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

Executive Update

The Role of Program Management for BI

Claudia Imhoff

Executive Update

Database Refactoring: Improving Data Quality After the Fact

Scott Ambler

Advisor

Building J2EE Applications with RUP

Paul Harmon

One of the wise decisions the Object Management Group (OMG) made when it standardized on UML in the late 1990s was to focus only on notation and to ignore specific methodological issues. That kept UML independent of any specific methodology, and it provided time for methodologies to evolve.

Advisor

Visual Data Mining

Curt Hall

Advisor

Connecting CORBA to the Web

Paul Harmon

Over the years, many large companies have used the Object Management Group's (OMG) CORBA middleware to link large enterprise applications. The leading vendor of CORBA -- IONA -- for example, claims it has more than 4,500 customers that rely on CORBA solutions. In many cases these are the same applications that companies are now considering integrating via the Internet to create Web services.

Advisor

Real-Time Data Warehousing

Curt Hall

There's been a lot of talk at data warehousing conferences and in the press (and by the extraction, transformation, and loading [ETL] tool vendors) about the need to update and refresh data warehouses in real time. In practice, however, few organizations are currently conducting real-time (or near real-time) data warehouse updates and refreshments.

Advisor