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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To bridge the divide between the general understanding of the concepts that drive the business model and the departments and teams into which the employees have been divided, the organization has to make the leap from a model-driven data architecture to a model-driven organization; it has to derive its own structure from the logical design.
According to Cutter Consortium Senior Consultant Mike Rosen, there are three main roadblocks to digital business: 1) Lack of an agile architectural approach; 2) Limited data accessibility, integration, and quality; and 3) Inability to accommodate new requirements for speed, scope, and scale. Discover practical strategies for approaching and tackling these roadblocks in this short, on-demand session.
The early emergence of a new, potentially viral term — a “lakehouse” — suggests another wave of fuzzy thinking is about to infect the data architecture space.
This edition of The Cutter Edge explores ten critical areas in need of technology regulaton, the factors leading to information mistrust, the roadblocks to digital transformation success, and more!
In the webinar, “Overcoming the Industry 4.0 Skills Shortage,” Barry M. O'Reilly discussed the skills shortage that is both inevitable and predictable when businesses try to solve problems with Industry 4.0, which is less about automating old processes and more about inventing a new world in which computing drives business rather than mirrors it. It is apparent that we cannot simply continue as we have in the past. Educating engineers faster, matching them to jobs more easily, and simply doing “the same old thing” has not solved the earlier skills crises — and Industry 4.0 presents even tougher challenges than what we have experienced thus far. In this Advisor, Barry shares some responses to questions following the webinar.
Data architecture as currently practiced is beset with a range of problems, many of which are described in a recent issue of Cutter Business Technology Journal — as are some solutions to some of the problems. However, I contend that we need to return to basics in decision making and ask how decisions are actually made by people and in organizations.
From the need for more technology regulation to what technologies will be most transformative, from guidelines for keeping our data safe to minimizing the profusion of misinformation — we are sure you’ll find value in the observations in this issue of Cutter Business Technology Journal. We trust that they’ll give you the foresight to proceed with optimism, yet vigilance, into this new decade.
With all that is new and changing before our eyes, we asked the Cutter Consortium team of experts to weigh in on the technologies, strategies, and business models that will have the most relevance this year and beyond.