Recorded live at Big Data London 2026, the Don't Panic It's Just Data Podcast asks industry leaders what it takes for AI agents to understand what your data actually means.
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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A cyberattack on a refrigeration equipment supplier disrupted cold-storage systems at three French blood facilities, exposing the risks of third-party vulnerabilities in healthcare infrastructure.
As AI agents gain access to enterprise systems and sensitive data, poorly managed identities and permissions can create new security risks. Here are five threats organisations should address and how to reduce their exposure.
Following sweeping Democratic victories in the US midterm elections, technology stocks suffered sharp losses with investors assessing the potential impact of increased scrutiny on data centre development.
Recorded live at Big Data London with LakeFusion, the speakers break down everything you need to know about master data management (MDM) and why C-suites are paying attention to it in an age of agentic AI.
We look at who funds AI infrastructure, how financial risks are shared and what enterprises should check before buying capacity.
Voters rejected data centres at the ballot box in ten states, Democrats took control of Congress and Texas elected its first Democratic governor in more than 30 years. Here is what the 2026 US midterm elections mean for the AI infrastructure boom.
The Industrial Revolution shows that transformative technology requires more than adoption. As AI reshapes modern enterprises, businesses must rethink their workflows, workforce and infrastructure to realise its full potential.
We look at why technical performance isn’t enough to make technology fit for purpose as business needs change.
We report on the latest cyberattacks, rising software vulnerabilities and how companies are using AI to fight back.
Private cloud is worth choosing when a workload’s requirements justify the work that comes with it. Here is how to tell whether yours do.
We look at how law firm cyberattacks can put enterprise data at risk and what organisations can do to protect it.
OpenAI's CEO argues that scarce memory is better utilised in cloud data centres than in personal computers. But is centralised computing really more efficient, and what does this mean for the future of local AI?
A practical look at how enterprises can divide security operations between internal teams and external providers based on expertise, business context, coverage and operational requirements.
Binance said the attack began in June, when an employee on its wallet developer team downloaded a tampered tool from the internet.
We look at how AI-generated database queries are checked, where errors slip through and when humans need to step in.
Crogl runs every SOC workflow, from alert triage to threat hunting to advisory analysis, inside your own environment. The data never leaves. Your team focuses on decisions, not data gathering.
Sophisticated security teams are building their own AI SOC capabilities. 95% of AI projects fail because they are not anchored in business value.
Five questions that decide whether your team, or your team plus a partner, produces the better security outcome.
It's alleged that Nvidia asked global data centre partners to direct more computing services towards non-Chinese customers, potentially tightening access to advanced AI infrastructure.
We look at how enterprises can manage AI inference spending without interrupting essential business workflows.
We report on Binance's slowing withdrawals, recovery efforts and investor concerns following the $6.3 billion hack.
A practical guideline for measuring behavioural change, identifying persistent security risks and connecting employee actions to organisational resilience.
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