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IT leaders’ AI talent needs hinge on reskilling

CIO

CIOs and HR managers are changing their equations on hiring and training, with a bigger focus on reskilling current employees to make good on the promise of AI technologies. As a result, organizations such as TE Connectivity are launching internal training programs to reskill IT and other employees about AI.

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Microsoft’s latest OpenAI investment opens way to new enterprise services

CIO

OpenAI has landed billions of dollars more funding from Microsoft to continue its development of generative artificial intelligence tools such as Dall-E 2 and ChatGPT. In 2020, Microsoft became the first to license OpenAI’s Generative Pre-trained Transformer (GPT) AI software for inclusion in its own products and services.

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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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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.” CIOs must up their talent game across the board, including talent management, engagement, training, and retention, in addition to hiring.

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Buying advice for CIOs as low-code/no-code spending rises

CIO

Faced with a long-running shortage of experienced professional developers, enterprise IT leaders have been exploring fresh ways of unlocking software development talent by training up non-IT staff and deploying tools that enable even business users to build or customize applications to suit their needs. What’s expensive is scale.”

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Cybersecurity Snapshot: As ChatGPT Fire Rages, NIST Issues AI Security Guidance

Tenable

1 - Amid ChatGPT furor, U.S. With its new “Artificial Intelligence Risk Management Framework,” NIST hopes to create awareness about AI products’ unique risks, such as their vulnerability to be unduly influenced and manipulated through tampering with the data their algorithms are trained on. And much more!

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AI, Cybersecurity and the Rise of Large Language Models

Palo Alto Networks

LLMs, like OpenAI ChatGPT or Google Bard, use deep learning and extensive training on text data to excel in tasks, such as translation, content creation and question answering. Kaplanski and Rosen emphasized the importance of large-scale, accurate and contextually relevant data for training and refining AI models.