Operators

AI & ML

It can take dozens of back-and-forth emails just to set up a quick meeting. Now, an artificial intelligence personal assistant can do it for you. Dennis Mortensen, CEO of x.ai, explains why you shouldn’t be afraid.

Goodbye to Personal Assistants

In science-fiction, you’ll encounter a lot of computers that can feel... HAL 9000, Deckard, WALL-E. But what about computers that can really sense your emotions? MIT Professor Rosalind Picard takes a look at this artificial-feeling future.

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Computers that Know You're Mad

In this episode we were joined by Josephine Goube, Director of Partnerships & Communications at Migreat. She discussed her background, how she became involved in making immigration easier for companies, discussing Entrepreneur Visa options available to set up a business in the UK.

Listed as one the top 35 women in Business in Britain in 2015 by Management Today, Joséphine currently heads Migreat, the fastest-growing global platform for migrants to get access to information and immigration support. She previously worked at TechStars London and Rainmaking, co-founded the London School of Economics Business Incubator & graduated from the New Entrepreneurs Foundation.

Josephine Goube, Director of Partnerships & Communications at Migreat

In this episode we were joined by Dan Appelquist, Startup ambassador at The Open Data Institute. After discussing his background, Dan talks about Internet of Things, Privacy, and Open Data, giving insights in to how companies should explore data in a new way.

Daniel Appelquist works with the Open Data Institute startup program and the Open Data Incubator for Europe to build bridges with the startup and entrepreneurial community across Europe. Dan is a Mobile and Web industry veteran technologist who has been bringing innovative and disruptive services to market for two decades. He was an early Internet and Web pioneer, and has been a dot-com CTO and later a dot-com refugee. He helped to launch Vodafone Live! in the UK and has been instrumental in the development of industry standards initiatives and ventures such as dotMobi, the W3C Mobile Web Initiative, and device APIs such as the W3C Geolocation browser API. He has been a community instigator, founding MobileMonday London, as well as the Mobile 2.0 conference series in San Francisco and the Over the Air hack days in the UK. He worked as Open Web Advocate for Telefónica Digital and with Mozilla to bring FirefoxOS to market and build the ecosystem around HTML5.


Dan Appelquist, The Open Data Institute

What is A.I. or artificial intelligence but the 'space of possible minds', argues Murray Shanahan, scientific advisor on the movie Ex Machina and Professor of Cognitive Robotics at Imperial College London.

In this special episode of the a16z Podcast brought to you on the ground from London, Shanahan -- along with journalist-turned-entrepreneur Azeem Azhar (who also curates The Exponential View newsletter on AI and more) and The Economist Deputy Editor Tom Standage (the author of several tech history books) -- we discuss the past, present, and future of A.I. ... as well as how it fits (or doesn't fit) with machine learning and deep learning.

But where are we now in the A.I. evolution? What players do we think will lead, if not win, the current race? And how should we think about issues such as ethics and automation of jobs without descending into obvious extremes? All this and more, including a surprise easter egg in Ex Machina shared by Shanahan, whose work influenced the movie.

a16z Podcast: Artificial Intelligence and the 'Space of Possible Minds'

Keith Wallington, Expert in Residence for Seedcamp and ex-Chief Group Officer of Mimecast, joins Carlos for this Podcast to explore key lessons learned from his experience helping operationalise businesses as a mentor, and internally at Mimecast through his multiple C-level roles. Looking at how these processes can be implemented in different organisations for their own benefit.


Keith Wallington, Expert in Residence, Seedcamp

Everyone’s talking about machine learning and how it can be applied to solving some of today’s top business problems. CTOs know that it’s becoming an imperative for building successful software products. But is it really the answer and, if so, how can companies over come the many execution gaps that exist? In this first episode of a two-part series, Georgian Partners’ Madalin Mihailescu talks with Jeremy Barnes, the Founder and CEO of Datacratic to get some unique perspectives about both the technological and business sides of machine learning.

You’ll hear about:

-Jeremy’s definition of machine learning (5:42) 
-The other areas of pattern recognition fall under machine learning (6:46)
-Why businesses should care about machine learning (9:17)
-How machine learning is evolving as a tool for solving business problems (12:45)
-Realistic applications for machine learning today versus expectations (13:39)
-The complexities of applying machine learning (16:27)
-The current state for ensuring model quality in production (19:16)
-Incorporating safe guards into systems (21:12)


Episode 11: Machine Learning Realities and Opportunities with Jeremy Barnes (Part 1)

Will Herrmann, Head of Commercial Operations for Hassle.com, joins Seedcamp's Dave Haynes in this podcast which follows Hassle.com's recent exit, having been acquired by Helpling. Following a session with some of our startups, Will discusses everything from scaling company operations following Hassle.com's Series A round to valuations and M&A.

Will Herrmann, Head of Commercial Operations, Hassle.com

Dimitar Stanimiroff, Managing Director of Stack Overflow Developer Insights at Stack Overflow, a Q&A site for programmers with over 4 million members, joins Carlos and Dave for this deep dive into hiring. 

Discussing everything from the hiring process, how to overcome challenges, hiring from within, and how to recruit technical talent if you're not technical.

Dimitar Stanimiroff, Managing Director, Stack Overflow Developer Insights at Stack Overflow

Big data, argues Kenneth Cukier, senior editor for data and digital at The Economist, is epoch defining: the ability for humans to store and transmit information at a scale previously inconceivable will transform ‘how we work, live and think’ – much as fire, bronze and the paper press revolutionised earlier societies. But how should we respond to the economic dislocation AI will produce in conjunction with big data?

Kenneth’s career in journalism is a distinguished one. The co-author of the New York Times Best Seller “Big Data” (2013) he manages new digital product development and oversees data analytics for The Economist. Prior to this, Kenneth served as technology editor of the Wall Street Journal Asia and also worked at the International Herald Tribune in Paris. In 2002-04 he was a research fellow at Harvard’s Kennedy School of Government.

Speaking with Seedcamp partner Carlos Espinal, Kenneth claims that information has gone from ‘a stock to flow’. Instead of being stored in fixed media – such as clay discs 4,000 years ago – data is now liquid and dynamic. The application of machine learning techniques and algorithms to such data lets us do things once impossible, such as build self-driving cars or diagnose diseases at a far earlier stage. But, he cautions, ‘it is the mark of an unwise society’ and close to criminal that we are not properly sharing data in spheres such as healthcare.

Listen to understand how we can learn from the information we collect, what change needs to materialise before we feel AI’s effect in proper, and how to respond to the job displacement that AI will bring about.

Show notes: 
Carlos Medium: sdca.mp/2entVR3
Seedcamp: www.seedcamp.com
The Economist: www.economist.com
Kenneth’s TED Talk: https://www.youtube.com/watch?v=8pHzROP1D-w 

Related bio links: 
Carlos: linkedin.com/in/carloseduardoespinal  / twitter.com/cee
Kenneth: cukier.com / twitter.com/kncukier

Kenneth Cukier, Senior Editor at The Economist on machine learning & big data

This Much I Know is the podcast from Seedcamp, Europe’s seed fund.

Tune into hear the inside story from startup founders, investors and leading tech voices: the people who’ve built businesses, scaled globally, failed fantastically and learnt massively.

Seedcamp invests early in world-class founders attacking large, global markets and solving real problems using technology. Seedcamp provides the infrastructure to fast-track a founder’s vision and create value through immediate access to smart capital, a lifelong community of support and a global network built upon a decade’s experience backing exceptional talent.

Kenneth Cukier, Senior Editor at The Economist on machine learning & big data

The Seedcamp Podcast