Predictive Analytics World for Industry 4.0 2021
SAS Senior Data Scientist.
Robert is a Senior Data Scientist at SAS where he builds end-to-end artificial intelligence applications. He also researches, consults, and teaches machine learning with an emphasis on deep learning and computer vision for SAS. Robert has authored a book on computer vision and has developed several professional courses on topics including neural networks, deep learning, and optimization modeling. Before joining SAS, Robert worked under the Senior Vice Provost at North Carolina State University, where he built models pertaining to student success, faculty development, and resource management. Robert also started a private analytics company while working at North Carolina State University that focused on predicting future home sales. Prior to working in academia, Robert was a member of the research and development group on the Workforce Optimization team at Travelers Insurance. His models at Travelers focused on forecasting and optimizing resources. Robert graduated with a master’s degree in Business Analytics and Project Management from the University of Connecticut and a master’s degree in Applied and Resource Economics from East Carolina University.
Robert Blanchard is speaking in the following session:
Richard Boire's experience in predictive analytics and data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics.
His initial experience at organizations such as Reader’s Digest and American Express allowed him to become a pioneer in the application of predictive modelling technology for all database and CRM type marketing programs. This extended to the introduction of models which targeted the acquisition of new customers based on return on investment.
With this experience, Richard formed his own consulting company back in 1994 which is now called the Boire Filler Group, a Canadian leader in offering analytical and database services to companies seeking solutions to their existing predictive analytics or database marketing challenges.
Richard is a recognized authority on predictive analytics and is among a very few, select top five experts in this field in Canada, with expertise and knowledge that is difficult, if not impossible to replicate in Canada. This expertise has evolved into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia.
Within Canada, he gives seminars on segmentation and predictive analytics for such organizations as Canadian Marketing Association (CMA), Direct Marketing News, Direct Marketing Association Toronto, Association for Advanced Relationship Marketing (AARM) and Predictive Analytics World (PAW). His written articles have appeared in numerous Canadian publications such as Direct Marketing News, Strategy Magazine, and Marketing Magazine. He has taught applied statistics, data mining and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College, Seneca College, and currently Centennial College. Richard was Chair at the CMA's Customer Insight and Analytics Committee and sat on the CMA's Board of Directors from 2009-2012. He has chaired numerous full day conferences on behalf of the CMA (the 2000 Database and Technology Seminar as well as the 2002 Database and Technology Seminar and the first-ever Customer Profitability Conference in 2005. He has most recently chaired the Predictive Analytics World conferences in both 2013 and 2014 which were held in Toronto.
He has co-authored white papers on the following topics: "Best Practices in Data Mining" as well as "Customer Profitability: The State of Evolution among Canadian Companies." In Oct. of 2014, his new book on "Data Mining for Managers-How to use Data (Big and Small) to Solve Business Problems" was published by Palgrave Macmillian. In March of 2016, Boire Filler Group was acquired by Environics Analytics where his current role is senior vice-president of innovation.
Richard Boire is speaking in the following session:
Head of Machine Learning for Corporate Engineering
Rich Dutton is the Head of Machine Learning for Corporate Engineering at Google, where he leads a team of 15 engineers and data scientists across NYC and Austin. Prior to this role, Rich was a tech lead in Bigtable at Google following a 15 year career working in data and analytics across both tech and finance in the US (New York and Seattle), Europe and Asia.
Richard Dutton is speaking in the following session:
John Elder Ph.D.
Founder & Chair
John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.
John Elder Ph.D. is speaking in the following session:
A Software and AI enthusiast, Rishabh Gaur works as a Technical Architect at Microsoft Technology Center, where he works on advancing Microsoft's world view of Intelligent cloud and Intelligent Edge to our customers and partners. While working as a cross-domain architect, Rishabh specializes in Microsoft Power Platform, Azure IoT and Azure App Dev related service offerings. Albeit quite young, he carries significant expertise in setting up and working with global teams to deliver value for business by providing robust solutions and right technology choices. So much was his impact in a short span that at the completion of year 1 in industry, he was awarded with the prestigious Techie Award for Data & AI from Microsoft. In his day to day role, he acts as a strategy leader and a digital advisor for many global and regional customers for Microsoft.
Rishabh Gaur is speaking in the following session:
Vladimir Iglovikov Ph.D.
Senior Computer Vision Engineer, Level5, Self-Driving Division
Vladimir Iglovikov Ph.D. is speaking in the following session:
HPC practioner/Training Specialist
Sharan Kalwani has been working in the manufacturing world in using HPC for accelerating simulation designs of engineering processes.. He was also the Subject Matter Expert and Project lead at hpcexperiment.com (now UberCloud), working on helping to realize HPC in the cloud, several years before it finally took hold.With 30 years of experience in Scientific and Technical computing, Sharan has worked at numerous HPC industry leaders that include Cray Research, Silicon Graphics, Intel, etc. He has also spent several years in the industry at General Motors managing their global engineering HPC centers, as well as in the academic domain, helping to fulfill their research computing missions.Sharan is a member of the ACM, Senior member of IEEE, Computer Society, Society of Automotive Engineers. He also runs the popular discussion group ’Innovative Uses of HPC’ on Linked In. He has given numerous tutorials and talks at Supercomputing, European PRACE Consortium, IB Trade Association, IDC HPC user Forum and several other
Sharan Kalwani is speaking in the following session:
Head of Predictive Maintenance
Markus is a member of PARC’s Sr. leadership team. He brings 10+ years’ experience in corporate and startup innovation, and innovation partnership in the industrial and consumer sector. He is also an early stage tech enthusiast. Markus holds a M.Sc. in Industrial Engineering from Chalmers University of Tech.
