The AI Summit New York

2022 Agenda

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10:00
  1. 10 mins
  2. 10 mins
  3. 10 mins
  4. 10 mins

    Join us, as we open and kick off our first ever live Hackathon at the AI Summit New York. Hear from our partner mentees and judges, who introduce the Hackathon, what's to be expected over the next two days and set the challenge! Brimming with exceptional young talent, it's not to be missed!

  5. 5 mins
  6. 10 mins
  7. 10 mins
10:05
  1. 40 mins
    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 and intelligently automated? What is the impact of Ethical AI on customer experience?
10:10
  1. 25 mins
  2. 25 mins
    The AI market is reaching critical mass. What does that mean for businesses and industries? What are the key success factors for scaling up AI? Omdia carried out a global survey on AI Market Maturity. Join this talk to hear from our senior analyst on key findings and what lessons can be learned.
  3. 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. 
  4. 470 mins
    Watch first-hand as the latest tribe of tech up-and-comers stress test the growing scope of AI applications.
  5. 30 mins
    • 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?
  6. 25 mins
    The need for investment in technological advancing is constant, whether you are actioning your first or have just wrapped on one in production, you will need to provide a strong enough business case to secure the crucial dedicated resources needed to implement it. Join us for a successful use case of actioning a business case to see from a fiscal point of view how much impact it had on the business.
10:35
  1. 40 mins
  2. 25 mins
    The performance, efficiency, and reliability of AI tools are only as perfect as the quality of data and information they consume. Data quality is a critical ingredient in the success of any AI approach. How do businesses ensure they utilize, capture and store the highest quality data?
  3. 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.
  4. 25 mins
    Data architecture helps everything from reducing data storage costs, improving data quality, streamlining data integration, and helping to improve strategic planning, business, and decision intelligence. How much competitive advantage will it bring us? How do we have transparent data architectures? What do we need to action to tackle data cleaning and preparation correctly and how do we do this while simultaneously addressing data holistically to avoid silos and other issues?
10:45
  1. 25 mins
    To stand out in an increasingly digitally saturated market, hyper-personalization is the inevitable future of retail. AI's deep understanding of multiple datasets provides newfound insights and enables brands to a customer experience that is unique to an individual. Join this talk to hear from leading brands on how they use AI to personalize customer journey.
10:55
  1. Morning Networking Break
    30 mins
11:00
  1. 40 mins

    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
    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?
  3. 150 mins

    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 industry experts to drive change with purpose and intent. A writeup will be shared following these discussions.*

     

    • Fostering the right ecosystem that encourages organisations to take the lead in developing and publicising AI ethics codes, principles, frameworks, and policy strategies.
    • How do civic leaders develop the right regulations for accountability, privacy and explainability?  
    • How do ethics documents change the global AI governance landscape and what are the varied impacts? What factors are relevant to assessing whether a given document is likely to be successful in achieving its goals?

     

    *To participate please sign-up. 

  4. 25 mins
    With the increase of data coming in from sources like the web, IoT, mobile devices and other external sources it can be hard to sort through the unstructured data, leading to problems later in the production cycle. We explore how data observability and anomaly detection can help mitigate this by plugging gaps in real data you don’t have, to allow for full scope. We will address how to avoid things like bias creeping into your data and how this affects the likes of NLP and Computer Vision.
11:05
  1. Next-Gen Applications Morning Networking Break
    30 mins
11:10
  1. Industries Networking Break
    20 mins
11:15
  1. 40 mins
    • How do you go about raising in market cycles?
    • Being prepared to raise
    • What do you do in an environment of inflation?
11:30
  1. 25 mins
    Applying ML to generate value for enterprise customers is an entirely different ball game than for consumer-facing products. The tolerance for error and the room for experimentation are often narrower. Efforts often take the unsustainable road of pursuing only single big bets as opposed to building the right data and ML foundations to enable organic and lasting value. In her talk, Vandana will share lessons learned from developing ML solutions
  2. 30 mins

    The Developer Tool Assessment session is designed to help practitioners identify the most suitable developer tools for AI development. Three solution providers have been selected to join each session in a rapid fire style. We asked them to address three key issues in their talks. 

