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Why Should You Integrate Machine Learning Into Your Mobile App?


Machine Learning Apps are fast invading into our everyday lives as the technology is progressing towards delivering smarter mobile-centric solutions. Embedding mobile apps with Machine Learning, a promising segment of AI, is spelling out a lot of advantages for the adopting companies to stand out amidst the clutter and rake in sizeable profits. Many organizations are investing heavily in Machine Learning to reap its benefits. Based on a prediction, Machine Learning as a service market will touch $5,537 million by 2023 while growing at a CAGR of 39 per cent from 2017-2023. Machine Learning Applications refer to a set of apps with Artificial Intelligence mechanisms that are designed to create a universal approach throughout the web to solve similar problems.

Top 10 AI Companies Redefining the World of Retail


Nowadays, retail industry is in a constant state of transformation. The sector highly depends on data from its own operations and customer analysis as a whole to make crucial decisions. The retailers are attempting to survive the fierce competition on the market and fast-changing customer shopping habits using technology. Artificial intelligence in retail industry comes with several benefits such as predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring & surveillance, and location-based marketing. The implementation of technology has impacted constant changes in CRM and sales, manufacturing, logistics and customer service.

Why TinyML is a giant opportunity


The world is about to get a whole lot smarter. As the new decade begins, we're hearing predictions on everything from fully remote workforces to quantum computing. However, one emerging trend is scarcely mentioned on tech blogs – one that may be small in form but has the potential to be massive in implication. There are 250 billion microcontrollers in the world today. Perhaps we are getting a bit ahead of ourselves though, because you may not know exactly what we mean by microcontrollers.

How Qualcomm Is Truly Taking Machine Learning To The Edge - ARC


One massive development is coming to define the year 2016 for the technology industry. It is not virtual reality, which most people say is between three and five years from significant adoption. Bots are experimental new forms of conversational user interfaces, at best. The real sea change in 2016 is coming from the democratization of machine learning and artificial intelligence. Significant contributions to machine learning and artificial intelligence come in the form of Google's DeepMind or TensorFlow, IBM's Watson, Intel's Xeon chips, Facebook's "M" personal assistant and its engine, Microsoft's Bot Framework and Cognitive Services which has 21 specific machine learning APIs for developers to access.

5 Reasons Why Your E-Commerce Brand Needs to Use AI Digital Current


E-commerce remains a highly competitive field, but don't fret, you can make it big amongst the giants thanks to artificial intelligence and machine-learning tools. Artificial intelligence and machine learning have far surpassed the "eye roll" reaction they once sparked… They have become essential tools for many large e-commerce brands to operate at such scale -- and both, while also becoming more advanced, are increasing in prominence with each year that goes by (in a multitude of sectors). The marketing revolution is here, and CMOs can't escape it. From operational optimization to marketing, personalization and enhanced search…right through to automated inventory planning and dynamic pricing -- AI is shaping the future of shopping, at pace. Is your e-commerce brand ahead of the curve, or rapidly falling behind the times?