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Achieving cloud excellence and efficiency with cloud maturity models

IBM Journey to AI blog

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

DevOps 184
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10 Data Science blogs for beginners in 2024

Pickl AI

This article unveils the 10 best data analytics blogs , providing a wealth of knowledge and invaluable strategies to enhance the profile of aspiring Data Scientists. Their blog covers various aspects of data science, including tutorials, best practices, and real-world applications. URL: DataCamp Blog Pickl.AI URL: Pickl.AI

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Expanding on ethical considerations of foundation models

IBM Journey to AI blog

The rise of foundation models that power the growth of generative AI and other AI use cases offers exciting possibilities—yet it also raises new questions and concerns about their ethical design, development, deployment, and use. Emerging risks intrinsic to foundation models and their inherent generative capabilities.

AI Tools 171
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Integrating AI into Asset Performance Management: It’s all about the data

IBM Journey to AI blog

Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases. Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success.

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How the Masters uses watsonx to manage its AI lifecycle

IBM Journey to AI blog

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “For the Masters we use 290 traditional AI models to project where golf balls will land,” says Baughman. ” Watsonx.ai ” Watsonx.ai

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Enhancing data security and compliance in the XaaS Era 

IBM Journey to AI blog

With the rapid growth of XaaS consumption models and the integration of AI and data at the forefront of every business plan, we believe that protecting data security is pivotal to success. The ability to access and process the necessary data yields optimal results from AI models. Watch “What is XaaS?”

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Data is essential: Building an effective generative AI marketing strategy

IBM Journey to AI blog

With the right generative AI strategy, marketers can mitigate these concerns. If the training data is biased or incomplete, the models may generate inaccurate content. This might include a virtual model wearing outfits that match the customer’s body type, fashion choices and activities of interest.