There’s never a dull moment in Las Vegas, and this summer will be no exception.
From June 16 – June 20, data scientists, industrial planners, and other machine learning experts will head to the iconic Caesar’s Palace in Las Vegas for Predictive Analytics World for Industry 4.0 (PAW). Interested in machine learning, smart manufacturing, and IoT? PAW provides an excellent opportunity to gain valuable insights on latest trends and technologies in machine & deep learning for the IoT era.
Steven Ramirez, CEO of Beyond the Arc, as the 2019 Program Chair and a PAW Industry 4.0 Blog Partner. Steven has shared his insights at PAW since its founding year in 2009 and possesses more than 10 years of experience in the field. In this role, he will focus the conference on how machine learning and predictive analytics enable IoT devices to gather and analyze data to improve productivity, efficiency, and service reliability.
This year’s conference features a star-studded lineup of speakers, which includes experts from leading enterprises such as Apple, GM, Intel, Uber, and more.
Notable Predictive Analytics World keynotes include the following:
Mohammad Shokoohi-Yekta, Senior Data Scientist, Apple – Silicon Valley’s Hottest Cross-Sector Applications of Deep Learning
A veteran applying deep learning at the likes of Apple, Samsung, Bosch, GE, and Stanford, Mohammad Shokoohi-Yekta kicks off Mega-PAW 2019 by addressing these Big Questions about deep learning and where it’s headed.
- Late-breaking developments applying deep learning in retail, financial services, healthcare, IoT, and autonomous and semi-autonomous vehicles.
- Why time series data is The New Big Data and how deep learning leverages this booming, fundamental source of data
- What’s coming next and whether deep learning is destined to replace traditional machine learning methods and render them outdated
Steven Ramirez, CEO, Beyond the Arc – Predictive analytics and machine learning in the utility sector: accelerating progress and overcoming roadblocks
The utility sector faces unique challenges: maintain reliability of service, reduce operating costs, improve customer experience — just to name a few. Machine learning offers new ways of addressing these critical issues.
Irene Petrick, Senior Director of Industrial Innovation, Intel – Making Sense and the Edge The Changing Relationship Between Humans, Machines and Data
AI is framed by models, sensors and technologies. These often ignore the human who must deal with and trust AI outputs. How do we translate the mental models and senses that humans deploy daily into algorithms that take us from data to inference to action? With the explosion of sensors at the edge, how do we actually make sense at the edge? This presentation draws from a recent Intel study of over 250 people in manufacturing and its supporting ecosystem to explore what it takes to accelerate the adoption of Industry 4.0 in a systems of systems approach.
Jack Levis, Senior Director of Process Management, UPS — The Road to Optimization- Behind the Scenes
Turning data into a business advantage through optimization is the goal of most organizations. UPS has been on a twenty year journey to achieve this goal and has seen cost improvements reaching $1B annually. At the same time, UPS has been able to offer new products and services backed by data and analytics.