The Secret Edge IBM C1000-181 Gives Top DBAs

In the rapidly evolving world of database administration, standing out requires more than just technical proficiency; it demands certified expertise. For professionals managing mission-critical data on mainframe systems, the IBM Db2 13 for z/OS Database Administrator Professional certification, signified by the IBM C1000-181 exam, represents a pinnacle of skill and dedication. This long-form article is your comprehensive guide to understanding why this certification is not just another credential, but a strategic asset that provides a significant, secret edge to top DBAs.

We'll delve into the profound impact of becoming an IBM Certified Professional, exploring how the IBM C1000-181 validates your mastery over Db2 13 for z/OS, enhances your career trajectory, and positions you at the forefront of enterprise database management. If you're a forward-thinking DBA ready to elevate your status and future-proof your career, read on to uncover the unparalleled value of this pivotal IBM certification.

Unlocking Elite Potential: What is the IBM C1000-181 Certification?

The IBM C1000-181 exam is specifically designed to validate a professional's advanced skills and knowledge in administering IBM Db2 13 for z/OS. This isn't merely a test of recall; it's an in-depth assessment of your ability to perform complex administrative tasks, ensuring the optimal performance, security, and availability of Db2 13 databases in a z/OS environment. Achieving the IBM Db2 13 for z/OS Database Administrator Professional certification demonstrates a profound understanding of the intricacies of mainframe data management.

It covers everything from installation and migration to performance tuning, backup, recovery, and security implementation. For any DBA serious about their craft and their career, understanding what is the IBM Db2 13 for z/OS Professional exam and its demands is the first step toward significant professional growth. This certification is a testament to an individual's capacity to handle the most challenging aspects of enterprise data. You can explore a path to future-proof your DBA career with the IBM C1000-181 edge.

The IBM Db2 13 for z/OS Database Administrator Professional Certification

The IBM Db2 13 for z/OS Database Administrator Professional certification is IBM's official recognition of expertise in this critical domain. It signifies that a DBA possesses the comprehensive skills required to manage Db2 13 for z/OS systems effectively and efficiently. This level of certification is often sought by senior DBAs, system programmers, and IT architects who are deeply involved with mainframe database environments.

It highlights the individual's ability to handle the operational complexities, performance demands, and security requirements inherent in high-volume, mission-critical systems. Earning this credential is a clear indicator to employers and peers of your commitment to excellence and your capability to contribute significantly to an organization's data infrastructure. The official IBM Db2 13 for z/OS certification page provides further details on the scope and requirements of this prestigious professional title.

Why Db2 13 for z/OS Matters for Top DBAs

Db2 for z/OS remains a cornerstone for many large enterprises, powering critical applications in finance, healthcare, government, and beyond. Db2 13 for z/OS brings significant enhancements in performance, availability, and resilience, making certified professionals highly sought after. Top DBAs recognize that mastering this version isn't just about maintaining current systems; it's about leveraging the latest features to drive innovation and ensure business continuity.

The complexity and scale of Db2 on z/OS environments necessitate administrators with specialized knowledge. The IBM C1000-181 exam ensures that certified individuals are not just familiar with the technology but are expert practitioners capable of optimizing its potential. This specialization sets top DBAs apart, giving them a distinct advantage in a competitive market.

Why IBM C1000-181 is a Career Game-Changer

For many database administrators, the IBM C1000-181 certification marks a pivotal moment in their career. It's more than just a badge; it's a declaration of high-level proficiency that can open doors to advanced roles and leadership opportunities. The benefits of IBM Db2 13 for z/OS DBA certification extend far beyond technical validation, impacting every facet of your professional journey.

Elevating Your Expertise

Preparing for the IBM C1000-181 exam forces a deep dive into Db2 13 for z/OS, refining your understanding of its architecture, features, and best practices. This rigorous process solidifies your expertise, transforming you from a competent DBA into an authoritative professional. You'll gain a nuanced perspective on performance tuning, advanced recovery scenarios, and robust security implementations that only come with such specialized study.

The journey to certification empowers you to tackle the most complex database challenges with confidence, knowing you possess a comprehensive understanding of the system's capabilities and limitations. This elevated expertise is invaluable in environments where data integrity and system uptime are paramount.

Unlocking New Career Horizons

The demand for skilled Db2 for z/OS professionals is consistently high, particularly for those with current certifications. The IBM C1000-181 acts as a powerful differentiator on your resume, signaling to potential employers that you are among the elite in the field. This can lead to exciting career opportunities IBM Db2 for z/OS administrator roles that offer greater responsibilities, higher compensation, and more strategic impact within organizations.

You might find yourself transitioning into senior DBA positions, consultant roles, or even architecting future-state data solutions. The certification provides a clear professional roadmap, paving the way for advanced Db2 for z/OS database administrator job roles that require sophisticated knowledge and proven capability.

Industry Recognition and Trust

IBM certifications are globally recognized and highly respected within the IT industry. Earning the IBM Db2 13 for z/OS Database Administrator Professional certification instantly confers a level of prestige and credibility. Employers trust IBM-certified professionals to possess verified skills and adhere to the highest industry standards.

This recognition not only enhances your personal brand but also builds trust with clients and stakeholders. When you hold an IBM C1000-181, you're not just saying you're capable; you're proving it through a credential backed by one of the world's leading technology companies. This trust translates into greater influence and opportunities to lead critical projects.

Staying Ahead in the DBA Landscape

The IT landscape is constantly changing, and staying relevant is key to long-term career success. By pursuing the IBM C1000-181, you commit to continuous learning and staying current with the latest advancements in Db2 for z/OS. This proactive approach ensures that your skills remain sharp and aligned with industry best practices, making you an indispensable asset in any organization.

The certification encourages a forward-thinking mindset, preparing you not just for today's challenges but for tomorrow's innovations. It ensures you understand how to implement new features and functionalities effectively, keeping your organization's data infrastructure robust and competitive. For those looking to explore a broader range of IBM certifications, numerous resources are available.

Mastering the IBM C1000-181 Exam: Your Preparation Roadmap

The path to achieving the IBM Db2 13 for z/OS Database Administrator Professional certification requires a structured and dedicated approach. Success hinges on a thorough IBM C1000-181 exam preparation guide that covers all objectives and utilizes effective study strategies.

Understanding the Db2 13 for z/OS Database Administrator Professional Syllabus

The first step in any successful exam preparation is to meticulously review the Db2 13 for z/OS database administrator professional syllabus. This document outlines all the topics and domains that the exam will cover, giving you a clear roadmap of what to study. Key areas typically include:

• Installation and migration procedures
• Database object management (tablespaces, tables, indexes, views)
• Data concurrency, integrity, and locking
• Security and authorization
• Backup and recovery strategies
• Performance monitoring and tuning
• Utilities and tools for Db2 administration

Each of these areas will be tested in detail, requiring both theoretical knowledge and practical application. For a comprehensive overview, refer to the detailed Db2 13 for z/OS professional syllabus.

Deconstructing the IBM C1000-181 Exam Objectives

Beyond the syllabus, understanding the specific IBM C1000-181 exam objectives is crucial. These objectives detail the tasks and skills a certified professional is expected to demonstrate. Breaking down each objective helps you focus your study efforts on areas where you might be weaker or where the exam places a greater emphasis.

For example, if an objective specifies "Diagnose and resolve performance problems," your preparation should involve not just understanding performance concepts but also practicing troubleshooting scenarios. This targeted approach ensures you're not just memorizing facts but developing a deep, functional understanding of Db2 for z/OS administration.

