AI Articles and Analysis about Business intelligence and analytics

The application of robotics in surgery has steadily grown since it began in the 1980s. In contrast, the integration of artificial intelligence in this sector is still fairly new. As promising applications, predominantly in the research and development phase, begin to the surface we aim to answer the important questions that business leaders are asking today:

The K-12 online tutoring market is a growing sector and is projected by market research firm Technavio to reach $120.67 billion by 2021. Growing numbers of students are taking college entrance exams such as the SAT and tutoring industry giants such as Khan Academy are helping students meet their test prep goals.

Mining is a major worldwide industry producing everything from coal to gold. According to a PWC annual report, the top 40 mining companies have a market capitalization of $748 billion as of April 2017. The industry as a whole saw a slump in 2015 but since then the sector has recovered due to rising commodity prices.

Episode summary: This week on AI in Industry, we speak to Paul Barba (Chief Scientist at Lexalytics) about what how companies are using natural language processing, and what it takes (in terms of expertise, time, and training) to get these systems working. From sentiment analysis to categorization, Paul walks us through interesting and fruitful use-cases and sheds light on the back-end "tweaking" required to keep NLP productive in a changing business environment.

Artificial intelligence is gaining traction in the agricultural industry and is steadily being integrated in robotics developed for this sector. As automated technologies penetrate the market, we aim to answer the important questions that business leaders are asking today:

Agriculture is both a major industry and foundation of the economy. In 2016, the estimated value added by the agricultural industry was estimated at just under 1 percent of the US GDP. The US Environmental Protection Agency (EPA) estimates that agriculture contributes roughly $330 billion in annual revenue to the economy.

Episode summary: In this episode, we talk to Murali Aravamudan, Founder and CEO of AI-driven drug discovery startup Qrativ, a joint venture by the Mayo Clinic and biotech/data science firm nference. Murali and I discuss the surge of medical information and data in the medical industry, the role of artificial intelligence in developing drugs for treatments to various diseases, and the future of AI in drug discovery.

Discovering a new drug is a long, expensive and often haphazard process. Thousands of compounds are subject to a progressive series of tests, and only one might turn out to be a viable drug. Any tool which can speed up just one of these steps in this long multi-step process would have big implications down the entire chain. This is why some of the largest pharmaceutical companies are turning to AI to help the process.