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cote : ml   19

Nike, Dick's Sporting Goods charge forward with customer personalization
"Looking to the future, Jwala said he is optimistic about artificial intelligence, partly because it will enable the company to give customers more accurate delivery dates, as well as being able to better optimize inventory and customer recommendations."
DicksSportingGoods  AI  retail  ML  Nike  omnichannel 
12 days ago by cote
Google Cloud Revenue
> When asked about Google’s on-premises strategy, Pichai said the company is “thoughtfully looking at it,” and cited its partnerships with SAP, Pivotal, and VMware. Google also has a hybrid-cloud product with Cisco and its own Kubernetes-based GKE On Prem available to early access customers.

> On-premises data centers remain “a big, big requirement for customers,” and these partnerships help Google address those companies’ needs, Pichai said. When it comes to hybrid cloud, “we are thinking about how to do that better,” Pichai said. “Our overall approach to cloud hybrid modernization I think is the right long-term direction and so we are doing that.”
multicloud  ml  cloud  pivotal  partnerships  googlecloud  revenue  privatecloud 
october 2018 by cote
Language barrier won’t hold back chatbots in the Netherlands
"BB lives on Facebook Messenger, where it helps travellers find and book flights, as well as remind them to check in. BB is connected to KLM’s API’s – but also to the company’s Salesforce CRM system so that webcare employees can easily take over the conversation when BB doesn’t know what to say.... For KLM, a smart chatbot isn’t just a gimmick. In fact, since the company implemented BB, it saw engagement grow 40%. Customers threw a whopping 1.4 million queries towards BB, and 15% of all boarding passes are now sent to customers over Messenger."
customerservice  klm  chatbots  cases  netherlands  ml 
august 2018 by cote
Google Cloud rolls out prepackaged AI services aimed at business functions
“Add it up and AI cloud services may veer from the typical vertical selling approach deployed by enterprise software vendors.”
ml  google  ERP 
august 2018 by cote
Amazon launches Part Finder, built by technology it acquired from Partpic in 2016
Machine learning is turning out to be more practical than apocalyptic.
ml  cases  apps  photorecognition  amazon 
july 2018 by cote
Store scanning robots will get AI, object recognition boost with recent acquisition
“Savvides is charged with advancing Bossa Nova's product recognition capabilities at scale and identifying out-of-stock and misplaced products. Bossa Nova's robots rove stores scanning shelves and alerting managers to any issues with inventory, including misplaced or low-stock items. As I've written, the robots are also Big Data mining machines writ small, able to track product performance practically in real-time.”
robots  ml  walmart  retail 
july 2018 by cote
Walmart pick Microsoft Azure for cloud
“Walmart plans to deploy Microsoft’s machine-learning, artificial-intelligence and other services to help employees, for example, pick products that go on shelves and optimize the performance of freezers and other equipment. The retailer is aggressively cutting costs as it invests in growing sales online, and it is using tech to analyze its operations, an area of Amazon’s expertise.”
walmart  publiccloud  microsoft  azure  ml  customers  retail  analytics 
july 2018 by cote
The Smart, the Stupid, and the Catastrophically Scary
“Part of me likes being a programmer—because we're the last job. I can see a future—if we don't manage to blow ourselves up first—in the robot paradise where people are either robot engineers or programmers, or I guess do marketing. Or maybe bake pies, or smell things? Those are essentially the hardest things for a computer to do. But computers do everything else.”
ml  ai  automation  robots  work 
july 2018 by cote
Cambridge Analytica: how did it turn clicks into votes?
“[I]f you live in the Hamptons and have nothing to do in the afternoon, you fill out consumer research surveys.”
ml  scandal  politics  analytics 
may 2018 by cote
GDPR Seen Slowing AI Innovation
Given all the Facebook stuff, I think less balancing towards the side of the robots would probably probably be good:

