20 - 20 October 2021

Conversational AI in Retail Summit Conversational AI in Retail Summit schedule

Conversational AI for Enterprise Summit



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  • CONVERSATIONAL AI FOR ENTERPRISE SUMMIT

  • Time in PDT

  • 08:00
    Jinjin Zhao

    WELCOME

    Jinjin Zhao - Manager of ML Science & Engineering - Amazon

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    Jinjin is a Senior Applied/ML Scientist at Amazon with 6+ years of research and practical application experience in a few domains (Supply Chain, Retail, Advertising and recommender systems, Voice assistant, AI Education). Jinjin has been devoted to AI Education since early 2018. During the past 2-3 years, she was able to publish 10 research papers at various conferences (ACM [email protected], AAAI, EducationDataMining, etc) and there are more under double-blind peer review. She is enthusiastic at research and bringing researchers together for bigger wins and also leads the dWdt initiative for mentoring and guiding junior scientists and engineers for their growth in research and practical AI applications.

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  • CONVERSATIONAL AI FOR ENTERPRISE: CURRENT LANDSCAPE

  • 08:05
    Shivani Poddar

    How to Transform your Company with Conversational AI - 3xing Product, People and Processes

    Shivani Poddar - Tech Lead (Machine Learning/AI) - Facebook

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    How to Transform your Company with Conversational AI - 3xing Product, People and Processes

    Why is it that traditionally the area where assistants are most valuable are corporate/enterprise settings, however the most pervasive are personal assistants? Why is it that the average Joe who has never had a human assistant is expected to leverage a digital one? Answering these questions leads us to one of the most underutilized markets in the world of conversational AI, Enterprise/Corporates. With this talk I explore the next leaps that conversational AI can make (and is making), from building contextualized transcriptions, note taking, meeting summaries to scheduling meetings and reminders, how conversational AI is ready to disrupt businesses of today and tomorrow. While we explore the possibilities of tomorrow, I will also chalk out some of the pitfalls of these systems, and how to hedge against them both as a developer and as a business employing these conv AI systems.

    Key Takeaways:

    • State of conversational Assistants for Enterprise Use cases

    • Key areas where conv AI is ready to disrupt the market

    • Pitfalls of these conv AI systems and how to avoid them

    Shivani is an machine learning engineer on the Facebook Assistant team working on both the product and research arms around machine learning reasoning for assistants, and multi-modal assistants of the future. Before Facebook, she was at Carnegie Mellon University, where she helped build the CMU Magnus system for social chit chat ground up for the first wave of Amazon Alexa Prize Challenge. She has also published work on modeling user psychology, and building argumentation systems that help in negotiation. Her research background spans across-disciplines such as computer science, psychology and machine learning.

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  • 08:30
    Bala Maddali

    How Conversational AI is Influencing Retail Transformation

    Bala Maddali - Director, Conversational AI - Verizon

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    How Conversational AI is Influencing Retail Transformation

    CX Digital: Conversational practice is equally focused on how Conversational AI can help our customers and employees. Our strategy on Digitizing the Humans via capabilities like Agent Assist enables our agents to have personalized, contextual, and impactful conversations with Customers.

    Key Takeaways:

    • Extreme integration of AI with Humans unlocks more value.

    • In the Age of Ai and Bots, we have successfully showcased a unique combination of AI + Humans that makes the difference not one over the other.

    • When rightly positioned and executed AI is a friend rather than a foe.

    Bala Maddali is an innovator, strategist, influencer and insights-driven leader who is passionate about the convergence of people, process, experience and technology. He is currently leading the Ai-Driven conversational experiences for the Verizon Consumer group. He has a proven track record in leading and driving strategy to execution on large transformations.He has 12 patents in the area of Mobile and TV second screen convergence experiences.

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  • 08:55
    Komal Dhuri

    Real-world Conversational AI: Context is King!

    Komal Dhuri - Senior Data Scientist - Walmart

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    Real-world Conversational AI: Context is King!