Markus Larsson is speaking in the following session:
Director of Data Science and Analytics Business Solutions
Allan has been a data storage industry professional for 20 years. He held positions in different disciplines at Seagate from research, engineering, product development, operations, quality, customer experience engineering and analytics. He currently lead and manages analytics teams in the US, Singapore, Thailand and China. His teams work with different organizations at Seagate and are responsible for analytics solutions research, development and deployment.
Allan Luk is speaking in the following session:
Senior Data Scientist
Jaya Mathew is a Senior data scientist at Microsoft where she is part of the Artificial Intelligence and Research team. Her work focuses on the deployment of AI and ML solutions to solve real business problems for customers across multiple domains. Prior to joining Microsoft, she has worked with Nokia and Hewlett-Packard on various analytics and machine learning use cases. She holds an undergraduate as well as a graduate degree from the University of Texas at Austin in Mathematics and Statistics respectively.
Jaya Mathew is speaking in the following session:
One of the founders of DataCrunch Lab, Mr. Montalvo has a bachelor's degree in Computer Engineering from the University of Puerto Rico. He has more than 20 years of experience developing enterprise software technology for companies including IBM, Ericsson, Alcatel Microelectronics, VMware, BlackBerry, Qualcomm, and Cisco.
Rob Montalvo is speaking in the following session:
Dr. Zeydy Ortiz is the co-founder & CEO of DataCrunch Lab, LLC. She has been helping teams and organizations transform data into value across many industries including IT, financial, retail, and the manufacturing sectors. Her team built an innovative, award-winning digital assistant that was recognized as 'Highest Potential Value to Manufacturers' for increasing visibility of real-time production and plant operations.
She started her career as a Performance Engineer at IBM building predictive models to inform business strategy. She worked on multiple projects focused on improving performance & efficiency. She earned recognition for innovation on Smarter Planet/IoT solutions and for her industry contributions defining resource efficiency metrics. Dr. Ortiz obtained her bachelor's degree from the University of Puerto Rico, master's from Texas A&M University, and Ph. D. in Computer Science from North Carolina State University.
Zeydy Ortiz is speaking in the following session:
David Pendleton, has data analytics experience for the reliability of industrial sized applications with General Electric Power. David has been a data scientist for GTRI in ICL with continued experience in predictive maintenance solutions for GTRI’s customers. He has developed a predictive deep neural net solution for the USAF in the Virtual Sensing Technique for Accelerometer Reconstruction. David is also has a lead development role in the Tesseract project assisting the USAF with predictive maintenance solutions for their C-5 aircraft fleet.
David Pendleton is speaking in the following session:
Director of UK Operations
Ramon Perez leads the Elder Research London office. A decorated war veteran, Major Perez served as an Air Force Intelligence Officer specializing in Signals Intelligence. As a mission director at the National Security Agency, Ramon led teams analyzing enormous data sets to produce actionable information in support of worldwide contingency operations–including deployments to Iraq, Afghanistan, and South America in support of Special Operations. Upon leaving the military, Ramon returned to graduate school with an interest in understanding economic models and became an Elder Research data scientist focused on building machine learning models to detect financial crime. He has since taken a leadership role and his team has been modeling risk within power production systems. Ramon holds a Bachelors degree in Systems Engineering from Georgia Tech as well as Masters degrees from Harvard and Georgetown in Finance and Economics, respectively.
Ramon Perez is speaking in the following session:
Deep Learning Engineer
Suhas Pillai is a Deep Learning Engineer at Center for Deep Learning in Electronics Manufacturing (CDLe). At CDLe, his work focuses primarily on applying deep learning in semi conductor manufacturing, where there is data scarcity. His work at the Center has demonstrated that using synthetic data can leverage the potential of applying deep learning in areas where there is a dearth of data. In the past, he has worked in applying deep learning in Speech recognition, NLP and Computer Vision domains. He was associated with couple of startups, where he was responsible for developing Deep learning algorithms for detecting objects in satellite imagery and creating cognitive search engines. He holds a Masters in Computer Science from Rochester Institute of Technology.
Suhas Pillai is speaking in the following session:
Senior AI Architect
Kumaran Ponnambalam has been working with data for more than 20 years. Data has always intrigued Kumaran and he has always searched for ways to mine, manage, and master it. Using analytics to solve business problems is his key interest domain. He has successfully built and deployed data pipelines and machine learning models in the Customer Experience domain. He is also actively teaches courses on LinkedIn Learning (https://www.linkedin.com/learn... ) in the Big Data / Predictive Analytics domain.
Kumaran Ponnambalam is speaking in the following session:
Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.
In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.
Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.
Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.
Steven Ramirez is speaking in the following session:
Vice President I4.0 Applications & Analytics
Paul leads Stanley Black & Decker's global strategy and efforts in leveraging Industry 4.0 Applications & Advanced Analytics to drive operational performance improvements as part of Industry 4.0 and the digital transformation of manufacturing. Touching over 40,000 employees and over 120 factories worldwide he is responsible for driving millions of dollars in value by leveraging the transformative capabilities of artificial intelligence, machine learning and advanced analytics in manufacturing.
Paul Turner is speaking in the following session: