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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
IIC Testbeds IIC Testbeds
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Posts by Joe McKendrick

Joe McKendrick

Getting the Most Out of Real-Time Data

Real-Time Revolution

Getting the Most Out of Real-Time Data

Real-time data and analytics are key to making better decisions, but their true potential is rarely reached. Are you making the most of real-time?

Jul 7, 2016

Who Holds the Keys to IoT? Developers

Internet of Things

Who Holds the Keys to IoT? Developers

Developers are key to the success of a platform. A recent survey shows that at over 6 million, the number of developers in IoT is strong and growing.

Jul 1, 2016

Those Exceptional Cases When Real-Time Needs to be Slowed Down

Real-Time Revolution

Those Exceptional Cases When Real-Time Needs to be Slowed Down

The real-time delivery of information isn’t always best for business.

Jun 28, 2016

Sorting Out the Five Faces of IoT

Internet of Things

Sorting Out the Five Faces of IoT

Why defining the IoT depends on your business.

Jun 19, 2016

Latest Cisco-IBM Deal Brings Watson to the Edge

Latest Cisco-IBM Deal Brings Watson to the Edge

“We’re trying to reduce the unnecessary transmission of data to the cloud.”

Jun 12, 2016

Real-Time Translation: Around the Corner or Still in Another Land?

Artificial intelligence technologies

Real-Time Translation: Around the Corner or Still in Another Land?

Is language too messy and nuanced for a machine to reliably translate?

May 30, 2016

IoT Projects: Who Pays For All That Stuff?

Real-Time Revolution

IoT Projects: Who Pays For All That Stuff?

IoT projects can cost a bundle. Who pays for the infrastructure and software?

May 22, 2016

Why the Move to In-Memory Technology?

Why the Move to In-Memory Technology?

A majority of business managers regard in-memory technologies as critical to analytics success.

May 16, 2016

Too Much Stuff: On the Need for IoT Intelligence

Internet of Things

Too Much Stuff: On the Need for IoT Intelligence

“A house is just a place to keep your stuff until you go out and get more stuff.” -George Carlin

May 15, 2016

Testing Medical Device Integration in the IoT

Testing Medical Device Integration in the IoT

The IoT can save lives, but only if medical devices can share data.

Apr 25, 2016

Three IoT Disruptions: An Interview With Software AG

Internet of Things

Three IoT Disruptions: An Interview With Software AG

Roadblocks to enterprise IoT adoption?

Apr 18, 2016

Fog Computing: a New IoT Architecture?

Fog Computing: a New IoT Architecture?

Just like the cloud, fog computing is expected to open new business models. But what is it?

Mar 22, 2016

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Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

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