The AI Summit New York

2022 Agenda

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9:00 AM
  1. 15 mins
    • Headliners Stage
10:05 AM
  1. 40 mins
    • Industries Stage
    AI will open almost infinite possibilities for targeting, engaging, selling, and enhancing customer experience at every single touch point. But what are the risks of marketing being too personalized a ...
  2. 55 mins
    • Practitioner's Stage
    Translation of these principles into a set of practices to adopt, enforce, and evolve company-wide for an end-to-end lifecycle Design, Development, Deployment, and Monitoring of Trusted AI systems. En ...
10:10 AM
  1. 40 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    There is no one way to build a company, and we will create a space for you to explore what works for you and what doesn't.   Define your jobs to be done and the value proposition for your venture. Lea ...
  2. 25 mins
    • AI at Scale Stage
    The AI market is reaching critical mass. UBS CDIO Group Functions is embarking on this exciting AI journey across a wide range of functions such as IT, Real Estate, Legal, Risk, Finance, HR, etc. To c ...
  3. 25 mins
    • Finance Stage
    Why do so many seemingly transformative ideas fizzle out? Even with the most impressive data science talent and modern ModelOps platforms, AI COEs and teams struggle to gain – and more importantly – s ...
  4. 30 mins
    • Next-Gen Applications Stage
    An in-depth analysis of emerging technologies and their expanding landscape Explore AI trends of the future: What new capabilities will AI spark 5 to 10 years from now?
  5. 40 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    There is no one way to build a company, and we will create a space for you to explore what works for you and what doesn't.   Define your jobs to be done and the value proposition for your venture. Lea ...
10:35 AM
  1. 25 mins
    • AI at Scale Stage
    AI to the rescue In an ever-increasing digital world, cyber security is of the utmost importance for businesses and governments. But it can no longer remain static as it's not a one-size-fits-all approach—different solutions are needed to address various challenges. Join us in this discussion on how AI can address the cyber security problem set, as we explore tried and true best practices for AI-driven detections and discuss associated lessons learned.
  2. 25 mins
    • Finance Stage
    Look at what it takes to build, integrate, deploy, and run Machine Learning workloads while managing risk, addressing governance, iterating on improvements, and explaining AI decisions in an Enterpris ...
10:40 AM
  1. 25 mins
    • Next-Gen Applications Stage
    The “black box” syndrome, in which an AI system doesn't provide sufficient information to make the output trustworthy, has been a major barrier in enterprise-wide adoption of AI & automation solutions ...
10:45 AM
  1. Morning Networking Break
    30 mins
    • Headliners Stage
  2. 25 mins
    • Industries Stage
    Marketers across the globe are at an inflection point with how they use data. Behavioral data provides granular detail into interactions from a plethora of sources. Join this talk to hear from Snowplo ...
10:50 AM
  1. 40 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    How do you go about raising in market cycles? Being prepared to raise What do you do in an environment of inflation?
  2. 40 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    How do you go about raising in market cycles? Being prepared to raise What do you do in an environment of inflation?
10:55 AM
  1. 5 mins
    • Trends & Markets Stage
11:00 AM
  1. 40 mins
    • AI at Scale Stage
    To successfully scale AI, leaders must ensure a comprehensive change of mindset throughout the organizations as well as a clear AI strategy based on trust and transparency. In this panel discussion, leaders from businesses, academia and civil society will come together to discuss the key factors for successful scaling up and their views on AI for good.  
  2. 40 mins
    • Finance Stage
    How are companies leveraging AI to provide better solutions and services for their customers? Will it automatically lead to better profits? We're all seeking better customer satisfaction, engagement, ...
  3. Practitioner Cooperative
    35 mins
    • Practitioner Cooperative
    The Developer Tool Assessment session is designed to help practitioners identify the most suitable developer tools for AI development. In session one, we will assess AI & MLOps platforms that will emp ...
  4. 25 mins
    • Practitioner's Stage
    As the volume and variety of data grows, in parallel with organizational investments in analytics and machine learning, ensuring data is high quality has become mission critical for many organizations. But traditional software monitoring and remediation methods tend to fall short here, which has given rise to a set of approaches called data observability. We’ll explore the elements of a general data observability strategy, pitfalls to avoid, and nuances around data observability for machine learning applications. We’ll draw on real-world lessons from Opendoor and other leading ML companies, ranging across industries and touching on structured and unstructured data.
