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Articles
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6 days ago |
vktr.com | Phil Britt
The AI accountability gap is widening. Here's how enterprises are stepping in as lawmakers struggle to keep pace. Organizations are rapidly advancing AI initiatives and maturing their AI governance due to concerns about accountability and the risk of regulation if industry governance is found wanting. The issue, according to the Carnegie Council, is that AI systems are often criticized for being a "black box," meaning how an output is achieved cannot be fully explained or interpreted by its users.
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1 week ago |
vktr.com | David Barry
IBM's new mainframe, IBM z17, was built specifically for the AI era to offer generative AI on-premises. Here's why experts see it as part of a larger trend. Earlier this month IBM introduced the IBM z17, a next-generation mainframe powered by the IBM Telum II processor to act as an "AI accelerator." The z17 processes over 450 billion AI inferences a day — a 50% increase over its predecessor, z16 — with a response time of one millisecond.
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1 week ago |
vktr.com | Virginia Backaitis
The latest wave of AI can do things we couldn't have imagined even five years ago. But not all AI is the same — some tips to tell the fakes from the real deal. If it sounds too good to be true, it probably is. The old saying rings true in most cases, yet when it comes to AI solutions, all bets are off. After all, the latest generation of LLM technology can do things we wouldn't have imagined five years ago.
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1 week ago |
vktr.com | Scott Clark
Smarter bots are easing workloads—but humans remain essential for complex queries. 24/7 support is no longer optional. AI chatbots offer instant assistance around the clock, meeting customer demands without increasing human workload. Automation meets personalization. Today’s chatbots use AI, ML, and NLP to personalize responses, resolve issues quickly, and escalate complex cases to humans when needed. Human trust still matters.
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1 week ago |
vktr.com | David Barry
AI effectiveness depends on integration with business systems. But the more embedded AI becomes, the more it exposes an organization to potential problems. As companies rush to integrate AI for greater efficiency, they're unknowingly building new vulnerabilities into their operations. AI is now embedded across HR, finance, supply chains and customer service, promising automation and smarter decision-making.
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