Featured Speaker: Prabhakar Narasimhadevara, Director of Data Science, Advanced Analytics and Data Engineering at Stanley Black & Decker (SBD)
For large multinational organizations with thousands of products, locations across the globe, and tons of data, the use of cognitive technology can greatly increase efficiency. Stanley Black and Decker has 60,000+ products in its portfolio and sells products in 90+ countries. With a large portfolio of products, customers serviced through different business models drives the need for a robust approach to manage customers to drive commercial excellence. This presentation will cover technical challenges related to scaling compute architecture, engineering complexity, modeling approaches and limitations, challenges of integration of AutoML engines, challenges of architecting for future algorithm inclusion to handle the complexities of product and business model heterogeneity while building a maintainable system future proofed for business continuity. Additionally, Prabhakar will cover the full scope of what a transformational challenge this situation provides and the operating model to implement this challenge and generalize the approach to Product and Service companies.
Agenda:
- 11:30-12:30pm: Featured Presentation
- 12:30-13:00pm: Your Q&A and interaction
About Data for AI:
The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI. Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​
