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Event Title: Artificial Intelligence - Reshaping National Security

Event Host: United Nations (UNICRI), Shanghai Institutes for International Studies

The business world has been talking about AI for several years now, and it's safe to say that it's reached a certain cultural moment among executives in areas like banking, insurance, and pharma. Government leaders have been much slower to start the conversation around the capabilities of AI, including the possibilities they offer to militaries and the ethical implications of AI when it comes to governance and the legal system.

Episode Summary: Many machine learning applications in business can be boiled down to some form of decision support. There are big decisions like deciding whether or not to merge or acquire another company, and there might be smaller decisions like whether or not a tumor has enough traits that make it seem like it's worth a surgical procedure or if it's worth leaving alone.

There are several companies claiming to offer AI-based medical transcription software, specifically speech recognition software, to hospitals and healthcare companies. We found that these solutions are intended to help hospitals and healthcare companies with medical transcription in different forms, transcribing speech into text in order to fill out and update patient medical records in electronic health record (EHR) and electronic medical record (EMR) databases.
Machine Learning for Medical Transcription - Insights Up Front
We can’t seem to find evidence that the prominent companies offering speech recognition software for medical transcription have what we would expect in terms of talent at their company, except for Nuance Communications. It isn’t clear how exactly their solutions could work without natural language processing, a kind of artificial intelligence. Nuance employs many data scientists with PhDs and Master’s degrees in computer science and hard sciences like physics. This is generally what we look for when it comes to vetting a company on their claims to leveraging artificial intelligence and cutting through the marketing hype we so often see on AI vendor websites.

Boeing offers a number of autonomous vehicles to the military, which it claims can help military operators effectively complete both routine and critical missions with less risk of endangering the lives of military operators. In 2017, Boeing Defense, the predominantly non-commercial division of Boeing that focuses on government contracts, reported 29.5 Billion dollars in revenue. This makes it the second largest defense contractor for the US military and the world. Boeing, established in 1916,  is a publicly traded company that employs over 120,000 people.

According to a 2017 report by the Financial Stability Board, artificial intelligence (AI) and machine learning firms managed assets of over $10 billion in 2017, with further growth projected in the next five years. The reasons for this are clear; AI can now present wealth managers with new capabilities to enhance and further personalize their services, at scale.

There are several companies claiming to offer AI solutions to healthcare companies, as we've explored extensively in our past reports. In this particular report, we focus on AI as it pertains to working with electronic health records (EHRs) and electronic medical records (EMRs). AI vendors offer solutions to hospitals and clinics with a variety of functions.

Episode Summary: This week, we're going to be talking about the defense sector. We interview Ryan Welsh, CEO of Kyndi, a company working on explainable AI. We focus specifically on the unique data challenges of the defense industry, as well as the general use case of AI in defense writ large. Many of the challenges that the defense sector has to deal with transfer to other spaces and sectors. Business leaders that deal with extremely disjointed text information, what is sometimes called "dark data," and information in various languages or different dialects, will be able to resonate with some of the unique challenges talked about in this episode, and maybe even gain some insights for how to handle them.

Event Title: NITI Aayog-ORF AI for All Conference

Event Host: NITI Aayog, Observer Research Foundation

We've seen a lot of what we call "fake AI rebrands" in the last 18 months, and I suspect that as long as AI is a buzzword, we will only see more and more of this. Business leaders are going to have to keep their eyes peeled for these kinds of companies in their midst.