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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If your enterprise is like most others, you probably have some trusted old systems that have served well but have become problematic for one reason or another. Perhaps the platform is no longer supported, or growth and add-ons have evolved into an expensive and difficult-to-maintain application mess.

Complex event processing (CEP) and stream-computing analytics software designed to analyze high volumes of continuously streaming data -- both structured and unstructured, in real time -- has received a fair amount of attention over the past 12 months or so.

"In agile there is no quality assurance." That is one of the major misconceptions about agile, expressed either with triumph or as an accusation, depending on the speaker's position. It doesn't matter which of these two parties you belong to; both points are wrong. In fact, the agile movement has led to a revival of quality culture in software development.

As the world of technology continues to change, no software company can rest. To expand their products, firms purchase others. Not only will they expand their product set through such purchases, but they can now cross-sell -- to the customers of both companies. This opens new opportunities for the software vendor. But while it is great for the vendor, it creates new challenges for the customer.

In this Executive Update, I provide some insights toward applying the lean concept of limiting work in progress (WIP) in Kanban to balancing WIP at the product management level.

The seductive beauty of owning your own house is that you can put up a fence, plant your garden, and paint your deck the way you want to, not the way your neighbors want you to, unless you moved into one of those subdivisions that control all of that. Ownership is synonymous with individual control and is instinctually attractive.

We are seeing significant developments involving the incorporation of social computing techniques with enterprise software. This new breed of enterprise collaboration tools blends the social networking models made popular by the consumer Web (i.e., Web 2.0) with enterprise content management techniques.

One question people keep asking is: where are organizations using on-demand -- software as as service (SaaS) -- and cloud-based BI and date warehousing solutions? A survey we conducted last July that asked 79 end-user organizations about their various BI and data warehousing efforts helps provide some insight into this question.