This discussion explores Machine Learning apps in financial services.
Sramana Mitra: Let’s start by introducing our audience to yourself and Featurespace.
Dave Excell: I’m the Founder of Featurespace.
Sramana Mitra: What is Featurespace?
Dave Excell: Featurespace is a machine learning company on understanding and outsmarting risks. We use machine learning to >>>
In the One Million by One Million online curriculum, almost eight years ago, I decided to put in a line as a joke: “We’re working on a chip that can be implanted in your brain and it will transfer ALL the entrepreneurial knowledge from my brain to yours. However, this chip is not quite ready yet. So, in the meantime, please study the curriculum and learn the methodology of entrepreneurship that we have designed.”
Well, little did I know that this would cease to be a joke by 2018.
In fact, in the next decade or two, perhaps, this sort of implant will become the future of education.
Last week, I was on a panel at the Silicon Valley Directors’ Exchange (SVDX) on Robotics and AI: How will Boards Embrace Tomorrow’s Technologies?
One of the issues we discussed was what happens to displaced workers who lose their jobs to AI.
These days, Silicon Valley is not the darling of the world anymore. Rather, it is facing a techlash for all sorts of issues. The foremost among these is automation and the prospect of robots destroying the livelihoods of people en masse. Of Artificial Intelligence becoming a threat to humankind.
All over Silicon Valley, in Board Rooms and in private parties, the Future of Work is a much-visited topic. Almost every major company has an AI product or an AI-enabled process initiative under exploration. I have spoken with numerous entrepreneurs who actually have software products in the market that are replacing 4000-5000 jobs at each of their customer sites.
I did a startup in the area of Artificial Intelligence-driven Sales Prospecting in 1997. Much water has flown under the proverbial bridge. This discussion takes us to the state of the art, twenty years later.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to InsideSales.
Gabe Larsen: Thanks for having me. I run, what we call, InsideSales’ lab. That is our research and best practice group here at InsideSales.com. I’ve been with the company for five years in a variety of roles. Previous to InsideSales, I spent >>>
We saw Star Wars: The Last Jedi last week. It feels dated.
All these alternate realities are essentially religious stories, which is why they’ve achieved cult status.
I love Harry Potter. Some love Lord of the Rings. All good vs. evil stories in epic style.
I’m in the mood for post-religious stories.
The world isn’t black and white. It’s full of gray.
Aziz discusses the infrastructure necessary for brands to do sophisticated mobile advertising.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Sabio Mobile.
Aziz Rahim: I’m the CEO of Sabio Mobile.
Sramana Mitra: What do you do?
Aziz Rahim: Sabio Mobile has something called App Science. Our view is that App Science is a gateway into understanding a >>>
Microsoft, IBM, Google – they’re all building AI engines. Cognitive Scale has carved out a layer above them – a Middleware of sorts – that enables them to flexibly power applications in different categories. This is a very interesting positioning, and a story well worth reading for AI aficionados.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Cognitive Scale.
Akshay Sabhikhi: I’m the CEO of Cognitive Scale. We are a four-year-old company that was born in AI. We’re based out of Austin, Texas and have about 150 people. We are focused on making AI practical, real, and scalable for enterprises. This company started >>>