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AI in the Enterprise
News, analysis, and insights for IT leaders navigating the risks and rewards of AI
April 22, 2024
10 famous AI disasters
Insights from data and machine learning algorithms can be invaluable, but mistakes can be irreversible. These recent high-profile AI blunders illustrate what can go wrong. Read more
Generative AI gold rush drives IT spending â with payoff in question
Worldwide IT spending should grow by 8% this year, with AI hype and COVID-era device replacements helping to push the spending numbers up, Gartner predicts. Read more
CIOs not entirely sold on generative AI copilots
Microsoft and other vendors are touting the productivity gains their enterprise AI assistants can help achieve. Not all IT leaders are convinced the return on investment is there yet. Read more
Slack AI now available to all paid users
Slackâs generative AI add-on offers access to features including enhanced search, channel recaps, and a âdaily digest.â Read more
Will enterprises soon keep their best gen AI use cases under wraps?
While organizations from virtually every industry have publicly disclosed the ways they use generative AI to produce measurable benefits, they might not be so forthcoming in the future. Read more
OpenAI's Assistants API gets a boost
The OpenAI Assistants API, used to build AI assistants, has been updated with faster and expanded file search, vector stores, and a new tool choice parameter. Read more
Anthropicâs latest version of Claude comes to Amazon Bedrock
Amazon continues to keep the latest Anthropic generative AI models in its cloud. Read more
AMDâs new mobile and desktop chips push hard into AI
The chipmaker has become the latest to jump into the burgeoning AI PC market. Read more
Adobe Premiere Pro to get Firefly genAI video features
Editors will be able to modify or remove objects from film footage and extend scenes using Adobeâs Firefly video AI model; Adobe also plans to support OpenAIâs Sora. Read more
Meta eyes LLM dominance with new Llama 3 models
The new generation of models is expected to take on all large language models, including the likes of GPT-3.5, Claude Sonnet, Mistal models, and Grok. Read more
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