AI isn’t always the right solution for a company (Jason VandeBoom, CEO and founder at ActiveCampaign)
While still in its infancy in B2B, AI has the potential to radically transform eCommerce from both an operational and buyer experience perspective (Ray Grady, President and CCO at CloudCraze)
Episerver found that more than 1/3 of consumers feel brands do a poor job of personalising the customer experience. AI-powered personalisation can give brands a leg up. (Ed Kennedy, senior director of commerce at Episerver)
Other leaders spoke about AI’s positive effect on customer service, inventory management, and more. A common theme that ran throughout was the impact AI can have on providing a personalised, targeted solution to the problem at hand, whatever that might be.
Despite their initial concerns about the cost of automation technology, one company deployed a collaborative robot with great success: Tennplasco, a small plastic fabrication company based in Lafayette, Tennessee.
Rethink Robotics’ Sawyer has been a huge help to the company. “We don’t have to worry about whether the shift will be staffed, and we can stop wasting our time and effort on trying to recruit nonexistent labor,” said Danny Rose, General Manager at Tennplasco. “Our customers, especially those in the automotive industry, trust us to support their businesses and meet their changing needs, but to do this, we need both workers and the technology to be innovative and nimble – Sawyer has made that possible.”
The ATG (Advanced Technologies Group) at Uber is working hard on self-driving tech. Earlier this year, the Data Visualisation Team—which uses visualisation for exploration, inspection, debugging and exposition of data—partnered with the ATG to improve how its self-driving vehicles (cars and trucks) interpret and perceive the world around them.
Using some of the latest web-based visualization technologies, the ATG Visualization team built a platform that enables engineers and operators across ATG to quickly inspect, debug, and explore information collected from offline and online testing. In this article, they describe how our Data Visualisation team built this platform and explore the challenges of combining complex and diverse datasets into a reusable and performant web component.
University teams from around the world worked hard to create a socialbot, an AI capable of conversing coherently and engagingly with humans on popular topics and news events for 20 minutes. During the semifinals period, which started on July 1 and ended on August 15, 2017, Alexa customers interacted with the socialbots by saying “Alexa, let’s chat” to any Alexa powered device and ranked their interactions from 1 to 5.
After hundreds of thousands of conversations, the two socialbots with the highest average customer ratings during the semifinal period are Alquist from the Czech Technical University in Prague and Sounding Board from the University of Washington in Seattle. The wildcard team is What’s up Bot from Heriot-Watt University in Edinburgh, Scotland.
Check out this podcast with Orla Lynskey, Assistant Professor of Law at the London School of Economics, and Matt Burgess from Wired discussing GDPR. There is some good analysis in here of pros, cons, and realities of GDPR (from quite a UK perspective). They have lots of inside information about what Elizabeth Dunham (UK ICO) is thinking, and some hard words about the government’s strategy to claim the legislation as their own initiative.
In this article, Adam Radziszewski argued that making a conversational Alexa skill is quite difficult. First of all, the design of the Alexa Skills Kit doesn’t really help with this. You need to abuse the skill configuration to free your application from rigid intent–slot frames that would otherwise kill any free-form conversation. Then you need to deal with errors of the underlying voice recognition technology or wait and hope this will improve over time. The more open-ended your domain is, the more of these you’re likely to face. Last but not least, your users will use even more casual language than they would when typing to a chatbot.
Appier, a Taiwanese startup that helps companies harness artificial intelligence to make marketing decisions, announced today that it has raised a $33 million Series C round from an impressive roster of Asian investors, bringing their total funding so far to $82 million.
Appier intends to continue deepening its reach in Asia before it considers expanding into other regions. “We are focused on internet companies in Asia and I think this round of investors gives us great partnerships to expand all over Asia,” says CEO Chih-Han Yu.
Vibhav Altekar and Minu Palaniappan built an awesome tool to generate new lyrics for any past or present artist. By using a bit of ‘AI magic & recorded tracks’, they’ve been able to put together some creative lyrics.
In terms of the technical underpinnings of the project, Altekar says they “are using a discrete stochastic Markov Model. Nothing too fancy, with randomly generated N-grams, but we experimented with fancier generative networks early on, and they worked well, but ran too slowly.”