‘A recent study advocating a U.S. strategy for developing machine intelligence also noted the potential barriers to development that include GDPR and other data privacy efforts. The study released by the Center for Strategic and International Studies warned that the shift to “data localization” will require “balancing legitimate concerns around privacy and consumer protection both in the United States and abroad with the need for an open, flexible data ecosystem that supports innovation and experimentation in AI.”’
GDPR  ai  privacy  ml  techethics  eu  regulations 
april 2018 by cote
Digital Disruption at Volkswagen Group: Is It All About Cars?
Some actual good, interesting applications for ML stuff here, in industrial design. Check out the bike frame example.
AI  ml  cases  Volkswagen  agile  digitaltransformation  autos  manufactoring 
april 2018 by cote
Eden: The Tech That’s Bringing Fresher Groceries to You
Wal-mart using ML and analytics to keep food fresher:

“For example, take everybody’s favorite, the banana. This tasty fruit is consistently among the best-selling grocery items in Walmart’s U.S. stores. Bananas travel from seven countries in Latin America to over 4,000 stores in the U.S. On such a long road, what happens to those bananas if temperatures in the container trucks exceed acceptable ranges? In the future, Eden will be able to recalculate the freshness factor and re-route the shipment immediately. The bananas end up in a closer store to optimize freshness, consumers take home a delicious bunch, and everyone is happy.

Eden also helps eliminate food waste. Our goal is to eliminate $2 billion in waste over the next five years. Already, Eden is being used in 43 distribution centers and has prevented $86 million in waste from happening.

What was once a manual inspection process is now more efficient and thorough than ever.”
cases  food  walmart  retail  groceries  analytics  supplychain  ml  bananas 
april 2018 by cote
When AI meets digital transformation: 4 areas where AI fits now | The Enterprisers Project
Still no case studies of enterprises actually using AI/ML, but some interesting examples of “boring” enterprise workflows that could be automated with some machine learning, like accounting.
redhat  ai  accounting  ml 
april 2018 by cote
"Do They Have AI?" or That Rant on AI in Security
‘It turns out that our AI analysts often use the phrase “AI” to mean “top techniques from the field of Artificial Intelligence” which today means “deep neural networks” (DNNs, shorthanded to “deep learning” by some), natural language processing, image recognition, etc (the latter probably use DNNs anyway).’
ai  ml  gartner  security 
march 2018 by cote
Moogsoft gets $40m round D
“Moogsoft claims to have more than doubled revenue in the past year thanks to new customer wins. The startup counts Cisco Systems Inc., T-Mobile USA Inc., Intuit Inc. and other major tech firms among its users.”
ml  systemsmanagement  monitoring  logmanagement  funding 
march 2018 by cote
The Ivory Tower Can’t Keep Ignoring Tech
“[W]e shouldn’t have to depend on journalism to do the tedious, serious work of understanding the problems with algorithms any more than we depend on it to pursue the latest questions in sociology or environmental science.”

More: “There is essentially no distinct field of academic study that takes seriously the responsibility of understanding and critiquing the role of technology — and specifically, the algorithms that are responsible for so many decisions — in our lives.”
ml  journalism  techethics  technews  ai 
march 2018 by cote
Gartner Survey Shows Organizations Are Slow to Advance in Data and Analytics
Still waiting for BI👉analytics👉big data👉AI/ML to hit the big time: “The global survey asked respondents to rate their orgs according to Gartner's 5 levels of maturity for data & analytics…. 60% of respondents…rated themselves in the lowest 3 levels.”
gartner  analytics  ai  surveys  ml  bi 
february 2018 by cote
Google’s AutoML lets you train custom machine learning models without having to code
"The basic idea here, Google says, is to allow virtually anybody to bring their images, upload them (and import their tags or create them in the app) and then have Google’s systems automatically create a customer machine learning model for them. The company says that Disney, for example, has used this system to make the search feature in its online store more robust because it can now find all the products that feature a likeness of Lightning McQueen and not just those where your favorite talking race car was tagged in the text description."
via:rseroter  google  ai  ml  imagerecognition  services  cloud  googlecloud 
january 2018 by cote

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