I believe, over time, the entire profession of media buying will be obliterated. Algorithms will do all the work. This is one of the sectors most vulnerable to be entirely automated by AI. Or Shani speaks on the theme and provides a great example of what is already happening.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as your company. Tell us a bit about both.
Or Shani: I started off in marketing almost 10 years ago in the lowest position possible. Then I worked my way up and became a data scientist at a number of companies mostly working with big brands across various countries and continents. Everything was already digital at that time. By the time I decided to leave marketing, I was in a VP Marketing position. I was in charge of huge advertising budgets and leading large teams across countries. >>>
On Friday, June 24, 2016, the world watched in horror as Britain voted to commit economic suicide as a nation.
On November 8, 2016, America will vote. Will it also commit economic and political suicide?
Increasing inequality is building up great stress in the world economic system. The disenfranchised masses are expressing their anger, including in irrational ways such as the Brexit vote.
The trends are worrisome.
There’s a lot of discussion in every media outlet right now about the impact of Artificial Intelligence, Machine Learning, Robotics, and over-automation. The Economist has an article titled Basically Flawed, Rethinking the Welfare State:
WORK is one of society’s most important institutions. It is the main mechanism through which spending power is allocated. It provides people with meaning, structure and identity. Yet work is a less generous, and less certain, provider of these benefits than it once was. Since 2000 economic growth across the rich world has failed to generate decent pay increases for most workers. Now there is growing fear of a more fundamental threat to the world of work: the possibility that new technologies, from machine learning to driverless cars, will cause havoc to employment.
There are two schools of thought on the subject, though.
According to MarketandMarkets, the artificial intelligence (AI) market is estimated to grow from $419.7 million in 2014 to $5.05 billion by 2020, growing at a CAGR of 53.65% from 2015 to 2020. The Media and Advertising sector is expected to drive the growth of AI during this period. IBM, Microsoft, and Google are key players in the market, and now Salesforce is trying to make inroads into it. >>>
Have you used Siri? Have you used Amazon’s Echo? Have you used any other natural language assisted personal assistant? The world of AI is rife with speculations on where this field is going, and this discussion is a wonderful expose on that topic.
Sramana Mitra: Let’s start by introducing our audience to Artificial Solutions and to the two of you. Tell us who you are, what your background is, and what Artificial Solutions is.
Andy Peart: I look after the marketing for Artificial Solutions. We’re going to double-act with my colleague, Andres. I’ll let him introduce himself.
Andreas Wieweg: I head the software development for Artificial Solutions. >>>
Learn how the airline industry is using Artificial Intelligence to market to their customers in context, with personalization.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Boxever.
Dave O’Flanagan: I’m the CEO and Co-Founder of Boxever. Our customer intelligence cloud powers one-to-one customer experiences for some of the biggest travel brands in the world including Emirates, TigerAir, and over 20 airlines around the world. We help them create unique differentiated experiences in the digital and the real world to help them personalize for each of their individual customers. We were formed in 2011. We’re about 70 people and we’re based in Dublin, Ireland. We have offices all over the world.
Sramana Mitra: Pick some of your customers and let’s do some use cases of exactly what these experiences look like and what you do to power these experiences. >>>
Using satellite images to predict trends is Orbital’s unique offering. Read on to see how they do it, and where they are finding applications.
Sramana Mitra: Let’s start by introducing our audience to you as well as Orbital.
Jimi Crawford: I’m originally a PhD in Artificial Intelligence. I spent the first part of my career doing relatively basic research in Artificial Intelligence. I had the opportunity, about 15 years ago, to move here to Silicon Valley to lead a team in robotics at NASA Research Centre where we had fantastic projects in schedulers for the Mars rovers and genetically-engineered spacecraft antennas. Of course, being in the middle of Silicon Valley, I eventually got opportunities in startups that couldn’t be turned down. >>>
Most of the Artificial Intelligence recommendation engines are based on clustering algorithms and a limited number of parameters. Nara Logics is pushing the envelope on releasing both constraints, and going to a more granular level of personalisation. Read on to learn more.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Nara Logics.
Jana Eggers: I’m the CEO of Nara Logics. I’m a mathematician and a computer scientist. I started in research and really enjoyed the business side of technology and science. I went into technology—most of the time, in emerging tech. That was my career. Nara and I found each other, I would say, because I was looking for an opportunity that married science and business. That was what I was excited about when I spoke with the team about the work they are doing in artificial intelligence, but also the neural science that’s behind the idea. >>>