Remove Big Data Remove Data Collection Remove Digital Transformation Remove Predictive Analytics
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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. We have simplified this journey into five discrete steps with a common sixth step speaking to data security and governance. Data Collection Challenge.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

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How AI Software is Changing the Future of the Automotive Industry

Smart Data Collective

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. AI aids with digital transformation and software-defined vehicles. Big data and AI are twin pillars in the field of software development.

Software 126
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3 technology trends set to revolutionize retail

CIO Business Intelligence

From big fashion brands to staples and grocery stores, every retailer is looking to apply algorithms to improve the bottom line, especially in the areas of omnichannel retailing, demand forecasting, and predictive analytics. Digital Transformation, IT Leadership, Retail Industry

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Creating a holistic 360-degree “citizen” view with data and AI

IBM Big Data Hub

In B2B or B2C circles, a 360-degree view of customers or citizens offers a holistic, comprehensive picture of a person based on data collected from all touch points. Data and trustworthy AI also provide predictive analytics for insights that can solve some of the most pressing health issues, including hunger and food insecurity.

B2B 52
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The most valuable AI use cases for business

IBM Big Data Hub

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Ensure that sensitive data remains within their own network, improving security and compliance.