Artificial Intelligence (AI) extends the abilities of its human counterparts and can search, read, understand, and categorize various sets of unstructured data faster than any human or team can. As the race to digital accelerates, business complexity continues to grow beyond standard process and applications.

Organizations will need to make all resources smarter to deal with the increased speed of change reflected in dynamic goals. Discussions we’re having include Cognitive Artificial Intelligence (Cognitive AI); using smarter processes and applications; leveraging digital assistants, and enabling faster business outcomes.

 

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Modern AI and Cognitive Computing - Boundaries and Opportunities with Adrian Bowles

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Predictive Business Application Maturity Model 2016: the Rise of Platforms

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  • The AI Strategic Report and Vendor Index

 

  • The Global Cloud AI Providers: How Amazon, Google, IBM, Microsoft and Salesforce will Compete

 

  • Separating Fact from Fiction: The Key Differences between Machine Learning, Deep Learning and Cognitive Computing

AI Research

Leveraging the Emerging Digital DNA of the Digital Business Platform

Artificial Intelligence, Cognitive Computing, and the Race to Build the Intelligent Enterprise
May 5, 2017

Summary: This report examines Predictive Analytics and modern Artificial Intelligence, and the importance of key emerging technologies on business decision-making from strategy through operations Read More >

The Aragon Research Technology Arc™ for Artificial Intelligence, 2017 research

The Aragon Research Technology Arc for Artificial Intelligence, 2017
April 11, 2017

Summary: This inaugural edition features 31 technology and market profiles in Artificial Intelligence Read More >

Leveraging the emerging digital DNA of the Digital Business Platform research

Leveraging the Emerging Digital DNA of the Digital Business Platform
April 25, 2017

Summary: This research note will explore the five dominant DNA growth strands of the Digital Business Platform and identify the value that can be delivered early through adoption Read More >

Predictions for Cognitive Artificial Intelligence (AI), 2017

Predictions for Cognitive Artificial Intelligence (AI)
December 20, 2016

Summary: AI will make all resources smarter to deal with the increased speed of changes reflected in dynamic goals. This research note reviews five predictions Read More >

Intel and Artificial Intelligence - Why Their New AI Products Group Matters by Adrian Bowles

Intel and Artificial Intelligence – Why Their New AI Products Group Matters
April 18, 2017

Intel has been buying AI startups and investing in education and open source initiatives. Now they are consolidating and coordinating their efforts by putting all AI R&D in a new Artificial Intelligence Products Group Read More >

Superbowl Lessons from Intel: Use Cognitive AI to Manage Agility
February 7, 2017

Intel’s swarming drones come together to form the American flag during the Superbowl halftime show on February 5th. Only by leveraging AI can this be accomplished – it can’t be done with computer programming alone Read More >

Dispelling the Top Seven Myths of Artificial Intelligence by Jim Sinur

Dispelling the Top Seven Myths of Artificial Intelligence
March 7, 2017

When AI first appeared on the big stage in the mid to late 80s, it over promised and under delivered, for the most part. Today, while AI has emerged from its winter and has been the star of many successful technologies and use cases, myths still abound Read More >

3 Reasons You Should Consider Cognitive AI
January 23, 2017

In the near future, Cognitive AI will assist decision makers, allowing them to get to their desired business outcomes faster than ever before. This post will look into three of these factors and how cognitive powers can be applied to assist decision makers Read More >


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