Effective IBM C1000-181 Exam Preparation Guide Strategies

A well-rounded preparation strategy involves several key components:

1. Official IBM Documentation: This is your primary source of truth for Db2 13 for z/OS. Dive deep into manuals, redbooks, and whitepapers.
2. Hands-on Experience: Theoretical knowledge is enhanced by practical application. Set up a test environment or use virtual labs to practice administrative tasks.
3. Study Groups: Collaborating with peers can provide new insights, clarify doubts, and keep you motivated.
4. Time Management: Allocate dedicated study time and stick to a schedule. Break down complex topics into manageable chunks.
5. Review and Revision: Regularly revisit topics to reinforce your understanding and identify areas that need more attention.

Consistent effort combined with smart study tactics will significantly increase your chances of success.

Leveraging IBM Db2 13 for z/OS Certification Study Materials

A wealth of IBM Db2 13 for z/OS certification study materials is available to aid your preparation. These can include official IBM training courses, online tutorials, books, and articles. Choose materials that align with your learning style and cover the syllabus comprehensively. High-quality study materials can simplify complex topics and provide practical examples.

Ensure the materials you select are current and specifically tailored for Db2 13 for z/OS. Outdated information can hinder your progress and lead to incorrect understanding. Combine various resources to get a holistic view of the exam topics.

The Power of C1000-181 Practice Exam Questions

One of the most effective ways to prepare for the IBM C1000-181 exam is by utilizing C1000-181 practice exam questions. Practice exams simulate the actual test environment, allowing you to:

• Familiarize yourself with the exam format and question types.
• Identify your strengths and weaknesses.
• Improve your time management skills under pressure.
• Reduce exam day anxiety.

Analyzing your performance on practice tests helps you refine your study plan, focusing on areas where you consistently score lower. Don't just take the tests; meticulously review both correct and incorrect answers to understand the underlying concepts. You can find useful C1000-181 certification sample questions to get started.

Best Resources for IBM Db2 13 for z/OS Exam Success

Beyond official documentation and practice tests, several other resources can be instrumental. Online communities and forums dedicated to Db2 for z/OS can provide peer support and answers to specific questions. Vendor-specific training courses, both official IBM offerings and third-party options, can offer structured learning paths. For comprehensive details on the IBM C1000-181 exam and available resources, it is beneficial to explore dedicated certification guides.

Additionally, whitepapers and case studies showcasing real-world Db2 for z/OS implementations can provide practical context and deepen your understanding of the technology's application in enterprise environments. Curate a diverse set of resources to ensure comprehensive coverage.

How to Pass IBM Db2 13 for z/OS DBA Professional Exam

Passing the IBM Db2 13 for z/OS DBA Professional exam is achievable with strategic planning and consistent effort. Here are some key tips:

• Master the Fundamentals: Ensure a strong grasp of core Db2 concepts before diving into advanced topics.
• Hands-On Practice: The exam often includes scenario-based questions. Practical experience is invaluable.
• Review Error Messages and Utilities: Knowledge of common error codes and how to use Db2 utilities is crucial.
• Understand New Features: Pay special attention to what's new in Db2 13 for z/OS compared to previous versions.
• Stay Calm on Exam Day: Read each question carefully, manage your time, and don't rush.

Combining these strategies with your dedicated study will equip you with the knowledge and confidence to pass.

Beyond Certification: The Impact on Your Professional Journey

Earning the IBM C1000-181 certification is not the end goal, but rather a powerful catalyst for your continued professional development. It reshapes your career trajectory, opening doors to advanced roles and leadership opportunities within the Db2 for z/OS ecosystem.

Career Opportunities IBM Db2 for z/OS Administrator

With an IBM C1000-181 certification, you significantly expand your career opportunities as an IBM Db2 for z/OS administrator. Organizations are constantly seeking highly skilled professionals who can manage their critical mainframe databases. You'll be well-positioned for roles such as Senior Db2 DBA, Lead Systems Programmer with a Db2 focus, Db2 Consultant, or even specialized roles in performance tuning or disaster recovery.

These positions often come with increased responsibilities, greater autonomy, and the chance to work on high-impact projects that directly affect business operations. Your certified expertise makes you a preferred candidate in a competitive job market.

Db2 for z/OS Database Administrator Job Roles

The job roles for Db2 for z/OS database administrators are diverse and critical. A certified professional might:

• Manage Database Performance: Monitor, diagnose, and resolve performance bottlenecks.
• Ensure Data Security: Implement and maintain robust security measures, manage user access, and audit activities.
• Oversee Backup and Recovery: Develop and execute comprehensive backup and recovery plans to ensure data availability and minimize downtime.
• Plan and Execute Migrations: Lead efforts to upgrade Db2 systems to newer versions, such as Db2 13 for z/OS.
• Provide Technical Leadership: Mentor junior DBAs and act as a subject matter expert for Db2-related projects.

The IBM C1000-181 prepares you for these complex and demanding responsibilities, enabling you to excel in these pivotal roles.

The IBM Db2 13 for z/OS Professional Certification Roadmap

The IBM Db2 13 for z/OS professional certification roadmap extends beyond just this single exam. IBM offers a structured path for professionals to continually advance their skills and credentials. After achieving the professional level, you might consider:

• Specialized Certifications: Focusing on specific aspects like Db2 application development or advanced system programming.
• Higher-Level Certifications: If available, pursuing expert-level certifications that demonstrate an even deeper and broader mastery.
• Continuous Learning: Keeping up-to-date with new versions and features of Db2 for z/OS as they are released.

This roadmap ensures that your expertise remains current and relevant throughout your career, reflecting your ongoing commitment to professional excellence.

Considering the Upgrade Path IBM Db2 for z/OS DBA Certification

For existing Db2 for z/OS DBAs holding older certifications, the IBM C1000-181 often represents a crucial upgrade path. Staying certified with the latest version, Db2 13 for z/OS, demonstrates your proactive approach to technology changes and your commitment to maintaining cutting-edge skills. Upgrading your certification ensures that your knowledge base is current with the newest features, performance enhancements, and security protocols.

It reinforces your value to employers, proving that you are capable of managing the most modern Db2 environments and leveraging their full potential. The upgrade path not only validates your updated skills but also opens up opportunities that might be inaccessible with older credentials.

Navigating the IBM C1000-181 Exam Logistics

Beyond the technical content, understanding the practical aspects of the IBM C1000-181 exam is crucial for a smooth certification journey. This includes details about the exam format, duration, and difficulty.

IBM C1000-181 Exam Cost and Duration

The IBM C1000-181 exam cost typically varies by region and testing center, usually falling within a standard range for professional-level IT certifications. Candidates should check the official IBM certification website or their chosen testing provider for the most accurate and up-to-date pricing information. The exam duration is generally set to allow ample time for candidates to thoroughly read and answer all questions, usually around 90 to 120 minutes for a professional exam of this caliber.

It's important to factor these logistical details into your planning, including budgeting for the exam fee and ensuring you schedule the exam at a time when you can focus without undue pressure.

Assessing IBM C1000-181 Exam Difficulty Level

The IBM C1000-181 exam difficulty level is considered advanced. It is designed for experienced Db2 for z/OS DBAs who possess several years of practical experience. The questions often test scenario-based understanding and require critical thinking, rather than simple recall. Candidates should expect questions that delve into complex configurations, troubleshooting, and optimization techniques.

While challenging, the exam is fair and accurately reflects the skills required for a professional-level administrator. Adequate preparation, hands-on experience, and thorough study of the syllabus and objectives are key to overcoming the perceived difficulty.

