Remove Data mining Remove Risk Remove Workshop
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8 Ways Successful Online Business Leverage Big Data

Smart Data Collective

How Big Data Can Help Your Online Business Maximize Growth Opportunities. High risk means high reward but there are certain steps you can take that almost guarantee commercial success, particularly when it comes to an online business. You can also use your own data analytics dashboards to see what customers are telling you.

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Going ‘AI native’ with in-house ChatGPT the MITRE way

CIO Business Intelligence

We took a risk. Youmans says MITRE’s aggressive embrace of ChatGPT will not only aid employees with their workloads and help produce reports faster, but it will also elevate the level of analysis due to MITRE’s significant hardware investment for data mining the nonprofit’s massive data repositories.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.” The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. This allowed us to derive insights more easily.”

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Decide to Decide Digitally: New Forrester Research

Decision Management Solutions

Most organizations have many such decisions they could usefully digitize but many struggle to identify them ( get in touch if you are interested in our remote decision discovery and decision value assessment workshops). Use data mining techniques to classify and categorize your customers and transactions.

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Change programs can spend many weeks conducting interviews and workshops to identify ‘As Is’ pictures. However, we often find a disconnect between what users say is happening, and what data shows is actually happening. Process mining equips and empowers people to think, challenge and reinvent what we do.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

For this demo we’ll use the freely available Statlog (German Credit Data) Data Set, which can be downloaded from Kaggle. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. Conference on Knowledge Discovery and Data Mining, pp. References.

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