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.
Insight
I don't know of many people who really thought 2002 was a great year. Throughout most of the year, those involved in high technology -- including hardware vendors, software vendors, and IT consultants -- struggled to survive. Many didn't. By the same token, the large companies that normally buy high-technology products have largely had a poor year as well. They had tight budgets and, in many cases, layoffs.
Continuing last week's discussion on creating the real-time enterprise (" The Real-Time Enterprise," 17 December 2002), I want to cover a new application that will play a key role in enabling the real-time enterprise: business activity monitoring (BAM).
Governing Enterprise Architecture series:
The Architecture Council: Using Self-Interest in the Company's Interest
The Architecture Council: Using Self-Interest in the Company's Interest
In early December, IBM announced that it would acquire Rational Software for US $2.1 billion in cash.
Last week, I attended the "Creating the Real-Time Enterprise" conference in San Francisco, California, USA. This new conference, hosted by DCI, covers a range of issues confronting any organization that is contemplating moving to "real time."
Last week (" AI in Bahrain," 4 December 2002), I talked about the draw achieved by a commercial chess program, Deep Fritz, against world chess champion Vladimir Kramnik in Bahrain and concluded that AI techniques are getting more powerful and easier to deploy. This week, I want to reinforce that point with a concrete business example.