CONVERSATIONAL AI SUMMIT
Conversational AI is being leveraged by organizations across the board in the form of text chatbots, and voice assistants which use NLP to look beyond rules to truly understand intent and deliver a great user experience. By effectively automating these customer interactions, they can scale their business operations very quickly. Companies have made several recent advances in terms of leveraging big data to deliver highly personalized and relevant content and integrating all their systems to ensure that the virtual agent is able to ‘hold the conversation’ and provide a seamless and delightful interaction for the user.
In implementing these AI technologies, organizations need to also focus on some of the big picture concerns around fairness, explainability, and gender neutrality of these virtual agents.
Hear from industry-leading practitioners and luminaries who will talk about their journeys and learnings in implementing these technologies, how they unlocked value/ROI from them, and their thoughts about what the future holds.
DAY 2 Agenda
Diversity & Inclusion Panel Discussion, Virtual Breakfast & Networking
How AI can benefit from having a more diverse and inclusive team
It is a well-accepted fact that diverse teams with different worldviews, cultures, and thought processes are more innovative, creative, and perform at higher levels than those that lack this diversity. Applying this same learning to AI, it is important that AI models are also built by and learn from a diverse team. Moreover, it is a moral imperative, because it ensures fairness. How can organizations build such diverse AI teams and help make their AI more robust and fair? Join a select group of senior industry executives in this 60-minute roundtable which includes a panel discussion to brainstorm and exchange ideas.
Justin Norman, Vice President, Data Science, Yelp
Will Griffin, Chief Ethics Officer, Hypergiant
Ayodele Odubela, Data Scientist, SambaSafety
Yakaira (Kai) Núñez, Senior Director, Research & Insights, Platform Products, Salesforce
Moderated by Krystal Maughan, Ph.D. Candidate with focus on Machine Learning, Differential Privacy & Provable Fairness, University of Vermont
7:30 AM –
9:00 AM PT
9:00 AM –
9:15 AM PT
Opening remarks from Linden Hillebrand, VP Global Customer Success and Support, Cloudera
9:15 AM –
9:40 AM PT
FIRESIDE CHAT Zero to Helpful in 2.2 seconds: A Platform Approach to Business Specific AI Capabilities
More than ever, today’s environment calls for analytics agility as businesses seek data-powered understanding, preparedness and execution. Cloudera, the enterprise data cloud company, serves the top enterprise organizations in every industry who rely on its world-class support organization for answers to technical questions. Part of agility means getting effective support without waiting, and Cloudera was able to build and deploy a support chatbot, intelligently answering customer questions upon launch, in less than a month. If you’re familiar with what’s involved, that likely sounds fast.
Cloudera needed its customers to be able to describe their issues in natural language and receive instant answers and pointers to relevant knowledge articles, however commercial chatbot software doesn’t provide this capability out-of-the-box. Rapidly instilling a chatbot with sophisticated, business specific knowledge to be helpful to customers on deployment day one required quickly gathering and preparing the right data and applying a composite of multiple analytics and machine learning techniques. Having a flexible, open platform for multi-function analytics on shared business data made it possible.
In a fireside chat with industry analyst Sam Charrington, Cloudera’s Director of Internal Systems Engineering will share how Cloudera uses its own software, the Cloudera Data Platform, to enable a factory-like approach to rapidly building and deploying enterprise specific AI capabilities, and how other companies can, too.
Adam Warrington, Senior Director, Engineering, Cloudera
In conversation with Sam Charrington, Host, TWIML
9:40 AM –
10:05 AM PT
FIRESIDE CHAT How Adobe’s 22K+ employees are leveraging Conversational AI & automation bots during COVID-19 and the shift to Work from Home
Adobe has been implementing conversational AI and automation bots in new ways during the company’s shift to work from home during the COVID-19 pandemic. Adobe implemented AI bots for its 22K+ employees to communicate internally and raise tickets efficiently.
AI and machine learning will take IT on the next wave of driving value for businesses and fundamentally change the role of the CIO. With advancements in artificial intelligence, human and virtual workforces are coming together to take the human element out of repetitive IT tasks, and shift to higher value work. Adobe SVP and CIO Cynthia Stoddard will discuss how Adobe is making AI & automation a strategic priority to drive efficiency and scale through leveraging it as a business enabler, and best practices for companies looking to implement AI into their own business processes.
Cynthia Stoddard, CIO & Senior Vice President, Adobe
In conversation with Hari Sivaraman, Head of AI Content Strategy, VentureBeat
10:05 AM – 10:30 AM PT
FIRESIDE CHAT The Power of Personalized Proactivity in AI Assistants
Long before the unprecedented disruption of the 2020 pandemic, Capital One set forth on a digital transformation journey with the mission to build better relationships between customers and their money. This journey led to the development of a number of enabling digital tools, namely Eno, the gender-neutral, natural-language, intelligent assistant with proactive capabilities from Capital One. Eno is the intelligent backbone behind many of Capital One’s digital customer experiences. With 15 proactive features - including alerts for free trial expirations, charitable donation summaries, unusually large tips, and double swipes - Eno empowers millions of customers to have more confidence and control over their financial lives. So, how did they do it? The first step was understanding customer need and adapting to those needs. Customers want experiences that are interactive, personalized, contextual and humanity driven. With this in mind, Capital One incepted Eno, building their machine learning platforms and natural language processing in-house with the collaboration of a diverse design, product and engineering team who shaped who Eno is today and who continue to ensure Eno evolves to meet customer needs. Hear from Ken Dodelin, Vice President of Conversational AI at Capital One, about the increasing importance of personalized proactivity in AI assistants, as well as insights and lessons learned through his team’s multi-year product development journey with Eno.
Ken Dodelin, VP Conversational AI Products, Capital One
In conversation with Matt Marshall, Founder & CEO, VentureBeat
10:30 AM –
10:45 AM PT
Virtual Networking & Break – Stand up, stretch, grab a coffee or tea and connect with speakers and attendees virtually
10:30 AM –
11:15 AM PT
Executive Forum Roundtable – How AI is transforming retail & e-commerce, from personalized shopping to customer delight.
Retail e-commerce is arguably the sector impacted most by artificial intelligence and digital transformation. It is today more competitive than ever before, as both brick and mortar and online retailers vie for a share of the consumer spending pie. Using conversational AI and other machine learning techniques to optimize customer engagement, retailers can create highly personalized and frictionless shopping experiences. They can leverage AI to customize products and services and make proactive recommendations based on interests. They can use consumer data to target and market their products to specific target groups of consumers. They can open up new sales channels by leveraging IoT devices running sophisticated AI on the edge. They can facilitate in-store shopping experience digitally by leveraging AR/VR. And they can ensure authenticity of consumer reviews with algorithms that detect fraudulent reviews. Join a select group of senior industry executives in this 45-minute roundtable to brainstorm and exchange ideas.
Presented by Globant
Moderated by Juan Bertiche, Partner, Globant
Dariyus Setna, EVP & Regional Manager Director, Globant
Bill Forbes, Director of Mobile App Engineering, GAP
10:45 AM –
11:10 AM PT
PRESENTATION Can we trust a Machine to be fair? How to address the challenge of bias in conversational AI algorithms
Google went through trillions of sentences of its ML training corpus, in an effort to eliminate bias in it’s conversational AI assistant. But that was Google, which operates at a scale unreachable by most others. So if there are lessons from Google’s front-runnings status about how to mitigate bias, what would they be?
AI relies on ML training data that might include many biases (across gender, or race for instance), resulting in unfairly biased AI solutions across speech/conversations, image recognition, translations, and many more areas. As an AI leader and an AI-first company, Google recognizes the tremendous responsibility to address those. In this session, Barak Turovsky (Product Director of Google AI) will share the challenges of AI biases and Google’s efforts in this critical space. For example, Google successfully detected gender-ambiguous queries and developed special ML models to generate male and female translations. Barak will outline key takeaways for other companies that are using NLP and conversational AI agents, about best practices about mitigating against bias.
