The Frontier of Generative AI in Enterprise
1 - 2 April 2025
| Novotel London West, UK
Main Conference Day One - Tuesday 21st May
Tuesday, 21st May, 2024
This agenda is subject to change.
Morning Plenary Session
7:30 am - 8:15 am
Registration & Breakfast
8:15 am - 8:30 am
Chairs Opening Remarks
Stefanie Khan -
Director of Business Intelligence & Advanced Analytics,
UPS
8:30 am - 9:00 am
Opening Keynote Presentation: Our AI-Accelerated Future
Cassie Kozyrkov -
CEO, Data Scientific & Google's first Chief Decision Scientist,
Data Scientific
What lurks just beyond the buzz and hype of generative AI? A new landscape of threats and opportunities that will transform our experiences, our businesses, and society as a whole. While most perspectives on AI are mired in a long history of science fiction, in this keynote we’ll cut through the noise to take a brutally honest look at what generative AI means not only for your bottom line but also for our collective future.
Cassie Kozyrkov
CEO, Data Scientific & Google's first Chief Decision ScientistData Scientific
9:00 am - 9:30 am
Morning Keynote Presentation: Unleashing Generative AI into Production: Driving Enterprise Growth
May Habib -
Co-founder and CEO,
Writer
Unleashing Generative AI into Production: Driving Enterprise Growth
While the hype surrounding Generative AI has been significant thus far, 2024 marks the year of tangible results and return on investment. In this session, May will delve into common roadblocks that enterprise leaders are facing and explore strategies enterprises can take to transition from proof of concept to robust production, unlocking the best of Generative AI for tangible business growth. Join to delve into:
- Transitioning proof of concept projects into robust production for tangible results.
- Ensuring data readiness and thoughtful integration of Generative AI into business processes.
- Identifying industry-specific use cases and optimizing implementation for cross-industry enterprise success.
9:30 am - 10:10 am
Morning Plenary Panel Discussion: Generative AI’s Enterprise Big Break - C-Suite Perspectives
Sanjeevan Bala -
Global Chief Data & AI Officer,
ITV
JoAnn Stonier - Mastercard Fellow of Data & AI, Mastercard
May Habib - Co-founder and CEO, Writer
Victor Azria - Global Data Director, JCDecaux
With all businesses under pressure to implement Generative AI, we will be hearing from some of the enterprises C-level executives, delving into how the recent Generative AI revolution is set to alter businesses in terms of strategy, innovation, profit, customer experience, operational functionality. Join to ask your burning questions to those overseeing these large-scale changes.
10:10 am - 10:40 am
Morning Coffee Break
Morning Streamed Sessions
Stream A – Responsible AI in The Residency
10:40 am - 10:40 am Stream Chair Myrna Macgregor - Principal Data Strategist and Lead for Responsible AI & Robotics, Ocado Technology
Myrna Macgregor
Principal Data Strategist and Lead for Responsible AI & RoboticsOcado Technology
Stream A – Responsible AI in The Residency
10:40 am - 11:10 am Responsible AI for All James Fletcher - Responsible AI Lead, BBCGenerative AI has made AI tools far more accessible – it’s no longer just data scientists and engineers who can access AI. AI can provide value across your organisation for a huge range of people and tasks. As well as democratising the benefits, this also means everyone needs to be aware of and managing the risks. But a lot of established approaches to responsible AI are set in the context of data scientists building models. So how do we make sure everyone is doing the right thing? This talk highlights the importance of democratizing responsible AI practices, ensure all use of AI is responsible, inclusive and fair.
Fostering a culture of responsibility and inclusivity throughout the organization to scale AI initiatives effectively and responsibly.
Providing training and tools to empower all members of the organization to contribute to responsible AI efforts.
Stream A – Responsible AI in The Residency
11:15 am - 11:45 am Implementing AI Guardrails, Change and Adoption Will Sach - Director of Data Strategy, News UKAs businesses delve into the transformative realm of generative AI, establishing robust guardrails becomes paramount. This session delves into the critical elements of developing and implementing AI guardrails, emphasizing the importance of ethical principles, governance, and data security.
• Establishing Ethical AI Principles: Develop and disseminate clear ethical guidelines for AI development and deployment.(Development of an AI Principles Framework)
• Instituting Robust Governance: Implement governance frameworks to ensure responsible AI use across operations.(Development of an AI Governance Framework including Dos & Don’ts)
• Distinguishing Public vs. Private Instances: Define and communicate policies differentiating AI usage in public versus private domains. (An AI Use-case checklist to screen innovation opportunities)
Stream A – Responsible AI in The Residency
11:50 am - 12:20 pm Panel Discussion: Navigating Responsible AI in Generative AI Development Nataliya Tkachenko - Generative AI Ethics & Assurance Lead, Lloyds Banking GroupJames Fletcher - Responsible AI Lead, BBC
In an era of powerful generative AI, ensuring responsible practices is paramount. Join our expert panel to delve into the significance of ethical AI, offering actionable insights for businesses, exploring:
- Ensuring transparent AI decision-making processes, mitigating biases, and promoting fairness and accountability.