What is the IBM Db2 13 for z/OS Professional Exam Process

The process for taking the IBM Db2 13 for z/OS Professional exam typically involves:

1. Registration: Scheduling your exam through a Pearson VUE testing center or online proctoring service.
2. Preparation: Dedicated study using official documentation, training, and practice tests.
3. Taking the Exam: Arriving at the test center or logging into the online proctoring service, adhering to all exam rules.
4. Receiving Results: Immediate preliminary results, with official certification status granted upon verification.

Familiarize yourself with the specific rules and requirements of your chosen testing method to ensure a smooth experience on exam day.

Becoming an IBM Db2 13 for z/OS DBA

Becoming an IBM Db2 13 for z/OS DBA is a journey that combines education, experience, and formal certification. It starts with foundational knowledge of mainframe environments and database concepts, progresses through hands-on experience with Db2 for z/OS, and culminates with achieving professional certification like the IBM C1000-181. This path signifies a commitment to excellence and a desire to be at the forefront of enterprise data management.

The title of an IBM Db2 13 for z/OS DBA is not merely a job description; it is a recognition of a specialized skill set that is vital to the infrastructure of many global organizations. It means you are a trusted expert, capable of ensuring the highest standards of data integrity and system performance.

Conclusion

The IBM C1000-181 certification is more than a credential; it's a testament to your expertise, a catalyst for career acceleration, and a powerful statement of your commitment to excellence in the demanding field of database administration. For top DBAs, it offers that "secret edge"—the confidence, recognition, and advanced skillset that sets them apart.

By mastering Db2 13 for z/OS and achieving this professional certification, you position yourself not just as a competent administrator, but as a strategic asset capable of driving significant value. Don't just manage databases; lead the future of enterprise data. Invest in your expertise, pursue the IBM C1000-181, and unlock unparalleled career growth. If you are interested in expanding your knowledge further, consider exploring more IBM certification paths to broaden your expertise.

Frequently Asked Questions About IBM C1000-181

1. What is the IBM C1000-181 certification?

The IBM C1000-181 is the exam code for the IBM Db2 13 for z/OS Database Administrator Professional certification. It validates a professional's advanced skills in administering, managing, and optimizing Db2 13 for z/OS databases in a mainframe environment.

2. Who should pursue the IBM Db2 13 for z/OS DBA Professional certification?

This certification is ideal for experienced Database Administrators, System Programmers, and IT professionals who work with or intend to work extensively with IBM Db2 13 for z/OS and seek to validate their advanced expertise in this critical domain.

3. How difficult is the IBM C1000-181 exam?

The IBM C1000-181 exam is considered an advanced-level professional certification. It requires a solid foundation of practical experience with Db2 for z/OS and a comprehensive understanding of its features, administration, and troubleshooting. Adequate preparation and hands-on experience are crucial for success.

4. What are the main benefits of achieving the IBM C1000-181 certification?

Benefits include enhanced career opportunities, increased industry recognition and credibility, validation of specialized expertise in Db2 13 for z/OS, potential for higher earning potential, and a competitive edge in the job market for critical mainframe roles.

5. What kind of study materials are recommended for the IBM C1000-181 exam?

Recommended study materials include official IBM documentation (manuals, redbooks), IBM training courses, online tutorials, study guides, and extensive use of C1000-181 practice exam questions. Hands-on experience with Db2 13 for z/OS in a test environment is also highly beneficial.

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CIOs must prepare their organizations today for quantum-safe cryptography

Quantum computers are emerging from the pure research phase and becoming useful tools. They are used across industries and organizations to explore the frontiers of challenges in healthcare and life sciences, high energy physics, materials development, optimization and sustainability. However, as quantum computers scale, they will also be able to solve certain hard mathematical problems on which today’s public key cryptography relies. A future cryptographically relevant quantum computer (CRQC) might break globally used asymmetric cryptography algorithms that currently help ensure the confidentiality and integrity of data and the authenticity of systems access.

The risks imposed by a CRQC are far-reaching: possible data breaches, digital infrastructure disruptions and even widescale global manipulation. These future quantum computers will be among the biggest risks to the digital economy and pose a significant cyber risk to businesses.

There is already an active risk today. Cybercriminals are collecting encrypted data today with the goal of decrypting this data later when a CRQC is at their disposal, a threat known as “harvest now, decrypt later.” If they have access to a CRQC, they can retroactively decrypt the data, gaining unauthorized access to highly sensitive information.

Post-quantum cryptography to the rescue

Fortunately, post-quantum cryptography (PQC) algorithms, capable of protecting today’s systems and data, have been standardized. The National Institute of Standards and Technology (NIST) recently released the first set of three standards:

• ML-KEM: a key encapsulation mechanism selected for general encryption, such as for accessing secured websites
• ML-DSA: a lattice-based algorithm chosen for general-purpose digital signature protocols
• SLH-DSA: a stateless hash-based digital signature scheme

Two of the standards (ML-KEM and ML-DSA) were developed by IBM® with external collaborators, and the third (SLH-DSA) was co-developed by a scientist who has since joined IBM.

Those algorithms will be adopted by governments and industries around the world as part of security protocols such as “Transport Layer Security” (TLS) and many others.

The good news is that these algorithms are at our disposal to protect against the quantum risk. The bad news is that enterprises must migrate their estate to adopt these new PQC standards.

Previous cryptography algorithm migration programs took years to complete. Ask yourself as an organization: how long was your SHA1 to SHA2 migration program? What about your public key infrastructure (PKI) upgrade program where you increased the PKI trust chain key size from 1024-bit to 2048-bit keys or 3072-bits or 4096-bit keys? How long did all that take to roll out across your complex enterprise environment? Several years?

The impact from quantum computing and the implementation of the PQC standards is vast, covering a comprehensive estate of your organization. The quantum computing risk affects many more systems, security tools and services, applications and network infrastructure. Your organization needs to immediately transition toward PQC standards to safeguard your assets and data.

Start adopting quantum-safe cryptography today

To protect your organization against “harvest now, decrypt later” risks, we advise you to run a quantum-safe transformation program. Start adopting tools and use services that allow you to roll out the recently announced PQC encryption standards.

IBM has developed a comprehensive quantum-safe program methodology, which is currently running across dozens of clients, spread across key industries and dozens of countries, including national governments.

We advise clients to adopt a program with the following key phases:

• Phase 1: Prepare your cyber teams by delivering quantum risk awareness and identifying your priorities across the organization.
• Phase 2: Prepare and transform your organization for migration to PQC.
• Phase 3: Run your organization’s migration to PQC.

Phase 1: Prepare your teams

In phase 1 of the program journey, focus on key areas, such as creating an awareness campaign across the organization to educate stakeholders and security subject matter experts (SMEs) on the quantum risk. Establish quantum-safe “ambassadors” or “champions” who stay on top of the quantum risk and quantum-safe evolution and act as central contact for the program and help shape the enterprise strategy.

Next conduct risk assessments regarding the quantum risk against your organization’s cryptographically relevant business assets—which is any asset that uses or relies on cryptography in general.* For example, your risk and impact assessment should assess the business relevance of the asset, its environment complexity and migration difficulty, among other areas of assessment. Identify vulnerabilities within the business assets, including any urgent actions, and produce a report highlighting the findings to key stakeholders, helping them understand the organizational quantum risk posture. This can also serve as a baseline for developing your enterprise’s cryptography inventory.