    In session one, we will assess AI & MLOps platforms that will empower data scientists, ML engineers to work on projects faster and more efficiently. Speakers will address below key issues:

    • Collaboration with different tools
    • Scalability & repeatability 
    • Responsible AI efforts 

    Space is allocated on a first come first served basis. Please watch out for the sign up link. 

  3. 20 mins

    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 insights to deliver strong performance? How can analytical leaders engage and influence others through data?  

    Join our speaker Asha Saxena CEO at Women Leaders in Data and AI [WLDA.TECH], Adjunct Professor at Columbia University and Author of The AI Factor, discuss the best practices, frameworks and how-to build tangible data skills as a leader.

11:35
  1. 25 mins
    • Every company needs to think of itself as an AI company. Whether your company is in pharmaceuticals, retail, transportation, or finance, you need to view yourself as an AI company
    • An analysis of the practical views for organizations to consider as they begin implementing new AI models  
    • Preparing for the AI revolution and extracting value as a data driven organization  
    • Exploring the use of AI to solve some of our problems and moving beyond the proof of concept
11:40
  1. AI At Scale Networking Break
    20 mins
  2. Finance Morning Networking Break
    20 mins
11:45
  1. 25 mins
    While data integration encapsulates many aspects, a successful one will allow you to integrate from multiple sources into one single, trusted view for analysis - fueling better business decisions, efficiencies, and customer service from that.
11:55
  1. AI Accelerator Hub Break
    20 mins
  2. 25 mins
    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 and incentivized to take action that increases customer happiness.
12:00
  1. 40 mins
    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.
  2. 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.
  3. 25 mins
    • 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 deployment
12:10
  1. 25 mins
    To continue fueling progress in AI and extracting value from it, our teams need to be able to roll AI out to those less knowledgeable and technically skilled to access the data and use it for accurate predictions. This could revolutionize the next step for management, processing, and analytics, enabling data science teams to invest time in other projects that provide more improved business outcomes. Will this lead to a higher value work because of it? Can we leverage NLP, NLU and NLG?
12:20
  1. Industries Networking Break
    70 mins
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.
  2. 25 mins
12:35
  1. Practitioners Lunchtime Networking Break
    85 mins
12:40
  1. 25 mins
    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
  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?
  2. 40 mins
    • 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 language in the domains of ML and data, as well as empowering their ML teams to explain what they do and how it works.
    • Democratizing AI and training your designers about data - helping to bridge the culture and knowledge gap, and spreading AI development to a wider base that includes those without specialized AI knowledge 
    • Consider the importance of increasing investments for greater AI knowhow within the organization and encouraging reverse mentoring.  
    • Using data analytics as a mechanism to harness diverse thinking and innovation through D&I initiatives as well as actioning the introduction of new ways in attracting D&I talent.
12:55
  1. AI Accelerator Hub Lunch Break
    60 mins
  2. Lunchtime Networking Break
    65 mins
13:05
  1. AI At Scale Networking Break
    85 mins
13:15
  1. Finance Lunchtime Networking Break
    45 mins
13:30
  1. 25 mins
    Supply chain shocks are inevitable. In this session, we will showcase the latest AI-enhance tools which help business minimize supply chain disruptions.
  2. Next-Gen Applications Lunchtime Break
    60 mins
13:55
  1. 25 mins
    • Product building
    • How to sell the product?
    • How do you start making money?
  2. 40 mins
    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 organizations, from recovering in a post-covid world, the war in Ukraine, and the challenges in cross-border trade. What are the roles of data and AI? Can AI help us get better at minimizing the risks?
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.

  2. 25 mins
  3. 45 mins

    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 research and innovation institute on a specific researching project. Discussion will focus on how to turn research innovation into business practice.