  5. 15 mins
    • Trends & Markets Stage
    What's on the agenda for the next 12 month for the ecosystem? Where are the growth markets? What are the biggest trends in hardware, software and services developments?
11:05 AM
  1. Next-Gen Applications Morning Networking Break
    30 mins
    • Next-Gen Applications Stage
11:10 AM
  1. Industries Networking Break
    20 mins
    • Industries Stage
11:15 AM
  1. 25 mins
    • Headliners Stage
    AI is no longer a choice. Adoption is imperative to beat the competition, release innovative products and services, better meet customer expectations, reduce risk and fraud, and drive revenue growth. ...
  2. 15 mins
    • Trends & Markets Stage
    Enterprises must understand and manage AI risk. If they fail to do so, the cost could be astronomically high. The presentation answers key questions – what AI risks are the most concerning and what ar ...
11:25 AM
  1. Practitioners Morning Networking Break
    20 mins
    • Practitioner's Stage
11:30 AM
  1. AI Accelerator Hub Break
    20 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
  2. 120 mins
    • Trends & Markets Stage
    • Fringe Forums
    Led by Hogan Lovells   Fringe forums are built to provide a platform for key issues that sit across the industry. The forums will be used to discuss these challenges in an intimate setting with indust ...
  3. 25 mins
    • Industries Stage
    In this talk, Ankit will share examples of how to leverage data and science to create the Supplier Success flywheel that will fuel the next phase of Wayfair's growth where Suppliers will be rewarded a ...
  4. 120 mins
    • Trends & Markets Stage
    • Fringe Forums
    Led by Hogan Lovells   Fringe forums are built to provide a platform for key issues that sit across the industry. The forums will be used to discuss these challenges in an intimate setting with indust ...
  5. AI Accelerator Hub Break
    20 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
11:35 AM
  1. 25 mins
    • Next-Gen Applications Stage
    Overview of AI in Finance - where it is and the path forward Best practices to consider as orgs begin implementing end-to-end ML models Preparing for the AI revolution and extracting value as a data d ...
11:40 AM
  1. AI At Scale Networking Break
    20 mins
    • AI at Scale Stage
  2. Finance Morning Networking Break
    20 mins
    • Finance Stage
11:45 AM
  1. 45 mins
    • Headliners Stage
  2. 30 mins
    • Practitioner's Stage
    We will learn how to track, measure and improve product success and how to create success metrics we use in evaluating success. We will explore some of the best in class Analytics tools used in making ...
11:50 AM
  1. 40 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    Most common AI techniques that create business value Use cases across several industries Emerging technologies Exercise: Using one of the techniques described, create a use case for your company that ...
  2. 50 mins
    • Vision Stage @ VisionAIres
    The growth of data and increasing exposure to sophisticated analytics faced by senior business leaders is changing the industry. How can traditional people-leaders confidently leverage data-driven ins ...
  3. 40 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    Most common AI techniques that create business value Use cases across several industries Emerging technologies Exercise: Using one of the techniques described, create a use case for your company that ...
11:55 AM
  1. 25 mins
    • Industries Stage
    As organizations look to operationalize AI within their core business processes, having the right guardrails and governance mechanisms in place becomes extremely important. This is true across industr ...
12:00 PM
  1. 45 mins
    • AI at Scale Stage
    What are the catalysts for the next wave of AI advances? What does the emerging field of practice look like? Where are the gaps? How do we turn research innovations into business practice? This Q&A panel will be joined by leading researchers, industry and business leaders who are shaping the future of AI. Please come prepared with questions to ask our expert panel. (45 mins)
  2. 15 mins
    • Expo Demo Agenda
    Delegates will be able to see a first-hand example of data anonymization at work. Delegates can capture themselves on the webcam and can see their own face getting 'anonymized'.
  3. 25 mins
    • Finance Stage
    The digitalization of the Finance Industry has exploded. In a sea of unstructured and semi-structured data, there are new challenges in achieving meaningful predictions and key driver insights to info ...
  4. 25 mins
    • Next-Gen Applications Stage
    Analysing the importance of a computer vision system in logistics environment Exploring computer-vision use cases in logistics environment Computer vision Ops considerations for a large-scale deployme ...
12:15 PM
  1. 25 mins
    • Practitioner's Stage
    The demand for deep neural networks that conduct analysis tasks for medical data has expanded dramatically in recent years due to technological advances in deep learning and hardware computing capabil ...
12:20 PM
  1. Industries Networking Break
    70 mins
    • Industries Stage
12:25 PM
