12 AI predictions for 2025
This year we’ve seen AI move from pilots into production use cases. In 2025, they’ll expand into fully-scaled, enterprise-wide deployments.
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AI
Google claims breakthrough with Willow quantum computing chip but no real-world use yet
Google’s breakthrough in speed and error correction with its new quantum chip, while not immediately useful for most businesses, accelerates the timeline for quantum-safe security preparation and signals a critical moment for technology leaders to begin strategic planning for the quantum era.
Google claims breakthrough with Willow quantum computing chip but no real-world use yet Read More »
Cost, security, and flexibility: the business case for open source gen AI
Commercial generative AI platforms like OpenAI and Anthropic get all the attention, but open source alternatives can offer cost benefits, security, and flexibility.
Cost, security, and flexibility: the business case for open source gen AI Read More »
10 most critical LLM vulnerabilities
Prompt injection and supply chain vulnerabilities remain the main LLM vulnerabilities but as the technology evolves new risks come to light including system prompt leakage and misinformation.
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7 ways gen AI can create more work than it saves
As gen AI use continues to skyrocket, reports of business benefits are trickling in. But we’re also seeing more cases where the tech can actually create more work than it saves.
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10 ways hackers will use machine learning to launch attacks
AI and machine learning are improving cybersecurity, helping human analysts triage threats and close vulnerabilities quicker. But they are also helping threat actors launch bigger, more complex attacks.
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As AI scales, infrastructure challenges emerge
Early adopters of gen AI typically used ChatGPT, Microsoft Copilot, and similar SaaS tools that cost money but didn’t create infrastructure challenges. As companies scale up, however, those challenges are beginning to emerge.
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11 key roles for AI success
To maximize the business value of artificial intelligence, AI teams require a diverse range of skills and roles, from data scientists and domain experts, to strategic decision-makers.
11 key roles for AI success Read More »
10 most critical LLM vulnerabilities
From prompt injections to model theft, OWASP has identified the most prevalent and impactful vulnerabilities found in AI applications based on large language models (LLMs).
10 most critical LLM vulnerabilities Read More »
Cloudera jockeys for AI platform prominence
Cloudera is using partnerships and acquisitions in its bid to become the platform of choice for data, analytics, and enterprise AI .
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Weighing the risks of moving too fast with gen AI
Jumping on the gen AI bandwagon can backfire, but moving too slow isn’t wise either. Finding the optimum pace relies on a host of factors, starting with a healthy appetite for risk.
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23 key gen AI terms and what they really mean
From agentic systems to zero-shot prompting, generative AI can feel like a new language. Here are the terms CIOs need to know.
23 key gen AI terms and what they really mean Read More »
Red Hat delivers AI-optimized Linux platform
Red Hat Enterprise Linux AI is aimed at making it easier and cheaper for enterprises to deploy generative AI technologies with open-source tools sets and models.
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Can the CIO role prevail over AI?
Lower-level IT jobs are expected to be the most impacted, or replaced altogether, by AI, but even senior level jobs aren’t immune. CIOs should be worried.
Can the CIO role prevail over AI? Read More »
Broadcom’s vision for VMware highlights private clouds, private AI
This week’s VMware Explore conference was all about AI, along with an unexpected focus on private clouds.
Broadcom’s vision for VMware highlights private clouds, private AI Read More »