    This session will be led by Partnership on AI. Participants will understand what resources are available and join the discussion on how to use the resources to develop and deploy AI responsibly.

  4. 40 mins
    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. 60 mins
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
  2. 40 mins
14:30
  1. 25 mins
    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? Join this mind-blowing fireside chat with music tech leaders.
  2. 25 mins
    • 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 products that have consumer applications and considering what is good enough in terms of user experience. 
14:35
  1. 25 mins
    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 different microservices for data and AI in parallel to legacy systems, causing friction both for end users as well as data scientists that needs to be overcome. In this session, we focus on sharing some best practices regarding the use of internal 'Micro SaaS' for Data and AI products to streamline operations.
14:40
  1. 25 mins

    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 harness and unlock enterprise data without spending millions of dollars and months-years on labeling, and how newer, data-centric AI approaches take data sovereignty into account.

    Snorkel AI
14:50
  1. Finance Afternoon Networking Break
    30 mins
14:55
  1. 25 mins
    Join this talk to hear how Speechmatics uses accurate and inclusive voice recognition to help business connect with diverse audiences and make media content accessible for everyone.
  2. 25 mins
    • 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 anonymization for a more transparent relationship with their users and customers.
15:00
  1. 40 mins
    • How do you build your first 3 hires effectively… the foundation of your team?
    • Company building
    • What is an effective go-to-market strategy?
  2. 150 mins

    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 industry experts to drive change with purpose and intent. A writeup will be shared following these discussions.

     

    • How do we increase transparency in AI so that its decisions can be viewed and understood by others, when required?
    • How do we ensure AI has the human-derived frameworks necessary to engage appropriately and empathetically with customers to provide the tools and diverse data to learn from to reduce bias? 
    • The very real threats of AI technology have on human behaviour and development 

     

    *To participate please sign-up. 

  3. Industries Networking Break
    20 mins
  4. 40 mins

    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 lead will introduce projects aiming to solve big problems, from detecting wildfires in Brazil, fighting malaria outbreaks in Africa to improving solar adoption in Singapore. There is an opportunity for participants to sign up some of the projects onsite.

15:05
  1. 25 mins
  2. 40 mins
    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 should enterprises and vendors take the lead on tackling consistency and finding the correct tooling? What can enterprises do on their own, can they do much at all?
15:10
  1. 50 mins

    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. 

15:20
  1. 25 mins
    The voice of customer data powers innovation and retention. However, it's challenging to collect the data well. Join this to talk to hear how Daily Harvest utilise AI to assist in this endeavor and how they build data product from the voice of customer.
  2. 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.
  3. 40 mins
    Data is key to unlocking new opportunities, however only a number of organizations are able to realize measurable value from data. What are the key steps required to ensure businesses are winning with data and AI?
  4. 40 mins
    • Artificial Intelligence is revolutionizing a wide range of data intensive industries with its applications and helping solve complex problems. Traditionally, AI solutions were cloud-driven due to the need for high-end hardware capable of performing deep learning computing tasks and the ability to effortlessly scale the resources in the cloud.
    • To address the limitations of the traditional cloud, such as high latency and the lack of security, there is a need to move the computing tasks to the edge of the network, closer to where the data is generated. Moving AI computations to the network edge opens new opportunities for AI applications with new products and services.
    • Today, in the era of the Internet of Things (IoT), an unprecedented volume of data generated by connected devices needs to be collected and analysed. This leads to the generation of large quantities of data in real-time, which requires AI systems to make sense of data.
    • Combining Edge Computing and Artificial Intelligence and using Edge AI to run machine learning tasks directly on connected edge devices. 
15:30
  1. Afternoon Networking Break
    30 mins
15:40
  1. 5 mins
15:45
  1. AI At Scale Networking Break
    20 mins
  2. 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.
  3. Practitioners Afternoon Networking Break
    20 mins
15:55
  1. 30 mins

    The Developer Tool Assessment session is designed to help practitioners identify the most suitable developer tools for AI development. Three solution providers have been selected to join each session in a rapid fire style. We asked them to address three key issues in their talks. 

    In  session two, we will compare data preparation tools and speakers will address the below three issues:  

    • Integrating into current system
    • Security and privacy
    • Addressing ethical concerns

    Space is allocated on a first come first served basis. Please watch out for the sign up link. 

16:00
  1. 75 mins
  2. 40 mins
    The Media and Entertainment industry arguably is the most creative industry in the world today. Constant and valuable changes are required to make it successful. Is AI helping the industry to push the boundaries, frontiers, and limits? Will AI take media & entertainment industry to a new level?
  3. Next-Gen Applications Afternoon Networking Break
    30 mins
  4. 60 mins
16:05
  1. 25 mins
    As data continue to grow exponentially, the key challenge business leaders encounter is how to get to data faster and make real-time decisions at scale. This talk will showcase businesses successfully use data to its full potential and discuss what tools are currently available.
  2. 25 mins
    Data privacy, data transparency, and accountability can be a pitfall for many. Is there a tool that aids this and redacts all personal information to be compliant but still allows for automation? Differential privacy needs to be considered but have you thought about homomorphic encryption and SWARM privacy with synthetic data.
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?
16:30
  1. 50 mins
    A select group of world-leading academics, industry thought leaders and young talents on a topical AI and ML related theme. The goal is to deepen the dialogue between the academic community, industry and young generation on AI and its impact on economies, societies, and individuals, and close the generational gap.
  2. 25 mins
    • How do you scale model predictions? 
    • Ensuring applications are effective enough to handle the scaling of ML platforms 
    • Evaluating the need to have models that are performing well enough to be scaled up 
  3. 40 mins
    We hear from experts in academia and industry to ascertain the key recommendations and steps to help fight your data security risks in AI especially since the pandemic more and more of us are working from home, exposing us to further vulnerabilities. We’ll look at risk related decision-making, risk sensing, threat monitoring and detection and automation of risk processes, including the zero-trust approach. Will data poisoning and adversarial attacks be our undoing?
16:40
  1. 25 mins
    Join this session to hear from WSC Sports on how they maximize revenue in sports media. Use cases on how to use AI/ML to generate personalized and customized sports videos automatically, in real-time and reach every fan on every platform will be shared.
16:55
  1. 25 mins
    • Evaluating how AI can be used for accurate predictions, minimizing customer loss and maximising profits.
    • Exploring how AI can aid organizations in managing their inventories, thereby creating opportunities and value.
    • Optimization in renewable energy
17:05
  1. 25 mins
    One of the key challenges the industries face is how to integrate AI into diverse systems within or between organizations. In this session, five AI integration use cases will be shared, from collecting, cleaning up to enforcing decisions. Key issues such as bias and privacy concerns will also be addressed. The audience will have the opportunity to vote on the use cases which are the most interesting and inspiring.
17:20
  1. 5 mins
  2. 15 mins
    • Assisted therapeutic use of NLP models
    • Use of NLP models as a template for insight and analysis in a philosophical or social-scientific discipline
    • Use of computer vision models as a mental health exercise and contribution to the humanities
18:00
  1. Hackathon Competition Ends
    5 mins
    That's a wrap on the fierce competition! Be sure to come back for day two, though (Thursday December 8th) where there will be plenty of masterclasses and workshops to learn and develop new skills, as well as networking drinks, and the AI Summit New York Hackathon winners announced.
10:00
  1. 60 mins
    3 mins x 10 start-ups 
  2. 5 mins
  3. 10 mins
  4. 60 mins
    Students and delegates taking part in the AI Summit London Hackathon will benefit from an exclusive workshop by our Hackathon partners.
  5. 5 mins
  6. 10 mins
  7. 10 mins
10:05
  1. 25 mins
  2. 25 mins
  3. 25 mins
    AI has become a strategic priority for the pharmaceutical industry in drug development. What are the key approaches to integrate novel AI technologies to enhance trial design, improve patient retention and achieve more precise pharmacovigilance studies? How to determine where and how AI can positively impact drug development decision making?
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.
  2. 30 mins
    • What steps can governments take to ensure ethical AI in policy and governance by 2050? 
    • When navigating the scope of governance within ML Ops, how does one connect diverse types of organizations together through responsible and ethical AI? 
    • Evaluating the need to infuse ethics in the development of data management and data analytics models. 
  3. 25 mins
    Serverless programming models in cloud environments have great scalability. Twinned with data maturity empowering accurate and reliable data to be utilized through cloud platforms, makes for an ideal mechanism to facilitate advanced analytics to inform every business decision. We find out whether these evolving services can resolve the challenges our data science teams face day-to-day with the likes of multi-cloud databases for example.
10:30
  1. 25 mins
    AutoML's rapid acceleration has facilitated the adoption of automation across the entire data pipeline. At this scale, AutoML helps enterprises take their AI efforts to the next level. What are the most interesting AutoML developments, updates and tends?
  2. Morning Networking Break
    30 mins
  3. 40 mins
    AI has been used widely in R&D and various domain of medicine. However, there are limited examples of AI being successfully deployed into clinical practice. What are the key challenges and limitations of AI in healthcare? How do we bridge the gap between AI research and clinical practice? Join this expert panel and ask our panellists questions.
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.
  2. 30 mins
    As we see a rise in skills gap for experience data science, we explore how to develop a data science competent team, including what skills and training are needed. How does this affect your AI maturity? Can we enlist alternatives like no code and low code AI play a part in this? What’s the importance of investing time and money into this? How do you build an inclusive data science team for better representation? What business applications can we take from it? Why not ask the questions that you need to know!
10:40
  1. 25 mins
    • Exploring the energy consumptions that AI models are using and how to minimize the environmental impact. 
    • As a data scientist, do you have the power to guide your processes sustainably? 
    • Guiding your customers to the more environmentally friendly choice 
10:55
  1. 20 mins

