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Fashion Retail Inventory Management With Deep Learning Content-based Image Retrieval - Developer Blog

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The online fashion retail space continues to boom, as modern consumers increasingly lean towards a more convenient remote buying experience. However, to stay ahead of the competition, leading retail brands need to offer an ever evolving catalogue of seasons, styles and sizes on their platforms. This poses a challenge for inventory management, when constantly updating and removing available items daily. For warehouse staff, and catalogue managers, one of the biggest challenges is developing an efficient system to log new items while on the move, and quickly determine whether the item is already in stock. When dealing with such large catalogues, the traditional method of manually checking each garment from millions of items, would slow processes to a snail's pace.


Machine learning and data privacy regarding the upcoming GDPR

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The deployment of machine learning tools across different sectors, be it for eligibility for a loan or scoring candidates during a recruitment process, is becoming more and more common. The main privacy issues relating to machine learning (ML) tools come from the collection of large amounts of information coupled with the tool's ability to make autonomous decisions and actions aimed at maximising success. As the GDPR comes into force tomorrow (25 May 2018), the recently published'GDPR Article 29 Working Party' guidelines in automated individual decision making and profiling is likely to turn any ML activities into hurdles. Let's start by quoting the GDPR itself: 'data subjects shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her'. At first sight, this seems to read that only decisions that are based solely on automated processes trigger a right for the data subject to opt out.


Cleveland Clinic Targets Telemedicine, Big Data and AI to Improve the Future of Care

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The Cleveland Clinic has a history of being on the bleeding edge of health IT and its new CEO Tom Mihaljevic has made it clear that the Ohio-based health system will keep pushing ahead as a medical technology pioneer. "Most of our plans for the future will depend on digital platforms: telemedicine, data analytics, artificial intelligence," Mihaljevic said during the State of the Clinic address in late February. "Digital technology will allow us to deliver smarter, more affordable and more accessible [care]. The Cleveland Clinic has always been an early adopter, beginning with our electronic medical records. But now, we have to take technology even more seriously.


Amazon Alexa recorded private conversation, sent it to random contact, woman says

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SEATTLE - A Portland, Oregon, family contacted Amazon to investigate after they say a private conversation in their home was recorded by Amazon's Alexa – the voice-controlled smart speaker – and the recorded audio was sent to the phone of a random person in Seattle, who was in the family's contact list. "My husband and I would joke and say, 'I'd bet these devices are listening to what we're saying,'" said Danielle, who did not want KIRO-TV to use her last name. Every room in her family home was wired with the Amazon devices to control her home's heat, lights and security system. But Danielle said that two weeks ago, the family's love for Alexa changed with an alarming phone call. "The person on the other line said, 'Unplug your Alexa devices right now,'" she said.


How AI Will Change Marketing As We Know It

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One of the biggest and most important trends in business today is the steady growth of artificial intelligence (AI). While people often think of AI in terms of the ways it can eliminate menial tasks such as paperwork and scheduling, the fact is that it will soon be touching every part of the business world, if it is not already. AI is doing more than just providing companies with virtual personal assistants -- it is changing marketing as we know it. Digital marketers today are helped by an incredible wave of information that is available from accessible, advanced data analytics tools, providing more insight into consumers as well as how to market directly to them. As the chief digital officer at Advantix Digital, I have had the chance to be exposed to AI -- from the introduction of machine learning to AdWords and optimizing for voice search.


Updating the Definition of 'Data Scientist' as Machine Learning Evolves - AI Trends

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In the early days of machine learning, hiring good statisticians was the key challenge for AI projects. Now, machine learning has evolved from its early focus on statistics to more emphasis on computation. As the process of building algorithms has become simpler and the applications for AI technology have grown, human resources professionals in AI face a new challenge. Not only are data scientists in short supply, but what makes a successful data scientist has changed. As recently as six years ago, there were minimal differences between statistical models (usually logistic regressions) and neural networks.


Yelp Collections uses machine learning to serve up recommendations

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Yelp Collections, which launches on Android, iOS, and the web today, is all about highlighting the top restaurants, hair salons, hotels, and more in your area. The new feature uses a combination of machine learning, algorithmic sorting, and manual curation to put the local cream of the crop at your fingertips. "This is something we've been working toward for the past six months," Yelp product lead Jay Garg told VentureBeat in a phone interview. "The idea of curating content on Yelp makes a lot of sense." The feature is split into three categories: weekly user recommendations, Collections published by Yelp, and personal Collections users create themselves.


Chances are You Don't Have a Quantum Computer, but IBM Will let you Use One

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There are many simulation and optimization problems that are difficult or impossible to solve using your existing computing resources. You do not have a quantum computer, which may be able to solve them, and you do not expect your company to get one soon. You are not alone, but don't worry IBM will let you use their quantum computing resources to make a start in formulating their solutions. For years, quantum computing was little more than an idea that fascinated computer scientists. Now it is offering direct utility for researchers and engineers even before the promise of a large-scale universal quantum computer is fulfilled.


Why Digital Transformation Needs To Maintain A Human Touch

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Digital Transformation continues to gain velocity. But even as technology takes over many tasks, it's important that a Human touch is retained. This thought-provoking article by Bryan Kramer s another in our "Great Articles You may have missed" series. A few years ago, experts were trumpeting that the future is mobile, and they weren't wrong. Some of the world's most successful new apps and business models are mobile-based -- just look at Uber, Instagram, and Snapchat.


Make in India set to get big robotics, Artificial Intelligence boost as ABB, Niti Aayog ink deal

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Technology company ABB India and Niti Aayog joined hands to boost the government's vision of'Make in India' through advanced manufacturing technologies that incorporate the latest developments in robotics and Artificial Intelligence (AI). A Statement of Intent (SoI) was signed on Wednesday for both to work together in preparing key sectors of the economy for digitalisation, artificial intelligence (AI) robotics, and industrial automation, an ABB India statement said. The initiative will cover the fast growing segment of electric mobility. Niti Aayog and ABB will work with government ministries, solicit feedback for areas critical to them and discuss solutions using industrial automation, and digitalisation technologies. "We are looking forward to learning more about practical applications of future technologies such as AI and IoT, especially in streamlining governance and economic systems.