Phase 2: Prepare your organization

In phase 2, guide your stakeholders on how to address the identified priority areas and potential cryptographic weaknesses and quantum risks. Then, detail remediation actions, such as highlighting systems that might not be able to support PQC algorithms. Finally, express the objectives of the migration program.

In this stage, IBM helps clients outline a quantum-safe migration roadmap that details the quantum-safe initiatives required for your organization to reach its objectives.

As we advise our clients: Consider critical initiatives in your roadmaps, such as developing a governance framework for cryptography, prioritizing systems and data for PQC migration. Update your secure software development practices and guidelines to use PQC by design and produce Cryptography Bills of Material (CBOMs). Work with your suppliers to understand third-party dependencies and cryptography artifacts. Update your procurement processes to focus on solutions and services that support PQC to prevent the creation of new cryptographic debt or new legacy.

One of the key required capabilities is ‘cryptographic observability,’ a cryptographic inventory that allows stakeholders to monitor the progress of adoption of PQC throughout your quantum-safe journey. Such an inventory should be supported by automatic data gathering, data analysis and risk and compliance posture management.

Phase 3: Run your migration

In phase 3, your organization runs the quantum-safe migration program by implementing initiatives based on priority systems/risk/cost, strategic objectives, delivery capacity, etc. Develop a quantum-safe strategy enforced through your organizational information security standards and policies.

Run the technology migration by using standardized, tested and proven reference architectures and migration patterns, journeys and blueprints.

Include the enablement of cryptographic agility within the development and migration solutions and implement cryptographic decoupling by abstracting local cryptography processing to centralized, governed and easily adaptable platform services.

Include in your program a feedback loop with lessons learned. Allow for the innovation and rapid testing of new approaches and solutions to support the migration program in the years ahead.

Challenges to expect during your PQC transition

Many elements are challenging to migrate. For example, fundamental components of internet infrastructure, such as wide area networks (WANs), local area networks (LANs), VPN concentrators and Site-2-Site links, will be more complex to migrate. Therefore, these elements require more attention than those that have limited use within the organization. Core cryptography services such as PKI, key management systems, secure payment systems, cryptography applications or backends such as HSMs, link encryptors and mainframes are all complex to migrate. You need to consider the dependencies on different applications and hardware, including technology interoperability issues.

You should also consider performance testing the PQC standards against your in-house systems and data workflows to help ensure compatibility and performance acceptability and identify any concerns. For example, PQC sometimes requires longer key sizes, ciphertext or signature sizes compared to currently used algorithms, which will need to be accounted for in integration and performance testing. Some organization-critical technologies still rely on legacy cryptography and might find it difficult or even impossible to migrate to PQC standards. Application refactoring and redesign might be required.

Other challenges include lack of skills or lack of documentations, which have created knowledge gaps within your enterprise. Hardcoded information within systems/config files/scripts, etc., will make it even more complex to migrate.

Make sure that your encryption keys and digital certificates are accurately tracked and managed. Poor management will further complicate the migration.

Not all use cases will be tested by international PQC working groups. There will be many combinations or configuration of technologies unique to your organizations, and you need to thoroughly test your systems from an end-to-end workflow perspective.

Don’t wait for regulations to catch up

Now that NIST has released a first set of PQC standards, we need to anticipate that regulation outside of the US will follow quickly. Examples in the context of the financial industry are:

• In the EU, the Digital Operations Resilience Act (DORA) explicitly mentions quantum risks in a regulatory technical standard in the context of ICT risk management.
• The Monetary Authority of Singapore (MAS) has called out a need that “senior management and relevant third-party vendors understand the potential threats of quantum technology.” It also mentions the need for “identifying and maintaining an inventory of cryptographic solutions.”
• The Payment Card Industry Data Security Standard (PCI DSS) v4.0.1 now contains a control point that requires “an up-to-date inventory of all cryptographic cipher suites and protocols in use, including purpose and where used.”

Therefore, we advise you to focus on developing your cryptography governance framework, which includes the development of a quantum-safe strategy for your organization. It should be aligned to your business strategic goals and vision and target timescales. A center of excellence should support and advise as part of the transformation program. The governance framework should focus on core pillars such as your organization’s regulatory oversight, cryptographic assurance and risk management, delivery capacity building and PQC education. It should support adoption of best practices within your application development and supply security architecture patterns and technical design review boards.

The transformation program is going to be long and complex. It requires numerous cross-departmental engagement and a wide range of skills. Ensure you manage and observe team morale and consider your organization’s working culture and change management practices to help ensure program cohesion across the many years of delivery.

Also, consider partnership development, as many organizations depend on many vendors specific to their industry and ecosystem. Collaborate with others within your industry to learn and share ideas to address the quantum risk and PQC migration together through working groups and user groups.

From an operational perspective, help ensure you have a traceability catalog of key enterprise and business services mapped to regulations and laws and start planning a timeline for transition around each.

How IBM helps organizations with their quantum-safe journey

IBM helps implement quantum-safe migration for clients in financial services, insurance, telecommunication, retail, energy and other industries. We help clients understand their quantum risks, improving their cryptographic maturity and agility, defining their quantum-safe targets and implementing various transformation initiatives, supported by a broad set of technology assets.

At the same time, we are helping to start industry consortia to drive adoption of quantum-safe cryptography, such as:

• In 2022, together with the GSMA and Vodafone, IBM started the Post Quantum Telco Network Taskforce (PQTN) to help the telco industry with adoption of PQC.
• In 2023, IBM, together with industry partners, started the PQC Coalition with MITRE to accelerate adoption of PQC in commercial and open source. In 2024, IBM helped set up the Post-Quantum Cryptography Alliance to drive PQC adoption forward as part of the Linux foundation.

Now that the first set of PQC standards have been released, organizations are expected to have a proper quantum-safe migration program in place. A solid program should include thorough risk and impact assessments, quantum-safe objectives and the right level of stakeholder attention. Prepare now for the adoption of quantum-safe standards and use technology to accelerate your journey.

Source: ibm.com

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How well do you know your hypervisor and firmware?

IBM Cloud Virtual Private Cloud (VPC) is designed for secured cloud computing, and several features of our platform planning, development and operations help ensure that design. However, because security in the cloud is typically a shared responsibility between the cloud service provider and the customer, it’s essential for you to fully understand the layers of security that your workloads run on here with us. That’s why here, we detail a few key security components of IBM Cloud VPC that aim to provide secured computing for our virtual server customers.

Let’s start with the hypervisor

The hypervisor, a critical component of any virtual server infrastructure, is designed to provide a secure environment on which customer workloads and a cloud’s native services can run. The entirety of its stack—from hardware and firmware to system software and configuration—must be protected from external tampering. Firmware and hypervisor software are the lowest layers of modifiable code and are prime targets of supply chain attacks and other privileged threats. Kernel-mode rootkits (also known as bootkits) are a type of privileged threat and are difficult to uncover by endpoint protection systems, such as antivirus and endpoint detection and response (EDR) software. They run before any protection system with the ability to obscure their presence and thus hide themselves. In short, securing the supply chain itself is crucial.

IBM Cloud VPC implements a range of controls to help address the quality, integrity and supply chain of the hardware, firmware and software we deploy, including qualification and testing before deployment.

IBM Cloud VPC’s 3rd generation solutions leverage pervasive code signing to protect the integrity of the platform. Through this process, firmware is digitally signed at the point of origin and signatures are authenticated before installation. At system start-up, a platform security module then verifies the integrity of the system firmware image before initialization of the system processor. The firmware, in turn, authenticates the hypervisor, including device software, thus establishing the system’s root of trust in the platform security module hardware.

