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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Recent advances in source code analysis techniques enable us to quantify technical debt. By so doing, software quality can be tied to cost and value through a common denominator: the dollar. This tie enables the governing of the software development process with great effectiveness at both the tactical and strategic levels, as we examine in this Executive Report by Israel Gat. Such governance is applicable to any software method/process, enabling "apples to apples" management across a diverse portfolio of projects.

Every discipline develops its own terminology, and there is a period of time when those terms need to be explicitly defined every time they are used, because they have not yet become household words.

In this issue of Cutter Benchmark Review, we turn to a topic discussed previously in November 2008 (Vol. 8, No. 11) and July 2007 (Vol. 7, No. 7): project management. As readers of CBR know, we get our inspiration and ideas for topics from two sources. First, we get inspiration from current events, new trends, new technologies, and generally from being aware and plugged into what is going on in the world of IT. At the same time, we maintain a constant ear to the ground and stick with a reality check by being attentive and responsive to the Cutter Consortium client base. We pay close attention to the kinds of jobs that Cutter Consortium Senior Consultants are bidding for and working on. We also monitor the types of requests that Cutter clients make and we apply firsthand research at Cutter Summits held across the globe.

When teaching seminars and workshops on project management, I typically start with the classic five project management process groups diagram, then I add a big fat circle (see Figure 1).

Figure 1 -- Reality in project management.

Abstract

Complex event processing (CEP) monitors, aggregates, and analyzes large volumes of events in real (or near real) time across multiple data streams to offer instantaneous insight into live data on markets, transactions, customers, and operations -- thus enabling immediate response and better decision making based on ti

Data volumes across almost all industries are literally exploding with event data streaming from a wide range of sources -- including distributed messaging systems, blogs, databases, enterprise applications, telemetry feeds, and sensor devices like RFID. The volume and frequency of the data make it difficult to analyze.

Taking a Step Backward

For the last 40 years, we struggled hard to develop the scientific base an engineering team needs -- "craftsmanship" is what we tried to overcome! Now a new movement is trying to drag us back into the old times of chaos.

Software systems become unmaintainable sooner or later. Modifications get more and more expensive, and after a while modifications become unaffordable. Eventually, the pain becomes intolerable, and a new system is developed. Then the same game starts over again.