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6 cloud market forces impacting IT strategies today

CIO Business Intelligence

With the cloud being an inevitable part of enterprise digital transformation journeys, IT leaders must keep on top of the latest developments in the cloud market to better predict downstream impacts on their roadmaps. Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of.

Marketing 127
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Generative AI in the Enterprise

O'Reilly on Data

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI.

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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. The company also announced the launch of two plans, Gemini Business, and Gemini Enterprise, to help businesses of all sizes leverage AI for growth.

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2024 Market Agenda for Artificial Intelligence: Improving Productivity and Experiences

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2024 Market Agenda for Artificial Intelligence , continuing the guidance we have offered for two decades to help enterprises derive optimal value from technology and improve business outcomes.

Marketing 130
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Addressing Top Enterprise Challenges in Generative AI with DataRobot

Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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Scaling generative AI with flexible model choices

IBM Big Data Hub

This blog series demystifies enterprise generative AI (gen AI) for business and technology leaders. In the previous blog , we discussed the differentiated approach by IBM to delivering enterprise-grade models. Why are model choices important? Various model choices allow businesses to pivot quickly and effectively.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Streamline workflows with personalized content creation, tailored product descriptions and market-ready copy. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Autoregressive models or large language models (LLMs) are used for text and language.