AI Is Large-Scale Mathematics | Andy Bell, Precisely @BDL
“AI is essentially large-scale mathematics. It can understand and learn to improve the data.”
Dr. Joe Perez is a powerhouse in the IT and education worlds, with 40-plus years’ experience and a wealth of credentials to his name. From Business Intelligence Specialist at NC State University to Senior Systems Specialist/Team Leader at the NC Department of Health & Human Services (and Chief Technology Officer at CogniMind), Perez is at the forefront of innovation and process improvement. With more than 22,000 LinkedIn followers and a worldwide reputation as keynote speaker, data management/analytics expert, and prolific, bestselling author, Perez is a highly sought-after resource in his field. He speaks at many conferences each year, reaching audiences in over 20 countries across the globe and has been highly-ranked by prestigious Thought Leader communities. He was recently inducted into both the IIBA Hall of Fame and the United Nations Global Network of Data Officers and Statisticians and was selected to be a Distinguished Fellow in the Public Sector Network's Future Government Institute. When Dr. Joe is not working, he shares his musical talents and gives back to his community through his involvement in his church's Spanish and military ministries.
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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.
Discover how fake accounts impact businesses, from fraud and promotion abuse to inaccurate data, customer trust and increased operational costs.
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.”
This type of information can help organisations move beyond basic demographic targeting. Instead of simply knowing where an audience lives or how old it is, businesses can investigate interests, motivations, behaviours, and changing expectations.
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.
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