About ItSeemstoMe

ItSeemstoMe is my personal blog and newsletter. It is for business decision makers and is about disruptive technologies. I mostly cover Immersive Technologies such as AR and non-gaming VR as well as AI-powered products such as autonomous cars, robots, chatbots, drones and wearable tech. I am always looking for a good story and if you have one, we should talk.

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ISTM #12: How Two Otter Encounters Inspired Me to Change My New AI Book

Last week, I interviewed an AI startup named AISense whose single product, Otter Voice Notes, a cloud-based platform, seems to me to have as many uses as Word does. It records conversations of almost any length between multiple people with uncanny accuracy and speed.

Start with the billion-dollar transcription industry that serves medical procedures, legal testimony and depositions, then move into all forms of education and training, and there’s the foundation for a big business opportunity. Add to that all your business meetings and Zoom video conversations. Take all the time required to turn talk into text, correct the invariable typos and homonyms, delete “um’s” and so on. Eliminate the time and expense of turning spoken words into accurate text, and I think you will see how such technology can change your life.

It turns out there are already 13 AI Speech startups: almost all have technologies in the market and such competitive markets invariably accelerate innovations while keeping prices low. AISense is the apparent leader right now and seems to be well-positioned to maintain that lead. Whether or not it does, users still win because this level of competition usually leads to rapid innovation and refinement. Otter provides users 600 free minutes a month and the platform allows users much longer recording periods, so that you can automatically record 10 hours of conference presentations if you wish.

For me, there was another revelation: Otter.ai changed the actual dynamics of my meeting with its founders. Because I trusted their tech to take notes, I could enjoy a more immersive and authentic face-to-face interaction with co-founders Sam Liang and Yun Fu and JD Lasica, my friend and fellow author, who was also present.

Otter produced an entirely more comprehensive transcript than I ever could have otherwise accomplished, and the tags produced let me find what I needed afterward with great speed. This is AI Augmentation at its best: the humans get to do humanly interactive things, while Otter tirelessly takes notes.

Liang and Fu explained how Otter’s AI can extract conversation summaries with bulleted key points and action items. It will use social graphs to see the relationships between conversation participants and can detect emotions. My talks with the Otter guys have excited me for other, more personal, reasons. They have to do with Augmenting People: Why AI Should Back Us Up, Not Push Us Out.

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ISTM #8: Autonomous Cars: Sully’s Worried. Maybe You Should Be Too.

There are two long-standing schools for the role of Artificial Intelligence. The first is Autonomy, where AI devices and systems simply replace us. The second is Augmented, where AI serves us as a new toolset: I favor the toolset approach and am writing Augmenting People: Why AI Should Back Us Up, Not Push Us Out to explain why you should be concerned as well.

Ultimately, decisions made today between AI augmentation and autonomy will shape the future of the human race. Over the next 10-15 years,  this choice will restructure our relationships with machines, each other, the planet and the universe. Right now some of the smartest technologists in the world, working in some of the best established and most promising tech companies in the world, are inventing ways for AI to do everything from nanobots that will swim through our blood zapping cancer cells to cars that are so autonomous that they are outfitted without steering wheels and with fold-out beds for a good snooze.

You’ve already read about the cars and how great they will be. In the autonomy/augmentation debate, it seems the decision has already been made, robotic cars will prevail. The government, insurance carriers, and even car-makers are just about unanimous that these vehicles are safer and far less polluting. A younger generation seems to prefer self-driving to their parents’ preference for being behind the wheel and in control.

Just about every automaker is moving toward what is called Level 6 Autonomy, which means the driving machines do it all while humans do whatever they please. Volvo is even designing a sleeping car because passengers need to do nothing but get inside the car and tell it a destination.

There are mountains of data arguing the case for automobile autonomy. Millions of miles have been logged by traditional and new automakers with very few mishaps and only two fatal accidents—both blamed on distracted humans who made fatal errors.

Cases like this sound pretty compelling. Data is the protoplasm that makes AI seem, well, intelligent. The stats argue that if we remove humans from the loop, lives will be saved, pollutions will be reduced, existing roadways can be retrofitted to enable more cars to use existing infrastructure at higher speeds and travel time will be reduced.

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