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Introducing the technology behind watsonx.ai, IBM’s AI and data platform for enterprise

IBM Big Data Hub

Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. Building a model requires specialized, hard-to-find skills — and each new task requires repeating the process. ” These large models have lowered the cost and labor involved in automation.

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How to become an AI+ enterprise

IBM Big Data Hub

Figure 2: ROI potential by transforming into an AI+ enterprise Organizations with high data maturity that embed an AI+ transformation model into the enterprise fabric and culture can generate up to 2.6 Consider the following: Do you need a public foundation model? Should you build your own? times higher ROI.

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Ultimate List of CFO Blogs and Resources – 2023 Edition

Jet Global

But does this mean your journey ends there? There are always new things to be learning and experiences to help you guide your company through the waves of the business cycle. We have compiled a list of resources to help you on your journey as a CFO. As such, it should come as no surprise that they have a blog tailored to CFOs.

KPI 105
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Watsonx: a game changer for embedding generative AI into commercial solutions

IBM Big Data Hub

offers intuitive tooling for powerful foundation models; watsonx.data enables compute-efficient, scalable workloads wherever data resides; and the third component, watsonx.governance , provides guardrails essential to responsible implementation. ISVs need the flexibility to choose models appropriate to their industry, domain and use case.

Sales 93
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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

Today’s foundational models are jacks-of-all-trades. With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” It doesn’t matter how accurate an AI model is, or how much benefit it’ll bring to a company if the intended users refuse to have anything to do with it.

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An AI Chat Bot Wrote This Blog Post …

DataKitchen

It involves bringing together people, processes, and technology to enable data-driven decision making and improve the efficiency of data-related workflows. This can include the use of tools for data preparation, model training, and deployment, as well as technologies for monitoring and managing data-related systems and processes.

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Mainframe and the cloud? It’s easy with open source

IBM Big Data Hub

Developers require hands-on interaction with the tools they use—a deep relationship that makes the technology their own, even as they work in the cloud. With Wazi, developers can quickly spin up a z/OS dev and test system or create their own custom image from on-premises mainframe LPARs (logical partitions). Open-source software.

Software 128