AI Large-Scale Mathematics | Andy Bell, Precisely @BDL
“AI is essentially large-scale mathematics. It can understand and learn to improve the data.”
What happens when customer service becomes increasingly autonomous? Pranay Jain joins Christina Stathopoulos to explore where AI can improve the customer journey.
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“AI is essentially large-scale mathematics. It can understand and learn to improve the data.”
What happens when you put a few tech & big data enthusiasts together and ask them what they’re reading?
“We need a deterministic harness to go around our non-deterministic LLMs to deliver you consistent results, accurate results, timely results and complete understanding of how your business works.”
We explain why rising AI rack density is pushing data centres towards 800 VDC power and what the shift means for infrastructure teams.
Is "artificial intelligence" the next term due for retirement? Dr. Joe Perez thinks it might be.
Check where your own AI budget lands. If it stops at the tools, the people expected to use them are on their own.
George Firican wants governed context to stick around. He expects it to be rebranded anyway.
“The vast majority of data in enterprises is unstructured. We can use it for AI use cases. It has the biggest potential.”
We announce the Q3 2026 EM360Tech Quarterly Impact Index nominees and open voting across four categories of enterprise thought leadership impact.
We report on Google’s Gemini 4 Argon announcement, its restricted cybersecurity rollout and when wider access could begin.
We explain how Jev AI makes structured decisions, how it differs from an LLM and where decision models could fit into enterprise AI.
“CEOs are consolidating their spend for a more modern tech stack, which would allow them to see, read and have their data communicate back and forth more effectively.”
“There’s only one stack with data as the foundation, and AI is on top of it.”
Gen AI, agentic AI, contextual AI. Scott Taylor thinks the names won't survive the next 12 months.
We look at why legitimate RMM software can become attacker infrastructure and how security teams can tell authorised administration from malicious activity.
Everybody wants to talk about AI agents. Christina Stathopoulos wants to talk about your data.
Most companies today are automating individual processes, but not joining them up across core operations.
“There’s only one stack with data as the foundation, and AI is on top of it.”
Reach Security looks at how configuration drift can leave security controls exposed for longer as AI helps attackers find and exploit weaknesses faster.
An AI agent hit a blocked path and found its own way around it- the incident that struck Hugging Face. Chenxi Wang of Rain Capital tells The Security Strategist Podcast why that logic makes self-improving AI hard to govern by approval alone.
The agreement was reached at a White House lunch on Tuesday. AI companies also committed to meeting regularly to set industry best practices.
If enterprises see their token costs go way above range, they need to evaluate the use of some of the AI models deployed.
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