The AI Summit New York

2022 Agenda

Loading
  • Stage
    • Finance Stage
10:10
  1. 25 mins
    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 – sustain corporate attention, focus and funding. This presentation will cover proven best practices for properly positioning, framing and ultimately executing AI projects at enterprise scale with a special focus Agile development, key lessons from the worlds of product management & Design Thinking and crucial aspects of instrumentation and value validation. 
10:35
  1. 25 mins
    How do we drive value from understanding unstructured data better and therefore how to utilize it? This is top of the agenda for most in-house data science teams, to allow for further AI capabilities to be unlocked, new products to be launched and better services to be provided. The Big Data needed for FIs requires accurate data quality, data preparation and integration, data management and advanced analytics, calling for a reliable platform capable of it all.
11:00
  1. 40 mins
    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, retention, loyalty but how do we get there? Will it reduce churn and other desired results?
11:40
  1. Finance Morning Networking Break
    20 mins
12:00
  1. 25 mins
    Harnessing the power AI and ML will improve predictions and trades for all, from corporate to consumer and personal banking and one capability that all should be tapping into right now. With two viable routes of predictive trading in quantitative and algorithmic it’s easy to realize real-time stock market insights and predictions and put them into action. This session will explore the data, analytics, and models behind the process to propel your approach forward.
12:25
  1. 25 mins
    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 services that are empathetic and pursue fair solutions, as just one of its twelve capabilities. Learn about pitfalls to avoid and how to develop a chatbot that provides better predictive and personalized insights to customers.
12:50
  1. 25 mins
    Data Silos are a challenge within industry, where we have such big data to contend with, but this leads to increased issues. In this fireside chat we’ll ask the questions you need answering to be able to address the issues. Is it streamlined data integration? How does this allow for scaling and automation to reach continuous intelligence? And how do we reduce costs to the business?
13:15
  1. Finance Lunchtime Networking Break
    45 mins
14:00
  1. 25 mins

    Key industry players have disrupted the market by investing in machine-learning technologies that allows fund managers to identify changes earlier, feeding the improved risk analysis and leading to better investment predictions. Find out through this case study how you too can benefit from investing in ML technologies and how else you may apply it to your business.

14:25
  1. 25 mins
    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 simple oversampling may not lead to robust changes in model predictions, and more robust methods can be difficult to implement and maintain on complicated datasets. Today, there is a better way: data augmentation with synthetic data. By using deep neural networks to train synthetic data models based on real-world data, teams can achieve fine-grained control over rebiasing their data, generating net new samples by seeding conditional models with the demographic distributions they need. Join Ander Steele, PhD and Lead Data Scientist at  Tonic.ai, to learn more about filling the data gaps and shifting the bias in your data to make it more representative of the populations your use cases need.
    Tonic AI
14:50
  1. Finance Afternoon Networking Break
    30 mins
15:20
  1. 25 mins
    Cybersecurity and fraud are a heavily invested area and will continue to be in 2023 while global organizations roll out more advanced safety nets for all of us. Learn first-hand, the strategy this key player took to stay ahead of the curve in this hard-to-navigate area of emerging tech.
15:45
  1. 25 mins
    Harvard Business School states it’s proven that investing sustainably is both beneficial for individuals as well as businesses, and both can gain from not only the societal impact but financially, too. Further studies show that sustainable funds have competitive advantages. Join us for this informative walk through with one of the world’s leading banks who have already put this into practice and have seen tangible results from it, driving their ROIs forward.
16:10
  1. 40 mins
    We’ve brought thought leaders across academia and FSI to share their thoughts, learnings, and results from building out environmental and societal goals into their businesses. What are the positive impacts? What are the challenges to consider and how do we resolve them?
10:10
  1. 25 mins
    Many organizations want to create responsible AI as the integral core of their operations but in the finance industry that can’t happen if you don’t have explainable AI and attempting to mitigate the bias and other discrepancies that can creep in, is a large feat. We explore the guide to navigating explain-ability with a real-life use case that has led to noticeable results.
10:35
  1. 25 mins
    The work our industry does is so important - it affects lives, which is why it’s imperative that the products we’re creating from algorithms to ML models are all without bias, better than traditional credit decision making. We dig into improving monitoring and collections and other AI-powered decision making to ensure trust throughout our processes and the opportunities this creates.
11:00
  1. Finance Morning Networking Break
    30 mins
11:30
  1. 40 mins

    We’ve seen key players in the big banks enlisting the help of MLOps to fortify their customer experience and as a result what this brings back to the business. As we continue to adapt our services, more customers continue to expect high standards. Our panel of experts will explore how utilizing MLOps can provide a range of better business outcomes, spanning from scale and speed as well custom models, accessibility, and driving value.

12:10
  1. 25 mins
    NLP can assist with many challenges an institution may be facing, including personalized experiences, improved operational efficiency, and innovative product offerings. Whether it be regulatory compliance or something else, we’ll explore all the iterations you can apply it to throughout to achieve better outcomes and processes.
12:35
  1. Finance Lunchtime Networking Break
    85 mins
14:00
  1. 25 mins
    What can RPA bring our operations and how do we encompass everything from process mining to low code and everything in between, to ensure successful hyper-automation, so time can be spent on more lucrative accounting, or man hours into a new revenue stream.
14:25
  1. 25 mins

    A leading financial institution walk us through their learnings and successes of implementing their own AI frameworks including a transcription service for their product offerings, so they don’t rely on a third party, and what this has meant for them as an organization – from profits to efficiencies.

14:50
  1. 40 mins
    We bring together leading analysts, press, and enterprises to give us a low-down on some of the hottest trends we predict we’ll see in 2023, with a balance of what FIs are seeing grow in popularity internally. We’ll discuss whether the demand for blockchain is set to rise, or regulation to intensify, perhaps the skillset shortage will continue and the wider adoption of AI.
15:30
  1. Finance Afternoon Networking Break
    15 mins
15:45
  1. 25 mins
    The future, so we’ve been told, is the metaverse. So, let’s look at real-world applications of FIs moving into this new growth space and what benefits there are our operations, business outcomes, customers if we were to enter the Meta race ourselves.
16:10
  1. 40 mins
    How do we bring together everything we’ve learnt, from new innovations to onboard, through to execution? We hear from industry experts walk through their best implementation uses to guide us through our next stages of focus and what outcomes it will bring our operations from converting data into useful insights for customers to internal benefits.

 

Our Sponsors

Industry Partners

Loading

Diamond Sponsors

Loading

Platinum Sponsors

Loading

Gold Sponsors

Loading

Silver Sponsors

Loading

 

Bronze Sponsors

Loading