    AI has the potential to enable businesses not only to respond faster than attackers can move, but also anticipate these moves and react to them in advance. However, challenges of rolling out AI in cybersecurity remain. Join this panel to hear from security experts on their opinions of adopting AI in cybersecurity, the promise, the challenges and the future.

11:00
  1. 60 mins
    3 mins x 10 start-ups 
  2. Finance Morning Networking Break
    30 mins
  3. 60 mins
    Students and delegates taking part in the AI Summit London Hackathon will benefit from an exclusive workshop by our Hackathon partners.
  4. 40 mins
  5. 60 mins

    The Solution Room is designed to give participants the opportunity to receive peer-supported, instant advice on their most pressing problems. Participants will be divided into small groups of 6 -8 people and each participant will get a fixed time to explain their challenge to their table peers and receive advice and support.

    Note: please think of a challenge for which you would like to receive peer advice before attending this session.

    Space is allocated on a first come first served basis. Please watch out for the sign up link. 

11:05
  1. Next-Gen Applications Morning Networking Break
    30 mins
  2. 25 mins
    How do you ascend your AI and ML work to the next level through transfer learning and deep reinforcement learning to solve the more complex problems? How do you build it yourself? Do I need to build it myself? What are the responsible implications of it? Is it something you’ve already incorporated or is it something you weren’t aware you needed to incorporate?
11:10
  1. 25 mins
    World leaders have committed to achieving Universal Health Coverage by 2030 as part of Sustainable Development Goal 3 (SDG 3). Can AI and digital change the way health and care are provided and accelerate the achievement of SDG 3? How can we create an enabling environment for building AI-driven digital health systems?
11:15
  1. AI At Scale Networking Break
    20 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.