Device configuration and verification

IBM Cloud Virtual Servers for VPC provide a wide variety of profile options (vCPU + RAM + bandwidth provisioning bundles) to help meet customers’ different workload requirements. Each profile type is managed through a set of product specifications. These product specifications outline the physical hardware’s composition, the firmware’s composition and the configuration for the server. The software includes, but is not limited to, the host firmware and component devices. These product profiles are developed and overseen by a hardware leadership team and are versioned for use across our fleet of servers.

As new hardware and software assets are brought into our IBM Cloud VPC environment, they’re also mapped to a product specification, which outlines their intended configuration. The intake verification process then validates that the server’s actual physical composition matches that of the specification before its entry into the fleet. If there’s a physical composition that doesn’t match the specification, the server is cordoned off for inspection and remediation. 

The intake verification process also verifies the firmware and hardware. 

There are two dimensions of this verification:

1. Firmware is signed by an approved supplier before it can be installed on an IBM Cloud Virtual Server for VPC system. This helps ensure only approved firmware is applied to the servers. IBM Cloud works with several suppliers to help ensure firmware is signed and components are configured to reject unauthorized firmware.

2. Only firmware that is approved through the IBM Cloud governed specification qualifies for installation. The governed specification is updated cyclically to add newly qualified firmware versions and remove obsolete versions. This type of firmware verification is also performed as part of the server intake process and before any firmware update.

Server configuration is also managed through the governed product specifications. Certain solutions might need custom unified extensible firmware interface (UEFI) configurations, certain features enabled or restrictions put in place. The product specification manages the configurations, which are applied through automation on the servers. Servers are scanned by IBM Cloud’s monitoring and compliance framework at run time.

Specification versioning and promotion

As mentioned earlier, the core components of the IBM Cloud VPC virtual server management process are the product specifications. Product specifications are definition files that contain the configurations for all server profiles maintained and are reviewed by the corresponding IBM Cloud product leader and governance-focused leadership team. Together, they control and manage the server’s approved components, configuration and firmware levels to be applied. The governance-focused leadership team strives for commonality where needed, whereas the product leaders focus on providing value and market differentiation.

It’s important to remember that specifications don’t stand still. These definition files are living documents that evolve as new firmware levels are released or the server hardware grows to support extra vendor devices. Because of this, the IBM Cloud VPC specification process is versioned to capture changes throughout the server’s lifecycle. Each server deployment captures the version of the specification that it was deployed with and provides identification of the intended versus actual state as well.

Promotion of specifications is also necessary. When a specification is updated, it doesn’t necessarily mean it’s immediately effective across the production environments. Instead, it moves through the appropriate development, integration and preproduction (staging) channels before moving to production. Depending on the types of devices or fixes being addressed, there might even be a varying schedule for how quickly the rollout occurs.

Figure 1: IBM Cloud VPC specification promotion process

Firmware on IBM Cloud VPC is typically updated in waves. Where possible, it might be updated live, although some updates require downtime. Generally, this is unseen by our customers due to live migration. However, as the firmware updates roll through production, they can take time to move customers around. So, when a specification update is promoted through the pipeline, it then starts the update through the various runtime systems. The velocity of the update is generally dictated by the severity of the change.

How IBM Cloud VPC virtual servers set up a hardware root of trust

IBM Cloud Virtual Servers for VPC include root of trust hardware known as the platform security module. Among other functions, the platform security module hardware is designed to verify the authenticity and integrity of the platform firmware image before the main processor can boot. It verifies the image authenticity and signature using an approved certificate. The platform security module also stores copies of the platform firmware image. If the platform security module finds that the firmware image installed on the host was not signed with the approved certificate, the platform security module replaces it with one of its images before initializing the main processor.

Upon initialization of the main processor and loading of the system firmware, the firmware is then responsible for authenticating the hypervisor’s bootloader as part of a process known as secure boot, which aims to establish the next link in a chain of trust. The firmware verifies that the bootloader was signed using an authorized key before it was loaded. Keys are authorized when their corresponding public counterparts are enrolled in the server’s key database. Once the bootloader is cleared and loaded, it validates the kernel before the latter can run. Finally, the kernel validates all modules before they’re loaded onto the kernel. Any component that fails the validation is rejected, causing the system boot to halt.

The integration of secure boot with the platform security module aims to create a line of defense against the injection of unauthorized software through supply chain attacks or privileged operations on the server. Only approved firmware, bootloaders, kernels and kernel modules signed with IBM Cloud certificates and those of previously approved operating system suppliers can boot on IBM Cloud Virtual Servers for VPC.

The firmware configuration process described above includes the verification of firmware secure boot keys against the list of those initially approved. These consist of boot keys in the authorized keys database, the forbidden keys, the exchange key and the platform key.

Secure boot also includes a provision to enroll additional kernel and kernel module signing keys into the first stage bootloader (shim), also known as the machine owner key (mok). Therefore, IBM Cloud’s operating system configuration process is also designed so that only approved keys are enrolled in the mok facility.

Once a server passes all qualifications and is approved to boot, an audit chain is established that’s rooted in the hardware of the platform security module and extends to modules loaded into the kernel.

Figure 2: IBM Cloud VPC secure boot audit chain

How do I use verified hypervisors on IBM Cloud VPC virtual servers?

Good question. Hypervisor verification is on by default for supported IBM Cloud Virtual Servers for VPC. Choose a generation 3 virtual server profile (such as bx3d, cx3d, mx3d or gx3), as shown below, to help ensure your virtual server instances run on hypervisor-verified supported servers. These capabilities are readily available as part of existing offerings and customers can take advantage by deploying virtual servers with a generation 3 server profile.

Figure 3: IBM Cloud Virtual Servers for VPC, Generation 3

IBM Cloud continues to evolve its security architecture and enhances it by introducing new features and capabilities to help support our customers.

Source: ibm.com

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How a solid generative AI strategy can improve telecom network operations

Generative AI (gen AI) has transformed industries with applications such as document-based Q&A with reasoning, customer service chatbots and summarization tasks. These use cases have demonstrated the impressive capabilities of large language models (LLMs) in understanding and generating human-like responses, particularly in fields requiring nuanced language understanding and inferencing.

However, in the realm of telecom network operations, the data is different. The observability data comes from proprietary sources and encompasses a wide variety of formats, including alarms, performance metrics, probes and ticketing systems capturing incidents, defects and changes. This data, whether structured or unstructured, is deeply embedded in a domain-specific language. This includes terms and concepts from technologies like 5G, IP-MPLS and other network protocols.

A notable challenge arises from the fact that standard foundational LLMs are not typically trained on this highly specialized and technical data. This needs a careful strategy for integrating gen AI into the telecom operations domain, where operational efficiencies and accuracy are paramount.

Successfully using gen AI for network operations requires tailoring the models to this niche context while addressing unique challenges around data specificity and system integration.

How generative AI addresses network operations challenges

The complexity and diversity of network data, along with rapidly changing technologies, presents several challenges for network operations. Gen AI offers efficient solutions where traditional methods are costly or impractical.

• Time-consuming processes: Switching between multiple systems (such as alarms, performance or traces) delays problem resolution. Generative AI centralizes data into one interface providing natural language experience, speeding up issue resolution by reducing system toggling.
• Data fragmentation: Scattered data across platforms prevents a cohesive view of issues. Generative AI consolidates data from various sources based on the training. It can correlate and present data in a unified view, enhancing issue comprehension.
• Complex interfaces: Engineers spend extra time adapting to various system interfaces (such as UIs, scripts and reports). Generative AI provides a natural language interface, simplifying navigation across complex systems.
• Human error: Manual data consolidation leads to misdiagnoses due to data fragmentation challenges. AI-driven data analysis reduces errors, helping ensure accurate diagnosis and resolution.
• Inconsistent data formats: Varying data formats make analysis difficult. Gen AI model training can provide standardized data output, improving correlation and troubleshooting.

