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10 most difficult-to-fill IT roles β€” and how to address the gap

CIO

But, notes Lobo, β€œin all geographies, finding well-rounded leadership and experienced technical talent in areas such as legacy technologies, cybersecurity, and data science remains a challenge.” CIOs must up their talent game across the board, including talent management, engagement, training, and retention, in addition to hiring.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

What operational and technical best practices can I integrate into how my organization builds generative AI LLM applications to manage risk and increase confidence in generative AI applications using LLMs?

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Technology Trends for 2024

O'Reilly Media - Ideas

That may or may not be advisable for career development, but it’s a reality that businesses built on training and learning have to acknowledge. Boot camps and other crash programs often train students in β€œReact,” with little attention on the bigger picture. So what does all this tell us about training and skill development?

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?