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Solving the Data Daze – Analytics at the Speed of Business Questions

Rocket-Powered Data Science

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167
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The Shift toward Intelligent Automation

DataRobot

These automation specialists are now upskilling in data science , leveraging DataRobot, to rapidly build highly predictive models, in a no-code environment, and embed them into their automation workflows. It forces banks to spend time chasing false positives and hunting for investigators’ notes.

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5 Data Governance Mistakes to Avoid

Alation

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. Keen to learn more?

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5 Data Governance Mistakes to Avoid

Alation

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. Keen to learn more?

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What Is Embedded Analytics?

Jet Global

Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. While data exports may satisfy a portion of your customers, there will be many who simply want reports and insights that are available “out of the box.”