Remove Data Lake Remove Digital Transformation Remove Interactive Remove Metadata
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6 BI challenges IT teams must address

CIO Business Intelligence

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. But what they really need to do is fundamentally rethink how data is managed and accessed,” he says.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases. offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting.

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Turning Streams Into Data Products

Cloudera

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Convergence of batch and streaming made easy.

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PODCAST: Making AI Real – Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities

bridgei2i

In other words, we form the tech backbone of data and analytics platforms for our clients who are at different stages of their digital transformation journey. Now, I think it has forced a lot of enterprises to fasten their digital transformation journeys so that we’re better equipped to kind of respond.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

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Lay the groundwork now for advanced analytics and AI

CIO Business Intelligence

In the past, First Service Credit Union’s Chief data officer Ty Robbins struggled to integrate data from the legacy, non-relational, and often proprietary tabular databases on which many credit unions run. After moving its expensive, on-premise data lake to the cloud, Comcast created a three-tiered architecture.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.