Following the keynote by Jeff Jonas, IBM hosted a panel discussion. Some 30+ partners came to learn how to leverage analytics in their offerings, and naturally a wide spectrum of analytics sophistication was represented, generating a vibrant discussion on everything from Smarter Planet to Artificial Intelligence to Decision Management.
The panel was made up of:
- Jeff Jonas, IBM Distinguished Engineer, Chief Scientist, IBM Entity Analytics Group
- Jeff Kreulen, Senior Manager, Senior Technical Staff Member, Services Oriented Technologies, IBM Almaden Research Center
- Thomas Dong, Senior Product Marketing Manager, ILOG Optimization and Analytical Decision Support Solutions
- Daniel Mannisto, CEO, Applied Analytix (IBM Business Partner)
During the panel discussion I had the opportunity to first share IBM's vision for business analytics, using an adaptation from Tom Davenport's book "Competing on Analytics", to explain why, how and where IBM has invested $14B since 2005 in business analytics. Several partners thanked me afterwards for presenting this visual, as it provided them with a blueprint for how they might evolve their own analytics capabilities.
In fact, this gave me an opportunity to define a new software category for many - Advanced Analytics, which applies statistical and mathematical techniques to provide forward-looking capabilities, beyond the insight commonly extracted from historical data and information. It can be viewed as a subset of Business Analytics, and provides an interesting convergence opportunity, between the IT-based "analytics" world, and this emerging world previously reserved for specialists in statistics and Operations Research-related disciplines (Management Science, Industrial Engineering, Financial Engineering, Systems Engineering, Applied Mathematics, etc.). As the business world evolves its analytics agenda beyond business intelligence and performance management capabilities, the desire to not only look back in time, but forward in time as well, is driving awareness for Advanced Analytics - and creating many opportunities for SPSS and ILOG Optimization at the point of business impact.