Tuesday, August 18, 2015
02:00 PM - 02:45 PM
Artificial Intelligence, Robotics and Deep Learning are "hot" lately but actually it is data that fuels the world today and is rightfully considered the resource that can make humans more powerful and smarter. Despite tremendous advances in cognitive computing capabilities, organizations have only begun to scratch the surface of potential for this innovative technology. From improving customer engagement to enhancing research capabilities that identify new, life-saving medical treatments, the potential value of cognitive-based solutions is boundless. While realistic about the future of this technology, we believe there are multiple innovative opportunities for cognitive computing across industries.
In this session we will discuss:
- Cognitive computing has come a long way over the past 50 years
- Many organizations are already leveraging this innovative capability to realize significant business value and the potential for the future is exciting
- While realistic about the future of this technology, we believe there are multiple innovative opportunities for cognitive computing across industries
- Cognitive computing capabilities have and will continue to progress around three capability areas directly related to the ways people think and work
- The use cases of cognitive computing will evolve over five key dimensions which will impact the robustness of future capability
- The rate of advancement across these evolutionary dimensions will be impacted by six forces which will influence the rate of adoption in both the public and private sectors
- There are three key lessons learned from those that have been pioneers in implementing cognitive computing solutions
- And four steps your organization can take now to begin preparing to take advantage of this innovative and exciting capability
Piyush Malik leads the Worldwide Big Data Analytics Center of Excellence within IBM’s Global Business Analytics & Strategy consulting practice focusing on data- driven business transformation and data science. With 25 years of Management Consulting background, he focuses on emerging technologies and strategic initiatives at IBM and for clients. Specializing in information management strategy and architecture, big data, information quality and governance, business intelligence, master data, and advanced analytics; Piyush has over 2 decades of international consulting, practice building, sales, and delivery experience with Fortune 500 clients across multiple industries.
He has also been serving on the Board of Directors and Advisors at several non-profits including American Institute of Big Data Professionals (AIBDP) and International Association of Information and Data Quality (IAIDQ). Piyush received undergraduate degree in engineering and a masters in management from IIT, Delhi