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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

In 2022, companies had an average of 3.8 Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. Ensure data privacy and security: AI models use mountains of data. AI models in production.

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Watsonx: a game changer for embedding generative AI into commercial solutions

IBM Journey to AI blog

This week, the CEO of WellnessWits, an IBM Business Partner, announced they embed watsonx in their app to help patients ask questions about chronic disease and more easily schedule appointments with physicians. The most common use cases from partners often combine several of these AI tasks.

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Microsoft Unveils Groundbreaking €4 Billion AI Investment in France

Unite.AI

During the prestigious Choose France summit, the company unveiled a sweeping €4 billion investment package designed to propel France to the forefront of the AI revolution. Cloud and AI Infrastructure Investment At the heart of this investment lies Microsoft's commitment to expanding its cutting-edge Cloud and AI infrastructure within France.

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Databricks claims DBRX sets ‘a new standard’ for open-source LLMs

AI News

The company says the 132 billion parameter DBRX model surpasses popular open-source LLMs like LLaMA 2 70B, Mixtral, and Grok-1 across language understanding, programming, and maths tasks. DBRX was pretrained on a massive 12 trillion tokens of “carefully curated” text and code data selected to improve quality.

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How AI Is Being Used to Solve the Mental Health Crisis

Unite.AI

Therefore, to properly address rising mental health needs in every community, public agencies (specifically, health departments, school systems, jails/prisons, and even the military) are beginning to partner with private digital behavioral health companies to expand much-needed access to support services.

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3 myths hindering your business from adopting generative AI 

IBM Journey to AI blog

It offers ease of integration and scalability for analytics and AI workloads using your company’s data, and offers guardrails for ensuring governance, security and compliance. So, why do millions of small enterprises believe that impactful AI is only accessible to big companies with deep pockets?

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Journey to AI blog

As data use and processing activities increase, so too will global emissions. IBM’s concrete actions to support AI sustainability AI creation requires vast amounts of energy and data. of IBM’s total electricity consumption came from renewable sources, including 74% of the electricity that IBM data centers consumed.

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