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OpenAI to Join the Open-Source Race with Public Release of AI Model

Analytics Vidhya

In the world of artificial intelligence (AI), open-source models have been slowly but surely gaining ground. In response to this growing competition, OpenAI is reportedly preparing to release an open-source AI model to the public.

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Where’s the ROAI?

CIO Business Intelligence

As the world becomes increasingly reliant on technology and driven by data, the excitement about artificial intelligence (AI) solutions continues to skyrocket. Corporate boardrooms are abuzz with discussions about exploring the possibilities of AI, and massive amounts of capital are being funneled into building AI infrastructure.

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Build trust to win out with genAI

CIO Business Intelligence

Over the past 12 months, generative AI has generated fervor and fear in almost equal measure. There are very real opportunities to innovate using generative AI, but there are equally many consumers who are uncomfortable with the technology. This presents a conundrum for many of today’s business leaders.

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Responsible AI on the Ground

Dataiku

It’s easy to talk about data ethics in science-fiction hypotheticals.

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Google integrates Gemini AI into enterprise tools

CIO Business Intelligence

Tech major Google has announced that it is replacing Duet AI for Google Workspace with Gemini for Google Workspace as it attempts to offer an alternative to ChatGPT Enterprise. Duet AI for Workspace offered AI integration with Google’s popular applications like Docs and Gmail.

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Innovating Services for a Digital, Intelligent Future

CIO Business Intelligence

At the same time, Artificial Intelligence (AI) is quickly becoming recognised as a keystone for future growth. Foundry’s 2024 CIO Tech Priorities study found 70% of organizations are actively researching or piloting AI-enabled technologies, while 21% have it already in use or are even upgrading and refining their models.

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8 questions CIOs should ask to prime their business for gen AI

CIO Business Intelligence

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. Yet leaders struggle to take the necessary next steps to get the technology off the ground. Critical to getting this right is understanding and linking gen AI and innovation to enterprise success.