  1. 25 mins
    • Finance Stage
    A real use case study showcasing an already successful implementation of a working chat bot assistant with real-time data management and data labelling solutions. It provides customer interaction serv ...
  2. 25 mins
    • Next-Gen Applications Stage
    The service gap is widening. Why? Enterprise contact centers struggle to meet today's demand for instant, personalized service across channels. 66% of customers are frustrated before they even start t ...
12:30 PM
  1. AI Accelerator Hub Lunch Break
    60 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
  2. Lunchtime Networking Break
    105 mins
    • Headliners Stage
  3. AI Accelerator Hub Lunch Break
    60 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
12:40 PM
  1. Practitioners Lunchtime Networking Break
    80 mins
    • Practitioner's Stage
12:45 PM
  1. 25 mins
    • AI at Scale Stage
    Empathy has long been a cornerstone of customer experience. Join this talk to hear how Soul Machines Digital People interpret and respond to human emotions to help brands and organizations connect with customers.
12:50 PM
  1. 25 mins
    • Finance Stage
    Although there is enormous opportunity to harness the benefits of AI, deployment challenges must be solved for inference to scale across the industry. NeuReality sees the need for a complete software ...
  2. 40 mins
    • Next-Gen Applications Stage
    Exploring the fluidity in the changing roles of those in product management and design teams moving into ML and vice versa. Learn how to upskill leaders and their teams, improve their knowledge and la ...
1:10 PM
  1. AI At Scale Networking Break
    80 mins
    • AI at Scale Stage
1:15 PM
  1. Finance Lunchtime Networking Break
    45 mins
    • Finance Stage
1:30 PM
  1. 40 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    How to identify the right stakeholders What to expect with enterprise sales? Workshop pricing and paid pilots
  2. 25 mins
    • Industries Stage
    Long wait times. Unsatisfactory interactions. Missed commitments. Lack of follow-up. A Uniphore survey of U.S. consumers shows that hold times increased by 50% since March 2020, with more than half (5 ...
  3. Next-Gen Applications Lunchtime Break
    30 mins
    • Next-Gen Applications Stage
  4. Networking Break
    30 mins
    • Trends & Markets Stage
  5. 40 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    How to identify the right stakeholders What to expect with enterprise sales? Workshop pricing and paid pilots
1:55 PM
  1. 40 mins
    • Industries Stage
    Over the last two years a series of unexpected events has scrambled global supply chains. In this panel discussion, supply chain leaders will come together exploring key issues facing their organizati ...
2:00 PM
  1. 25 mins
    • Finance Stage
    The Office of Science & Technology Policy (OSTP), which guides the White House on areas of strategic technological importance, recently issued a 5-priniciple based blueprint of what's being called the ...
  2. 30 mins
    • Next-Gen Applications Stage
  3. 45 mins
    • Practitioner Cooperative
    The Research to Practice session is designed to bridge the gap between theory and practice through working collaboratively with practitioners and academics. Each session will be led by a leading resea ...
  4. 40 mins
    • Practitioner's Stage
    Within data management we see a vast number of elements needing addressing from data preparation and quality all the way through to data warehousing. Our curated panel of experts will delve into this to see if there is any that should take priority and in what order or whether it depends on the business case proposition.
  5. 15 mins
    • Trends & Markets Stage
  6. 60 mins
    • Vision Stage @ VisionAIres
    Intelligent Automation is changing how businesses manage their end-to-end business processes and respond quickly to changing market conditions. Yet the challenge of scaling automation and failing to s ...
2:10 PM
  1. 30 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    Product building How to sell the product? How do you start making money?
  2. 30 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    Product building How to sell the product? How do you start making money?
2:15 PM
  1. 15 mins
    • Expo Demo Agenda
    Hear how to deliver smart self-service to chat, voice and mobile channels, plus assist agents to help your contact center run more efficiently and provide a better experience for your customers. 85% t ...
  2. 50 mins
    • Headliners Stage
  3. 15 mins
    • Trends & Markets Stage
    How AI is being deployed within the industry and the promise it holds to innovate the drug discovery and development process.  Highlighting on use cases and examples where AI has been used to develop ...
2:25 PM
  1. 25 mins
    • Finance Stage
    To correct for bias or rebalance underrepresented populations in datasets, teams have long relied on data oversampling—duplicating rows of data to increase the size of an underrepresented group. But s ...
    Tonic AI
2:30 PM
  1. 25 mins
    • AI at Scale Stage
    Will AI lead to new creative frontier for music? Are we moving towards democratization of music production? Is AI going to shape up music forever? Could an AI ever develop music completely by itself?  ...
