Climbing the IoT data mountain

Businesses are in the midst of a digital transformation. To transform, they must become software companies, they must turn their products and services online, and they must provide more intelligent solutions. This new and connected world has companies turning to the Internet of Things (IoT) to lead them towards new business opportunities.

Read the source article at SD Times..

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Why Businesses Should Embrace Machine Learning

If you’re still unsure of machine learning and it’s benefits, consider these scenarios

In 2016, Google’s net worth was reported to be $336 billion, and this is largely due to the advanced learning algorithms the company employs.

Google was the first company to realize the importance of incorporating machine learning in business processes. And the technology powerhouse doesn't stop at any given point; it keeps modifying its algorithms to better suit the needs of its use..

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How AI will play a major role in the auto industry

Artificial intelligence (AI) systems, blending data and advanced algorithms to mimic the cognitive functions of the human mind, have begun to simplify and enhance even the simplest aspects of our everyday experiences — and the automotive industry is no exception. A Tractica market intelligence study forecasts that the demand for automotive AI hardware, software, and services will explode from $404 million in 2016 to $14 billion by 2025.

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Explaining GPUs To Your CEO: The Power Of Productization

The key is to find the type of productization that is the best fit. In my framework, the custom kitchen is for companies who are creating their own solutions for wider use either internally or externally. The dinner in a box is for those who want a toolkit built with a set of use cases in mind, again, so a company and/or its consultants can create solutions that can be widely used. The artisanal brew is about a configurable solution for a use case. The value meal is a fully productized use.<..

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Machine Learning: An In-Depth Guide

Machine learning is a very hot topic for many key reasons, and because it provides the ability to automatically obtain deep insights, recognize unknown patterns, and create high performing predictive models from data, all without requiring explicit programming instructions. 

Despite the popularity of the subject, machine learning’s true purpose and details are not well understood, except by very technical folks and/or data scientists.

This series is intended to be a comprehensive..

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Regtech to the rescue? – Banking Exchange

If banking’s compliance fraternity had a coat of arms like those made for the knightly orders of old, it might include the following heraldic devices:
• An hourglass, almost out of sand, to symbolize how compliance officers are nearly always facing some issue with inadequate time.
• A stack of papers depicting the vast body of fine print they must be up on.
• A stack of $100 bills burning to symbolize ongoing and rising costs of compliance.
• A mythical beast..

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Data analytics can combat fraud & transform your enterprise

Aashu Virmani, CMO at Fuzzy Logix here talks to Finance Monthly about the potential impact data analytics can have on fighting money laundering and changing your business for the better.

The numbers speak for themselves:

- 75% reduction in 'False Positives'

- 40% increase in terms of incremental identification of suspicious activity or STRs

- 50% cheaper

So, if y..

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The Promise of Artificial Intelligence: Where We’re Headed and Whence We’ve Come

"I have found myself in the middle of many a conversation wherein terms like AI, ML, DL, NLP (and other concepts that are clustered around these acronyms such as Neural Networks) are often casually blended into a soup of words where these terms are used interchangeably. Heck…I have done so myself and ought to be classified as a Class A offender by the cognoscenti.  If anything, this post is one that I am writing for myself to impart a much needed self-clarity as to what these concepts actuall..

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