Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
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Neural networks and other machine learning (ML) model development typically requires large amounts of data for training and testing purposes. Because much of this data is historical, there is the chance that the artificial intelligence (AI) models could learn existing prejudices pertaining to gender, race, age, sexual orientation, and other biases. This Advisor explores these and other issues around data that can also contribute to biases and inaccuracies in ML algorithms.
This edition of The Cutter Edge explores the promise and potential of quantum computing, how IT departments can convince finance and procurement about the benefits of the cloud, and more.
Despite recent advances in quantum programming tools, there are two major challenges facing quantum software developers. First, there is an understandable fear of betting on a platform or language that ends up being discontinued. Second, quantum computer scientists need to understand current software engineering principles and techniques, or they will spend too much time reinventing the wheel.
The quantum computing race is already under way. Although still a nebulous concept to many IT professionals and business executives, it’s time to examine its near- and long-term potential by placing it on strategic business and IT roadmaps. The Advisor explores the progress made in quantum computing, as well as the opportunities, disruptive potential, and challenges the technology brings.
What are the steps in creating a successful portfolio management practice? This Advisor explores how to establish governance, conduct a maturity assessment, and take a cyclical approach to operating a practice. It also provides important points to keep in mind regarding each stage of the roadmap.
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.