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Generative AI use cases for the enterprise

IBM Big Data Hub

Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.

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The Third Modern Data Management Summit: Making Data Work!

Reltio

This year the event offered three tracks – Modern Data Management, Personalize Customer 360 , and Healthcare & Life Sciences. This year’s theme was “ Organize Master Data. Keynote sessions included: .

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

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Our Data Governance Is Broken. Let’s Reinvent It.

John Battelle's Searchblog

Most of my career has been spent evangelizing the power of technology to positively transform business, education, and politics. First, Data. Big data, data breaches, data mining, data science…Today, we’re all about the data. So what insures engagement and attention?

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The Customer Journey Digital Transformation Workbook

Bill Schmarzo - Dell EMC

Figure 1: “Driving Business Strategies with Data Science: Big Data MBA” Because in our evolving world, successful digital transformation will be the difference whether a business survives or wilts in the modern economy. Digital Transformation is becoming a business mandate.

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The Customer Journey Digital Transformation Workbook

Bill Schmarzo - Dell EMC

Figure 1: “Driving Business Strategies with Data Science: Big Data MBA” Because in our evolving world, successful digital transformation will be the difference whether a business survives or wilts in the modern economy. Digital Transformation is becoming a business mandate.