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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As the Web continually develops, new opportunities are created but can be exploited only by those with clear insight and actionable foresight.

It should seem rather trite to say that the Web presents opportunities as a platform for collaboration. After all, the very origin of the Web roughly 20 years ago was rooted in the desire to provide the user of computer A with an easy way to access information residing on computer B.

The World Wide Web is just two decades old, and it has evolved rapidly. At the beginning, the Web was seen as a content publishing platform. However, with Web-based e-mail, e-commerce, and so forth, the Web has evolved into an application environment.

The mobile application landscape is dominated by Apple's iPhone App Store and, to a much lesser extent, Google's Android Market, Nokia's Ovi Store, and BlackBerry App World. None of these, however, meets the business need for a secure application delivery system where full control of which applications are loaded resides at the server.

In many companies and in US government agencies, enterprise architecture (EA) governance is already considered as a consensus-driven framework to guide and direct significant architecture decisions related to IT assets and resources that may make significant architectural impacts to the business operations.

In the last few years, agile methodologies have rapidly gained acceptance and moved into the mainstream. Currently, it seems like a majority of companies are running at least one agile pilot program and many large organizations have converted completely to agile methods.

High-performance analytic databases1 are receiving increasing interest by end-user organizations. This is understandable, given the ever-increasing amount of data that organizations are accumulating -- causing a data glut that is, quite simply, putting a strain on organizations' data warehousing and BI activities.

SAML (Security Assertion Markup Language), a product of the OASIS Security Services Technical Committee, is an XML-based standard for exchanging authentication and authorization data between security domains. At a concept level, SAML defines how an opaque structure with no discernible identifiers can be used among providers to represent a security principal.