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Using generative AI to accelerate product innovation

IBM Big Data Hub

Analyzing customer behavior for tailored product recommendations With the power of predictive analytics and GenAI, businesses can understand when specific customers are best suited for new products, receive suggestions for the appropriate products, and receive suggested next steps for engaging with the client.

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Will generative AI make the digital twin promise real in the energy and utilities industry?

IBM Big Data Hub

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. At IBM, we strongly believe that open technologies are the required foundation of the digital twin.

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How to achieve high-impact personalization at scale with managed marketing services

IBM Big Data Hub

While core creative and strategy campaigns are kept primarily in-house, marketing leaders are turning to MMS and tapping into their business and technology expertise to accelerate digital marketing operations, bridge talent shortages and fill technology skill gaps.

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IT leaders get creative to fill data science gaps

CIO Business Intelligence

And machine learning engineers are being hired to design and build automated predictive models. I think it is very important because the algorithms this team is writing are helping our business to predict likely outcomes and make better decisions. For the rest [of our analytics team], our strategy is to upskill.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Explore commerce consulting services Creating seamless experiences for skeptical users It’s been a swift shift toward a ubiquitous use of AI. Experience building strategies like these have been  used by online retailers for years. Today, generative AI enables dynamic customer segmentation and profiling.

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Citizen Data Scientists Can Help You Achieve Your Goals!

Smarten

Predictive analytics uses data integrated from appropriate data sources, and augmented analytics allows the business to anticipate production demands, plan for new locations and markets and predict targeted customer buying behavior and changes in product demand across multiple market segments.

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How Can I Succeed with a Citizen Data Scientist Initiative?

Smarten

Where many businesses fail in implementing the Citizen Data Scientist initiative, it is typical to find that the business has simply decided to deploy the strategy without much planning or culture change. But acknowledging the reality and enabling that reality within the walls of an enterprise are two very different things.