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Artificial Intelligence

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  • Reimagining the Contact Center with Bots & AI
    Reimagining the Contact Center with Bots & AI
    Abinash Tripathy, Co-founder, Helpshift Recorded: Dec 13 2018 62 mins
    Bots, artificial intelligence, and messaging — cost-effective, easy-to-implement automation technology —- is gaining a major foothold in customer service organizations, and the impact is palpable. Contact centers are on track to shrink by 50 percent in the next three years as routine tasks are taken over by faster, efficiency-saving bots that can triage requests, boost customer satisfaction, and offer an 8.6 percent increase in profit margin per customer.

    These technologies are also making it easy to tap into the gig economy, which is producing a growing supply of tech-savvy labor for companies that also saves costs. For workers, it means flexible arrangements with low barriers to entry, plus more satisfying employment, now that the grunt work has been eliminated by automation.

    AI and automation is set to level up the workforce, the economy, and your bottom line. For a closer look at the long-term implications of automation, how to invest in the brave new world of work, and more, don’t miss this VB Live event!

    Attend this webinar and learn:

    * The workforce implications of customer service bots
    * How bots and employees can work side-by-side
    * What smart companies are doing to lay the groundwork
    * Future of work - what does it look like?

    Speakers:

    * Abinash Tripathy, Co-founder, Helpshift
    * Peter Ryan, Principal Analyst, Ryan Strategic Advisory
    * Stewart Rogers, Analyst-at-Large, VentureBeat
    * Dilan Yuksel Moderator, VentureBeat

    Sponsored by Helpshift
  • What You Must Know to Build AI Systems That Understand Natural Language
    What You Must Know to Build AI Systems That Understand Natural Language
    David Talby, CTO at Pacific AI Recorded: Dec 13 2018 59 mins
    New AI solutions in question answering, chatbots, structured data extraction, text generation, and inference all require deep understanding of the nuances of human language. David Talby shares challenges, risks, and best practices for building NLU-based systems, drawing on examples and case studies from products and services built by Fortune 500 companies and startups over the past six years. David also highlights some of the differences between language understanding and other machine learning and deep learning applications.

    Topics include:

    - What gave natural language understanding its reputation as an “AI complete” problem
    - The many languages we speak every day and the resulting need to train domain-specific NLP models for most systems
    - The evolution from “traditional” machine learning and information retrieval techniques to current state-of-the-art systems, covering both the “simple” parts of common NLP Q&A or bot solutions and where “advanced” AI fits in
    - Guidelines to architecting a system that trains and serves large, current, accurate domain-specific NLP models using open source software

    David Talby is a chief technology officer at Pacific AI, helping fast-growing companies apply big data and data science techniques to solve real-world problems in healthcare, life science, and related fields. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, Agile, distributed teams. Previously, he was with Microsoft’s Bing Group, where he led business operations for Bing Shopping in the US and Europe, and worked at Amazon both in Seattle and the UK, where he built and ran distributed teams that helped scale Amazon’s financial systems. David holds a PhD in computer science and master’s degrees in both computer science and business administration.
  • Business Transformation with Machine Learning and AI Use Cases on Google Cloud
    Business Transformation with Machine Learning and AI Use Cases on Google Cloud
    Manju Devadas, CEO, Pluto7 Recorded: Dec 12 2018 59 mins
    In this webinar the audience will learn how Machine Learning and AI is being adopted in the real-world working with Google.

    Google uses 4000+ machine learning models to run everything from their search engine, to Gmail and much more. The same infrastructure is now being used across multiple industries like supply chain, retail, manufacturing, and health care, to solve a myriad of problems like:

    - Improving the taste of beer
    - Beating humans in forecast accuracy
    - Driving delivery of fresher fruits and helping online retailers reduce inventory carrying costs by over 50%
    - and much, much more.

    All this is being accomplished in ways that were never imagined before using machine learning and AI technology.

    In this webinar we will walk you through how customers of all sizes are going through this digital transformation and how these results signal a huge wave ahead for businesses worldwide.

    Manju Devadas is CEO of Pluto7, a Google “Global Breakthrough Partner of the Year” finalist company focused on Machine Learning and AI. At Pluto7, Manju utilizes his 17+ years of experience in predictive analytics to transform business on Google Cloud Provider (GCP). He believes that the next 10 years will be the age of machines and companies like Google and Pluto7 are early adopters.
  • How smart companies use voice and bots to get and keep more customers
    How smart companies use voice and bots to get and keep more customers
    Bharath Kadaba, Chief Innovation Officer, Intuit Recorded: Dec 11 2018 60 mins
    The landscape of voice and chatbot-to-customer interactions is blowing up. Whether it’s a trusted AI assistant like Alexa or Google Home, or an integrated voice or chatbot tool within a brand interface like Kayak’s customer service experience, customers are increasingly willing to engage with brands via voice chat.

    AI assistants are getting smarter, and becoming capable of helping consumers sort through the avalanche of choices available in every decision, from buying phone plans to toothbrushes. And your marketing efforts will have to shift priorities in a major way to capture the attention of these newly connected customers as assistants get smarter and customers learn they can rely on their results.

    To hear about actual voice chat use cases, the differences between integrated bots and AI assistants, and how to leverage voice and bots for amaze-and-delight experiences right now, don’t miss this VB Live event!

    Register here for free.