  2. Practitioners Morning Networking Break
    20 mins
11:35
  1. 40 mins

    The sheer volume of data that needs to be assessed for developing pathways to net zero and adapt to climate impacts means that human decision-making needs to be augmented with AI. What are the ways that AI can help in tackling climate change? Join this expert panel to hear from climate and industry leaders.

  2. Industries Networking Break
    20 mins
  3. 25 mins
    • Extracting key-fields from a variety of images and document types remains a challenging machine learning problem. 
    • The speed-limit for extracting information using cloud services such as AWS and Google Cloud remains in the ~3-5+ seconds range, too slow for utilizing video and augmented reality. 
    • We propose an ultra-fast on-device solution that extracts fields from invoices and receipts in the sub-second range, with speeds approaching 200ms on modern devices. 
    • Real-time scanning and extraction open new products and workflows.
11:50
  1. 25 mins
    Equip you and your team with all the know-how for taking your AI processes and workflows to the next level through hyper-automation, from decreasing time and effort to get jobs done, to improving data visibility, quality, integration, business intelligence, and access to optimize all systems. Leading on to better profit lines and boosting productivity
12:00
  1. 60 mins
    3 mins x 10 start-ups 
  2. 150 mins

    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 industry experts to drive change with purpose and intent. A writeup will be shared following these discussions.

     

    • How might AI influence the global ambition to reduce how emissions between now and 2050?
    • Can AI contribute and be an ally to sustainable development by helping predict errors and plan sustainable development goals more effectively?
    • How do we measure and track and report on what is happening inside our company as it relates to environmental sustainability?
    • What behavioural changes are required and how do we ensure that we create an energy system which is equitable and affordable?
    • What are the policy instruments, frameworks and incentives needed to accelerate decarbonisation and scaling up renewable energy?
    • What are the best steps for the ecosystem to collaborate on driving Green AI? 

     

    *To participate please sign-up. 

  3. 60 mins
    A unique opportunity for those taking part and our Hackathon partners to connect and explore opportunities over drinks.
  4. 40 mins
    • How to detect bias in models: Is it in your data or is the problem with the practitioners? Do you need a core differentiated team with diverse backgrounds?
    • How do we tackle the challenge of inference and how do we measure the bias of your model and integrate that into the development of the ML model team?
    • Where are areas for improvement? And why is the model performing better than your team’s intuition? 
  5. -60 mins
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.
12:15
  1. 25 mins
    Sentiment analysis has become a unique and powerful tool which helps businesses determine the social aspects of customer interactions with their brands. For example, researchers using NLP based sentiment analysis to identify believers and deniers of the climate change. What does the future of Sentiment Analysis look like? Will it go deeper, boarder and far past the surface of the number of likes, comments, and shares, and truly understand the significance of social media interactions?
  2. 40 mins
    How can MLOps be more data driven? How can we utilize the power of it to fastrack your operations to clean profits? We’ll look at why easing operational costs through automation and quickening of the development and production life cycle isn’t possible without the data in the first place. Our expert panel have successfully unified the two already and chat through with us how and why they went about it.
12:35
  1. Finance Lunchtime Networking Break
    85 mins
  2. 25 mins

    Large Language Models are the hottest topic in AI now These conversational agents are very useful in healthcare, especially in mental healthcare. However ethical issues remain. Join this interesting talk from James Brusseau to understand the implication of applying large language models in healthcare.

