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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As we fight through current issues and eventually come out on the other side to whatever will be the “new normal,” a word has increasingly made its way into the daily discourse of business and technology leaders, as well as of politicians (at least those who know how to spell it): trustworthiness. Some things are noticed only when we miss them; trustworthiness is one of those. It is interesting to delve into how we got to this situation; the role that information technology has been playing in the erosion of trustworthiness; and how it, like many double-edged tools, might help solve the very problems it has helped create.
In this Advisor, we consider two scenarios — investment planning and digital transformation — where using a capability model as a foundation for delivering information can be valuable.
In this last article of the data lakehouse series, the author polishes his crystal ball and shares his opinions on the likely direction of the data architecture considerations around warehouses, lakes, and any other forthcoming popular memes.
Using the “technology as the solution” line of thought but with the added twist of putting a human in the loop, a team of eight coauthors led by Greek academic Panagiotis Monachelis proposes to combine peer-to-peer decentralized networks and blockchain technology to address the challenge of misinformation in social media. The authors provide a detailed description of an architecture, embodied in their research project called EUNOMIA, that allows end users to review posts and feed a secure voting system.
Robert A. Martin addresses the complete ecosystem involved in the procurement of products and services. What does it mean to trust that what you buy, and the organizations that sell to you, meet all the conditions required to merit your trust? Martin describes the elements of a system of trust for supply chain security that is currently under development and is based on collecting information from a wide community of procurement departments and standards organizations.
This issue’s contributors have addressed the question of trustworthiness from a variety of angles. Each article offers a significant contribution to the challenge of restoring and maintaining trust.
Cutter Consortium Senior Consultant and frequent contributor Paul Clermont uses his well-known “straight talking” style to paint a clear picture of the “broad scope of threats” we are facing. He uses anthropological analogies to explain the “circles of trust” we use in deciding what to believe. Clermont doesn’t shy from the potential conflicts among information transparency, privacy, and intellectual property. He then looks at the proper role of governments in creating the frameworks and standards that can help improve trustworthiness.
David Tayouri brings us the perspective of the Israeli defense environment, justly famous for its leadership in cybersecurity. For Tayouri, the combination of biometrics, asymmetric cryptography (think “PKI”), and blockchain can help construct a strong authentication and authorization environment, which is crucial to, in his words, “reconstruct virtual trust.”