    Attend this webinar and learn:
    * How bots and voice are uniquely positioned to help customers make purchasing decisions
    * How brands can address the advantages of integrated bots and an AI trusted assistant like Alexa
    * The best ways to leverage voice and bots to optimize the customer experience
    * What's next for voice and bots

    Speakers:

    * Bharath Kadaba, Chief Innovation Officer, Intuit
    * Ryan Lester, Director, Customer Engagement Technologies, LogMein
    * Matthias Keller, Chief Scientist & SVP Technology, Kayak
    * Russ Tar, VP EMEA, Artificial Solutions
    * Rachael Brownell, Moderator, VentureBeat

    Sponsored by Bold360 by LogMeIn
  • [Ep.23] Ask the Expert: The Future of Artificial Intelligence
    [Ep.23] Ask the Expert: The Future of Artificial Intelligence
    Florian Douetteau, CEO of Dataiku and Erin Junio, Content Manager at BrightTALK Recorded: Nov 6 2018 48 mins
    This webinar is part of BrightTALK's Ask the Expert series.
  • Leveraging AI to boost customer acquisition, engagement, and retention
    Leveraging AI to boost customer acquisition, engagement, and retention
    Brian Witlin, CEO, Yummly Recorded: Oct 30 2018 61 mins
    Your instincts are good — but AI can make them flawless. With AI, every time a customer engages with your brand, you’re making that moment really count.

    Add AI powered predictive analytics to ensure the right message at the right time, targeting is accurate and high-value, and customer support is proactive. Automate chat-based customer service, and give your agents more info off the top. Level up the shopping experience by offering the right products at the right time — and add contextual conversation to narrow their choices down.

    Customers want this kind of service and attention. And if you can’t deliver, they’re going to find the company that can. So don’t miss this VB Live event, where you’ll learn more about being relevant to your customers, making their engagement meaningful, and more!

    Register now for free!

    Attend this webinar and learn:
    * How AI levels up personalization and customer engagement
    * How to use AI-fueled data analytics to create tactical marketing plans.
    * How to create personalized moments without being creepy
    * How to increase real and effective relevance to customers across channels

    Speakers:
    * Grant Langston, CEO, Eharmony
    * Dave Gerhardt, VP Marketing, Drift
    * Brian Witlin, CEO, Yummly
    * Moira Dorsey, Founder, Dorsey Experience

    Sponsored by Drift
  • Analytics Driven Personalized Healthcare Using Machine Learning and AI
    Analytics Driven Personalized Healthcare Using Machine Learning and AI
    Lonny Northrup, Sr. Health Informaticist, Intermountain Healthcare Recorded: Oct 25 2018 62 mins
    Progressing from decades of data and analytics work to improve healthcare outcomes, Intermountain Healthcare is moving to a new generation of analytics driven by machine learning and augmented intelligence. Our analytics maturity has progressed along this continuum:



    Descriptive (what happened)
    Diagnostic (why it happened)
    Predictive (what is likely to happen)
    Prescriptive (what should we do)
    Personalized (what should “I” do)


    Learn how personalized analytics in healthcare is improving patient satisfaction and success, reducing readmissions and clinical utilization and helping people to live the healthiest lives possible.
  • Five Ways to Prepare for AI in Sales, Marketing and Beyond
    Five Ways to Prepare for AI in Sales, Marketing and Beyond
    Nathan Decker, Director of eCommerce, evo Recorded: Oct 24 2018 61 mins
    Enterprise preparation for AI has centered almost exclusively on data prep and data science talent. While without data there would be no AI, enterprises that fail to ready the broader organization, chiefly people, process, and principles, don’t just stunt their capacity for good AI, they risk sunk investment, jeopardize employee trust, brand backlash, or worse.

    Ensuring sustainable deployment starts with assessing enterprise data strategy, aligning myriad stakeholders, technological feasibility assessment, and a coordinated approach to ethics.

    Join VentureBeat and industry analyst and founding partner of Kaleido Insights, Jessica Groopman for discussion on the five fundamentals of AI readiness at our upcoming VB Live event!

    Attend this webinar and learn:
    * What you need to do to prepare for AI-- beyond the data science team
    * Real-world examples and research findings
    * Top 5 best practices for strategic AI implementation

    Speakers:
    * Nathan Decker, Director of eCommerce, evo
    * Ken Natori, President, Natori Company
    * Jessica Groopman, Industry analyst and founding partner of Kaleido Insights
    * Rachael Brownell, Moderator, VentureBeat
  • Architecting an Open Source Data Science Platform: 2018 Edition
    Architecting an Open Source Data Science Platform: 2018 Edition
    David Talby, CTO, Pacific AI Recorded: Oct 23 2018 62 mins
    Join David Talby of Pacific AI as he updates the best practices and techniques for building an open source data science platform.
  • Business Transformation with Machine Learning and AI Use Cases on Google Cloud
    Business Transformation with Machine Learning and AI Use Cases on Google Cloud
    Manju Devadas, CEO, Pluto7 Recorded: Oct 23 2018 59 mins
    In this webinar the audience will learn how Machine Learning and AI is being adopted in the real-world working with Google.

    Google uses 4000+ machine learning models to run everything from their search engine, to Gmail and much more. The same infrastructure is now being used across multiple industries like supply chain, retail, manufacturing, and health care, to solve a myriad of problems like:

    - Improving the taste of beer
    - Beating humans in forecast accuracy
    - Driving delivery of fresher fruits and helping online retailers reduce inventory carrying costs by over 50%
    - and much, much more.

    All this is being accomplished in ways that were never imagined before using machine learning and AI technology.

    In this webinar we will walk you through how customers of all sizes are going through this digital transformation and how these results signal a huge wave ahead for businesses worldwide.

    Manju Devadas is CEO of Pluto7, a Google “Global Breakthrough Partner of the Year” finalist company focused on Machine Learning and AI. At Pluto7, Manju utilizes his 17+ years of experience in predictive analytics to transform business on Google Cloud Provider (GCP). He believes that the next 10 years will be the age of machines and companies like Google and Pluto7 are early adopters.

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