Challenges in applying generative AI in network operations

While gen AI offers transformative potential in network operations, several challenges must be addressed to help ensure effective implementation:

• Relevance and contextual precision: General-purpose language models perform well in nontechnical contexts, but in network-specific use cases, models need to be fine-tuned with domain-specific terminology to deliver relevant and precise results.
• AI guardrails and hallucinations: In network operations, outputs must be grounded in technical accuracy, not just linguistic sense. Strong AI guardrails are essential to prevent incorrect or misleading results.
• Chain-of-thought (CoT) loops: Network use cases often involve multistep reasoning across multiple data sources. Without proper control, AI agents can enter endless loops, leading to inefficiencies due to incomplete or misunderstood data.
• Explainability and transparency: In critical network operations, engineers must understand how AI-derived decisions are made. AI systems must provide clear and transparent reasoning to build trust and help ensure effective troubleshooting, avoiding “black box” situations.
• Continuous model enhancements: Constant feedback from technical experts is crucial for model improvement. This feedback loop should be integrated into model training to keep pace with the evolving network environment.

Implementing a workable strategy to maximize business benefits

Key design principles can help ensure the successful implementation of gen AI in network operations. These include:  

• Multilayer agent architecture: A supervisor/worker model offers modularity, making it easier to integrate legacy network interfaces while supporting scalability.
• Intelligent data retrieval: Using Reflective Retrieval-Augmented Generation (RAG) with hallucination safeguards helps ensure reliable, relevant data processing.
• Directed chain of thought: This pattern helps guide AI reasoning to deliver predictable outcomes and avoid deadlocks in decision-making.
• Transactional-level traceability: Every AI decision should be auditable, ensuring accountability and transparency at a granular level.
• Standardized tooling: Seamless integration with various enterprise data sources is crucial for broad network compatibility.
• Exit prompt tuning: Continuous model improvement is enabled through prompt tuning, ensuring that it adapts and evolves based on operational feedback.

Implementing a gen AI strategy in network operations can lead to significant performance improvements, including:

• Faster mean time to repair (MTTR): Achieve a 30-40% reduction in MTTR, resulting in enhanced network uptime.
• Reduced average handle time (AHT): Decrease the time network operations center (NOC) technicians expenditure addressing field technician queries by 30-40%.
• Lower escalation rates: Reduce the percentage of tickets escalated to L3/L4 by 20-30%.

Beyond these KPIs, gen AI can enhance the overall quality and efficiency of network operations, benefiting both staff and processes.

IBM Consulting, as part of its telecommunications solution offerings, provides reference implementation of the above strategy, helping our clients in applying gen AI-based solutions successfully in their network operations.

Source: ibm.com

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New IBM study: How business leaders can harness the power of gen AI to drive sustainable IT transformation

As organizations strive to balance productivity, innovation and environmental responsibility, the need for sustainable IT practices is even more pressing. A new global study from the IBM Institute for Business Value reveals that emerging technologies, particularly generative AI, can play a pivotal role in advancing sustainable IT initiatives. However, successful transformation of IT systems demands a strategic and enterprise-wide approach to sustainability.

The power of generative AI in sustainable IT

Generative AI is creating new opportunities to transform IT operations and make them more sustainable. Teams can use this technology to quickly translate code into more energy-efficient languages, develop more sustainable algorithms and software and analyze code performance to optimize energy consumption. 27% of organizations surveyed are already applying generative AI in their sustainable IT initiatives, and 63% of respondents plan to follow suit by the end of 2024. By 2027, 89% are expecting to be using generative AI in their efforts to reduce the environmental impact of IT.

Despite the growing interest in using generative AI for sustainability initiatives, leaders must first consider its broader implications, particularly energy consumption.

64% say they are using generative AI and large language models, yet only one-third of those report having made significant progress in addressing its environmental impact. To bridge this gap, executives must take a thoughtful and intentional approach to generative AI, asking questions like, “What do we need to achieve?” and “What is the smallest model that we can use to get there?”

A holistic approach to sustainability

To have a lasting impact, sustainability must be woven into the very fabric of an organization, breaking free from traditional silos and incorporating it into every aspect of operations. Leading organizations are already embracing this approach, integrating sustainable practices across their entire operations, from data centers to supply chains, to networks and products. This enables operational efficiency by optimizing resource allocation and utilization, maximizing output and minimizing waste.

The results are telling: 98% of surveyed organizations that take a holistic, enterprise-wide approach to sustainable IT report seeing benefits in operational efficiency—compared to 50% that do not. The leading organizations also attribute greater reductions in energy usage and costs to their efforts. Moreover, they report impressive environmental benefits, with two times greater reduction in their IT carbon footprint.

Hybrid cloud and automation: key enablers of sustainable IT

Many organizations are turning to hybrid cloud and automation technologies to help reduce their environmental footprint and improve business performance. By providing visibility into data, workloads and applications across multiple clouds and systems, a hybrid cloud platform enables leaders to make data-driven decisions. This allows them to determine where to run their workloads, thereby reducing energy consumption and minimizing their environmental impact.

In fact, one quarter (25%) of surveyed organizations are already using hybrid cloud solutions to boost their sustainability and energy efficiency. Nearly half (46%) of those report a substantial positive impact on their overall IT sustainability. Automation is also playing a key role in this shift. With 83% of leading organizations harnessing its power to dynamically adjust IT environments based on demand.

Sustainable IT strategies for a better tomorrow

The future of innovation is inextricably linked to a deep commitment to sustainability. As business leaders harness the power of technology to drive impact, responsible decision-making is crucial, particularly in the face of emerging technologies such as generative AI. To better navigate this intersection of IT and sustainability, here are a few actions to consider: 

1. Actively manage the energy consumption associated with AI: Optimize the value of generative AI while minimizing its environmental footprint by actively managing energy consumption from development to deployment. For example, choose AI models that are designed for speed and energy efficiency to process information more effectively while reducing the computational power required.

2. Identify your environmental impact drivers: Understand how different elements of your IT estate influence environmental impacts and how this can change as you scale new IT efforts.

3. Embrace sustainable-by-design principles: Embed sustainability assessments into the design and planning stages of every IT project, by using a hybrid cloud platform to centralize control and gain better visibility across your entire IT estate.

Source: ibm.com

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Using AI to conserve the endangered African forest elephant

In the Congo Basin, the second-largest rainforest in the world, the African forest elephant population has been in drastic decline for decades. This decline is the result of habitat loss caused by deforestation and climate change, along with rampant poaching.

We can observe the beneficial environmental effects of these species starting to disappear. As a keystone species in the habitat, the dwindling presence of the elephants has major implications you might not imagine. African forest elephants have been shown to increase carbon storage in their habitats. They are “ecosystem engineers” according to the World Wide Fund for Nature, clearing out lesser vegetation and making room for stronger, more resilient, flora to thrive.

While we know these changes will occur as the elephant population shrinks, actually seeing it happen presents challenges. The World Wide Fund for Nature-Germany aims to track and identify individual elephants to count them. With help from IBM, the WWF will be able to use a system of camera traps connected to software that enables automatic tracking as opposed to manual tracking.