12:40
  1. AI At Scale Networking Break
    80 mins
  2. 25 mins
    • Data management drives successful AI and ML models. Learn about best practices to ensure high quality data is ingested by the models.
    • How do you ensure relevant data is fed into the AI/ML model to generate the right decisions? 
    • Each industry has its own way of managing data – what are some common best practices across the board?
12:45
  1. Lunchtime Networking Break
    75 mins
12:55
  1. Practitioners Lunchtime Networking Break
    65 mins
13:00
  1. 60 mins
    Students and delegates taking part in the AI Summit London Hackathon will benefit from an exclusive workshop by our Hackathon partner.
  2. Industries Networking Break
    60 mins
13:05
  1. Next-Gen Applications Lunchtime Break
    60 mins
14:00
  1. 120 mins
    • 5 x start-ups with the best pitches and greatest potential will be invited to the final round. Each start-up will be given 15 mins to answer questions from the investors.
    • Judge’s Verdict: At the end of round two, each judge will be given 1 min to provide constructive feedback on their favourite start-up. Winner will be chosen by the judging panel based on strength of idea, a robust business plan and ROI.
  2. 25 mins
    Is it wiser to focus on small wins and put AI to work in limited, non-critical areas before promoting it to bigger and better things? Is it better to take smaller pieces and then connect them? Where can we find the lower hanging fruit in AI and ML?
  3. 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.
  4. 60 mins
    Our exclusive judges and mentors will walk through all submissions to give valuable feedback to participants, to help them understand why they, ultimately, didn’t win. Winners will be announced by judges at the end and the prizes will be awarded to the successful team.
  5. 25 mins
  6. 25 mins
    The energy world is changing radically. Renewable energy is emerging as the most reliable alternative for our future; however, among the leading sources of renewables, solar and wind are dependent on the weather and are unpredictable. We need intelligent, innovation solutions the balance out these fluctuations. Join this talk to hear from energy leaders on how to use AI and ML to solve these challenging issues.
  7. 30 mins

    The Developer Tool Assessment session is designed to help practitioners identify the most suitable developer tools for AI development. Three solution providers have been selected to join each session in a rapid fire style. We asked them to address three key issues in their talks. 

    In session three, we will exam machine learning tools and platform with little coding skills required. Speakers will address below three issues in their talks:

    • Versatility - the ability of handling different problems and data types
    • Scalability - accelerate model discovery and evaluation
    • Responsibility - provide measurable and understandable results

    Space is allocated on a first come first served basis. Please watch out for the sign up link. 

  8. 25 mins
    Worldwide organizations are making NLP at the heart of their data science team’s work for various areas of the business. Dedicating time and investment to NLP is catapulting some to far better returns as they see real, actionable insights, improve customer satisfaction, and streamline processes to reduce costs. The scope of NLPs is on the brink and only set to grow as this area of technology grows.  
14:05
  1. 25 mins
    • MLOps is on the rise. What tools and what tech do we use to scale it up, and how do we adapt?
    • Evaluating the strategy for adapting ML Ops as viewed not only through the tools used but also use cases and business processes. All these parts need to be understood, to increase the effectiveness of using ML Ops.
14:25
  1. 40 mins
    How do we quantify the potential value of AI investment? How do we select AI projects with tangible value and a clear path to production? How do we establish trust between data team, business units and leadership? PANEL DISCUSSION
  2. 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.

  3. 40 mins
  4. 40 mins
    How is AI facilitating the advancement of sustainability? What innovations and systems are set to change the energy landscape? Can AI and machine learning open new paths for humanity to embrace sustainability? Join us for a panel discussion on this critical and fascinating subject.
  5. 25 mins
    Challenges like using sources for your data that leave it unstructured and unlabeled increases the need for synthetic data, but it also creates benefits - this also allows for better training of models. Do you need more data? Do you need external or aggregate data? What about feature engineering? Some of the tech giants like Facebook and Google train their models effectively. We’ll explore how they achieved this in a real use case including everything needed to execute it yourself.
14:45
  1. 50 mins

    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 research and innovation institute on a specific researching project. Discussion will focus on how to turn research innovation into business practice.

    This session will be led by Omdena. Omdena and Hanson Robotics collaborate on the research project for GAIA Compassion AI. The results from the research project are currently being integrated into the most advanced human-like robot, Sophia. Omdena project lead will share their experience of testing and experimenting compassion AI.
     

