Remove learn data-streaming
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Uniting the Machine Learning and Data Streaming Ecosystems - Part 1

Confluent

The future of data is real time and enriched by machine learning. How can we overcome socio-technical blockers and unite the ML and data streaming markets?

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Uniting the Machine Learning and Data Streaming Ecosystems - Part 2

Confluent

Machine learning and data streaming are a perfect match, but have diverging tech stacks. How can we overcome the pitfalls of SQL and the gulf between languages?

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Value Stream Management for digital transformation: A new maturity model

CIO

New research 1 underscores the common challenges many enterprises face in advancing their Value Stream Management (VSM) maturity levels for digital transformation, emphasizing the crucial need for effective guidance. Level 2: Value Stream Aware At this level, teams have started identifying and mapping their value streams.

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How Value Stream Management is fueling success at Boeing, Tyson, and Verizon

CIO

By employing Value Stream Management (VSM), executives gain the visibility to align teams, workflows, and investments around one key aspect: customer value. Value stream management lets people do the work they’re supposed to do instead of getting caught up in work about work.” What you see is maximizing the ROI.”

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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Machine learning model serving architectures

Xebia

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. For the sake of argumentation, we will assume the machine learning model is periodically trained on a finite set of historical data.

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Building a vision for real-time artificial intelligence

CIO

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

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7 Ways to Supercharge Your ABM Strategy with Real-Time Intent

Learn how capturing buyers’ search behavior in real time can shorten your sales cycle. In this guide, we’ll walk through how streaming real-time intent data can supercharge your ABM strategy, including: How streaming real-time intent works The benefits of real-time intent in your ABM strategy How you can box out the competition

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5 Key Elements for Building a Successful Data-Driven Product

Leading brands and local businesses alike are tapping into varied business and consumer data to power their products and meet consumers’ ever-evolving needs. But companies need to remember that a product can only be as good as the data that powers it. The criteria you should use to vet available data sources.