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
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.
THE EMERGENCE OF THE USABILITY PROBLEM
The early days of computing were dominated by technology-savvy developers and technology-savvy users. Computer users were like customers at an amusement park who had to be "this tall to ride this ride," and just about everyone met the requirements. That pretty much put usability issues on the back burner and out of mind.
Last week I was driving to one of my favorite restaurants, listening to National Public Radio. There was a story about the closing of an automobile factory in Fremont, California, USA (see "The End of the Line for GM-Toyota Joint Venture," 26 March 2010).
The majority of organizations using high-performance analytic databases are employing them for specific, compute-intensive applications intended to supplement the analytic processing of their main data warehouse. However, it appears that analytic databases are finding growing use as primary data warehouse databases as well.