Barak Turovsky, Head of Product, NLU, Google AI
In conversation with Noelle Silver, Head of Instruction, Data Science, Analytics and Full Stack Web Development, HackerU
11:10 AM –
11:35 AM PT
FIRESIDE CHAT Creating the World We Want to See: Advances in NLP Research and Beyond
Our definition of "normal" is changing and businesses are rapidly adopting AI in response. It's now more important than ever to consider how we create AI-powered technology that is human-first and drives positive impact. Join Salesforce's Chief Scientist, Dr. Richard Socher, as he outlines some of the research his team works on, particularly in NLP and conversational AI, and discusses how this research can be applied to the enterprise.
Richard Socher, Chief Scientist and EVP, Salesforce
In conversation with Julie Choi, Independent Advisor
11:35 AM – 12:00 PM PT
FIRESIDE CHAT How Twitter is using AI/ML at scale to detect and label fake or hateful tweets
Parag Agarwal, CTO, Twitter, joins Matt Marshall, Founder and CEO, VentureBeat, in a wide-ranging conversation about how Twitter uses AI-powered technology and human moderators to filter billions of tweets a week for content that is false, synthetically manipulated or hateful, prioritizing content that is the most likely to harm. Agarwal will discuss both his personal vision about the CTO's role when it comes to using AI, how Twitter has organized its engineering team to execute it at scale, and cultural changes at play given heightened attention around racial injustice. On the AI bot side, Agarawal will also discuss how Twitter is using technology to thwart foreign and domestic bots from dubious sources that sometimes comment on popular posts to further particular narratives or skew public opinion.
Parag Agrawal, CTO, Twitter
In conversation with Matt Marshall, Founder & CEO, VentureBeat
12:00 PM – 12:25 PM PT
FIRESIDE CHAT Amazon’s working backward approach to Conversational AI
Amazon’s aspiration for Alexa when it was launched in 2014, was to revolutionize daily convenience for customers using artificial intelligence. During this period, we have seen advancements in the foundational components of Alexa’s AI; the number of skills increased from 13 to more than 100,000 via the Alexa Skills Kit, and customer interactions has grown to billions per week.
In this fireside chat, Janet Slifka, Director of Research Science, Amazon Alexa, will share insights on Amazon’s unique approach to research and development, where teams work backward from the customer and/or research problems. She will provide examples of how this methodology has aided in decision making as the Alexa experience has expanded globally – across regions, cultures, and norms – and how a combination of machine learning techniques and AI advances has enabled her team to teach Alexa a new language in a matter of weeks versus months. This session will offer perspective for those businesses deciding between a focus on a specific domain or scaling their service to reach a wider set of customers.
Janet Slifka, Director of Research Science, Amazon Alexa AI
In conversation Dr. Joan Palmiter Bajorek, Head of Conversational Research, VERSA Agency
12:25 PM – 12:40 PM PT
1. Igor Jablokov, CEO & Founder, Pryon; Augmented Intelligence: Automating AI model deployment
AI for All: Just as computing moved from giant mainframes to phones in our hands, the power of AI must do the same. This is especially important in the enterprise so AI can augment the intelligence of every worker to transform business performance and accelerate innovation.
In this Tech Showcase, CEO Igor Jablokov will demonstrate how Pryon provides automated AI. He’ll show real-time content ingestion and the immediate birth of a Conversational AI model for that content. Igor will converse with this brand-new AI model to show that it has become intelligent about the content to answer questions and generate summaries, saving untold amounts of human time and effort.
Pryon makes this augmented intelligence vision a reality by offering automation, accuracy, and scale. If we do not automate AI, then AI only benefits those with access to the limited number of AI and data science experts required to implement today’s solutions. This raises costs and lengthens project implementation times creating a huge barrier to wide adoption.
How does an AI startup help democratize AI? Pryon is run by several of the people who created the core technologies behind Amazon Alexa and IBM Watson and is utilizing AI, ML, and NLP expertise to leapfrog conventional approaches to knowledge management and workflow integration. Pryon’s proprietary technology automatically processes unstructured information like humans do, making millions of subconscious observations that go far beyond keyword recognition. It turns data into “knowledge assets” by reading and comprehending at scale, returning the most salient answers from any set of documents in an instant.
