• Rise of Voice Marketing - Brand Success Metrics / Alexa, Google Assistant

    How can developers, product, & marketing leaders leverage the voice channel (Alexa/Google)? Stories and techniques from early adopters working with billion $ brands in retail, food, fashion, and more. Can new entrants leapfrog through voice marketing with Alexa, Google Assistant? How can we apply lessons from China's voice-first success to the West? What is the cost of waiting to enter the voice space? 2017's voice event we featured early adopter stories and trends. Now we have some data for you from 6 speakers. *** Sign up on Eventbrite to ensure a ticket: https://www.eventbrite.com/e/rise-of-voice-marketing-insights-and-early-brand-success-metrics-tickets-62236727728?utm_source=partner&utm_medium=email&utm_content=lfm *** Event Schedule: 6:00 PM Networking & Food, Beer 6:30 PM Kickoff & Sponsors 6:35 PM Matt Hartman, Betaworks Ventures 6:45 PM Brett Kinsella, voicebot.ai 7:05 PM Will Hall, RAIN 7:30 PM Expert Builder Panel Claire Mitchell, Director at VaynerMedia Doug Robinson, CEO of Fresh Digital Group Shilp Agarwal, CEO of Blutag Brandon Kaplan, CEO of Skilled Creative 8:20 PM Q&A / networking Matt Hartman - The Third Wave of Audio - The next wave will be about monetization, discovery, & voice-first interfaces Brett Kinsella - Driving Marketing Channel Success with Alexa and Google Assistant Will Hall - The Distorted Crystal Ball and the Future of Ambient Assistance AI. Voice. Big Data. We are at one of the most profound inflection points in the history of technology. More than just buzzwords, each of these topics contains the very real seeds of transformation and disruption. Over the next 20 years, $16 trillion will be added to the global GDP because of AI; leveraging this moment in time is critical to our success. This talk will explore the impact of China's 2030 AI and how China's evolution portends massive changes for the Western world. The staggering adoption of voice technology in China has revealed key principles that the rest of the world can learn from and apply today. Exploring these topics will provide both cautionary tales and a reliable roadmap for both short and long-term voice technology for brands. Additionally, case studies will be shown across a range of industries that evidence these emerging principles in action today. Expert Builder Panel - Lessons from the front lines Can an Alexa skill drive more foot traffic to a retail store? What is the cost of waiting to enter the voice space? Bots and AI will host a panel of builders that have helped big brands get early success in voice and share with the audience pragmatic advice and substantial use case outcomes, Speaker Bios: Matt Hartman is a partner at Betaworks Ventures. Betaworks invests in companies that change the way we communicate. Betaworks was the first investor in Gimlet Media, Anchor, and about 10 other companies in the audio category. Matt also curates a HearingVoices.xyz, a weekly newsletter about voice interfaces, and hosts the 5-minute daily podcast TLDR Daily, where a smart person shares the "TLDR" ("too long; didn't read") on an article read recently. Bret Kinsella CEO/Founder at Voicebot.ai and host of the Voicebot weekly podcast. Voicebot's goal is to gather in one place the most important news, commentary, research and analysis of voice technology. Will Hall is the Chief Creative Officer at RAIN, leading combined teams of strategists, engineers, and designers. He serves on multiple advisory boards on voice and emerging technology. Over the past 14 years, he's worked at agencies with key clients like Amazon, Adobe, Facebook, Sony, Adult Swim, Puma and others. He is also an adjunct professor of Design at NYU. Sponsors: This event is made possible with the support of VOICE and Betaworks Studios. ** Sign up on Eventbrite to ensure a ticket: https://www.eventbrite.com/e/rise-of-voice-marketing-insights-and-early-brand-success-metrics-tickets-62236727728?utm_source=partner&utm_medium=email&utm_content=lfm **

  • Pillars of Trusted AI: Measure & Quantify Your Machine Learning Practices

    Fairness, safety, reliability, explainability, robustness, accountability—it's hard to argue with these as goals for building trust in AI. These dimensions must be measurable and able to be communicated to show meaningful progress. Much like standardized nutrition labels helped drive more informed consumer choices being able to clearly articulate and compare AI offerings is a big win for all consumers as well as businesses that can differentiate through trust. *** Sign up on Eventbrite to ensure a ticket: https://www.eventbrite.com/e/pillars-of-trusted-ai-measure-quantify-your-machine-learning-practices-tickets-61159217867?utm_source=partner&utm_medium=email&utm_content=lfm *** Join us to explore an open source and research driven initiative tackling this important issue and leave ready with a framework you can measure your own company's initiatives with. Our previous well received event, Ethical AI, raised very clear concerns about AI and data privacy as well as a toolkit for data trust and user experience. This event, Pillars of Trusted AI, focuses more on machine learning aspects and practices and is complementary. Event Schedule: 6:00 PM Networking & Food, Beer 6:30 PM Kickoff & Sponsors (IBM, Betaworks Studios) 6:35 PM David Piorkowski, IBM - Pillars of Trusted AI 7:20 PM Second Speaker - TBD 8:00 PM Extended Q&A followed by networking Presentation Summaries: Talk 1 - David Piorkowski, IBM Pillars of Trusted AI This talk will discuss IBM's vision for Trusted AI framed through five pillars: fairness, explainability, robustness, assurance and the AI lifecycle. Attendees will learn about each of pillars, the challenges unique to each pillar and recent work addressing those challenges and framing communication and clarity around them. Talk 2 - TBD Speaker Bios: David Piorkowski is a Researcher at IBM Research AI. His research interests are at the intersection of AI, Software Engineering and HCI. He is particularly interested in understanding how data scientists and developers reason about AI during development, especially regarding building and communicating trust. Sponsors: This event is made possible with the support of IBM and Betaworks Studios. *** Sign up on Eventbrite to ensure a ticket: https://www.eventbrite.com/e/pillars-of-trusted-ai-measure-quantify-your-machine-learning-practices-tickets-61159217867?utm_source=partner&utm_medium=email&utm_content=lfm ***

  • Conversational AI: How Messaging is Scaling Across the Entire Customer Journey

    As Natural Language Understanding frameworks improve, bots are getting better at detecting and responding to user intent, expanding the use cases in which conversational automation can be applied. We are now at a point where AI-driven bots can handle scenarios across the entire customer journey, from awareness to commerce to care. These new conversational experiences are wrapped in ML-powered, targeted display campaigns, focused on driving people into Bot channels to support everything from marketing/sales/support. Shane Mac from Conversocial and Ryan Maynard from Chatdynamo will explore how advancements in NLU and ML are making apps and websites irrelevant, and driving brands to invest in messaging. A few success stories: - A billion dollar jewelry brand hit 13x ROAS (return on ad spend) - A global sneaker brand's chatbot saw 87% message open rates (4.8x higher than email engagement) *** Sign up on Eventbrite to ensure a ticket: https://www.eventbrite.com/e/conversational-ai-how-messaging-is-scaling-across-the-entire-customer-journey-tickets-59122110825?utm_source=partner&utm_medium=email&utm_content=lfm *** The Dawn of Conversational Advertising Ryan Maynard - CEO, ChatDynamo According to recent surveys, by 2020, 80 percent of consumer brands will have built or will build an Alexa Skill, Google Action or a chatbot for sales and marketing. The ecosystem has grown quickly, creating a rich opportunity for contextual advertising. In this discussion we’ll look at examples of conversational advertising and explore how this trend could disrupt mobile app development, email marketing, and website development moving forward. Adaptive Automation: Combining Bots and Humans within Conversational Customer Experiences Shane Mac - Chief Automation Officer, Conversocial The future isn’t about downloading another app. We are moving into a world where you can do everything with a brand with simply a conversation. A conversation that remembers your preferences, learns over time, and brings people into the dialog when that human touch is needed. Shane Mac takes a look at how forward-thinking brands are building AI-fueled conversational experiences that people love using and driving real business value for businesses and consumers. Next, we explore these topics on a panel with Shane and Ryan. Please send us any questions for the panel to https://m.me/botsandai or at questions[-at-]botsandai.com before, or during, the event! Schedule: 6:00 PM Networking & Food, Beer 6:30 PM Kickoff & Sponsors (IBM, Betaworks Studios) 6:35 PM Ryan Maynard - CEO, ChatDynamo - Dawn of Conversational Advertising 7:05 PM Shane Mac - Chief Automation Officer, Conversocial - Adaptive Automation 7:30 PM Panel: Shane and Ryan on conversational AI for sales and service 8:15 PM Q&A and networking Bios Ryan Maynard is CEO of ChatDynamo- an innovative digital marketing agency working with some of the largest brands in the world. Agency services include Google SEO management, Facebook advertising, chatbot solutions, and lead gen strategies. Prior to founding ChatDynamo, Ryan was Director of Ad Solutions at Kik where he led all new ad product development and worked closely with strategic brand and agency partners on monetizing Kik’s chatbot ecosystem. Ryan has spent over 15 years in ad tech and is an expert in programmatic media buying/selling, native ad serving, and chatbot monetization. Shane Mac is the Chief Automation Officer at Conversocial, where he is responsible for leading adaptive automation innovation for automated consumer messaging experiences. Previously, Shane was the co-founder and CEO of Assist, the leading enterprise chatbot platform for messaging and voice, which was acquired by Conversocial early 2019. In that role, he developed technology that powered some of the world’s largest brands like 1-800-Flowers.com, Sephora, T-Mobile, Hyatt, Fandango, and the NBA; and launched the first commerce experiences on Facebook Messenger and Google Assistant.

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  • Ethical AI: How individuals, businesses, and society can start benefiting today

    After dozens of events on the power and applications of AI, we are proud to feature a special event focusing on exposing some of the risks of AI, and, perhaps more importantly, what can be done. Solutions do exist that can be business, consumer, and society positive. *** Please sign up on Eventbrite to RSVP. https://www.eventbrite.com/e/ethical-ai-how-individuals-businesses-and-society-can-start-benefiting-today-tickets-55036364247?utm_source=partner&utm_medium=email&utm_content=lfm *** Joe Toscano will shed light on some of the dark patterns of modern applications and concerns of job automation. How can regulation be both protective while still supporting innovation? We continue exploring on a panel with Joe Toscano and Nathan Kinch on the risks of information asymmetry and danger of data breaches and how understandable AI and other techniques can rebuild trust. Please send us any questions for the panel to https://m.me/botsandai or at questions[-at-]botsandai.com. Joe will be signing copies of his book, Automating Humanity, and we will be doing a giveaway for a number of copies. BONUS: a special pre-event workshop from Nathan. In the workshop, you'll practically apply the Data Trust by Design toolkit ready to design for trust. Greater Than X is also gifting a copy of their new playbook, Data Trust by Design (launching Feb 8). https://www.eventbrite.com/e/trust-by-design-the-toolkit-to-make-customer-trust-a-competitive-advantage-tickets-55194288603?utm_source=partner&utm_medium=email&utm_content=lfm Event Schedule: 6:00 PM Networking & Food, Beer 6:30 PM Kickoff & Sponsors (IBM, Betaworks Studios) 6:35 PM Joe Toscano, BEACON - Inducing Ethics: How to Regulate the Internet and Make Change 7:20 PM Nathan Kinch, Greater Than X - Trust intro 7:30 PM Panel: Joe Toscano and Nathan Kinch on trust 8:15 PM Extended Q&A followed by networking **Summaries:** Talk 1 - Joe Toscano - Inducing Ethics: How to Regulate the Internet and Make Change Given by former Google consultant and author of Automating Humanity, Joe Toscano, will give you an insider's perspective on everything Big Tech doesn't want you thinking about: everything from the addictions installed to the profits being driven by fake news, to the way they’re manipulating users for profit and using our data to train systems that will automate jobs at an unprecedented scale. Toscano will then critically analyze these issues and suggesting how we can create proactive, adaptable regulation that satisfies both the needs of consumer safety and commercial success globally. - Big Tech, from an insider’s perspective. - Why regulation is so necessary. - What businesses can do to prepare and how to sell the changes to leadership. - What role we play in the changes. Talk 2 and Panel Alec Lazarescu and Joe Toscano will be joined be Nathan Kinch, CEO of Greater Than X and inventor of Data Trust by Design. We'll cover information asymmetry and power imbalances, understandable AI and data breaches, and most of all, we'll talk about techniques that are working with leading organizations to increase data trust and maximize customer and business value. **Speaker Bios:** Joe Toscano is an international award-winning designer and recently-published author who previously consulted for Google, but left due to ethical concerns. He has written Automating Humanity and started the Better Ethics and Consumer Outcomes Network (BEACON), focused on discovering opportunities for purpose-driven innovation and moving communities forward in the age of automation. Nathan founded Greater Than X to help organizations find better ways to deliver customer-centric products and services. In his role at Greater Than X, Nathan helps leading organizations operationalize strong data ethics, Privacy by Design and Data Trust by Design to build more trusted and valuable organizational structures and customer propositions. Sponsors: This event is made possible with the support of IBM and Betaworks Studios.

  • Trust by Design: The toolkit to make trust a competitive advantage [Lim. Seats]

    This transformational toolkit can take root with the executive level, product management, designers, data scientists, or engineers. This is how you get started making trust your competitive advantage. *** Please note this Meetup is ticketed through Eventbrite https://www.eventbrite.com/e/trust-by-design-the-toolkit-to-make-customer-trust-a-competitive-advantage-tickets-55194288603?utm_source=partner&utm_medium=email&utm_content=lfm You MUST register and pay through Eventbrite to attend. *** Almost every business is now an information business. Yet so few have a clear information strategy, manage information risks adeptly and utilize their strategy to create competitive advantage. With privacy moving to the forefront of people's minds all around the world, many organizations are scratching their heads - searching for ways make data sharing (or a lack of it) valuable, meaningful and engaging for their customers. This goes beyond static policies. It's about operationalizing strong data ethics. It's about bringing to life proactive privacy and security. It's about making privacy part of the value proposition. It's privacy as a competitive advantage. “Years ago I urged people to embed Privacy, by Design. With trust at an all-time low, it's now time to design for trust. And the best way to overcome the trust gap is with Data Trust by Design. This is an essential ingredient to enabling user empowerment." — Ann Cavoukian, Ph.D., LL.D. (Hon.), M.S.M. Privacy by Design Centre of Excellence, Ryerson University In this hands-on workshop Nathan Kinch, CEO of Greater Than X, will guide you through a practical Data Trust by Design activity. Together we'll produce trustworthy outputs that inform, empower and enable people to make simple and active choices about how their data is and isn't used. Greater Than X is also gifting all of you a copy of their new playbook, Data Trust by Design (launching February 8) **Agenda** Nathan will kick off with a quick overview of the behavioral, regulatory and technological shifts impacting the personal information economy (10 mins) An introduction to Data Trust by Design, why it exists and the results it has produced to date (10 mins) We'll then break out into small groups, select a focus and begin our design challenge (20 mins) Two groups will then come together and present their output to the other group. We're focused on testing two key things; comprehension and efficacy (20 mins) After putting our output to the test and documenting what we learn, we'll come together as a group to share what we've learned, discuss the challenges and ask the tricky questions we feel are yet to be answered (20 mins) The workshop will conclude with a quick wrap up. Nathan will also share further resources to ensure you're supported in your designing for trust journey **Trainer** Nathan Kinch, Co-founder and CEO at Greater Than X Building upon his leading work in the Personal Information Economy, Nathan founded Greater Than X to help organizations find better ways to deliver customer-centric products and services. In his role at Greater Than X, Nathan helps leading organizations operationalize strong data ethics, Privacy by Design and Data Trust by Design to build more trusted and valuable organizational structures and customer propositions. Event Schedule 3:30pm - 5:30pm Trust by Design Workshop in Library Room 5:30pm - 6:00pm Post workshop Q&A with Nathan and attendees in the main lounge 6:00pm - 6:30pm Networking, food, and drinks The workshop is over and we'd love for you to stay for our follow-up Ethics in AI event.

