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
In Part VII of this Executive Update series on IPA in the enterprise, we examine survey findings pertaining to how organizations view the success of their IPA efforts so far and whether they believe the technology will eventually live up to expectations.
Tech accessibility is best served when there is inclusive design for people with disabilities (PWD) that starts from the design/user research phase and carries through the software development stage to the marketing cycle. When accessibility has not been embedded in the DevOps process, it shows.
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!)