  2. 25 mins
    • Next-Gen Applications Stage
    Design-thinking and best practices of collaborating with designers  Building design categories and platforms for ML models and considering how and when to bring humans into the loop Developing product ...
  3. 15 mins
    • Trends & Markets Stage
2:35 PM
  1. 25 mins
    • Industries Stage
    Growth, customization, resilience and many more factors require tech-enabled supply chain companies to customize their internal software products more than ever. This translates to having many differe ...
2:40 PM
  1. 30 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    How do you build your first 3 hires effectively… the foundation of your team? Building your company and the team, and implementing HR policies, company values and culture, long-term strategy, and inve ...
  2. 25 mins
    • Practitioner's Stage
    Over 85% of enterprise data is unstructured, unlabeled, and not ready for AI use. In fact, labeling data has become the key blocker to successfully leveraging ML-based NLP. We will discuss both how to ...
    Snorkel AI
  3. 30 mins
    • Accelerator Hub
    • Women In AI Flagship Summit
    How do you build your first 3 hires effectively… the foundation of your team? Building your company and the team, and implementing HR policies, company values and culture, long-term strategy, and inve ...
2:45 PM
  1. 15 mins
    • Expo Demo Agenda
    Verint has enabled Conversational AI through our low-code platform that enables users to quickly build IVAs using our tools to analyze and organize their data, build impactful IVA interactions, and ma ...
  2. 15 mins
    • Trends & Markets Stage
2:50 PM
  1. Finance Afternoon Networking Break
    55 mins
    • Finance Stage
  2. Industries Networking Break
    45 mins
    • Industries Stage
2:55 PM
  1. 25 mins
    • AI at Scale Stage
    Join in as Data Science Engineer, Benedetta Cevoli,  looks at bias in speech-to-text algorithms and illustrates how increasing language coverage and accuracy helps both the world of business and the world at large.   
  2. 25 mins
    • Next-Gen Applications Stage
    Delving into the different ways to anonymize / pseudonymize / obfuscate sensitive content when working with data at scale, what are the roles and expectations How GDPR compliant organizations can use ...
3:00 PM
  1. 15 mins
    • Expo Demo Agenda
    Experience DataForce Worlds, an interactive and gamified adaptation of our annotation platform that shows you the importance of properly labelled data in your business. Toggle between text, video, ima ...
  2. 40 mins
    • Practitioner Cooperative
    The AI Summit are working with not-for-profit organizations to identify new projects that will help solve real-world challenges and augment practitioners' skills. In this session, Omdena's project lea ...
  3. 15 mins
    • Trends & Markets Stage
    As with any technology-dependent endeavour building successful AI outcomes in the enterprise requires balance Such an effort demands more than simply hiring a stable of data scientists. Rather, it req ...
3:05 PM
  1. 25 mins
    • Headliners Stage
    Every organization deploying AI is seeking business benefit, but there is sometimes misalignment between the expectations and priorities of business leaders on the one hand, and data scientists on the ...
  2. 40 mins
    • Practitioner's Stage
    Our panel of experts across industry and academia will discuss what has changed over the last two, jarring years, if anything? What measures are needed to self-govern? Could it slow AI adoption? Why s ...
3:10 PM
  1. 50 mins
    • Vision Stage @ VisionAIres

    Guardrails for safe and impactful use and implementation of AI are of paramount importance to realize the benefits of AI for society. While some companies are looking to embrace AI in their organizations, others are waiting to see the regulatory requirements before fully harnessing the power of AI for their business. 

    With NY City's Automated Employment Decision Tools Law coming into force on January 1, 2023, this regulation is a bellwether for the oversight of AI systems. With many similar objectives like independent audits, transparency, and notification requirements, draft AI regulations have been tabled globally, including the EU AI Act, Canada's AI and Data Act, and the Algorithmic Accountability Act in the US. 

    Implicating both those using and selling AI, organizations are now considering what needs to be in place to be compliant and anticipating the work to be done. Similar to data protection regulations, AI regulations will have a far reaching impact and will take some time to implement.  

    Whether you are an AI vendor, or a company who is building AI to improve your service delivery, now is the time to proactively prepare. Getting ahead of the regulatory requirements will save you time, money, and stress. 

    Join a conversation with cross-functional experts in the space to discuss what the regulation landscape looks like, how organizations can prepare, and the immediate considerations for the NYC regulation. 

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