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    How Government Agencies Are Relying on AI

    With the administration taking shape in Washington D.C., a lot of attention is being focused on how new policy initiatives will impact government agencies. One trend we expect to continue through the next four years is an increased emphasis on intelligent virtual assistants and AI. This isn’t a new trend, of course. Eleven years ago, [...] Read more >

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    | February 2, 2017
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    How AI Makes You a Better Listener for Your Customers

    Large companies are more eager than ever before to better understand their customers. We want to anticipate what our customers want and what they need so that we can better serve them and earn their loyalty and trust. The problem is that traditional customer interactions simply don’t capture this kind of data in a way [...] Read more >

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    | January 20, 2017
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    Conveying Brand Values Through Your IVA, Part I

    Before we begin working with a new customer, we’re often asked how an Intelligent Virtual Assistant (IVA) can convey a company’s brand. Too often we see IVAs being considered as just a tool of the contact center, and brand is simply thought of as a color scheme and a logo. In reality, the goal of [...] Read more >

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    | December 20, 2016
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    TMT News Recognizes Next IT With 2016 Technology Award

    We’re excited to announce that TMT News Magazine has honored Next IT with a 2016 Technology Award. Next IT was recognized for Best Customer Experience & Workforce Support AI Solutions. TMT News covers innovation and trends at the intersection of technology, media and telecommunications, areas in which we at Next IT are also very active. [...] Read more >

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    | December 16, 2016
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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
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    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
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    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
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    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
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    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

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