2. Mady Mantha, Senior AI Evangelist, Rasa.com; Empowering citizen developers in NLP & democratizing it for all makers in developer-friendly workflows
In this talk, Mady Mantha will demonstrate two cutting edge machine learning products to deliver far more accurate and performant natural language applications than some of the biggest language models today. These products take what’s proven to work in the latest research and apply it to production to enable all makers to use it reliably.
AI assistants that can understand context and handle complex tasks are transforming business, from internal operations, to banking, to healthcare. But, building enterprise-grade AI assistants requires tools and techniques that go beyond basic FAQ bots and are up to the challenge. In addition, making the latest NLP advances available in developer friendly workflows to democratize conversational AI has been instrumental in cutting cost and increasing revenue. Mady will talk about the two new products: A new neural network architecture called Dual Intent and Entity Transformer (DIET) outperforms the popular language model BERT, is 6X faster to train and advances the current state of the art in intent and entity classification. A new dialogue architecture (Transformer Embedding Policy- TED) that handles complex, multi-turn interactions with fewer training examples and data to make truly contextual assistants a reality. Mady will show how both DIET and TED are available in developer friendly workflows that free up valuable developer and product teams’ time and empower all makers to meaningfully contribute to conversational AI product development and drive measurable value.
3. Krishna Gade, CEO & Co-founder, Fiddler.ai; From Black-boxes to Glass-boxes: making AI trustworthy and explainable for all enterprises
Fiddler is building the next generation of AI: explainable AI, which works to make AI black-boxes more like AI glass-boxes. Explainable AI provides the level of visibility needed for teams to have 100% confidence in what they’re building. For instance, a pioneer in Responsible AI in the HR industry uses Fiddler to increase transparency and mitigate bias in its tech talent marketplace.
Fiddler’s Explainable AI Platform unlocks the AI black box and ensures humans thoroughly understand the “why” behind AI predictions. Fiddler achieves this by using industry-leading explainability algorithms, including FIDL, Fiddler’s proprietary implementation of Shapley, which adds confidence intervals and point-level attributions to enable deeper understanding of trends and variances within subsets of global datasets via attribution clustering. With FIDL, users can easily identify the top 10, 20, or more attributes that contributed to a specific individual outcome or the outcomes of a specific category of users, thereby enabling more targeted measures to be taken to improve model performance and drive business KPIs.
12:40 PM – 1:30 PM PT
Virtual Networking & Lunch Break – Refuel and connect virtually with industry executives
12:45 PM – 1:30 PM PT
Executive Forum Roundtable – How media and entertainment companies are leveraging AI to bring the best content to your screens.
No other industry has been as all-pervasive and game changing in modern times as media and entertainment. It has touched a vast majority of lives on the planet and changed the way we interact with each other and the way we consume information. This industry is also one where the applications of AI and machine learning are having profound impact. From using computer vision to label content and enabling consumers to search for the information that they are looking for, to enabling interactive communication using conversational AI, to personalized recommendations using machine learning algorithms, to making our IoT devices smarter with edge computing, this industry is being transformed from inside out. Join a select group of senior industry executives in this 45 minute roundtable to brainstorm and exchange ideas.
Moderated by Alexis Crowell, Head of IoT Marketing, Intel
Rick Hack, Head of Media & Entertainment Partnerships, Intel
Randy Greenberg, Executive Producer, Advisor, Consultant, and Expert Witness, Greenberg Group
Rich Tang, Vice President, Insights & Analytics, Ticketmaster
1:30 PM –
2:15 PM PT
PANEL Titan Panel: What's next in Convo AI? Big trends in AI/ML such as explainability, fairness, security, & automation and their effect on Conversational AI/ Virtual Agents
Conversational AI has become one of the most important applications for enterprises today. The world of language-based AI is constantly evolving and as businesses around the world look to leverage these technologies to enhance their customer experience, we look at some of the big trends that are emerging such as vast improvements in machine-understanding, ensuring that the output of the algorithm is explainable and fair; ensuring that the conversations that customers are having with the AI assistant are secure and private; allowing oversight of the content that the agent is sharing, and training these agents with automation while ensuring a high degree of accuracy.
Barak Turovsky, Head of Product, NLU, Google AI
Prem Natarajan, VP of Alexa Artificial Intelligence & Head of Natural Language Processing, Amazon
and more to be announced
Moderated by Rachel Payne, Managing Director, Head of Technology and Innovations, FullCycle
2:15 PM –
2:45 PM PT
FIRESIDE CHAT Making sure your AI agent can 'Hold the Conversation'; the evolution towards a more natural and continuous conversation driven by NLU
The ability to talk to machines has been around for a long time, but we still have a way to go towards a truly natural conversation. Advancements in language understanding are allowing us to move beyond a command and control relationship towards a more natural and effortless way to engage with technology. Yet, designing conversations with AI can seem deceptively simple: Is it natural sounding? Does it have context of the previous conversations? Can it understand ambiguity? In this session, we’ll discuss how research advancements like on-device models, RNN-Ts, multilingual models and using artificial speech data have transformed our ability to process complex conversations, and why truly natural engagement is core to successful interactions. Product lead Valerie Nygaard will talk about how Google’s advanced research comes to life by using AI to enable faster, better experiences: It powers Google Assistant’s ability to answer open-ended questions, understand simple commands -- like just saying “stop” to turn off an alarm -- and ask a follow up question within known context, making interacting by voice much easier than before. It is also behind Duplex, a cutting-edge conversational AI technology that is able to respond naturally in phone conversations, saving people time and effort when booking reservations or getting information about local stores. Finally, she will share behind-the-scenes learnings as the industry continues to build on the latest speech technology.
Valerie Nygaard, Product Lead, Google Assistant & Duplex
In conversation with Noelle Silver, Head of Instruction, Data Science, Analytics and Full Stack Web Development, HackerU
2:45 PM – 3:00 PM PT
The importance of Black-owned businesses in AI and enterprise tech
Rodney Sampson, Executive Chairman & CEO, OHUB
In conversation with Matt Marshall, CEO, VentureBeat
2:45 PM – 3:30 PM PT
Executive Forum Roundtable – How Intelligent Virtual Assistants are changing the game in Technology & Telecommunications
Come to this session to learn how Intelligent Virtual Assistants (IVAs) are changing the way Technology and Telecom organizations are attracting, acquiring and growing their customers at scale. In this roundtable discussion we’ll discuss:
Trends in the Adoption of IVAs in Technology and Telecom organizations
Common Challenges and Uses Cases
Best Practices for implementing IVAs
Buy vs Build Considerations and the shift from “wild west” development to guided customization.
Presented by Conversica
Moderated by Shari Johnston, Partner, Account-Based Practice Lead, Winning by Design
Brian Kaminski, Chief Customer Officer, Conversica
Will Webb-Purkis, Senior Vice President, Product Management, Conversica
Rashmi Vittal, CMO, Conversica
2:55 PM –
3:45 PM PT
Dedicated 1:1 Networking Time – Take a long break, re-caffeinate and network with fellow AI community peers
3:45 PM –
4:15 PM PT
PRESENTATION How Oracle Accelerates Revenue Using Intelligent Virtual Assistants
While every business has its own objectives, the overarching goals remain the same: accelerate revenue, streamline processes and create more efficient workflows. Hear how Oracle uses Intelligent Virtual Assistants to drive a 140X ROI on their pipeline creation and augment their revenue-generating teams. Join Jim Kaskade (Conversica CEO) in conversation with Kevin Colosimo (Sr. Director of Digital Strategy and Innovation Oracle) as they discuss the 'how' of their Conversational AI implementation journey, and what it took to change hearts and minds within Oracle to adopt an augmented workforce with disruptive AI-powered Intelligent Virtual Assistants—and the amazing results achieved.
Kevin Colosimo, Sr. Director of Digital Strategy and Innovation, Oracle
In conversation with Jim Kaskade, CEO, Conversica
4:15 PM –
4:25 PM PT
Diversity & Inclusion Report Back
Krystal Maughan, Ph.D. Candidate with focus on Machine Learning, Differential Privacy & Provable Fairness, University of Vermont