.@TechCrunch #AI techniques are delivering huge value to financial institutions and to the customer… https://t.co/joKg1Er5W7
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    The A.I. Buyer’s Checklist: Is Your Content Ready for an IVA?

    It’s one of the most common questions we get when talking to a new customer: is my content ready for an Intelligent Virtual Assistant (IVA)? It’s a smart question – savvy IT leaders know that an IVA is only as good as its training. Since most businesses haven’t been capturing and organizing content, call logs [...] Read more >

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    | September 23, 2016
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    Communicating Across Cultures and Languages with Virtual Assistants

    Just ten years ago, I remember making my way down the cobblestone streets of Mexico searching for the nearest cibercafé to make an international call to the states or to Skype on a rented computer – the most innovative means of international communication at that time. Those were the days of delayed calls and frozen [...] Read more >

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    | September 21, 2016
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    The A.I. Buyer’s Checklist: Building the Team

    “The strength of the team is each individual member. The strength of each member is the team.” – Phil Jackson The third item on the A.I. buyer’s checklist helps ensure that we meet our goals and see our vision come to life. (Read about our first two checklist items in the series – Creating an [...] Read more >

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    | August 31, 2016
  • 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
  • SXSW_PanelPicker

    Time to Vote! SXSW 2017

    It’s voting season! More information below, but we need your help by voting for our SXSW panels, which you can find through the following links: Smart Machines, Smart Strategies: AI in Business Digital Trust: Human Values, Intelligent Machines Slaying Ticket Scalpers for the Beyhive and Beyond We’re excited to speak at SXSW 2017 on the [...] Read more >

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    | August 24, 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 & Sullivan Presents Its 2016 Top Pick for Conversational A.I.

    Forward-thinking enterprises are increasingly turning to A.I.-based solutions that combine the convenience of automation with the expertise of a live representative, dramatically enhancing the efficiency of customer care. Early to recognize the tremendous potential conversational A.I. holds for business, leading analyst firm Frost & Sullivan has been keeping a close eye on the state of [...] Read more >

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    | August 16, 2016
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    The A.I. Buyer’s Checklist: Vision and Goals

    In our last post, we discussed the three components of the “A.I. Buyer’s Checklist,” cultural and philosophical preparations a company needs in order to get the most out of enterprise-grade A.I. technologies. This post explores the first two items on our list. The foundational component of a successful A.I. solution is to have a clear, [...] Read more >

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    | August 11, 2016
  • Next IT Adds Intelligence for Popular Bots Including Alexa, Facebook Messenger, and Twilio SMS

    July 2016 We are excited to announce that we now offer broad support for bots on Amazon, Facebook Messenger, and Twilio SMS. Developed off our conversational platform, Alme, we are able to deliver our leading natural language and domain understanding directly to any bot platform. There’s no doubt that bots are becoming a critical player [...] Read more >

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    | July 27, 2016
  • AIQuestions_07_21.16

    The A.I. Buyer’s Checklist

    Next IT has designed and deployed A.I.-powered solutions for businesses and organizations in a wide variety of industries. We pride ourselves on being adaptable, mindful that our customers have unique sets of goals and face distinct challenges. Regardless of their differences, at the outset of our working relationship, most of our customers share the same [...] Read more >

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    | July 21, 2016
  • ToBotorNot_07.18.16

    Will Your A.I. Strategy Outgrow Bots?

    Advancements in artificial intelligence joined with the explosion of messaging apps are fueling the development of chatbots. By definition, chatbots are software programs that use messaging to carry out a number of tasks – order a pizza, check the weather, schedule a meeting, etc. With their simple interface and promised ease of implementation, businesses are [...] Read more >

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    | July 19, 2016
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    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
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    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
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    Frameworks for Building Trust in Conversational AI: Brené Brown and B.R.A.V.I.N.G.

    Building trust in both business and personal relationships is something we’ve inherently been doing since we were born. So how do you build trustworthiness into a machine? We’ve broken down bestselling author Brené Brown’s fundamentals for the development of trust as it relates to the world of AI. Read more >

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    | June 2, 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

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