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

IBM Journey to AI blog

I’ll also outline our new platform and tooling that enables enterprises to build and deploy foundation model-based solutions using a wide catalog of open-source models, in addition to our own. Data: the foundation of your foundation model Data quality matters. Learn more about watsonx.ai

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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

While traditional PIM systems are effective for centralizing and managing product information, many solutions struggle to support complex omnichannel strategies, dynamic data, and integrations with other eCommerce or data platforms, meaning that the PIM just becomes another data silo.

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Noah Nasser, CEO of datma – Interview Series

Unite.AI

Noah Nasser is the CEO of datma (formerly Omics Data Automation), a leading provider of federated Real-World Data platforms and related tools for analysis and visualization. Can you explain how datma.FED utilizes AI to revolutionize healthcare data sharing and analysis? Cell-size restrictions prevent re-identification.

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The Sequence Pulse: The Architecture Powering Data Drift Detection at Uber

TheSequence

Like any large tech company, data is the backbone of the Uber platform. Not surprisingly, data quality and drifting is incredibly important. Many data drift error translates into poor performance of ML models which are not detected until the models have ran.

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Popular Data Transformation Tools: Importance and Best Practices

Pickl AI

Summary: Data transformation tools streamline data processing by automating the conversion of raw data into usable formats. These tools enhance efficiency, improve data quality, and support Advanced Analytics like Machine Learning. Why Are Data Transformation Tools Important?

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Data Intelligence empowers informed decisions

Pickl AI

So, what is Data Intelligence with an example? For example, an e-commerce company uses Data Intelligence to analyze customer behavior on their website. Through advanced analytics and Machine Learning algorithms, they identify patterns such as popular products, peak shopping times, and customer preferences.

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What is Data-Centric Architecture in AI?

Pickl AI

In the world of artificial intelligence (AI), data plays a crucial role. It is the lifeblood that fuels AI algorithms and enables machines to learn and make intelligent decisions. And to effectively harness the power of data, organizations are adopting data-centric architectures in AI.