Applying generative AI to revolutionize telco network operations

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Generative AI is shaping the future of telecommunications network operations. The potential applications for enhancing network operations include predicting the values of key performance indicators (KPIs), forecasting traffic congestion, enabling the move to prescriptive analytics, providing design advisory services and acting as network operations center (NOC) assistants.In addition...

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Best practices for augmenting human intelligence with AI

Artificial intelligence (AI) should be designed to include and balance human oversight, agency and accountability over decisions across the AI lifecycle. IBM’s first Principle for Trust and Transparency states that the purpose of AI is to augment human intelligence. Augmented human intelligence means that the use of AI...

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Top 7 risks to your identity security posture

Detecting and remediating identity misconfigurations and blind spots is critical to an organization’s identity security posture especially as identity has become the new perimeter and a key pillar of an identity fabric. Let’s explore what identity blind spots and misconfigurations are, detail why finding them is essential, and...

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Speed, scale and trustworthy AI on IBM Z with Machine Learning for IBM z/OS v3.2

Recent years have seen a remarkable surge in AI adoption, with businesses doubling down. According to the IBM® Global AI Adoption Index, about 42% of enterprise-scale companies surveyed (> 1,000 employees) report having actively deployed AI in their business. 59% of those companies surveyed that are already exploring...

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How IBM and AWS are partnering to deliver the promise of responsible AI

The artificial intelligence (AI) governance market is experiencing rapid growth, with the worldwide AI software market projected to expand from USD 64 billion in 2022 to nearly USD 251 billion by 2027, reflecting a compound annual growth rate (CAGR) of 31.4% (IDC). This growth underscores the escalating need...

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The recipe for RAG: How cloud services enable generative AI outcomes across industries

According to research from IBM, about 42 percent of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing...

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Immutable backup strategies with cloud storage

Cyberthreats, once a mostly predictable risk limited to isolated incidents, are now pervasive. Attackers aided by advancements in AI and global connectivity are continually seeking out vulnerabilities in security defenses so they can access critical infrastructure and customer data. Eventually, an attack will compromise an administrative account or...

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Types of central processing units (CPUs)

What is a CPU?The central processing unit (CPU) is the computer’s brain. It handles the assignment and processing of tasks and manages operational functions that all types of computers use.CPU types are designated according to the kind of chip that they use for processing data. There’s a wide...

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T-Mobile unlocks marketing efficiency with Adobe Workfront

With 109 million customers and counting, “uncarrier” T-Mobile is one of the top mobile communications providers in the U.S. The company always puts the customer first, which it achieves by delivering the right experiences and content to the right customers at the right time. But with different sub-brands...

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5 SLA metrics you should be monitoring

In business and beyond, communication is king. Successful service level agreements (SLAs) operate on this principle, laying the foundation for successful provider-customer relationships.A service level agreement (SLA) is a key component of technology vendor contracts that describes the terms of service between a service provider and a customer....

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