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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

CIOs need a way to capture lightweight business cases or forecast business value to help prioritize new opportunities. The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 2: How Data & Analytics Can Help in a Downturn

bridgei2i

One real challenge that we’re seeing is the focus on forecasting. Let’s talk about forecasting for a moment. Everybody’s very concerned about forecasting. Most companies will forecast their business based on trends. Are they going to look at, you know, maybe new business models using data?

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Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Business Over Broadway

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration.

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How to choose the best AI platform

IBM Big Data Hub

By exploring data from different perspectives with visualizations, you can identify patterns, connections, insights and relationships within that data and quickly understand large amounts of information. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.

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DataRobot and Snowflake Healthcare Campaign

DataRobot

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions.