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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Insight

The accompanying Executive Report, aimed at both leadership teams of organizations and members of product delivery teams, details our experience changing the Cisco Voice Technology Group (VTG) waterfall culture to an iterative and incremental delivery system. In the report, we discuss how we went about initiating the change, what went well, and what we won't do again.

Many of us face challenges associated with the rapid growth in mobile application opportunities.

The onslaught of mobile devices into the office is no surprise. It has been going on for years, with workers bringing their PDAs, BlackBerrys, and smartphones to work, and, most recently, their iPhones and iPads.

Developing software in a way that enables reliable, repeatable deployments should not be a radical idea. Like many named concepts, devops makes formal the practices of many successful teams. This is also true of software development practices for agile and lean, and devops shares some values with agile -- especially a focus on delivering value to the business.

Most successful IT executives grasp the minimal appeal of business-alignment metrics focused on application downtime, system uptime/availability, speed of endpoint provisioning, mean time to repair

Lately, interest has been shifting from the physical layer of the Internet of Things toward a more abstract layer of a Web of Things (WoT),

Abstract

Success with enterprise architecture depends on strategy, rather than on existing business processes.

There has been a lot of talk lately about Hadoop and MapReduce in the role of analyzing "big data."1 Our research shows, however, that use of Hadoop and MapReduce in traditional enterprises (i.e., non-Internet-based companies) remains quite limited compared to