Strategic advice & alerts to leverage data analytics & new technologies

Leverage data and the technologies that generate it, from ML, IA, NLP, blockchain, IoT, and emerging tech; to data science, data visualization, predictive modeling; to data quality, data governance, and data architecture.

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The application of advanced technologies, including artificial intelligence (AI), are increasingly being used to detect wildfires before they grow out of control, predict a wildfire's path, and assess the risk and potential damage caused by wildfires. This Advisor explores the application of AI and machine learning technologies to mitigate the impact of wildfires.
A common denominator behind failed ML projects is the anthropomorphism of technology. This Advisor explores how, through our tendency toward anthropomorphism, we fail to make a critical distinction in the way humans and machines interpret the world.
Today’s decision support tools are useful but limited — and running algorithms can be computationally expensive. We need statistical shortcuts that simplify incredibly complex equations so that they can run on today’s hardware. This Executive Update highlights the “quantum leap” and how it will end estimating and solve equations in their full complexity. Instead of waiting 24 hours, the solution might only take a second. Within the next 10-20 years, the quantum computing era can lead us to a fully intelligent enterprise.
Myles Suer and John Wills address how to ready data for analysis and competitive advantage. They compare and contrast how legacy companies differ from startup enterprises in terms of data history, governance processes, and management experience. They explore in great depth the importance of properly cataloging data for eventual strategic use. An important lasting lesson of their article is the importance of people in maximizing the business results from any data strategy and technology investment.
Cutter Consortium Fellow Steve Andriole opens the issue with a fundamental question of the times, "What's different about pre- versus post-pandemic technology adoption?" He addresses the timeless imperative for technology leaders to be effective both strategically and operationally.
To help leaders navigate the "next normal" of the business world, the four articles in this issue focus on key lessons learned during the pandemic that will have lasting and substantive effects on business for the intermediate and longer term.
According to findings from Cutter Consortium’s recent survey on intelligent process automation (IPA) in the enterprise, a fairly high amount of interest exists among end-user organizations for using cognitive systems in their IPA efforts, with approximately one-third indicating they would like to do so. In this Advisor, we take a closer look at cognitive computing systems and how their use can support organizations' process automation efforts.
In Part VII of this Executive Update series on IPA in the enterprise, we examine survey findings pertaining to how organizations view the success of their IPA efforts so far and whether they believe the technology will eventually live up to expectations.