    It is a human's tendency to express their intent through a very fluid and potentially ambiguous multiturn dialogue, taking most of the context for granted, rather than a sequence of fully specified commands. Humans communicate their needs to a Conversational AI in a similar manner. The attention-based language models have proved that to understand the correct context of a sentence it is important to focus on certain parts of a sequence and the relationship between them. Drawing parallels from the same we have learned that to perform accurate actions at any given time we have to learn the relations between the current user query and some valuable parts from the previous turns in a multiturn dialogue. With this talk, we will like to focus on various aspects of conversational and retail-oriented context.

    Key Takeaways :

    • Difficulties in Conversational Retail.

    • Forms of context for retail assistants

    • Importance of designing NLU components with context to attain friction-less and goal-oriented retail AI

    Komal is a former Masters' student from Stony Brook University and an active enthusiast of Natural Language Processing, Search Engines, Recommendations, and Deep Learning. She is currently working as a Senior Data Scientist-NLP Research at Walmart Labs in the Emerging Tech org. She works extensively on context oriented and multimodal NLU components of Walmart’s Conversational Assistant. Prior to working at Walmart Labs, she worked at DMAI developing voice-based Educational AI for young children to help with their reading and speech abilities.

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  • 09:20

    COFFEE BREAK & 1:1 NETWORKING

  • CONVERSATIONAL AI IN ENTERPRISE: NLP IN RETAIL

  • 09:30
    Alex Shee

    Driving New Revenue Streams Through NLP

    Alex Shee - VP Development and Strategy - Sama

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    Driving New Revenue Streams Through NLP

    Natural Language Processing (NLP) is a field that is rapidly evolving. Having previously been on the periphery of AI advancement due to the complexity of human interaction and the lack of proven ROI, NLP is now becoming common practice among forward-thinking businesses, whether this is to support customer services, provide value-added services, or automate internal operations. In this session, we examine real-life use cases of NLP that have graduated from production to implementation and explore how businesses can take advantage of the technology.

    Alex is an executive at Sama that leads Corporate Development and Strategy. He is working on building an AI business ecosystem around Sama's platform. His role encompasses Partnerships, Corporate Development and Go-To-Market strategy.

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  • 09:55
    Fabon Dzogang

    AYO - An Engaging Chatbot for Customer Services and Fashion Chit-Chat

    Fabon Dzogang - Lead Scientist on Conversation AI - ASOS.com

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    AYO - Building an Engaging Chatbot at ASOS

    We compare the performance of customer intent classifiers designed to predict the most popular intent received through ASOS.com Customer Care Team, namely order related issues (e.g “Where is my order?”). These queries are characterised by the use of colloquialism, label noise and short message length. We present the results of extensive experiments for two well established classification models: logistic regression via n-grams to account for sequences in the data and recurrent neural networks that perform the extraction of sequential patterns automatically. These models are calibrated to perform above Human performance (0.93 precision), revealing a small difference in Recall of 0.05 for the neural networks (training under 1hr), and of 0.07 for the linear n-grams (training under 10’).

    Key Takeaways:

    • Simple linear models are a judicious choice of model architecture in modern AI production systems. We then leverage recent advances in pre-trained neural networks to offer an engaging experience to 20+ fashion lovers by learning to answer Frequently Asked Questions from small training sets and by learning to reply to Chit-Chat messages from fine-tuning Blender in the fashion domain.

    • Large language models (e.g GPT3) used as synthetic data generators can improve the detection rate on small volume intents. When the language model can be fine-tuned, training from public conversations on Reddit will endow the chatbot with interesting chit-chat replies.

    Fabon obtained his PhD in Computer Science in 2013 “on Learning and Representation from Texts for both Emotional and dynamical Information” at the University of Pierre et Marie Curie, DAPA department (LIP6). After graduating he held a post-doctoral position at LIP6, researching interpretable models for the classification of multivariate time series’ data. At this time he grew an interest in the analysis of time series’ data, and in the Fourier transform as a mean to extract meaningful features from data. He later joined the University of Bristol as a Research Associate in 2014 investigating efficient machine learning algorithms for data streams, and researching models to study our human behaviours at a collective level via the detection of periodic patterns in the social media or in large samples of press archives. Since 2018 Fabon is Lead Scientist ConversationalAI at ASOS.com working on the development of new NLP technology for Chatbot applications.

