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
Software systems are different. We know this because we make a mess of them all the time. If airplanes and flights had the same failure rates as software, there would be no aviation industry. Why they are different isn’t a question many have taken the time to ask. The answer to this lies first in understanding uncertainty.
Portfolio management is a valuable capability for the execution of corporate strategy. However, results often fail to meet expectations. But overcoming overoptimistic expectations and poor execution is less challenging with a realistic roadmap and framework. To be truly effective, portfolio management should be an extension and execution of corporate strategy, as is explored in this Advisor.
Some people might argue that their data architecture team has defined their data. This may be true, but even in the best of cases, existing data definitions rarely reflect the breadth, clarity, and rationalized business perspectives required to fully represent information as it is viewed by the business as a whole. But there is a discipline that if applied properly can help.
The potential of information — for good or for ill — far exceeds that of mere data. This Advisor explores how we need to change our focus from data to information in order to see more clearly why and how our IT industry often colludes in the demise of truth and supports the spread of disinformation.
This Executive Update redefines the notion of nonfunctional requirements in terms of a complexity science–based approach to software engineering. We introduce two new terms — hyperliminality and hyperliminal coupling — which provide a new way to describe nonfunctional requirements.
A 10-month timeline, the biggest budget the company ever committed to a "programming project," and a guy who is in way over his head. Sounds like the perfect IT horror story (spoiler alert: our hero and his project survive!)
A recent webinar explored how "citizen developers" can use "low-code/no-code" (LC/NC) solutions with relatively low learning curves to help their organizations expand their digital capabilities and grow the business. This Advisor shares some of the answers to questions participants asked about LC/NC solutions.
When deriving value from an analytics initiative, it is important to consider context, analytics maturity, the risk/value proposition, and the culture of your organization. This issue of Cutter Business Technology Journal, with Guest Editor Dave Cherry, provides strategies and insight to amplify analytics value.