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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. That shift is in no small part due to an AI talent market increasingly stacked against them.

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

CIO

As a licensee of OpenAI’s software it will have access to new AI-based capabilities it can resell or build into its products. As OpenAI’s exclusive cloud provider it will see additional revenue for its Azure services, as one of OpenAI’s biggest costs is providing the computing capacity to train and run its AI models.

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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.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning - AI

Overall, $384 billion is projected as the cost of pharmacovigilance activities to the overall healthcare industry by 2022. In this solution, we fine-tune a variety of models on Hugging Face that were pre-trained on medical data and use the BioBERT model, which was pre-trained on the Pubmed dataset and performs the best out of those tried.

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Cybersecurity Snapshot: Cyber Agencies Offer Secure AI Tips, while Stanford Issues In-Depth AI Trends Analysis, Including of AI Security

Tenable

Check out the AI security recommendations jointly published this week by cybersecurity agencies from the Five Eyes countries: Australia, Canada, New Zealand, the U.K. Deploying AI systems securely requires careful setup and configuration that depends on the complexity of the AI system, the resources required (e.g., and the U.S.

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From Hype to Hope: Key Lessons on AI in Security, Innersource, and the Evolving Threat Landscape

Coveros

However, social engineering is a common tactic, so it is advisable to continuously improve security awareness and education in an effort to decrease the effectiveness of social engineering attacks. 2023 saw twice as many software supply chain attacks as 2019-2022 combined. 300+ AI-powered GitHub Actions in the marketplace.