Augmenting our vision with tech

That is where computer vision can serve as a fresh set of eyes. IBM announced earlier this year that it would team with WWF to pair camera traps with IBM Maximo® Visual Inspection (MVI) to help monitor and track individual elephants as they pass by the camera traps.

“MVI’s AI-powered visual inspection and modeling capabilities allow for head- and tusk-related image recognition of individual elephants similar to the way we identify humans via fingerprints,” explained Kendra DeKeyrel, Vice President ESG and Asset Management Product Leader at IBM. 

These capabilities allow for not only counting or spotting the individual elephants, but also tracking some of their behaviors to better understand their movement patterns and impact in the ecosystem. MVI particularly offers help in automating the process of identifying these elephants instead of having staff manually look at the images. Additionally, the AI’s advanced visual recognition capabilities can pull the identity of an elephant from an image that is blurry or incomplete.

“Counting African forest elephants is both difficult and costly,” Dr. Thomas Breuer, WWF’s African Forest Elephant Coordinator, said. “The logistics are complex and the resulting population numbers are not precise. Being able to identify individual elephants from camera trap images with the help of AI has the potential to be a game-changer.”

Strengthening our connection to the natural world

As more about the movement and migration of the African forest elephant is gleaned, more additional information can be pulled from our increased understanding of how the species is behaving and interacting with its environment. “IBM is exploring how to leverage IBM Environmental Intelligence above ground biomass estimates to better predict elephants’ future locations and migration patterns, as well as their impact on a specific forest,” DeKeyrel said.

That includes determining how much the African forest elephants can help with mitigating climate change. It’s understood that the presence of elephants helps to increase the carbon storage capacity of the forest. “African forest elephants play a crucial role in influencing the shape of the forest structure, including helping increase the diversity, density, and abundance of plant and tree species,” Oday Abbosh, IBM Global Sustainability Services Leader, explained. It’s estimated that one forest elephant can increase the net carbon capture capacity of the forest by almost 250 acres, the equivalent of removing a full year’s worth of emissions from 2,047 cars from the atmosphere.

Having a more accurate image of the elephant population allows for performance-based conservation payments, such as wildlife credits. In the future, this could help enable organizations to better assess the financial value of nature’s contributions to people (NCP) provided by African forest elephants, such as carbon sequestration services.

We know the animal kingdom is constantly shaping the planet, and being affected by our own activity even when we can’t see it. Due to continuing breakthroughs in technology, we’re increasingly getting a clearer picture of the world of wildlife that was previously difficult to capture. When we can see it, we can react to it, helping to protect species that need help and strengthening our connection to the natural world.

“Our collaboration with WWF marks a significant step forward in this effort,” Abbosh said, “By combining our expertise in technology and sustainability with WWF’s conservation expertise, we aim to leverage the power of technology to create a more sustainable future.”

Source: ibm.com

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Internet of Animals: A look at the new tech getting animals online

All living things on Earth are connected, in that we all affect one another, directly and indirectly. But more often than not, we don’t see or know what is happening in the lives of animals. Deep in the jungles and forests, far off in the deserts and prairies, many species of animals are seeing their behavior change as the planet warms in ways we can’t see.

Thanks to technological achievements in recent years, we are starting to have a clearer look into these environments that have previously been obscured from our view. Modern breakthroughs have made tracking tools less invasive, easier to manage, and have created the conditions for better seeing and understanding of wildlife, including how they move and behave.

A team of researchers has tapped these innovations to create a global network of animals, tracking the movement of thousands of creatures in a way that reveals never-before-seen activity. Through this data, we’re gaining a new understanding of animal migration, what is causing it, and how different species are adapting to climate change and rapid changes to their ecosystems.

Getting animals online

In 2001—before the Internet of Things was much more than a sci-fi-like fantasy, before even half of the United States was regularly online—professor of ecology and evolutionary biology Martin Wikelski had an idea for a global network of sensors that could provide never-before accessible insight into the activities of animals who live well outside of the human-dominated parts of the planet.

The “Internet of Animals” known as ICARUS (International Cooperation for Animal Research Using Space) went from idea to reality in 2018 when, after nearly two decades of laying groundwork, a receiver was launched to the International Space Station and embedded on the Russian portion of the orbiting science laboratory, where it functioned as a central satellite-style receiver, collecting data from more than 3,500 animals that had been tagged with tiny trackers.

According to Uschi Müller, ICARUS Project Coordinator and member of the Department of Migration Team at the Max Planck Institute of Animal Behavior in Germany, the ICARUS receiver collected the data from the trackers and sent it to a ground station, where the information was then uploaded to Movebank, an open source database that hosts animal sensor data for researchers and wildlife managers to freely access.

The original version of ICARUS was groundbreaking but limited. “The ISS only covers an area up to 55 degrees North and 55 degrees South within its flight path,” explained Müller. Mechanical issues on ISS knocked the network offline in 2020, and Russia’s invasion of Ukraine in 2022 brought the tracking activity to a grinding halt.

Expanding the vision

“The dependence on a single ICARUS payload…demonstrated the vulnerability of the former infrastructure,” Müller said. Animals continued to carry the trackers, a burden that was no longer producing benefits for potentially understanding and protecting them. And the sudden absence in the database that counts on regular updates carried the potential for harmful consequences to scientific research. 

While it’s hard to say getting plunged back into darkness is ever a benefit to those who value data and information, the event was illuminating on its own. It sent the ICARUS team back to the drawing board, which also allowed them to build a system that wouldn’t just get them back online but would offer fail-safes that could mitigate risks of future outages.

“What was initially a shock for all the scientists involved very quickly turned into a euphoric ‘Plan B’ and the development of a new, much more powerful and much cheaper CubeSat system, flanked by a terrestrial observation system,” Müller said. 

The space segment of the new system will include multiple payloads, the first of which will be launched in 2025 in partnership with the University of the Federal Armed Forces in Munich. It will be the first five planned launches, which will send CubeSat satellites, nanosatellites that will hang in polar orbit and provide coverage across the entire planet rather than a limited range. 

They will work in collaboration with a terrestrial “Internet of Things” style network that will be able to generate real-time data from the ground. The result, according to Müller, will be “tagged animals can be observed much more frequently, more reliably and in every part of the world.”

These receivers will be picking up data from upgraded tags, which the ICARUS team has been working tirelessly to shrink down to a size that minimizes invasiveness for the animal. The tags that will be used for the latest version of the ICARUS system will weigh just 0.95 grams, but according to Müller, their transmitters have gotten incredibly small in recent years. 

“Thanks to the continuous technical development of animal transmitters, which now weigh just as little as 0.08 grams and are extremely powerful, even insects such as butterflies and bees as well as the smallest bats can be tagged for the first time,” she said.

Once the new ICARUS system is online, Müller and the team expect to see the clouded vision of the animal kingdom continue to clear up. “The migration routes and the behavior and interactions of animals about which almost nothing is known to date can be researched,” she said of the project. “We continue to expect great interest in the scientific world to use this system and to continuously develop and optimize it.”

Source: ibm.com

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IBM Planning Analytics: The scalable solution for enterprise growth

Companies need powerful tools to handle complex financial planning. At IBM, we’ve developed Planning Analytics, a revolutionary solution that transforms how organizations approach planning and analytics. With robust features and unparalleled scalability, IBM Planning Analytics is the preferred choice for businesses worldwide.

We’ll explore the aspects of IBM Planning Analytics that set it apart in the enterprise performance management landscape. We delve into its architecture, scalability and core technology, highlighting its data handling capabilities and modeling flexibility.

