2020 Keynote Speaker
Ben Amaba, PhD, PE, CPIM®, LEED® AP
Chief Technology Officer for the Industrial Sector
IBM Data Sciences and Artificial Intelligence Team Elite
The Rapid Democratization and Integration of Data with Simulation, Optimization and Artificial Intelligence
Many CEOs, CTOs, senior executives, and other decision-makers are seeing an advantage from the rise of big data and faster computing power. Data is now a board responsibility. The question arises: How can all this data drive innovation? Being able to harness the power of data through simulation, optimization, artificial intelligence (AI) and machine learning (ML) can help to improve financial, sales, manufacturing and supply-chain operations; enable a better, more intimate customer experience; or reduce downtime if done correctly. Waiting for the perfect environment is no longer a strategy, but an agile learning culture is the priority.
With open source, hybrid clouds, high speed networks, increased computing power, and responsive platforms; simulation, optimization, AI and ML are being democratized and intertwined at a rapid pace. McKinsey estimates that AI could potentially deliver additional economic output of around $13 trillion by 2030, boosting global GDP by about 1.2 percent a year. Advancements in computing power and open source technologies have become a competitive advantage of day-to-day business by fundamentally improving the way the industry operates. Recent progress seeks to radically change our operations and workflows. To enable and maximize the creation of value, the integration and utilization of these data science technologies coupled with a rigorous approach is required. The overhead of data preparation, model governance, bias, trust, and deployment continue to inhibit democratization. The shortage of talent to promote and apply the interdisciplinary computer, mathematical and domain knowledge places many projects in pilot purgatory. The session will explore the future of the Digital Transformation and the use of advanced analytics to create an integrated business model where data becomes more than just a single source of truth, but a strategic asset.