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

This case study illustrates that sometimes very significant business goals seem to get washed out of the process of specifying and building a system; the focus is on managing the solution (e.g., certainly reducing manual effort is solved with automation) rather than on managing the relationship be

Too many organizations confuse activity with purposeful action. For them, especially in a crisis, it's important to do something. The worse the crisis, the more pressure there is to act. If you follow this path, at best your success will have had more to do with luck than with planning.

The Circle -- the new novel from Dave Eggers -- is being billed as sort of a modern 1984 meets A Brave New World.

Hadoop is receiving a lot of attention from data mining and predictive analytics practitioners because it offers a scalable platform for building, training, and testing models that can be executed in parallel using massive volumes of data, as opposed to typical data mining practices involving the use of sample data sets for m

The strategic goals, vision, and mission statements of today's organizations emphasize the importance of customer satisfaction, not only in terms of functionality but also in terms of quality of service (QoS). One of many QoS parameters for an application is performance. The performance of any system refers to how well the system is able to handle the user load in terms of application response and system resources.

During July-September 2013, Cutter Consortium conducted a survey asking 39 end-user organizations worldwide about various issues pertaining to BI, data warehousing (DW), analytics, and Big Data practices.

Organizations seeking to respond quickly in an ever-changing marketplace are asking more and more from their data warehousing (DW) and business intelligence (BI) teams. Fortunately, many BI teams are finding they can meet top-priority needs in short time frames when they adopt Agile practices. Within an Agile team, the product owner (PO) guides the team's priorities to meet the organization's goals.

Product owners for Agile BI teams often face unique challenges compared to their peers on other functionally specific delivery teams.