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  • 10:20

    BREAKOUT SESSIONS: ROUNDTABLE DISCUSSIONS WITH SPEAKERS

  • 10:45

    COFFEE BREAK

  • 10:55

    PANEL: How Can We Deliver Seamless Experiences with Conversational AI in Retail?

  • Shyamala Prayaga

    Moderator:

    Shyamala Prayaga - Product Owner - Digital Assistant - Ford Motor Company

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    As a product owner for the Autonomous Digital Assistant, Shyamala currently leads the company-wide Ford's Autonomous Digital Assistant innovation for voice and chatbots by owning the roadmap and overall vision and working with cross-functional teams to bring that vision to reality.

    She is a self-driven evangelist for UX and voice technology and recognizes the societal and cultural benefits of voice tech evolution. She possesses the insight and knowledge that comes with experience and leadership from her technical, development, and design roles. Her design and research work is presented nationally and internationally to general and field-specific audiences, and she has 18 years of experience designing for mobile, web, desktop, and smart TV interfaces.

    Shyamala has more than six years of experience designing voice interfaces for Connected Home Experience, Automotive, and Wearables. Publications: Her work on research into usability, accessibility, speech recognition, multimodal voice user interfaces, and user interfaces for research and educational use cases has been published internationally, and her interviews have been published with several magazines and podcasts, including Forbes, the healthy code, Automotive, and TU-Auto magazines.

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  • Sylvain Perron

    Panelist:

    Sylvain Perron - CEO & Co-Founder - Botpress

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    Sylvain Perron is the co-founder and CEO of Botpress, the platform for developers to build the chatbots with the best available technology, without the need for a team of data scientists & machine learning experts. He started learning programming at a very young age to automate tasks and solve everyday problems. Before completing his bachelor’s degree in software engineering at Université Laval, Sylvain worked for several years as a developer at Protorisk Limited, finishing his time there as Chief Technology Officer. Botpress is privately held and based in Quebec.

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  • Jean-Leah Njoroge

    Panelist:

    Jean-Leah Njoroge - Director - Conversational AI - Lowe's Companies

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    Passionate about harnessing AI & Machine Learning at the intersection of Science, Technology and Engineering, Jean has led teams and developed models for leading universities and Fortune 100s – benefitting customer experience, patent mining, manufacturing and more. Leveraging big data analytics, she has guided technology innovation from idea to commercialization and/or implementation and partnered with C-Suite and Executive stakeholders to mastermind innovation that supports business strategy.

    Currently, as a Director of Conversational AI as Lowe’s, Jean where she is focusing on the development and optimization of Lowe’s Conversational AI models such as Natural Language Understanding, Named Entity Recognition, and Text Mining to create a seamless customer dialogue experience.

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  •  Jayesh Govindarajan

    Panelist:

    Jayesh Govindarajan - SVP of Data Science & Engineering - Salesforce

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    Jayesh is the Senior Vice President of Data Science and Engineering at Salesforce. He leads Einstein for CRM -- a suite of machine learning services to automate customer interactions and enhance productivity for sales and service agents. Jayesh also oversees Einstein Bots, a platform that powers conversational AI and automation across all Salesforce clouds . Jayesh joined the company in 2016 through the acquisition of his data science startup, MinHash. Prior to founding his own company, Govindarajan spent nearly a decade in engineering leadership roles at Oracle and Avaya. He received his Master’s in Computer Science from WPI.

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  • 11:30

    MAKE CONNECTIONS: MEET WITH ATTENDEES VIRTUALLY FOR 1:1 CONVERSATIONS & GROUP DISCUSSIONS

  • 12:00

    END OF SUMMIT

Conversational AI for Enterprise Summit

Conversational AI for Enterprise Summit

20 - 20 October 2021

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