CIOs and IT Directors need to keep the enterprise operating in a secure manner while also helping the enterprise to go digital. The challenge is to leverage technologies that can automate legacy processes or reinvent them in a completely new digital approach. Our research for CIOs and their teams is focused on providing insights on trends in emerging technologies and the best practices of how to put them to work in the Digital Business era. Some of the key issues we address include:

  • How can enterprises leverage new technologies, such as Machine Learning, to update existing applications?
  • What are the best practices for shifting to a digital business approach?
  • How should enterprises balance new best of breed applications vs. platforms offered by large technology providers?

 

CIO and IT Executives

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Aragon Research's 10 Tech Trends for 2017

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Digital Technology: Seven Major Trends for 2016

Digital Technology: Seven Major Trends for 2016

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CIO and IT Research

The Aragon Research Technology Arc for the Digital Workplace, 2017

The Aragon Research Technology Arc for The Digital Workplace, 2017
March 16, 2017

Summary: Workplace technologies have undergone tremendous convergence as they have become cloud and mobile enabled. The push towards platforms has also allowed new categories of applications to emerge Read More >

Predictions for Business Process Management, 2017

Predictions for Business Process Management, 2017
November 29, 2016

Summary: Business Process Management has grown from simple process optimization to dynamic and adaptable paths for better outcomes. As AI and smart resources invade process and development, things will change rapidly Read More >

Predictions for Cognitive Artificial Intelligence (AI), 2017: Smarter Applications, Digital Assistants, and Enabling Faster Business Outcomes

Predictions for Cognitive Artificial Intelligence (AI), 2017
December 20, 2016

Summary: As the race to digital accelerates, and as organizations continue to differentiate their products services and interactions, the need for smart and speedy human resources becomes significant. This research note reviews five key Cognitive AI predictions for 2017 and beyond 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 >

CIO and IT Blogs

IBM InterConnect 2017: IBM Flexes its Understanding of Digital Demands

IBM InterConnect 2017: IBM Flexes its Understanding of Digital Demands
March 22, 2017

IBM is trying to stay ahead of the demand that digital will put on cloud infrastructure, and is building a very capable Digital Business Platform (DBP) that is cloud centric 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 >

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 Google Enterprise event and 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 from Google 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 >


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