We’ll also showcase its analytics functions and integration possibilities. By the end, you’ll understand why IBM Planning Analytics is the superior choice for your enterprise planning needs.

Platform architecture and scalability

IBM Planning Analytics Architecture

IBM Planning Analytics features a robust and adaptable architecture, powered by a cutting-edge in-memory online analytical processing (OLAP) engine that provides rapid, scalable analytics. The system employs a distributed, multitier architecture centered on the IBM TM1 engine server, enabling seamless integration and connectivity across platforms and clients.

A key strength of IBM Planning Analytics is its multitier architecture, which includes a server component that houses the in-memory OLAP engine, advanced planning and analytics functions, and an intuitive web-based user interface.

Scalability without limits

Planning Analytics offers unmatched scalability, a standout feature in the enterprise planning world. Powered by TM1, a highly efficient in-memory engine, the system easily handles massive data volumes. What’s impressive is the absence of practical restrictions on model size or complexity.

The solution is designed to manage enormous memory capacity, enabling you to build large and complex data models while maintaining smooth performance and usability. Many customers use models with hundreds of thousands or even millions of data points. We’ve seen data models exceed 5 TB in size, and IBM Planning Analytics still delivers excellent performance.

Scalability means that IBM Planning Analytics can grow with your business and adapt to evolving requirements, supporting even the most complex business applications.

Performance that keeps pace with your business

At IBM, we understand that performance is key. IBM Planning Analytics is built for speed, delivering fast results even with enormous data sets and complex calculations. Its in-memory processing helps to ensure that data is ready for quick analysis and reporting, enabling real-time what-if scenarios and reports without lag.

Our solution handles massive multidimensional cubes seamlessly, enabling you to maintain a complete view of your data without sacrificing performance or data integrity. This combination of unlimited scalability and high performance means that your business can expand without outgrowing your planning solution. With IBM Planning Analytics, you’re not just planning for today, you’re future-proofing for tomorrow.

Performance benchmarks

Our in-memory TM1 engine rapidly analyzes big data, delivering real-time insights and AI-powered forecasting for faster, more accurate planning. Here’s how it has made a difference for our clients:

• Solar Coca-Cola: Simulates the impact of stock keeping unit (SKU) price changes on margins and profits in real time, eliminating the need for manual spreadsheets.
• Mawgif: Manages and analyzes data in real time, optimizing revenue and efficiency.
• Novolex: Reduced its 6-week forecasting process by 83%, bringing it down to less than a week.

These benchmarks highlight the power and efficiency of IBM Planning Analytics in transforming complex planning and analytics processes across industries.

Data handling and performance

IBM Planning Analytics Data Handling

IBM Planning Analytics excels in data handling. Built on our powerful TM1 analytics engine, this enterprise performance management tool transcends the limits of manual planning. We store data in in-memory multidimensional OLAP cubes, providing lightning-fast access and processing capabilities.

One of the standout features of IBM Planning Analytics is its ability to handle massive data volumes. With a theoretical limit of 16 million terabytes of memory, our system can create and manage large and complex data models while maintaining excellent performance.

Performance benchmarks

IBM Planning Analytics excels in handling large data volumes, complex calculations and multiple concurrent users, helping to ensure fast and efficient processing as data needs grow. Our TM1 in-memory database rapidly analyzes big data, providing real-time insights for accurate planning across financial planning and analysis (FP&A), sales and supply chain functions.

Data updates are processed instantly, reflecting changes in real time and handling millions of rows per second, so decision-makers have up-to-date information. With no practical limits on cube size or dimensionality, Planning Analytics supports even the most complex models.

Our clients work with massive data sets, including 51 quintillion intersections and environments exceeding 5 TB, all while maintaining seamless performance.

Modeling flexibility and customization

IBM Planning Analytics Modeling

When it comes to modeling flexibility, IBM Planning Analytics stands out. Our solution offers unmatched freedom in design and configuration, supporting any combination of configurations to align with your specific process requirements. There are no practical limitations on the number of dimensions, elements, hierarchies, real-time calculations or defined processes you can implement.

This flexibility enables us to build fully customized solutions tailored to your needs. You start with a blank slate, empowering you to design your entire solution from scratch. While this might seem daunting at first, it enables you to start small and expand your application step by step, helping to ensure that it aligns perfectly with your business processes.

Our approach to modeling is designed to give you complete control over your planning and analytics environment. Whether you’re dealing with simple forecasts or complex, multidimensional models, IBM Planning Analytics provides the tools and flexibility you need to create a solution that works for you.

IBM Planning Analytics combines the best elements of spreadsheets, databases and OLAP cubes, offering unparalleled flexibility, scale and analytical capabilities. Our solution is built to support enterprise-wide integrated planning at scale, addressing the needs of businesses of all sizes.

A key strength of IBM Planning Analytics is its intuitive interface. We’ve simplified users and developers from technical tasks by implementing intuitive configuration options and tools. This creates a system that’s simple to use for both development and maintenance. The work is largely configuration-based, using predefined menus and options, with many rules and calculations created using a graphical user interface.

Customization capabilities

When it comes to customization, IBM Planning Analytics offers unmatched flexibility. Our solution is free of constraints, enabling you to build solutions that adapt to any process or requirement. This level of customization is beneficial for businesses with complex and unique needs. Our modeling flexibility is a key differentiator, providing the tools needed to create solutions tailored to your business processes.

Integration and data connectivity

IBM Planning Analytics Integrations

At IBM, we’ve helped to ensure that IBM Planning Analytics excels when it comes to integration capabilities. We offer embedded tools that make integration seamless for any combination of cloud and on-premises environments.

IBM Planning Analytics provides several integration options:

1. ODBC connection using TM1 Turbo Integrator: This powerful utility enables users to automate data import, manage metadata and perform administrative tasks.
2. Push-pull using flat files: Turbo Integrator supports reading and writing flat files, which is useful for pushing data from TM1 to a relational database.
3. Using the REST API: This increasingly popular option opens up possibilities for a single tool to manage data push-pull operations.
4. Microsoft Office 365 integration: Seamless integration fosters effortless collaboration.
5. ERP system connectivity: Our solution connects with major enterprise resource planning (ERP) systems such as SAP, Oracle and Microsoft Dynamics, helping to ensure smooth financial and operational data flow.
6. Customer relationship management (CRM) integration: Integrations with systems such as Salesforce provide access to crucial sales and customer data.
7. Data warehouses and business intelligence (BI) tools: Our solution interfaces with data warehouses and BI tools, enabling advanced analytics and comprehensive reporting.

Connectivity options

IBM Planning Analytics stands out with its flexible deployment options, offering both cloud and on-premises capabilities to cater to diverse customer needs. Our solution integrates seamlessly with IBM® Cognos® Analytics for advanced reporting and dashboarding, and it connects with various databases and ERP systems, creating a unified planning ecosystem.

Our open application programming interface (API) and extensive integration capabilities enable organizations to connect IBM Planning Analytics with their existing technology stack, creating a cohesive and integrated planning experience that streamlines processes and enhances efficiency.

Experience IBM Planning Analytics

When evaluating a planning and analytics solution, businesses must consider their specific needs, scalability requirements and budget constraints. At IBM, we designed Planning Analytics to provide more flexibility in deployment options and pricing models, often resulting in a lower total cost of ownership for complex, large-scale implementations. We invite you to experience the transformative power of IBM Planning Analytics firsthand. Try the demo to explore how our solution can revolutionize your planning processes. We are confident that IBM Planning Analytics will meet and exceed your organization’s unique requirements and goals in the ever-evolving landscape of business performance management.

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