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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In Part I of this Advisor series, I argued that data doesn’t “go bad” in the colloquial use of that phrase; rather, it is adulterated by the addition of dubious intent on the part of its collectors and/or users. That intent usually takes the form of reusing or repurposing data already collected to drive a different goal than that for which it was originally gathered. Here in Part II, we look at a couple of examples of these practices.
In Part V of this Executive Update series on intelligent process automation (IPA) in the enterprise, we examine findings pertaining to the technologies surveyed organizations are interested in adopting to support their IPA initiatives.
In this Executive Update, we explore how business architecture can help define data architecture, delivering transparency across a number of related business domains.
Various AI technologies, including ML, predictive analytics, NLP, and image recognition, are helping to reshape procurement operations. These developments are most apparent in the emergence of AI-powered cloud procurement platforms. This Advisor provides some example use cases of how AI is now utilized to automate and optimize procurement activities.
Many cities are now pursuing smart sustainable city strategies with the aim of enhancing their performance; optimizing their infrastructures, processes, and services; and improving residents’ quality of life. Recognizing the potential of digital twins, smart sus­tain­able cities are experimenting with these technology solutions. This Advisor highlights a few ways smart sustainable cities can leverage digital twin technology.
Microsoft buying Nuance Communications — a leader in natural language processing (NLP) and speech-powered solutions — for US $19.7 billion is the most important artificial intelligence (AI)–related acquisition to take place so far this year.
As the technology develops, digital twins could give rise to a new era of predictive medicine by giving clinicians a way to simulate the outcomes of possible interventions and create detailed plans for complex surgeries. This Advisor explores the potential of digital twin technology in the healthcare industry.
Here in Part IV of this Executive Update series, we examine findings pertaining to the benefits organizations seek to obtain from implementing IPA technologies and practices.