The AI Talk Show

Asha Saxena talks with Adam Kiefer, Director of TEAM VR (Training Enhancement and Analysis of Movement Virtual Reality) Laboratory at Cincinnati Children’s Hospital Medical Center, about the emerging use of Artificial Intelligence in sports medicine.

Deep learning is rapidly becoming an indispensable data tool in the world of sports. Deep Learning, a subset of AI focused on recognition and reinforcement learning, is being used in athletics to gather valuable information that can be used by medical experts to better understand sport-related injuries and develop new therapies. Deep Learning applications are being trained on large sets of data and then used to derive strategic insights into areas such as player capability, team tactics and injury management.

AI can be used in sports medicine for treating injuries, but more importantly it is an emerging technology in the effort to predict and prevent injuries altogether. Learn more on today’s podcast.

What you’ll learn about in this episode:

• Why Adam Kiefer is the “go-to” person to speak with about AI and machine learning in medicine
• Why concussions are difficult injuries for physicians to understand, predict, and personalize treatment
• Why analyzing real-time data sets is challenging for physicians and how machine learning and virtual reality can help
• How machine learning and VR overlap to assist in treatment and rehabilitation of injured athletes
• How Adam’s hospital has made strides in developing their AI and machine learning program in the past 18-24 months
• How the Virtual Reality Laboratory has worked to assist Cincinnati Children’s hospital improve the treatment and prevention of injury
• How Augmented Reality has become a crucial tool in simulations that allow very detailed data to be collected
• What lessons Adam and his team have learned from integrating machine learning and VR into their research work
• Why Adam is excited about the potential that Augmented Reality and machine learning have to advance the personalization of care
• Adam’s advice for people who are interested in the role of machine learning and VR in data analytics

Ways to contact Adam:

• Twitter: @awkiefer
• LinkedIn: www.linkedin.com/in/adamwkiefer

Asha Saxena explores data and analytics governance with Isaac Wagner, Director of the Strategic Analytics group at Memorial Sloan Kettering Cancer Center in New York, a state-of-the-art cancer treatment facility using cutting-edge innovations to treat all kinds of cancer.

In this episode, Isaac Wagner discusses the importance of having a solid governance structure, the difference between data groups and analytics groups, and how data can be utilized to inform decision-making and problem-solving within a business.

Governance is all about behavior. Workforce skills, technology, and organizational models are aligning to ensure that the data available to a business is factual and consistent. Learn more on today’s podcast.

What you’ll learn about in this episode:

• How data groups are responsible for collecting facts and statistics and organizing the data for use and review
• How analytic groups review data and use it to answer questions and make business decisions
• Why the Strategic Analytics group falls under the strategy heading instead of IT at Sloan Kettering and the advantages that arrangement offers
• What unconventional methods Isaac uses to mentor and train his team to better serve the business
• Why analytics governance is as important as data governance and why governance is crucial for ensuring consistency
• Which best practices are key to analytics and the effective utilization of resources
• How Sloan Kettering has transformed data analytics by incorporating programming code
• What challenges Isaac faces in the implementation of unified analytics standards throughout his organization
• Why it’s important to understand, define, and clearly state the impact of a project’s outcome
• Why the role of analytics is understanding the problems of a business and how they impact its long-term objectives

Ways to contact Isaac:

• LinkedIn: www.linkedin.com/in/isaac-wagner-4502663

Asha Saxena speaks with Boris Kerzhner, the Chief Data Scientist at BookXchange, a business specializing in purchasing and sales of textbooks to students and wholesalers worldwide. Boris was tapped to run the retail arm of the business, and he uses game theory and data to help make buying and selling decisions to dramatically increase the profitability of BookXchange.

Game theory deals with the understanding of strategic situations. Its purpose is to find an optimal solution to a given situation. Game theory can be used for investing, customer engagement, product placement, and many other varied business applications across many industries.

Big data analytics is one of the core technologies used by businesses in today’s ever-evolving marketplace for decision making and game theory application. Learn more on today’s episode.

What you’ll learn in this episode:

• How BookXchange differentiates itself from other companies in the college textbook space
• How Boris leveraged his background as a mathematician to convert the principles of game theory into his career as a data scientist
• How Boris uses game theory to identify his competitors’ prices for textbooks to maximize ROI and profitability on his own sales
• How machine learning and artificial intelligence are challenged by the unique properties of the textbook sales business
• What tools Boris finds most useful for pricing and selling textbooks on Amazon
• Boris’s advice for starting to learn and utilize game theory, AI, and machine learning tools
• How Boris obtains, analyzes, and uses the information he gathers from competitor product listings
• Boris’s advice, thoughts, and recommendations for people who are interested in using data in their own business

Ways to contact Boris:

• LinkedIn: www.linkedin.com/in/boris-kerzhner-67b85717

Asha Saxena speaks with Diwakar Goel, Chief Data Officer for GE Digital. Diwakar has been with GE for thirteen years, through eight different positions within the organization. Through all his varied roles at GE, he has experienced firsthand the power of data management in transforming his business to meet the challenges of the modern, information-driven technological era.

In this episode, Diwakar Goel discusses navigating and leveraging the immense amounts of data available to companies today and understanding how the data sets interact and overlap to drive profitability and solve problems.

Data management is one of the most integral skills businesses must learn to navigate the new challenges and opportunities promised by the technological advances of the new millennium. Learn more on today’s podcast.

What you’ll learn in this episode:

• How Diwakar Goel moved through various tech positions within GE and became their Chief Data Officer
• The difference between using an outcome-based approach and a domain-based approach to solve problems
• How new advances in realtime data, AI and machine learning have altered the way businesses can use and disseminate data
• Why the finance sector has been one of the biggest historical drivers of data usage, and why the future of data goes beyond finance
• How Big Data is using automated algorithms to help customs personnel streamline their import categorization efforts
• How machine learning can be an amazing tool to assist the banking industry in their decision-making processes
• How entrepreneurs can get started in harnessing the power of data to grow their businesses
• Examples of how Big Data has most impacted his organization for the better, in both operations and management
• Why Diwakar believes we need to view governance in a different light to improve data management rules
• Why it’s important to be willing to take risks, have fun, and value the contributions of your team

Ways to contact Diwakar:

• LinkedIn: www.linkedin.com/in/diwakargoel

Asha Saxena discusses the importance of data in the rapidly changing healthcare industry with guest Vijay Venkatesan, Chief Analytics Officer of Horizon Blue Cross Blue Shield of New Jersey.

In this episode, Vijay Venkatesan discusses how consumer expectation of healthcare is shifting, why the relationship between providers, patients and payers needs to evolve, and how advances in technology have the potential to reshape healthcare to the benefit of everyone involved.

New technologies in computer science and data analytics can be powerful tools, but only if they are used to answer the right questions.

What you’ll learn in this episode:

• How Vijay’s career journey has taught him lessons about the use of data and its application in healthcare
• How the healthcare industry is using data to adapt to today’s market and legal realities
• The challenges and opportunities of collecting and sharing data within the healthcare industry
• How new technologies such as AI and deep learning have the potential to change the way data can be gathered and utilized
• Why data technology needs to be used in the service of benefiting patients
• Which potential applications for decision automation present the greatest opportunities within the healthcare industry
• Steps you can take to best understand the role of data analytics in your own business
• Why the difficulty of predicting human behavior is the most challenging problem data analytics must solve
• Which changes and opportunities in healthcare data Vijay believes will take place in the next decade
• Why “listening to understand” is the key to solving problems and making an impact within your organization

Ways to contact Vijay:

• LinkedIn: www.linkedin.com/in/vijaybvenkatesan