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
Simply put, open source software is software that can be freely used, modified, and redistributed by anyone. These terms of release have two key implications. First, they create the potential for software products to be collaboratively developed by communities of developers (both individuals and organizations) in a mode of production and innovation that Yochai Benkler termed "peer production" [1].
In my last Advisor, "ITSM and SOA Part 1: Coincidence?" (26 September 2007), I discussed ITSM and its service management processes. Now let's look to see how or if they really apply to SOA. To do this, we'll start by examining the service lifecycle and some of the challenges that face successful SOA adoption.
For some time now, Oracle has offered what it calls "Information Appliance Foundations," which are reference configurations that specify a recommended database, server, and storage mix for a customer's data warehousing requirements. These specifications, however, do not actually bundle the various software and hardware. Thus, they are not a data-warehousing appliance, per se.
In this Executive Report, I explore data architecture in detail, putting it into the context of your overall IT architecture strategy and describing the critical aspects that should be addressed by effective data architecture. My primary goal is to make you aware of, and understand the complexities of, the issues that your data architecture must address.
In the accompanying Executive Report , I explore data architecture in detail, putting it into the context of your overall IT architecture strategy and describing the critical aspects that should be addressed by effective data architecture.