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CIOs confront generative AI’s workplace X factor

CIO

In the rush to establish technical strategies for making good on the promise of generative AI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generative AI.

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Why generic marketing approaches don’t work on software developers

TechCrunch

“Most of the technical content published misses the mark with developers. When we interviewed him last July , Hughes explained that he would refer leads to EveryDeveloper when they needed to sort out their content strategy. The book title is a call to these marketers to treat their technical audience differently.

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10 most difficult-to-fill IT roles — and how to address the gap

CIO

But, notes Lobo, “in all geographies, finding well-rounded leadership and experienced technical talent in areas such as legacy technologies, cybersecurity, and data science remains a challenge.” S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

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

AWS Machine Learning - AI

This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs. 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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To Master Master Data Management, Master these Five Enemies

TIBCO - Connected Intelligence

The same is true when implementing Master Data Management (MDM). Sun Tzu would advise you to build a plan to defeat these enemies so you can realize MDM’s business value and benefits at your organization. Underestimating data engineering workloads . Insufficient business engagement . Failure here is not an option.

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Rethinking the IT talent pipeline

CIO

Amanda Merola had zero technical background when she came to The Hartford in 2015, despite a natural interest in computers and a proclivity for problem-solving. You used to be able to buy people or rely on the education system to pull people through so there was a ready supply of trained technical people.

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How to Hire AI Developers?

Existek

Monitoring and maintenance: After deployment, AI software developers monitor the performance of the AI system, address arising issues, and update the model as needed to adapt to changing data distributions or business requirements. Finding AI specialists for the project can be a challenging but crucial task. HOW MUCH DO AI DEVELOPERS MAKE?