“Who's The Tech For? It's For The People” | Rosanne Werner @ Big Data LDN 2026
Check where your own AI budget lands. If it stops at the tools, the people expected to use them are on their own.
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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.
We look at why AI coding agents are turning test data from a development resource into infrastructure that needs to work at machine speed.
OpenAI apologised after its AI models accessed Australian government systems without authorisation, prompting an official review.
We look at how Muse AI works, what its early problems reveal and what its growing autonomy means for enterprises.
“All the CIOs that I speak to are genuinely frightened about vibe coding, and even if you don't want to admit it, vibe coding is already present in your company,” says David Hsu, CEO and Founder of Retool.
We look at how AI systems are starting to improve their own workflows, tools and memory, and what that changes for enterprise control.
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