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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.
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Report: Text Analytics Must Move Beyond Social

Report: Text Analytics Must Move Beyond Social

text analytics

Businesses that use text analytics to analyze the growing amount of unstructured data should look for systems that allow integration with structured data.

Written By

RTInsights Team

Aug 25, 2015

Unstructured data, such as from emails, customer comments, chat rooms, and social media, is expected to grow in scale and speed, making text analytics a challenge, according to an Incite Group report.

Companies struggle to tie analysis of unstructured data to other business sectors, and to produce actionable insight from the mound of data. Experts advise to form a team not only of data scientists but also business professionals who can provide those actionable insights. They also advise to set objectives for a data program, and to look for systems that allow unstructured data to be integrated with structured data. Download this report from the Incite Group to learn what to look for when integrating text analytics into business operations.

Fill out the form to receive the report.

Want more? Check out our most-read content:

Research from Gartner: Real-Time Analytics with the Internet of Things
Goodbye Don Draper, Hello Big Data: An EMA Report on Modern Analytics
Becoming an ‘Always On’ Smart Business
Frontiers in Artificial Intelligence for the IoT: White Paper

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