“We are able to increase our test coverage to 95% of the browsers and devices our customers use, while simultaneously speeding up our testing 2X with eureQa”, said Russell Glitman, eCommerce Manager at The Vermont Country Store. He added, “eureQa helped us reduce the number of customer support staff involved in testing by half, so that they could spend more time helping our customers.”
“’If you go in my bathroom, there’s a book, Machine Learning for Idiots,’Cuban said on the latest episode of Recode Media. ‘Whenever I get a break, I’m reading it.’
That’s because Cuban — the Broadcast.com co-founder who went on to become an internet investor, Shark Tank star, and owner of the Dallas Mavericks — believes AI and machine learning are so important to the future that they will “dwarf” the internet. That means everyone, including and especially business owners, are at risk if they don’t educate themselves now.”
- “DataVisor was founded with an ambitious vision, by Xie and co-founder Fang Yu, DataVisor CTO. The company’s mission is to stop fraudsters in their tracks and to restore online trust with the help of big data and machine learning.
- Xie will present DataVisor’s quarterly Fraud Index Report, which takes a deep dive into the current cyber fraud landscape, based on sample data gathered by the company’s Global Intelligence Network from 44-plus billion events that took place across 800-plus million active user accounts in Q4 of 2018.”
NYC has the highest concentration of AI/ML Jobs in the US
“New York is home to more than 7,000 startups — second in size only to San Francisco. However, when it comes to the concentration of artificial intelligence and machine learning jobs in the market, it looks like NYC even has San Francisco beat. An astonishing 11.6% of job postings on indeed.com are related to AI and machine learning, compared to San Francisco’s 9.6% (according to research compiled by Bloomberg). If you’re looking for a job in the artificial intelligence space, New York is the perfect spot.”
“This is now a step closer to reality thanks to Google Lens — an app that cleverly links real-world objects to Google’s massive index of the world’s information.
The app works in a remarkably simple way: point your camera at the object you are seeking to find online, tap on it to separate it from the background and then let Google’s servers do all the heavy lifting for you and deliver relevant search results.
How to Take Advantage of Google’s Indexing of Entities
- Make the pictures tell the story.
- Label everything correctly.
- Tie the pictures to the text.
- Think context and perspective.”
“As a result of the growing global demand for cannabis, many AI and machine learning companies have launched innovative products to help marijuana businesses speed up processes, reduce errors and significantly reduce their cost of production. Some of these companies, like Motorleaf and Leaf, have completely revolutionized farming as we know it.
Here are six ways artificial intelligence is helping green entrepreneurs make more sales.
1. Improved customer service with chatbots.
According to Armen Yemenidjian, the founder and CEO of Essence Vegas, virtual assistants inform users of different cannabis strains and peer-reviewed medical journals.
2. More effective employee training.
3. Find leads.
Node, Siftrock and the Linkedin sales navigator tool integrate AI and machine learning to help marketers discover and recommend new potential customers.
4. Filter prospects.
An example of an AI system that helps marketers understand prospects better is Netra. Netra analyzes visual content from social media platforms to understand consumer interests better.
5. Better post-sale delivery experience.
Starship Technologies is revolutionizing neighborhood deliveries by piloting wheeled delivery robots in London.
6. Sales forecast.”
“Google’s Cloud Auto ML service, which doesn’t require any coding experience to use (it’s free to try), was trained to find Waldo by looking at dozens of pictures of the cartoon, which were all found on Google Image Search.”
- “Dr Genevera Allen, associate professor of statistics, computer science, and electrical and computer engineering Rice University in Houston, Texas has discussed this topic
- She warned that researchers in the field of machine learning have spent so much time developing predictive models that they have not devoted enough attention to checking the accuracy of their models,
- The problem is that machine learning techniques do not have a way to say “I don’t know” or ‘It’s not clear.'”
- “Today, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that AWS is now the primary cloud computing, machine learning, and artificial intelligence provider of Clippers CourtVision, the live, augmented game-watching platform created by the Los Angeles (L.A.) Clippers and Second Spectrum, the official video tracking technology provider for the NBA.
- In addition, Clippers CourtVision will test Amazon SageMaker to build, train, and deploy machine learning-driven stats which will appear on live broadcasts and on-demand NBA game videos.
- “The combination of cloud computing and machine learning has the potential to fundamentally redefine how fans experience the sports they love,” said Mike Clayville, Vice President, Worldwide Commercial Sales, AWS.”
“PelicanSecure brings together tools that use natural language processing and machine learning to analyse patterns of behaviour to flag up “subtle anomalies” pointing to instances of fraud.
Factors like user location, spending patterns and unusual device configuration are all integrated into Pelican’s detection system.
Describing the role AI has to play in turning the tide against scammers, CEO Parth Desai says: “Traditional fraud detection methods are reactive in nature, meaning if a fraudster came up with a new idea to defraud an organization, the existing rules will fail to prevent it.
“AI, on the other hand, predicts those behaviours and protects against trending and future fraud typologies.
“AI, including machine learning, is unquestionably the future of fraud detection. Financial institutions are shifting towards AI gradually.
‘We believe the industry is still in the launching phase of this technology and that there is a lot more to explore over the course of the coming few years.'”