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News, analysis, and insights for IT leaders navigating the risks and rewards of AI.

AI in the Enterprise

February 13, 2024

5 ways CIOs can help gen AI achieve its lightbulb moment

Despite the current level of hype and mainstream adoption, gen AI still needs to experience the trough of disillusionment before embarking on a path to peak productivity.

Image: How to use the new genAI template tool in Google Sheets

How to use the new genAI template tool in Google Sheets

Help Me Organize, a generative AI tool in Google Sheets, can whip up templates for project schedules, budgets, charts, and more. Learn how to use it and write effective prompts for best results.

Startups pursue GPU alternatives for AI

The GPU is the mainstay of AI processing, but several companies think they have a better option.

Google throws down the gauntlet with Gemini — its multimodal genAI engine

Google has introduced the market's first native multimodal generative AI model capable of ingesting and providing content based on text, audio, images, and video.

Image: AI-enabled PCs and genAI smartphones set to take off

AI-enabled PCs and genAI smartphones set to take off

As hardware manufacturers move to take advantage of new genAI apps on their devices, PCs and smartphones will become home to processing, taking over for the cloud for several key reasons, analysts say.

How AI is helping the NFL improve player safety

The NFL’s Digital Athlete platform, built with partner AWS, uses computer vision and machine learning for predictive analytics to identify plays and body positions most likely to lead to player injury.

Meta to label AI-generated images from Google, OpenAI and Adobe

Meta has also added a feature for people to disclose when they share AI-generated video or audio and failing to do so would attract penalties, the company said.

Group-IB bets on AI to improve threat intelligence and incident response

AI will be is used for behavioral fraud categorization and turning known schemes into actionable anti-fraud strategies.

Retrieval-augmented generation, step by step

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain.

Sam Altman wants to raise trillions of dollars for AI chip initiative

Altman looks to disrupt the AI chip segment by boosting the global chip-building capability.

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