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

In recent years, service-oriented architecture (SOA) has become the hottest topic in the industry because of its promise of reuse, cost savings, and faster time to market, all of which are very appealing to a highly competitive marketplace. While the promises touted by SOA are not new -- as older generations of technologies such as CORBA remind us -- the means of achieving those goals through SOA must be fundamentally different.

Enterprise architecture management (EAM) and service-oriented architecture (SOA) mark two disciplines that belong to the IT plat du jour. Many organizations across the world are trying to implement SOA patterns and EA practices to reap the fruits promised by both disciplines.

A business ecosystem, as introduced by James Moore [25], refers to the dynamic interaction of organizations in a community; over time, these groups co-evolve their capabilities and roles and tend to align themselves with the directions set by one or more companies that drive the evolution of the environment.

A business ecosystem refers to the dynamic interaction of organizations in a community; over time, these groups co-evolve their capabilities and roles and tend to align themselves with the directions set by one or more companies that drive the evolution of the environment.

The need to transition to a service-oriented architecture (SOA) has become a gradual but increasingly incessant mantra over the past several years, promoted by pundits and vendors and understood as a means of improving efficiency, integration, and Web enablement. Most corporations today have some form of a transitioning plan in place. However, in some areas, what is going to be required is still rather vague.

It's easy to push against an open door. It's also easy to fall flat on your face doing so or to discover that there is nothing worthwhile on the other side.

The saturation of the technology and business media with references to "community-based this" and "user-created that" makes it difficult for business decision makers to separate hype from reality and to visualize the practical applications of exciting, but sometimes vague, concepts.

This is the last in a three-part series of Executive Updates on data management and analysis. Part I (Vol. 7, No.