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California Seeks to Regulation Employer Use of AI

Hunton Privacy

AB 2930 seeks to regulate use of artificial intelligence (“AI”) in various industries to combat “algorithmic discrimination.” AB 2930 aims to prevent algorithmic discrimination through impact assessments, notice requirements, governance programs, policy disclosure requirements and providing for civil liability.

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IBM Consulting unveils Center of Excellence for generative AI

IBM Big Data Hub

IDC 1 estimates the AI Services market will grow from approximately $36 billion USD in 2023 to approximately $65 billion USD in 2026. Generative AI has progressed quickly beyond experimentation; businesses are embracing it to improve customer service, seize new market opportunities and more.

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Judicial systems are turning to AI to help manage its vast quantities of data and expedite case resolution

IBM Big Data Hub

Efforts to further expand the use of emerging technologies to address this ongoing need put responsible artificial intelligence (AI) at the center of possible solutions. As such, the judiciary has long been a field ripe for the use of technologies like automation to support the processing of documents.

IT 86
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2024 Tech and Cybersecurity Forecast: Navigating New Frontiers in Business

Thales Cloud Protection & Licensing

Taking AI to the Edge In 2024, the trend in artificial intelligence is shifting toward deploying AI at the network edge, particularly for enterprise applications. It necessitates the development of new models for governance, management, and security.

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IBM watsonx AI and data platform, security solutions and consulting services for generative AI to be showcased at AWS re:Invent

IBM Big Data Hub

According to a Gartner® report , “By 2026, more than 80% of enterprises will have used generative AI APIs or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.”*

Cloud 75
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Achieve your AI goals with an open data lakehouse approach

IBM Big Data Hub

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. The first step for successful AI is access to trusted, governed data to fuel and scale the AI. from 2022 to 2026.

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Big Data Hub

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.