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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
Cloud technologies Cloud technologies
Data integration tools Data integration tools
Decision management Decision management
In-memory computing In-memory computing
Intelligent integration and BPM Intelligent integration and BPM
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Internet of Things

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E-Book: How to Move to a Fast Data Architecture

E-Book: How to Move to a Fast Data Architecture

fast data architecture

Data has little value without the right architecture, use case, and analytics capabilities in place.

Written By

RTInsights Team

Dec 15, 2015

The growth of data, such as from IoT sensors, will open new opportunities for businesses, but only if the right fast data architectures and analytics solutions are in place.

In this 48-page e-book, “Fast Data and the New Enterprise Data Architecture,” Scott Jarr, co-founder and chief strategy officer of VoltDB, shows how enterprises can move to new data architectures to take advantage of fast data as well as data at rest. And it’s not all about stream processing, Jarr argues. In this e-book, also published by O’Reilly Media, here’s what you’ll learn:

Components of enterprise data architectures, and where business intelligence, exploratory analytics, and real-time analytics fit in;
How to integrate fast data into enterprise architectures, and requirements for fast-data systems;
Uses of fast data systems in various industries, including capital markets, telecommunications, the consumer web, marketing, the industrial Internet, the IoT, and the energy industry;
Differences in fast-data systems, including fast OLAP systems; stream processing systems; and fast operational database systems.

To get a free copy of the e-book, fill in the form.

RTInsights Team

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How Data Hydration Enables Scalable and Trusted AI

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