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
Abstract
Are you computing in the clouds -- working with a constellation of computing resources accessed via the Internet? If not, you will be sooner or later. Cloud computing, touted to be the next big thing in IT, promises to offer utilitylike availability of huge computing resources and is attracting lots of interest among the IT community and businesses.
Such service-oriented factors as business capability, process networks, core competency, and collaboration in the global marketplace tend to be ignored in many business process management (BPM) projects. At the same time, a service-oriented paradigm shift in BPM is not practically possible for most organizations.
Executive Update
Information Quality Monitor for Data Warehouses
This Executive Update aims to present a framework for monitoring and maintaining information quality in data warehouses. The framework includes:
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The definition of information quality assessment rule
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Methods to enable, monitor, and maintain the assessment process
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A generic logical data model to hold the assessment data
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A sample presentation layer for information health
A recent blog post from the Burton Group on the alleged "Death of SOA" has been causing quite a stir.1 The contention is that the bad economic situation has finally finished the "SOAsaurus" off and that we must now concentrate on services, along with mashups, cloud computing, and software as a service (SaaS) -- and not service-oriented architecture (SOA).
I think that many end-user organizations are going to have serious reservations about deploying their data warehouses permanently to the cloud, certainly at least initially. This is quite understandable, given that most companies tend to view their data -- especially customer data -- as a strategic asset.