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Top Enterprise Technology Stories
The best articles from Foundryâs B2B publications
January 10, 2025
Worst leadership advice youâve ever received
IT leaders share bad advice they were given early in their leadership careers â and what they ultimately learned from it.
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How AI will shape work in 2025 â and what companies should do now
Generative AI projects will move from pilot phase to production for many companies this year, which means the workforce will be affected in ways never before imagined, says Sarah Hoffman, director of AI research at AlphaSense.
Cloud providers are running out of ânext big thingsâ
As cloud computing providers hit the innovation wall, enterprises need to adjust their strategies to concentrate on the tricky problems of their own businesses.
Chief data officers step into the business strategist spotlight
The CDO role is quickly evolving as companies seek to capitalize on AI and data literacy. Seven data chiefs shed light on their agendas and lend advice on succeeding in this increasingly prominent position.
DNA sequencer vulnerabilities signal firmware issues across medical device industry
Eclypsium security researchers have uncovered UEFI vulnerabilities in the Illumina iSeq 100 DNA sequencer, but the broader issue involves the device development process at large.
AWS to invest $11 billion in Georgia to expand infra for gen AI
The new data centers are likely to be used to train AI models and deploy AI and cloud-based applications.
Google faces privacy lawsuit as judge highlights data governance concerns
The legal battle could have far-reaching implications for enterprise data governance, particularly how companies handle user consent and transparency.
SOAR buyerâs guide: 11 security orchestration, automation, and response products â and how to choose
While the category is aging, the need for better automation and leveraging AI is still very much needed to defend the enterprise stack.
Someone needs to make AI easy
Is anyone building practical, reliable AI applications for workaday developers? Right now success in AI requires the skills of a tech alpha who enjoys tinkering with primitive tools.
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