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.

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A revolution is coming to learning environments, with its initial impact likely to be seen in corporate training. This revolution is being fostered by Big Data analytics.

Natural resources are precious and in limited supply. Business environments are inherently complex and unpredictable. As we face these and other constraints on our ability to manage change, is it possible to produce sustainable enterprise architectures? In this Executive Update, we examine the relevance of sustainability for enterprise architecture.

Natural resources are precious and in limited supply. Business environments are inherently complex and unpredictable. As we face these and other constraints on our ability to manage change, is it possible to produce sustainable enterprise architectures? In this Executive Update, we examine the relevance of sustainability for enterprise architecture.

One of the major income opportunities I missed in my life was betting on a common budget question. If I had been given 100 Euros each time someone asked me, "How do I deal with budgeting in an agile environment?" I could probably fund a major contribution to the extinction of some terrible disease in the world.

I had an interesting discussion last week that started by talking about Big Data and ended in reflecting on the goals and skills of architecture.

The API Economy has become a hot topic across different industries. Experts commonly present it as a new and evolved way of doing business in today's world of the Internet, social networking, and mobile apps. However, most of the publicly available sources on this topic are informal (i.e., blog posts or Web articles) and are primarily aimed at nontechnical people.

The API Economy has become a hot topic across different industries. Experts commonly present it as a new and evolved way of doing business in today's world of the Internet, social networking, and mobile apps. However, most of the publicly available sources on this topic are informal (i.e., blog posts or Web articles) and are primarily aimed at nontechnical people.

Organizations are increasingly inundated by data: more sources of data, more types of data, and more detailed data. Yet while the volume, depth, and diversity of data continue to increase exponentially, the need to cut through the growing noise becomes more challenging and ever-more urgent. Organizations will need a new type of decision maker to address this need.