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.
  2. 25 mins
    Most of us use big data analytics but are getting all the answers we need from it? Advanced analytics helps businesses find new forms of data including streaming/real-time data, geospatial analysis, graph data and analysis, to tackle new case studies. Within advanced analytics there are five subsets as well, all with different functions. What do these allow for? How do they help boost productivity with operationalization and scale? To overall enable better decision intelligence.
14:55
  1. 40 mins
    • The primary benefits of MLOps are efficiency, scalability, and risk reduction.
    • Efficiency: MLOps allows data teams to achieve faster model development, deliver higher quality ML models, and faster deployment and production.
    • Scalability: MLOps also enables vast scalability and management where thousands of models can be overseen, controlled, managed, and monitored for continuous integration, continuous delivery, and continuous deployment.
    • Analyzing the best strategies and practices for ML Ops. What tool and what system do you use – and how do you adapt this? 
15:00
  1. -60 mins

    A session where VIPs will share their ideas on how to solve critical global issues.

    Participants will be divided into 6-8 people per group and each group will be given a particular world challenge, i.e., hunger and water scarcity, climate crisis, health, gender equality, inequality. Participants will discuss ideas with their table peers within a fixed time. The moderator will summarize the conclusions and key takeaways will be shared with the VisionAIres community.   

15:05
  1. AI At Scale Networking Break
    20 mins
  2. 25 mins
  3. 25 mins
    What are the capabilities of AI for climate action across different sectors? What is the policy-relevant bottlenecks? How do businesses, academia, government, and communities come together to ensure responsible adoption of AI climate solutions?
15:15
  1. Practitioners Afternoon Networking Break
    20 mins
15:25
  1. 25 mins
    Join this session to hear from leading investors why they are backing AI start-ups led by female and underrepresented founders? What are the benefits? What are the challenges? What are investors looking for?
15:35
  1. 40 mins
    • How to better communicate the value AI produces and what AI is and is not. There are intelligent people who have fed over hyped news of AI taking away their jobs – and even being sentient. These are concepts which practitioners must address and demystify. 
    • Illustrating AI models in a way that the lay man can understand. 
    • Educating the public about the basic models and what data these models use, as well as the value of data and where we may be heading
    • Helping people understand the value of data and privacy: Exploring ways in which participants could be rewarded for granting access to their data, such as those seen in blockchain projects, where people may be paid for providing a small fraction of their data. 
  2. 25 mins

    Where do we need to start to think about ethics as we build our AI use cases? How do we ensure over the lifetime of our project that it’s ethical and how do we control this? In our processes we need to be ensuring we’re curating models that adhere to your organizations policy and governance. What are the challenges when models are built inclusive of ethical considerations?

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.
15:50
  1. 40 mins
    The corporate world increasingly seeks more diversity in all aspects of doing business. What are the proactive steps, minority and women-owned AI businesses should take in order to get access to more companies? How do government, corporate and communities support minority and women-owned AI businesses? ' Backing from the investment community on female and minority entrepreneurs
  2. 40 mins
    We are at the beginning of the adoption curve for AI, and the long-term benefits will soon be witnessed. Which industries will be disrupted most by 2023? Which industries will be the most resistant to AI? How will AI impact businesses in the coming years?
16:00
  1. 20 mins
    • The winner will receive extensive attention from investors, potential business partners and talent, as well as valuable media coverage, i.e. AIB interview, featured on AIB news and being promoted across AI Summit media channels. 
  2. 40 mins
    The US Administration has disclosed that it plans to make climate change reporting mandatory for companies – is this what the industry needs? Are we finally coming close to realizing standards that make working within ESG parameters easier? We explore if this still leaves us exposed to new challenges to creep in, or if this resolves anything at all.
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.
16:30
  1. 5 mins
  2. 5 mins
  3. 25 mins
    In this unique session, five AI in Climate Action use cases will be shared and the audience will have the opportunity to vote on the use cases which are the most interesting and inspiring.

 

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