One could argue that many of the world’s problems can be solved with data. While I won’t be able to save the world just yet, I’d like to explain how statistical analysts and data experts use tools to understand data and how this data can then be managed to influence our environment.
During the IBM flagship Think conference in San Francisco today, businesses looking to accelerate their transformation with the IBM AI Watson were treated to news that they’ll be able to build, deploy and run AI models and applications across any cloud, giving them the freedom to apply Watson
A faster journey to AI for the enterprise? What’s the secret? In this interview with Dinesh Nirmal, IBM vice president of analytics development, he shares the highlights of his upcoming Think session: “Modernizing Your Data Estates for an AI and Multicloud World.” On Wednesday, 13 February, he and
Essentially, Monte Carlo simulations predict an outcome not from the actual values of input data (which aren’t known) but from the likely (aka “simulated”) values of that data (based on their probability distributions). These simulations can prove invaluable for assessing risks in many real-world
Although spreadsheets offer a stable, attractive option when working with numbers, they can fall far short when they are applied to enterprise-scale statistical analytics. Weigh the limitations of spreadsheets against the benefits of a sophisticated, enterprise-grade statistical analysis tool for
Open source tools continue to foster non-stop innovation throughout the Insight Economy. So it’s no surprise that open-source languages—most notably, R--have moved to the center of enterprise statistical analytics and data management.
Spreadsheets are excellent tools as far as they go—but how far can they truly go? If you’re pushing your spreadsheet-based solutions beyond their viable limits, then they might be doing more harm than good. Discover what considerations you shouldn’t ignore when using spreadsheets for statistical
At IBM Insight 2015, you’ll be able to discover the latest and greatest in the SPSS universe. A lot will be going on at Insight, so take care not to miss the sessions that will interest you most. Learn the ins and outs of SPSS sessions at Insight, allowing you to make the most of your Insight
While you’re at IBM Insight 2015, hit the bookstore for more on a variety of topics covered in regular Insight sessions. If you like, meet the authors to get your book signed and take a moment to chat. Don’t miss this chance to bring your learning home from Insight.
Predictive analytics isn’t complete without geospatial analytics, which offers data dimensions that can provide a holistic view of business problems. At IBM Insight 2015, discover how geospatial analytics can help you understand your customers and your operations through time and space components.
Time and location-based intelligence can reveal hidden insights about your business, customers or constituents. Learn how organizations can benefit from geospatial analytics and how IBM SPSS Modeler augments predictive modeling by integrating elements of time and space into analyses.
Predictive analytics that incorporates geospatial data can provide answers and insights not found in charts or tables, and it can be extremely helpful for organizations that want to answer the critical who, what and where questions for accurate forecasting.