While machine learning is one of the many buzzwords afloat today in the world of new technology, it is provoking great shifts in business culture today. But how far can the integration of AI and ML within business go if the consumer en is more distrustful of these technologies?

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AI and machine learning are powered by lots of data, so much so that one futurist thinks today's cloud architectures aren't enough.

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Big data -- a term used with increasing frequency -- refers to the rafts of data that businesses collect on a day-to-day basis, both advertently and inadvertently. The number of avenues that data can be gathered from is always growing and becoming easier to access. By 2025, more than 150 trillion gigabytes of data will need analysis. Enter data scientists.

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OmniBnk's Diego Caicedo discusses five areas where AI and machine learning will improve banking substantially.

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Natural language processing (NLP), the ability for a computer to understand the meaning of human language, was a groundbreaking feat to accomplish. Today, NLP impacts many of our everyday tasks such as writing emails and asking for directions from Siri.

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Apple is introducing on-device machine learning with Core ML 3 to power personalization for iOS apps. Multiple model training is also part of Core ML 3.

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Companies that rely on optical character recognition (OCR) to digitize the content of printed forms may be interested in Textract, a new machine

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ATMSeer is an interactive visualization tool for users to see and control algorithms and hyperparameters of machine-learning (AutoML) systems. The work was developed by researchers in the MIT Laboratory for Information and Decision Systems (LIDS), Hong Kong University of Science and Technology (HKUST), and Zhejiang University.

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A joint survey conducted by Tractica and ITPro Today identifies the bottlenecks to machine learning development, software and hardware tools in use, and more.

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Machine learning based models ensure governance, risk mitigation, quality service, automated and intelligent controls to enable retail and BFSI businesses to save up to 30per cent on the energy bills

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