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.

Subscribe to Arthur D. Little's Technology Newsletters

Insight

Business intelligence optimization can result in considerable savings across the enterprise, as well as yield more efficient operation and stronger analytic capabilities. Current BI infrastructures have been strained by the increasing challenge of managing terabytes of data, which are doubling every year. At the same time, ad hoc queries and scheduled reports are growing increasingly complex.

BI search (i.e., tools and applications combining BI reporting and analysis with functionality like Internet search engines) has received a fair amount of attention over the past few years.

There are two broad categories of topics related to scaling agile projects: organization and product. Several previous Advisors have focused on organizational scaling; this one will begin to focus on the product side, including such topics as architecture, roadmaps, backlogs, and multilevel release planning.

The success rates of adopting agile methods on a large scale have been disappointing. We have made good progress at the project level, but from portfolio to enterprise, success has been elusive. Even when we have somehow skirted resistance, delays, politics, and bureaucracy, results have not met expectations.

We are beginning to hear more serious thought given to the concept of third-party providers managing desktop environments via the cloud.

Virtualization is one of the hottest IT trends today. But when it comes to data warehousing, you'd hardly know it, because virtualization has made little impact in the data warehousing space. There's a good reason for this, which I'll get to in a minute.

In Part I of this two-part Executive Update series, we explored the value of architecture and the function of the architect.1 Here, we discuss the various stages and domains of architecture and why enterprise architecture (EA) is good business.

Agile methods (Scrum, XP, Crystal, DSDM, Feature-Driven Development, etc.) have moved into the mainstream over the past few years. Earlier in their adoption cycle, industry leaders such as BMC Software, British Telecom, Capital One, DTE Energy, and Yahoo!