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.
Recently Published
We’re going to make some business people cringe right off the bat with this claim: there is an ontology in your near future. In this article, we will explain what that means and why we assert it.
What’s in store for drones in 2019? Continued integration into business workflows and the national airspace, along with more innovations coming to market in UAS technologies.
Using preliminary results from an ongoing Cutter Consortium survey, along with additional research, Cutter Consortium Senior Consultant Curt Hall has identified several trends and developments that organizations may want to consider when assessing their own CX management journey.
With 2019 here and 2020 around the corner, it is time to recognize there are new rules in analytics and data management. These rules have created a wildly different analytics environment from the past. It’s time for organizations to embrace these new rules.
This article explores some of the ways in which effective risk management approaches, in particular the use of key risk indicators (KRIs) to drive proactive executive behavior, can reduce unnecessary risk exposure and minimize the potential for catastrophic events. We discuss the current state of risk-monitoring maturity in the business world, considerations for the selection of appropriate leading and lagging KRIs and their effective implementation, and then present insight for executives on what steps to take to improve risk monitoring.
This article describes some trends about technologies, technologists, and technoligarchs. First, we’ll look at the technologies with the most momentum. Next, we’ll examine the technologists escaping from data centers. Finally, we’ll round out the discussion by addressing the technoligarchs who control much of the digital landscape.
Combining the fundamentally different paradigms of Agile architecture and architectural agility can prove to reinforce one another. In a real-world case study from the consumer sector, this Advisor describes one company’s experience combining Agile and EA.
Architectures that combine blockchain and AI offer some exciting possibilities, not only for DRM, but for other applications as well — like supply chain, financial, and trading systems. These include those systems that need to provide responses to events that require a higher form of reasoning than can be practically performed using blockchain’s smart contract functionality alone. Researchers are now working out the particulars of such applications, and we hope to see commercial platforms emerging over the next few years.