Remove data-governance-for-real-time-data-streams
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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

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Balancing latency and sustainability

CIO

To get the compute resources they need while also optimizing energy efficiency, some enterprises—and the service providers they partner with—look to position data centers in colder environments, far away from major population centers. To do this, they must strategize for sustainability globally while designing and building locally.

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IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka

Cloudera

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

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Incremental Strategies to Move Your Data Strategy Forward Remove Obstacles to Unlock Possibilities in Financial Services

Cloudera

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. For example, providers can start by including more real-time data streams that can enhance customer interactions.

Strategy 101
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What is Streaming Analytics?

Cloudera

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases.

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Cloudera named a Strong Performer in The Forrester Wave™: Streaming Analytics, Q2 2021

Cloudera

Cloudera has been named as a Strong Performer in the Forrester Wave for Streaming Analytics, Q2 2021. We are proud to have been named as one of “ The 14 providers that matter most ” in streaming analytics. And we have been saying the exact same thing all along – Data decays! It’s too late.

Analytics 100
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Inference Llama 2 models with real-time response streaming using Amazon SageMaker

AWS Machine Learning - AI

With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency with higher throughput. Foundation models (FMs) are often pre-trained on vast corpora of data with parameters ranging in scale of millions to billions and beyond.