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Don’t Get Left Behind in the AI Race: Your Easy Starting Point is Here

Cloudera

Now that the industry has advanced into Large Language Models and more intelligent forms of modeling, LLM Ops, fine tuning, and serving capabilities, Cloudera has seamlessly evolved alongside this expanding ecosystem. ” said Sanjeev Mohan, Principal, SanjMo & Former Gartner Research VP, Data & Analytics.

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Cloudera Customer Story

Cloudera

He is responsible for introducing common tools and processes and enhancing the technology, tools and data available to employees, empowering them to use their expertise and creativity in innovative ways. LGIM’s data ecosystem had become fragmented over time as it had grown.

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Modernizing child support enforcement with IBM and AWS

IBM Big Data Hub

Empower caseworkers with online tools to collaborate with colleagues and access knowledge repositories. More than 20% of families and children are supported by these systems, and with the current constituents of these systems becoming more consumer technology-centric, the use of antiquated technology systems is archaic and unsustainable.

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Fertility care provider Ovum Health gives patients information using chat and scheduling tools with IBM watsonx Assistant

IBM Big Data Hub

She founded MedAnswers and its telemedicine spinout, Ovum Health , with the hopes of providing increased access to family-building solutions like pre-pregnancy, prenatal and postnatal healthcare. IBM helped Ovum embed watsonx Assistant in their website and mobile application, called FertilityAnswers Bot.

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5 recommendations to get your data strategy right

IBM Big Data Hub

The amazing evolution of technology, cloud and analytics—and what it means for data use — changes quickly, which makes it easy to fall behind if your data strategy and related processes aren’t frequently revisited. The rise of data strategy. The evolution of a multi-everything landscape, and what that means for data strategy.

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Successfully conduct a proof of concept in Amazon Redshift

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

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Apache Kafka and Apache Flink: An open-source match made in heaven

IBM Big Data Hub

As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making. Apache Kafka and Apache Flink working together Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming.