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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. An AI-based medical assessment platform analyzes medical records to determine a patient’s risk of stroke and predict treatment plan success rates.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. Prescriptive Analytics provides precise recommendations to respond to the query, “What should I do if ‘x’ occurs?”

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

You can use third-party data products from AWS Marketplace delivered through AWS Data Exchange to gain insights on income, consumption patterns, credit risk scores, and many more dimensions to further refine the customer experience. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Because of compliance. Admittedly less Descartes, more Wednesday Addams.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Some data is more a risk than valuable. Risk Management (most likely within context of governance).

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What Is Embedded Analytics?

Jet Global

Positioning Embedded Analytics for Each Executive Here are some tips on understanding executives’ priorities and getting them on board with the project. Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. It will help to eliminate some of the development risks.