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 a recent Cutter Consortium survey, we examined findings concerning the major challenges organizations indicate are hindering their efforts to apply IPA. In this Advisor, we take a closer look at the top three of these challenges: IPA is still an emerging technology, issues identifying applicable use cases, and the complexity of IPA development/implementation.
On 12 May 2021, the US White House issued a presidential executive order (EO) on improving the nation’s cybersecurity. The purpose of this Advisor is to point to this EO as a resource that enterprises should study in some depth as well as to use it as a context to highlight ways to think more fundamentally and timelessly about cybersecurity.
In a world increasingly dominated by artificial intelligence (AI) in its various guises, the danger of good data going bad — what we might call “data rot” — is becoming pervasive and dangerous. In this fourth Advisor of my series, I consider a couple of real — and possibly unexpected — ways the rot can set in.
Organizations need to address several issues across four critical steps to make AI work to their best advantage: (1) assess business needs, (2) seek skilled AI people and train staff, (3) identify AI machine learning input data, and (4) choose AI and ML tools. This Executive Update addresses each of the four steps and offers recommendations.
Many of Agile’s practices and base assumptions were and are unrealistic, and some have become obsolete in our present digital world. We need new solutions — software developers would call it a major refactoring. It’s likely you will recognize some of these suggestions as changes you’ve already made to address the flaws of the original Agile methodologies. For those who have just become Agile believers, this may come as more of a surprise. This Advisor goes through four common problems with Agile versus reality and discusses possible solutions.
In this Advisor, we examine the risks of software-as-a-service (SaaS) development and deployment. Specifically, we outline seven related suggestions to mitigate risk.
Discover how fintech can support businesses to not only reopen post-pandemic, but also to develop a robust digital infrastructure that will support growth into the future.
This Advisor explores the use of the ISO/IEC 25010 quality model as a software architecture evaluation method. You'll discover how this model offers a common language for describing architecturally significant quality characteristics across the organization and creates the potential for comparison across projects and their architecture reviews.