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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Insight

Although the unavoidable tension between quality of production and speed to market is centuries old, we still treat the problem of quality in rapid software development as a new one. If we examine historical lessons, we can figure out how to update them to create an innovative and modern approach to quality assurance (QA) within a development organization.

In 1987, I visited an interesting young company in California's Silicon Valley that was going to revolutionize the way software projects are managed and developed.

Agile architecture teaches us that while effective enterprise architecture (EA) needs to have a broad perspective, it also must have a focused contribution. There is no more powerful contribution than providing the data that is ultimately used to make specific decisions in support of the goal of "aligning IT and business." This is the first in a two-part series aimed at making this goal less abstract. While this report focuses on alignment of individual systems to their business goals, Part II will focus on alignment of the EA program as a whole, as a partner in a set of business functions.

The best way to predict the future is to invent it.

-- Theodore Hook (English author)

In the last three years, we've witnessed the rapid emergence of Web 2.0 in various forms -- blogs, wikis, social networks, Web mashups, and RSS feeds -- and many individuals and enterprises have embraced it.

Over the past few years, business rules management systems (BRMS) have generated an increasing amount of attention because of their ability to add automated decision-making capabilities to applications in such domains as personalization, marketing, compliance, fraud, and business process management (BPM), to name a few.

Another 3 am "go live" meeting.

Rain gushes down the wide, conference room windows. Occasional flashes of lightning cut across the rolling black sky, and thunder rattles the windowpanes.

Another 3 am meeting.

Another major issue.

Another last-minute decision to scrap the release.

The storm cannot possibly darken the mood any further. If you could broadcast the thoughts of those sitting around the conference room table, they would probably sound something like this: