Watch all the Transform 2020 sessions on-demand here.
Here’s this week’s newsletter: Last week, VentureBeat invited Amazon, Facebook, Google, IBM, and other giants of AI into a big tent with brands like Coca-Cola, The New York Times, Tumi, and Walmart, as well as such promising startups as Bark.us, Mezi, Visabot, and Octane AI. The gathering was MB 2017, and the need for practical AI was on nearly everyone’s mind.
Walmart, for instance, is using machine learning to better serve its 140 million weekly shoppers and to make new services possible. Laurent Desegur, vice president of customer experience engineering at WalmartLabs, explained the role of data science to make possible so-called Pick-up Towers within stores, which allow customers to order and pay online for items and then retrieve them, skipping the checkout lines. Desegur also described a 20-store pilot of Scan and Go shopping, a self-serve experience.
Walmart’s brick and mortar innovation is very similar to the Amazon Go concept store, which combines computer vision, machine learning, and sensors to bypass the checkout process entirely.
Improved shopping was just one application of machine learning by Walmart. The retail giant also recently launched an associate delivery program to conquer the last mile problem. To accomplish this, Desegur had to build not just an Uber-like system to determine which associate should deliver to which customer, but he also had to layer in inventory management to make certain the desired products are available for delivery with the push of your thumb.
June 5th: The AI Audit in NYC
Join us next week in NYC to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations. Secure your attendance for this exclusive invite-only event.
Read all the MB 2017 coverage here.
For AI coverage, send news tips to Blair Hanley Frank and Khari Johnson, and guest post submissions to John Brandon — and be sure to bookmark our AI Channel.
Thanks for reading,
Blaise Zerega
Editor in Chief
P.S. Please enjoy this video featuring Google’s DeepMind CEO Demis Hassabis, “Artificial Intelligence (AI) invents new knowledge and teaches human new theories.”
https://www.youtube.com/watch?v=dTGthmNmrK4
From the AI Channel
CrowdFlower expands to help companies implement machine learning
CrowdFlower, a company that helps customers build AI systems by providing them with training data, announced today that it’s getting into the business of helping companies implement machine learning.
Why Google’s PAIR initiative to take bias out of AI will never be complete
Conversations about artificial intelligence (AI) get caught up in the idea that machines can do it all. But whether it’s picking out groceries or suggesting who to hire, there’s an inherent risk in placing blind trust in an algorithm. Luckily, the conversations are starting to shift.
New York Times digital subscriptions get boost from AI and ‘Trump Bump’
To ape Charles Dickens, it is the best of times, it is the worst of times — for media today. Even as President Donald Trump assails news coverage of his administration, his election has reminded America’s citizenry of the value of a vigorous and[…]
Bark.us saves teens’ lives by using AI to analyze their online activity
The analysis of the words people use in chat environments can help businesses make money and improve the customer service experience for consumers. At Bark.us, however, analysis of 500 million messages has so far helped save the lives of 25 kids […]
How Walmart uses AI to serve 140 million customers a week
Old dogs can always learn new tricks, provided they are smart enough and have the right tools. Founded in 1962 — a generation or so before ecommerce giants like Amazon — Walmart has 11,700 stores and 140 million weekly shoppers in 28 countries around the world.
Facebook to expand Messenger home screen ads beta worldwide
Facebook Messenger will start to extend its home screen ads beta worldwide in the weeks ahead, Messenger head of product Stan Chudnovsky announced today. The home screen on Messenger acts as an inbox for […]
Beyond VB
Elon Musk Says Artificial Intelligence Is the ‘Greatest Risk We Face as a Civilization’
Appearing before a meeting of the National Governor’s Association on Saturday, Tesla CEO Elon Musk described artificial intelligence as “the greatest risk we face as a civilization” and called for swift and decisive government intervention to oversee the technology’s development. (via Fortune)
China may match or beat America in AI
At the start of this year, two straws in the wind caught the attention of those who follow the development of artificial intelligence (AI) globally. First, Qi Lu, one of the bosses of Microsoft, said in January that he would not return to the world’s largest software firm after recovering from a cycling accident, but instead would become chief operating officer at Baidu, China’s leading search engine. Later that month, the Association for the Advancement of Artificial Intelligence postponed its annual meeting. The planned date for the event in January conflicted with the Chinese new year. (via The Economist)
The Business of Artificial Intelligence
For more than 250 years the fundamental drivers of economic growth have been technological innovations. The most important of these are what economists call general-purpose technologies — a category that includes the steam engine, electricity, and the internal combustion engine. Each one catalyzed waves of complementary innovations and opportunities. The internal combustion engine, for example, gave rise to cars, trucks, airplanes, chain saws, and lawnmowers, along with big-box retailers, shopping centers, cross-docking warehouses, new supply chains, and, when you think about it, suburbs. (via Harvard Business Review)
AI and ‘Enormous Data’ Could Make Tech Giants Harder to Topple
Another week, another record-breaking AI research study released by Google—this time with results that are a reminder of a crucial business dynamic of the current AI boom. The ecosystem of tech companies that consumers and the economy increasingly depend on is traditionally said to be kept innovative and un-monopolistic by disruption, the process whereby smaller companies upend larger ones. But when competition in tech depends on machine learning systems powered by huge stockpiles of data, slaying a tech giant may be harder than ever. (via Wired)
Subscribe to AI Weekly
and receive this newsletter every Thursday