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
A couple weeks ago, I discussed how social media monitoring and analysis tools can be used to defend an organization's reputation (see "Play Better Defense With Social Media Monitoring," 16 November 2010).
I've been part of the agile software development world since 2000, when I first found out about XP. I was immediately taken with its high level of collaboration, emphasis on working with the business, and tight focus on technical practices that, when used properly, produce excellent software quality.
Agile and service-oriented architecture (SOA) share similar goals, and both represent the current end point of lengthy processes of evolution. SOA and its concepts are derived from innumerable attempts through the years to develop reusable code and to segment individual software development projects into modules through OO programming.
Adoption of high-performance analytic databases1 by end-user organizations has experienced moderate but steady growth since their inception. According to Cutter research, about 18% of end-user organizations use high-performance analytic databases to support their BI data management and data analysis efforts.
Event analysis is a counterintuitive but "easy to understand and use" approach for designing or redesigning processes and systems. If used consistently and extensively, it simplifies architectures, increases structural parallelism, identifies needed controls, and expedites the eventual enhancements of applications, middleware, and operating systems.
This summer, Cutter conducted a survey of EA programs with the subscribers to our Enterprise Architecture practice. Among other issues, we looked into the perceived effectiveness of EA programs. Unfortunately, the results were a little disappointing.