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Much of the strategic focus in the digital economy thus far has revolved around getting better insights into consumers. B2C firms have been the leaders in customer analytics initiatives. E-commerce, mobile commerce, and social media platforms have enabled businesses to better sculpt marketing and customer support initiatives and customer services. Extensive data and advanced analytics for B2C have enabled strategists to better understand consumer behavior and corresponding propensities as visitors and purchasers conduct daily activities through online systems. But there is also an emerging capability to gain insights on business customers.


Chatbots in Companies

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Chatbots are computer programs that are purposed to offer auditory services. They are governed by a set of rules and artificial intelligence which establish a friendly human interface to chat, answer questions and other functionalities. As a result, individuals and enterprises acquire unlimited benefits, including revolutionizing customer service space. They are products of artificial intelligence and multiple choice scripts that are currently produced in large numbers. This helps to satisfy personalized content experiences as requested by users.


Robots/AI Will Not Take Over Recruiting

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Imagine a Future where Robots own every aspect of the Recruiting/Staffing process, where the Robots drive down the cost of staffing such that no human recruiter exists ever again. Imagine where Artificial Intelligence in a reality like Sky Net is scratching the surface of ingenuity such that sourcing, screening, recruiting, offers, and closing all are filtered by Machines. Imagine where there is no more human interaction in the staffing process. We've heard this nonsense for nearly a decade. Further, as Artificial Intelligence technologies come into maturity new calls for the loss of the Recruiter, the end of staffing as we know it, and the end of the human recruiter are all but the swarm of the click baited articles we see swirling around this ethos.


2018: The Year of Artificial Intelligence and Insights as a Service {IaaS}

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The digital world is constantly changing--a good thing, especially because new advancements and tools are what propel businesses and entire industries (like healthcare[Office1]) forward. But in order to successfully integrate technology into business operations, you can't only look at what's happening in the world of technology today, you've got to look at what's coming next as well. Here at Futurum, that's our specialty. In this vein, my partner, Daniel Newman, recently brought you five predictions on how blockchain will drive digital transformation and discussed his AI and automation predictions for the future. Today, I'm here to share how 2018 will be the year of AI and insights as a service (IaaS).


Outlook on Artificial Intelligence in the Enterprise 2018 - insideBIGDATA

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Narrative Science, a leader in Advanced Natural Language Generation (Advanced NLG) for the enterprise, announced the availability of its third annual research report, "Outlook on Artificial Intelligence in the Enterprise 2018." In partnership with the National Business Research Institute (NBRI), Narrative Science surveyed business executives from a wide array of functions, including business intelligence, finance, and product management, to understand the use, value, and impact of AI throughout their businesses. Narrative Science's analysis of the data revealed key findings, including the compelling discovery that almost two-thirds of enterprises utilized AI in 2017. This year's survey illustrates that AI technology is being widely used today and its impact and application within the enterprise is growing," said Stuart Frankel, CEO of Narrative Science. "Through comparison with our previous report, it is evident that AI implementation has significantly increased and the conversations around AI have turned from awareness to adoption.


Machine Learning Can Help B2B Firms Learn More About Their Customers

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Much of the strategic focus in the digital economy thus far has revolved around getting better insights into consumers. B2C firms have been the leaders in customer analytics initiatives. E-commerce, mobile commerce, and social media platforms have enabled businesses to better sculpt marketing and customer support initiatives and customer services. Extensive data and advanced analytics for B2C have enabled strategists to better understand consumer behavior and corresponding propensities as visitors and purchasers conduct daily activities through online systems. But there is also an emerging capability to gain insights on business customers.


8 fintech trends on our radar for 2018

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Check out the session "AI in personal finance: More than just chatbots" at the Artificial Intelligence Conference in New York, April 29-May 2, 2018. Hurry--best price ends February 2. Here's what we'll be watching in the coming year. AI is sweeping across all industry sectors, including financial services. AI touches customer interactions (voice services like Siri and dialog systems), fraud detection, trading, and risk management (machine learning), and is being used to automate many back-office tasks (robotic process automation). AI technologies are also giving rise to new fintech startups that use techniques like computer vision to unlock new datasets (e.g., aerial images).


Machine learning tools for fairness, at scale

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Check out the machine learning sessions at the Strata Data Conference in London, May 21-24, 2018. Hurry--best price ends February 23. The problem of fairness comes up in any discussion of data ethics. We've seen analyses of products like COMPASS, we've seen the maps that show where Amazon first offered same-day delivery, and we've seen how job listings shown to women are skewed toward lower-paying jobs. We also know that "fair" is a difficult concept for any number of reasons, not the least of which is the data used to train machine learning models.


Unstructured content: An untapped fuel source for AI and machine learning 7wData

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Would you choose where to go on vacation if you could only access 10 to 20 percent of the reviews and information on a travel website? If you do, you will probably have an unforgettable trip, but for reasons you might not like. Yet government organizations and businesses – from manufacturing to insurance companies, and healthcare to banking – are making decisions along this very same line. And they've been doing so for years. They look at the easy information they can get from structured data while ignoring their unstructured data, which Deloitte believes may account for80 to 90 percent of content generated globally, making unstructured data a tremendous source of untapped value.


#Open #IoT with #Blockchain #AI and #BigData – Paradigm Interactions

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There will be many people who will say it does exist and has working technologies, hardware and software. It is an interesting error in thinking to focus on closed system devices/products as to what Ubiquity (IoT3) is. Devices are used to get across the point of various types of connections and networks being accessed. But more importantly in a full implementation of the concept of Ubiquity (often described as the IoT) devices may not even be owned anymore. The ownership of devices ceases to be important if you can own your digital identity, can verify it and establish your own ecosystem of assets in Blockchain.