Special Report: Embracing Digital Transformation 2.0

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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.

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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.

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The Value of Vehicle Electrification

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

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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.

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Smart Manufacturing for Automotive

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

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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.

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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.

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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.
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digital transformation

Modernizing applications as a part of digitization presents a challenge for many businesses, who may undertake a process that becomes more fundamental than transformational.

Written By

RTInsights Team

Jan 30, 2020

1 minute read

To work most effectively, digital transformation requires updating technology to ensure that mission-critical applications are able to take advantage of new data sources as well as machine learning to become smarter. This transformation changes resource performance, value, and cost by applying digital capabilities to processes, assets, and products.

In this special report, sponsored by Splice Machine, you’ll learn about:

The trends that are driving Digital Transformation 2.0 adoption
How asset-heavy industries, such as oil and gas, utilities, and telecom, benefit from digitization and app modernization
The architectural requirements of Digital Transformation 2.0

Fill out the form on the right to download the report.

RTInsights Team

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Special Report: Embracing Digital Transformation 2.0

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