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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Preparing for Digital:  10 Key Predictions for 2017

Preparing for Digital: 10 Key Predictions for 2017

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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
  • The Technology Arc for Artificial Intelligence, 2017
  • Separating Fact from Fiction: The Key Differences between Machine Learning, Deep Learning and Cognitive Computing

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Five Predictions for the Digital Workplace, 2017

Five Predictions for the Digital Workplace, 2017
January 24, 2017

Summary: The advent of Machine Learning and increased use of voice technology means that fundamental changes are coming to the workplace Read More >

Predictions for Business Process Management (BPM)

Predictions for Business Process Management, 2017
November 29, 2016

Summary: As AI and smart resources invade process and development, things will change rapidly. This research note reviews five key process and development predictions for 2017 and beyond 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 >

Digital Transformation: Three Case Studies You Can't Miss

Digital Transformation: Three Case Studies You Can’t Miss
October 18, 2016

Summary: Research VP Jim Sinur summarizes three key case studies that can provide insight as to how organizations in different industries have seen significant, positive outcomes from having implemented digital initiatives Read More >

Google Cloud Next 2017: Doubling Down on Machine Learning by Jim Lundy

Google Cloud Next 2017: Doubling Down on Machine Learning
March 13, 2017

Google held its annual event called Google Cloud Next 2017 and with it came a flurry of announcements and partnerships. While it may seem like just another service, Google’s Cloud Machine Learning Service means that Deep Learning (via TensorFlow) is now available to enterprises 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, 2017. Only by leveraging AI can this be accomplished – it can’t be done with human controlled responses or 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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