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  • Facebook Messenger gets conversational and intelligent with Next IT IVAs

    From web to mobile to social media, there’s not a digital channel where Next IT virtual assistants don’t feel at-home. Watch a demo of Next IT’s latest endpoint in action. Read more >

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    | August 25, 2016
  • Enhanced Machine Learning

    Controlling Machine Learning in Business

    Machine learning is a pillar of conversational A.I. and natural-language systems that allows them to ingest and apply large amounts of information. In business, machine learning can be a bit unnerving; for example, what if it learns things you don’t want it to? Next IT solves this problem by incorporating human validation to make sure your intelligent assistant is always learning what you want it to. Read more >

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    | August 17, 2016
  • frost-and-sullivan-thumb

    Frost & Sullivan on the End of a Long-Standing Customer-Service Dilemma

    For businesses, no customer service options have been without significant downsides. A recent Frost & Sullivan report, though, points to an alternative that businesses can’t afford to ignore. Read more >

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    | June 21, 2016
  • defending-complexity-thumb

    In Defense of Enterprise Complexity…

    A recent TechCrunch op/ed piece was notable for recognizing the benefits that can be realized by narrowing a chatbot’s scope of knowledge to a single enterprise – as opposed to the world at large. But when it went on to say that developing a language model for some types of enterprises is a simple task, our experience told us different. Read more >

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    | June 7, 2016
  • Machine_Analysis

    Evaluating the IVA Experience, Part II: Machine-Driven Analysis

    On the flip-side of an intelligent virtual assistant’s greatest asset – the ability to interact with thousands upon thousands of people every day – lies an enormous challenge: ensuring the quality of each and every conversation. The solution? A.I. based analysis tools that make troubleshooting easy – while also providing insights into your customers’ needs. Read more >

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    | May 20, 2016
  • Human-Driven-Evaluation

    Evaluating the IVA Experience, Part I: Human-Driven Evaluation

    When designing a conversational A.I. experience, striking a balance between your business goals and your customers’ expectations isn’t always an easy task. But with careful analysis, you’ll find that there’s nearly always an opportunity to provide a win-win interaction. Read more >

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    | May 5, 2016
  • Unifying-IT-Systems

    Unifying IT Systems in the Post-Stack Era

    When it comes to software to fulfill a specific business need, the range of choices and vendors has never been greater. The resulting patchwork of systems, however, ends up being anything but seamless – and between hours invested in training and learning, too much time and effort is wasted. It’s time to reduce the learning curve with an intelligent interface that unifies diverse systems. Read more >

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    | April 27, 2016
  • Tay

    Microsoft’s Tay and the Catch-22 of Rigid Boundaries

    Microsoft’s recent test of a “chatbot’s” ability to learn through conversation with the public produced results that were, to put it mildly, unexpected. As it turns out, human oversight may not be effective as a sole safeguard against manipulation: You’ve got to make sure your conversational A.I. has goals. Read more >

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    | April 14, 2016
  • Eliel Saarinen

    Wait, What?: Why Context Is King for IVAs

    It takes more than just speech recognition and a large knowledgebase to create a high-quality intelligent virtual assistant. A good experience is based on two-way conversation, and that can’t happen without the ability to understand context: the details that any two people talking to each other would take for granted. Read more >

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    | April 5, 2016
  • listen-up-thumb

    A Virtual Assistant Doesn’t Just Answer, It Listens

    You can’t afford to make assumptions about your customers – instead, listen and learn. To effectively serve your customers, an intelligent virtual assistant needs to listen and learn, too. Read more >

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    | March 23, 2016
  • 2015_quotes_sm_v5

    16 Quotes that Defined AI and Intelligent Virtual Assistants in 2015

    2015 was a big year for artificial intelligence and intelligent virtual assistants, with news being made left and right about big investments, innovative breakthroughs and further IVA development. Naturally, people got talking – see which quotes from the past year made our list of favorites. Read more >

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    | January 6, 2016
  • SXSW

    Vote Next IT for SXSW 2016

    Featuring a deep dive into the state of AI and a discussion on the technology’s exciting healthcare applications, Next IT’s two SXSW 2015 presentations captured the audience’s imagination and were the catalyst for many valuable conversations. For SXSW 2016, Next IT has three panels vying for stage time, and we need your vote. Read on for a description of this year’s submissions, and hurry – voting ends on Friday, September 4th. Read more >

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    | September 1, 2015
  • growingUp_sm

    When I Was Growing Up

    Does the invention of the calculator negate the need to learn simple math? Does the availability of Google Translate mean that we no longer have to learn a second language? A recent blog by X-Prize founder and chairman Dr. Peter Diamandis got Next IT’s Chandra Turner thinking about the many ways that advances in technology will influence the way children are educated. Read more >

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    | August 10, 2015