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.
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.
Discover expert led podcasts, articles, and news from enterprise technology leaders at EM360Tech, your source for B2B tech intelligence
Two analysts closed an alert as a false positive after two hours, while a Chinese APT group sat inside the network for weeks. Sekoia’s Georges Bossert tells Richard Stiennon why AI agents should investigate every alert, and what rules of engagement they need.
We look at when working technology stops being worth keeping and how businesses can decide to retain, improve or retire it.
Alphabet is planning its first bond sales in Hong Kong and Singapore dollars, aiming to raise about $3 billion
We explain what ethical AI means, how it affects people and the planet, and how organisations can use it responsibly.
We look at when combining analytics and operational workloads makes sense, when it doesn't and what to test first.
Training, simulation and real-world operation place different demands on AI infrastructure. Enterprises must rethink where computing happens as intelligent machines move into physical environments.
We look at 10 data conferences worth attending, what makes each one different and who'll benefit most from going.
Physical AI has a software-related accessibility problem, but a Silicon Valley-based, software AI company that makes its own silicon solved it by redesigning the tech stack and implementing skills with AI agent access.
Anthropic withdraws IPO details circulated to banks, including a proposed $69.3bn share sale and a reported $26bn private placement involving major technology companies.
We look at how AI is changing scientific research and whether faster work is leading to more valuable discoveries.
We report on Jensen Huang's affair admission, Nvidia's espionage investigation and the questions facing its CEO.
We look at why robots struggle when training environments aren't reset and what new research means for robot learning.
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.
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