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Technology Provider: Automated Insights is a provider of natural language generation platform, Wordsmith, that converts big data into narratives or summary understandable by humans

Heart disease is the leading cause of death in the United States and currently affects an estimated 28.4 million Americans. According to a report published by the American Heart Association, in 2016, the economic burden of cardiovascular diseases (category of heart and blood vessel diseases) totalled $555 billion and is projected to reach $1 trillion by 2035.  

Episode summary: This week, AI in Industry features Dr. David Franke, Chief Scientist at Vast. David talks about how AI can work with scarce transaction data to derive meaningful analytics for big purchases, such as cars and houses. He elaborates on how the AI can glean information from user interaction and marketplace data to provide customers with the relevant product fit, deals and recommendations on big purchases. He also discusses the future trends and business benefits for early adopters of AI for purchase recommendations of high-cost items. 

The recent renaissance of machine learning promises to transform the data-rich world of healthcare, and there are hardly any healthcare segments more excited than the pharmaceutical industry.

Professor Jonathan Tapson is Director of the MARCS Institute for Brain, Behavior & Development at Western Sydney University in Australia. He holds a PhD in Engineering from the University of Cape Town in South Africa. Professor Tapson's recent research has recently lead him to apply neural networks to problems in finance. See our partnership and thought leadership publishing options on our Emerj partnerships page.

Technology Provider: Ayasdi
User Company: HSBC Bank
User Company Description: HSBC Holdings is a British multinational banking and financial services holding company, with offices all over the world and over 200,000 employees.
Industries: Finance
Applications: Financial Risk

Diabetes is a leading chronic disease that affects more than 30 million people in the United States. The disease results from high blood glucose (blood sugar) due to an inability to properly derive energy from food, primarily in the form of glucose. Insulin is a hormone that normally helps process glucose in the body. However, in the case of diabetes, insulin is inadequate (Type 2 diabetes) or obsolete (Type 1 diabetes).

Episode Summary: This week’s episode covers the medical applications of machine vision for the diagnosis and treatment of cancer. Medical science has integrated AI since the late 90s, and it’s been useful in the fight against cancer. This week’s guest is Dr. Alexandre Le Bouthillier, founder of Imagia. Imagia is a medical imaging company which specializes in using AI and machine learning to detect cancer in its early stages so that oncologists can make quicker, more accurate diagnoses for patients.

Artificial intelligence and machine learning adoption among different industries represents a new chapter in digital transformation. However, according our own research across industries, AI adoption in 2017 remains low with majority of major success stories coming only from the largest tech players in the industry (Google, Baidu, Apple, etc). McKinsey Global Institute estimates that in 2016, tech giants invested $20-30 billion into AI, while smaller companies altogether invested an estimated $6-9 billion.

Medical devices sector, part of the $3 trillion healthcare industry in the United States, is an area of growth and innovation where researchers and manufacturers are seeking to integrate accuracy with automation. According to the most recent data reported by SelectUSA, (a program within the International Trade Administration at the U.S. Department of Commerce), the United States held 40 percent of the $140 billion global medical device market in 2015.