  • Machine Learning Healthcare: EMR analysis, R&D ROI, HIPAA chatbots [Free Event]

    Healthcare is a field of incredible challenges and life changing opportunities and machine learning can help many facets. *** Please sign up on Eventbrite to RSVP. https://www.eventbrite.com/e/machine-learning-in-healthcare-emr-analysis-rd-roi-plus-hipaa-chatbots-tickets-51585016172?utm_source=partner&utm_medium=email&utm_content=lfm *** THREE excellent speakers from Flatiron Health, Pfizer, and Talkspace on: * Machine learning techniques to reduce bias in Electron Medical Records (EMR) analysis * ML improving ROI for drug R&D and even design of new drugs * Psychotherapy techniques leveraging a HIPAA-BAA compliant chatbot in the cloud Schedule: 6:00 PM Networking & Food, Beer 6:30 PM Kickoff & Sponsors 6:40 PM Lucy He, Flatiron Health 7:15 PM Michael Frank, Pfizer 7:40 PM Nick Lamm, Talkspace 8:00 PM Q&A and Open Discussion Presentations: 1) When machine learning (ML) techniques are applied to electronic medical records (EMRs) for research, studies can be larger or done faster than non-automated studies on EMR data. However, using ML may add clinical bias into the data extracted from EMRs. We will present how to limit and measure such bias, which enables ML to be used in high-stakes research areas like cancer. 2) Across the value chain of drug discovery, AI/ML is being tested as a way to improve the return on R&D investment and bring drugs to patients faster. In this talk we will explore our experience and the challenges faced with applying ML across the phases of drug development. We will look at how it can be used as a decision support tool, and lastly how generative methods are affecting creative fields including the art of designing a drug. 3) Psychotherapy, as a primarily conversation-based method to treat mental illness, is a tempting arena for conversational AI. At Talkspace, the leading online therapy platform, we are interested in how traditional psychotherapy techniques translate to a digital medium. We will discuss how we designed a HIPAA-BAA compliant chatbot that takes cues from psychotherapy, and how these principles might be applied to other contexts. Speaker Bios: 1) Currently a software engineer at Flatiron Health, Lucy He is on a team applying machine learning in oncology to ultimately improve patient care and accelerate cancer research. The team helps build machine learning infrastructure for the company, and data products for research partners. Prior to Flatiron, Lucy was at Jigsaw, Alphabet’s’ geopolitical think tank & tech incubator, and at Google for Nonprofits. Lucy received a B.A. in computer science from Columbia University, though spent her first year in college studying biology. 2) Michael is a Director of Strategy in Pfizer’s World Wide R&D organization. His group’s mission is to advance strategy and innovation in pharmaceutical development across all therapeutic areas. His current focus is expanding the role of Artificial Intelligence in drug discovery to increase productivity and identify new therapies to help patients. Prior to Pfizer, Michael was a Strategy Consultant at Strategy& (a PWC company) and PA Consulting. He was also VP of technology at Phosplatin Therapeutics, a NYC biotech startup. His own inventions include a kitchen gadget for SkyMall, a dual language eReader platform, and several medical diagnostics and products. He has an MBA from Columbia Business School, and MS in Biomedical Engineering from Boston Univ., and a BA in Biology from Univ. of Michigan. 3) Nick Lamm is a Data Scientist at Talkspace. As a former marketer, Nick is interested in the intersection between machine learning and user-facing products. He is a strong supporter of Talkspace’s mission to increase access to mental healthcare. Sponsors: IBM and Betaworks Studios. *** Please sign up on Eventbrite to RSVP. https://www.eventbrite.com/e/machine-learning-in-healthcare-emr-analysis-rd-roi-plus-hipaa-chatbots-tickets-51585016172?utm_source=partner&utm_medium=email&utm_content=lfm ***

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  • Applying Machine Learning to Driving Team Focus plus Reinventing HR [Free Event]

    Gain insights on how machine learning based productivity working for Uber, Starbucks, WeWork, and Pinterest can help your teams as well. Plus, how can machine learning help with HR functions like retention. *** Please sign up on Eventbrite to RSVP. https://www.eventbrite.com/e/using-machine-learning-to-build-better-teams-tickets-51393672859?utm_source=partner&utm_medium=email&utm_content=lfm *** Please note the location at Betaworks Studios. Interested in getting hands on with image recognition? See our pre-event workshop: https://www.eventbrite.com/e/machine-learning-workshop-tensorflow-keras-for-visual-recognition-models-tickets-51362535727?utm_source=partner&utm_medium=email&utm_content=lfm Event Schedule 6:00 PM Networking & Food, Beer 6:30 PM Kickoff & Sponsors (IBM, Betaworks Studios) 6:40 PM Eric Typaldos, Hive - The productivity platform powering the speed of Uber, Starbucks, WeWork and Pinterest. 7:20 PM Ganes Kesari, Gramener - How Machine Learning is Reinventing Human Resources 8:00 PM Extended Q&A and Open Member Discussion Presentation Summaries: Talk 1: While AI powered tools can help teams automate processes and common tasks, it does not eliminate the need to manage the people on the team. Bottlenecks can still occur when employees are over resourced or delayed in providing deliverables. How can we utilize this technology to build better and more effective teams? In this session, Eric will discuss the common issues faced by teams, how they manage projects, and how machine learning can predict and eliminate these issues. He'll review current solutions and approaches, as well as highlight future use cases and how machine learning will change the modern workplace. Talk 2: Every organization, large or small faces complex challenges with the building, managing and retention of teams. With the ready availability of rich, streaming data at the disposal of most organizations, this needn’t be so difficult. This talk will showcase some of the practical applications of machine learning to tackle HR challenges in organization. Past work done in this area by Gramener will be presented as real-world case studies to showcase the potential, approach and benefits Speaker Bios: As CTO and co-founder of Hive, Eric Typaldos builds the platform that helps teams overcome today’s and tomorrow’s challenges in the workplace. After spending his career empowering enterprises and government organizations to be more productive and collaborative, Eric knows what truly drives happy, high-performing businesses — and he bakes this thinking into Hive. Eric’s technical expertise with enterprise collaboration was first used at the White House, where he built max.gov, the federal government’s platform, used by over 750,000 employees. That success led to a career in Oracle’s federal consulting practice with a focus on collaboration in government, education, and healthcare across federal government and Fortune 500 projects. Ganes Kesari is a co-founder at Gramener (https://gramener.com), where he heads Analytics and AI Labs. Ganes advises businesses on deriving value from data science. He is passionate about the confluence of machine learning, information design, and data-driven decision making. Sponsors This event is made possible with the support of IBM and Betaworks Studios. *** Please sign up on Eventbrite to RSVP. https://www.eventbrite.com/e/using-machine-learning-to-build-better-teams-tickets-51393672859?utm_source=partner&utm_medium=email&utm_content=lfm ***

  • Machine Learning Workshop Tensorflow / Keras Visual Recognition: [SOLD OUT]

    Image recognition is one of the most explosive growth areas in machine learning. Get a hands-on introduction at our workshop. *** Please note this Meetup is ticketed through Eventbrite https://www.eventbrite.com/e/machine-learning-workshop-tensorflow-keras-for-visual-recognition-models-tickets-51362535727?utm_source=partner&utm_medium=email&utm_content=lfm You MUST register and pay through Eventbrite to attend. *** ** Use Cases ** Here's just a few of the exciting uses of machine learning: - photo search and clustering (find specific subjects, find all photos with particular people) - self-driving cars (recognizing road hazards, vehicles, signs) - identifying image control points and applying dynamic filters for fun (Snapchat) or commerce (see how an item would look on you) - fashion and art commerce (identifying similar styles you'd be interested in) - medical diagnosis (analyze various types of scans) - security (face or iris based authentication, license plate identification) ** What You'll Learn ** This talk and tutorial will teach you how to train a Visual Recognition Classifier in Watson Studio using Tensorflow and Keras open-source libraries. It's all on a cloud based lab so no need for any special hardware or local installation to take part. Secondly, the talk will cover next steps on how to convert the Keras model to a CoreML model for edge computing right on an iPhone/iPad. No cloud or internet required! Why is edge computing exciting? The response time is fast and data stays private for users not moving to the cloud and there's no need for a constant internet connection (or using up data plans). You will see a demo of the final product in an iOS application, where the application is able to identify various objects trained in the custom model. ** What You Need ** No previous programming experience is required as all the code will be walked through by instructors. Just bring a charged laptop (and your charger just in case). ** Trainers ** Nick Bourdakos (@bourdakos1), Developer Advocate, IBM Nick is a developer advocate at IBM Watson in NYC. His expertise is in machine learning, mainly deep learning applied to Computer Vision problems. He started out as an Android developer, but also does Swift, Python and JavaScript / React development. Helen Lam (@helennnsays), Developer Advocate, IBM Helen is a developer advocate at IBM in NYC. Her expertise and background include building using Watson APIs. Her stack includes Ruby-on-Rails, and JavaScript and Node JS development. ** Event Schedule ** 3:00pm - 5:00pm Visual Recognition Workshop in Library Room 5:00pm - 5:30pm Post workshop Q&A with trainers and attendees in the main lounge 5:30pm - 6:30pm Networking, food and drinks The workshop is over and we'd love for you to stay for our follow-up event on machine learning for driving team productivity! 6:30pm - 6:35pm Kickoff 6:35pm - 7:10pm Eric Typaldos, Founder and CTO of Hive - Using Machine Learning to Build Better Teams 7:10pm - 7:40pm TBA 7:40pm - 7:50pm Community Asks and Offers 7:50pm - 8:45pm Post event networking ** Sponsors ** This event is made possible with the support of IBM Watson and Betaworks Studios.

  • FinTech is Evolving Risk and Compliance Through AI [Free Event]

    Improving models for risk and effective compliance yields tremendous benefits. Current technology investments in this space are already in the tens of billions. How can AI and machine learning augment existing investments in analytics and evolve these systems? Alex Baghdjian, Financial Services Strategy Lead at Ayasdi, will lead us through some real examples of machine intelligence in risk and compliance at financial institutions. *** Please sign up on Eventbrite to RSVP. https://www.eventbrite.com/e/fintech-is-evolving-risk-and-compliance-through-ai-tickets-50222283201?utm_source=partner&utm_medium=email&utm_content=lfm *** Please note the location at Betaworks Studios. Event Schedule 6:00 PM Networking & Food, Beer 6:30 PM Kickoff & Sponsors (IBM, Betaworks Studios) 6:40 PM Alex Baghdjian, Ayasdi - A machine intelligence perspective on risk and compliance in financial services. 7:20 PM TBD 8:00 PM Extended Q&A and Open Member Discussion Talk 1: A machine intelligence perspective on risk and compliance in financial services. Abstract: While the spend on risk and compliance technology continues to grow (Celent expects $72B in 2019) the fines and frequency of those fines by regulatory authorities is also growing. This reflects an expectation by regulators that financial institutions do a better job using the data at their disposal. The challenge is that legacy techniques are not well suited to the challenges of the modern data set – challenges defined by dimensionality, sparsity, unstructured and unlabeled data. These are challenges for machine intelligence and this talk will focus on emerging approaches (namely the combination of unsupervised learning, supervised prediction and extreme transparency) and how they are remaking the regulatory and compliance landscape. Bio: Alex Baghdjian is the Financial Services Strategy Lead at Ayasdi, where he heads the effort to design, develop and deploy intelligent applications for the financial services industry. Alex has spent the majority of his career working with various artificial intelligence technologies and their application to key areas such as regulatory risk, financial crime and customer intelligence. Prior to joining Ayasdi, Alex was with IBM as a consultant, and, most recently in the Watson Financial Services division where he served as an Offering Manager. He has a Bachelors in Business Administration from George Washington University. Talk 2: Coming Soon Sponsors This event is made possible with the support of IBM and Betaworks Studios. *** Please sign up on Eventbrite to RSVP. https://www.eventbrite.com/e/fintech-is-evolving-risk-and-compliance-through-ai-tickets-50222283201?utm_source=partner&utm_medium=email&utm_content=lfm ***

  • Driving eCommerce Sales Through AI Recommendations [Free Event]

    How can AI drive a meaningful rise in sales and loyalty? The potential of machine learning recommendation systems and conversational chat analysis or computer vision give powerful insights into what consumer preferences are. Getting the right offers out front saves consumers time, makes them feel more heard, and leads to higher sales. We’ll hear from Joseph Babcock, Lead - Data & Experimentation at Jetblack giving key examples from Netflix' recommender and systems at Jetblack and Balaji Ravindran of Markable on the impact of computer vision and deep learning for retail recommendations. *** Please sign up on Eventbrite to RSVP. https://www.eventbrite.com/e/driving-ecommerce-sales-through-ai-recommendations-tickets-49121490701?utm_source=partner&utm_medium=email&utm_content=lfm *** Please note the location at Betaworks Studios. Event Schedule 6:00 PM Networking & Food, Beer 6:30 PM Kickoff & Sponsors (IBM, Betaworks Studios, MoNage) 6:40 PM Joseph Babcock, Jetblack on The "Why" in A.I.: How Machines Learn Consumer Decisions 7:20 PM Balaji Ravindran, COO of Markable.ai on Computer vision and deep learning AI for fashion retailers when words aren't enough 8:00 PM Extended Q&A and Open Member Discussion Talk 1: The "Why" in A.I.: How Machines Learn Consumer Decisions The machine learning technologies powering online retail, search and streaming services use patterns in large datasets to predict human decisions. While traditionally these models use implicit signals such as order histories, new formats such as natural language may provide richer context for understanding consumer choice. In this talk I will draw examples from the Netflix recommender system and Jetblack to illustrate the changing landscape of these technologies, as well as the opportunities and challenges for machine learning in the domain of conversational commerce. Talk 2: Computer vision and deep learning AI for fashion retailers when words aren't enough Computer vision AI unlocks the ability to delight a customer with a product match when what they're looking for just can't be put into words. How can fashion and other visually oriented shopping businesses prepare to embark on this journey of process automation and implement machine learning? How does a system like this get trained? Bio Balaji is an innovator and executive with experience building new companies as well as growing products of over $100MM P&Ls in large companies. Balaji is currently the Chief Operating Officer & Chief Product Officer at Markable.ai. Balaji has nearly two decades of digital industry experience mostly in executive roles and in product leadership. He launched several industry-leading products in Online Advertising, Commerce, Consumer Search, Media and Monetization. From 2005 to 2009, he led product management for online advertising of over $100MM P&L at Yahoo! (#1 consumer portal then). At Nielsen, as a Vice President of Product Leadership, he rapidly expanded online platform and products to international markets and scaled Global eCommerce and Search products. He has the accomplishment of winning several awards for innovation and has seven granted US patents. Sponsors This event is made possible with the support of IBM, Betaworks Studios and MoNage. *** Please sign up on Eventbrite to RSVP. https://www.eventbrite.com/e/driving-ecommerce-sales-through-ai-recommendations-tickets-49121490701?utm_source=partner&utm_medium=email&utm_content=lfm ***

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