Machine Learning (ML) is reshaping our lives. From 10 million self-driving cars by 2020 to self-tuned databases, automated surveillance systems, smart assistants like Siri and humanoids like Sophia, it is everywhere. ML is making the devices, gadgets and apps smarter like humans, empowering them to take decisions on their own and facilitate us with a better experience. Besides this, Allied Market Research has predicted that Machine Learning as a service market will reach $5,537 million in 2023 while growing at a CAGR of 39.0% from 2017-2023. All these significant numbers have prompted the startups and established brands to turn towards the Machine Learning.

How AI helped Walmart go from 700,000 to 60 million items online. Target shoppers can now use the AI-driven Pinterest Lens visual search tool to find products with ease, using Target's e-commerce site and mobile app.2O'Shea, Online homeware store Wayfair has also adopted AI and machine learning for image-based search.3Terrelong, What the future of retail will look like, according to Google. The power of voice: Voice-assisted ordering for browsing and buying will be big this year, led by tech titans Amazon, Google and Apple. Amazon Echo accounts for approximately 75% of the smart speaker market, and more than 25% of searches now take place using voice-enabled devices, making connected homes a priority for retail tech leaders Amazon, Google, and Apple.6Duggan,

Frank Reeves, co-founder and CEO from Avvio, one of the many super-smart travel tech businesses set up in Ireland, sat down with tnooz to explain how the machine learning capabilities of AI can help hotels address one of their biggest headwinds – conversion rates. Frank: The difference between a standard booking engine and AI-driven booking engine is that an AI engine will actively learn from every website interaction between a hotel and its website visitors, and learn how to optimise that sales conversation and that brand experience for the customer, in order to improve conversion rates…It also uses that learning to improve its own performance. Perhaps even more interesting than Allora's ability to learn at the individual hotel level is the fact that it can learn across the network of hotels that use Allora. Take the example of an independent hotel web site which, says, gets five instances a year of a Japanese customer on a smartphone trying to book a room. Of course Allora will try to optimise each of these visits, but five is a small number.

Google has been improving its Home devices for a while now. The company added better search, upgraded the Home app interface and enabled an intercom feature last November. It can also now match your voice to your own Netflix profile, too, a feature that builds upon Home's multiple voice recognition system. Now Google has added an update that adds a voice-powered alarm function and makes it a bit easier to find shows and music with your Home devices. If you link your Netflix account with Google Home, you can tell it to watch any of the streaming platform's shows with a voice command.

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On the move: Dynatrace gets the green light in AI innovation, next stop the Internet of Things. Back with a bang on day two, Dynatrace exceeded expectations yet again with a whole host of announcements. With the same ethos in mind, the performance management company looked at the hype capabilities in the IT industry – artificial intelligence (AI) and cloud computing. Once again, perfection was the goal for Bernd Greifeneder, CTO at Dynatrace. Keeping customers at the heart of all its operations, Dynatrace's virtual assistant Davis powered today's problem solving performance announcement as it looks to disrupt the Internet of Things (IoT) market.

New Report Highlights how Finn.ai Vancouver, BC, February 1, 2018--(T-Net)--Finn.ai, developers of an AI-powered virtual assistant built for personal banking and financing, announced that it was selected this month as an IDC Innovator by the International Data Corporation (IDC) Canada. Issued this week the IDC Innovators: Canadian Artificial Intelligence (IA) Enabled Customer Interaction Solutions 2017 report recognizes five Canadian AI-enabled vendors with revenue under C$100 million. As an IDC innovator, Finn.ai was reviewed and selected based on the following criteria: "Financial well-being relies on access to information and the ability to act on it. Finn.ai allows banks to simplify and improve access to financial services for their customers, using an interface that is intuitively familiar to consumers - natural language conversations," said Jake Tyler, CEO, Finn.ai. "This acknowledgment from IDC, a trusted source for global marketing intelligence, demonstrates that we are playing an important role in building financial literacy across a broad spectrum of people and communities around the world."

Artificial intelligence (AI) is getting a lot of attention from investors these days and with good reason. It's a technology with the potential to transform everything from transportation to cloud computing. Many companies are betting that AI will influence not just their products and services, but nearly every aspect of their business. Read on to discover nine things you may not have to know about this burgeoning technology. Artificial intelligence is often used as a catch-all to describe computer systems that can learn.

This article has been updated from the original, published on June 17, 2017, to reflect new events and conditions and/or updated research. "By 2022, your personal device will know more about your emotional state than your own family," says Annette Zimmermann, research vice president at Gartner. This assertion might seem far-fetched to some. But the products showcased at CES 2018 demonstrate that emotional artificial intelligence (emotion AI) can make this prediction a reality. Emotion AI, also known as affective computing, enables everyday objects to detect, analyze, process and respond to people's emotional states and moods -- from happiness and love to fear and shame.

In recent months, Microsoft, Google, Apple, Facebook, and other entities have declared that we no longer live in a mobile-first world. Instead, it's an artificial intelligence-first world where digital assistants and other services will be your primary source of information and getting tasks done. Your typical smartphone or PC are now your secondary go-getters. Backing this new frontier are two terms you'll likely hear often: machine learning and deep learning. These are two methods in "teaching" artificial intelligence to perform tasks, but their uses goes way beyond creating smart assistants.