Machine learning is being used at the heart of next- generation methods for self-driving cars, facial recognition, fraud detection and much more. At IBM, we’re applying machine learning methods to SQL processing so databases can literally learn from experience.
Quite often, we see that the need for data security and governance makes some organizations hesitant about migrating to the cloud. This is perfectly understandable given the types of data gathered and used by businesses today, the regulations they must adhere to on both a local and global level,
Listen to Dr. Hans Schlenker, Offering Manager, IBM Decision Optimization (DOcplexcloud and DOcenter) as he speaks about how you can solve the real-world optimization problems with IBM Decision Optimization on Cloud.
Prescriptive analytics (optimization) is a sophisticated analytics technology. It can deliver great business value by helping decision makers handle the tough trade-offs that arise when limited resources force choices among options. Optimization was traditionally applied by Operations Research
Analyzing partnership management is never easy. The data behind traditional procurement and supplier partnerships is a convoluted, messy rabbit hole. However, tools for analysis have evolved significantly to make navigation easier than ever in today’s business climate.
Many line-of-business users may dismiss optimization as being too complex to contemplate. Yet that way of thinking couldn’t be further from the truth. Find out how advanced analytics can be used to deploy practical optimization solutions.
Taking full advantage of analytics as they mature involves the ability to manage business rules, predictive models and optimization. Without these capabilities, enterprises may fail to move along the maturity continuum and miss out on business insight and value.
Which comes first—investment in forecasting, or investment in planning or scheduling? Discover how investing in planning and scheduling processes and solutions can bring benefits even when forecasting is lacking, and find out how IBM Analytics can help your organization start its advanced analytics
To fulfill the promise of analytics, we must put a lot more effort into delivering these projects right, the first time. We must think through each of the traditional success criteria and ask ourselves the burning question: how is delivering analytics different? This starts from gaining executive
Michael North, senior director of broadcast planning and scheduling for the National Football League (NFL), has a tough job: assembling the best, most exciting schedule for the complete NFL season that satisfies the requirements of the teams, the broadcasters and fans. It's truly a big data
We certainly live in a connected world. It always amazes me when I see how smarter enterprises are using the highly interconnected, intelligent and instrumented qualities of today’s technology to make our world a better place: the way we interact changes, how we approach our day is different and
This week we’re in New York City for IBM’s Smarter Analytics Leadership Summit where we are gathering with industry leaders to share insights on how they are working with IBM to leverage the explosion in big data and power intelligence to drive transformation in their organizations.
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