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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 Journey to AI blog

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.”* For more information about the IBM and AWS partnership, please visit www.ibm.com/aws. All rights reserved.

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Platform Engineering: Streamlining Modern Software Development

Unite.AI

According to a research by Gartner , “ 45% of large software engineering organizations were already utilizing platform engineering platforms in 2022, and the number is expected to rise by 80% by 2026.”. This article will explain platform engineering and its benefits and see how it boosts the entire software development cycle.

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Achieve your AI goals with an open data lakehouse approach

IBM Journey to AI blog

Why does AI need an open data lakehouse architecture? Consider this, a forecast by IDC shows that global spending on AI will surpass $300 billion in 2026, resulting in a compound annual growth rate (CAGR) of 26.5% from 2022 to 2026.

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

IBM Journey to AI blog

Watsonx.data will be core to IBM’s new AI and Data platform, IBM watsonx, announced today at IBM Think. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] What is watsonx.data?

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses.

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