- Implementing robust data governance practices to safeguard user privacy and maintain ethical AI operations.
- Fostering interdisciplinary collaboration to incorporate diverse perspectives, aligning AI development with societal values and norms.
Stream B – Marketing in the NFL Press Auditorium
10:40 am - 10:40 am Stream Chair Maria Santacaterina - Global Strategic Leader, Board Executive Advisor, renowned Author of “Adaptive R, Santacaterina Consulting
Maria Santacaterina
Global Strategic Leader, Board Executive Advisor, renowned Author of “Adaptive RSantacaterina Consulting
Stream B – Marketing in the NFL Press Auditorium
10:40 am - 11:10 am Generative Marvels: Consumer Facing Marketing – Journey & Use Cases Jean-Paul Paoli - Generative AI Business Transformation Director, L'OréalDelve into the crucial realm of consumer-facing marketing, exploring:
- Augmenting marketing with new use cases, enhancing services while adhering to legal practices.
- Elevating content utilizing generative AI for visual storytelling, & ideation.
- Navigating the uncharted territories of consumer marketing, experimenting, and scaling innovations for impactful result
Stream B – Marketing in the NFL Press Auditorium
11:15 am - 11:45 am Generative Triumphs: Unlocking ROI Insights for Content Marketing Excellence Matthew Blakemore - AI Strategist, Creative Industries, AI Caramba!
Stream B – Marketing in the NFL Press Auditorium
11:50 am - 12:20 pm Panel Discussion: Navigating Generative AI: Copyright, Stakeholder Rights & Plagiarism in Creation Alice Poorta - Former Strategy Manager - YouTube, GoogleEvie Kyriakides-Stenhouse - Group Head of Data Privacy and Chief Privacy Officer, Natura & Co.
Matt Hervey - Head of Artificial Intelligence, Gowling WLG
In the dynamic landscape of generative AI, understanding copyright, stakeholder rights, and plagiarism is imperative. This session explores the significance of safeguarding intellectual property and promoting ethical AI practices.
- Implementing Robust Copyright Policies: Develop and enforce policies to protect intellectual property in AI-generated content.
- Clarifying Stakeholder Rights: Clearly define and communicate rights of stakeholders in AI-generated creations.
- Preventing Plagiarism: Employ AI tools for plagiarism detection to maintain originality and compliance.
Stream C – Use Cases in the NFL Locker Room
10:40 am - 10:40 am Stream Chair Zac Hinton - Director, Data Product Strategy, Lloyds Banking Group
Stream C – Use Cases in the NFL Locker Room
10:40 am - 11:10 am How Generative AI will Transform Publishing by Increasing Efficiency and Effectiveness Terry Hornsby - Group Digital and Innovation Director at Reach plc & Executive Vice President at, MantisReach plc is one of the UK's biggest newspaper groups with over 120 regional publications and brands like the Daily Mirror and OK! Magazine.
Terry and his team have developed Mantis which leverage Generative AI across the publishing business. In his session he will cover:
- Creation and delivery of personalised content
- Brand safety and contextual advertising
- The importance of a human touch on every piece of content
In conclusion, Terry's insights into leveraging Generative AI across Reach plc's publishing business, including digital processes, shed light on how advancements in technology enhance efficiency, personalize content delivery, ensure brand safety, and emphasize the enduring value of human touch. Attend session to learn more.
Terry Hornsby
Group Digital and Innovation Director at Reach plc & Executive Vice President atMantis
Stream C – Use Cases in the NFL Locker Room
11:15 am - 11:45 am HR Case Study: Enhancing Employee Experience through a GPT powered Employee Assistant Wojciech Iwanczak - Digital HR Director, Schneider ElectricWojtek is leading the efforts to leverage Generative AI to enhance the effectiveness and efficiency of employee support.
In this session he will outline the initial results of the roll as well as vision for the GPT agent to assist with:
- Answer – provide information to employees to assist them with queries
- Act – interfacing with software to perform the actions from those queries
- Advise – providing guidance on actions to ensure optimal outcomes for the employee and the business
In conclusion, Wojtek's presentation offers a glimpse into the transformative potential of Generative AI in enhancing employee support, outlining initial results and envisioning a future where GPT agents provide answers, act on queries, and advise employees for optimal outcomes, thus driving efficiency and effectiveness across the organization. Attend session to learn more.
Stream C – Use Cases in the NFL Locker Room
11:50 am - 12:20 pm Panel Discussion: Mastering Use Case Selection for Optimal Generative AI Impact Premal Desai - Head of Data & AI, The Gym GroupJonathan Artus - Client Director, Softwire
Zsolt Szekeres - Head of Data Science, HR, Executive Director, Morgan Stanley
Zac Hinton - Director, Data Product Strategy, Lloyds Banking Group
Explore the critical role of strategic use case selection in maximizing generative AI's organizational impact.
- Defining clear business objectives to guide use case selection, aligning AI applications with organizational goals.
- Leveraging data-driven insights to prioritize use cases with high impact potential for generative AI.
- Establishing cross-functional teams to evaluate and validate selected use cases, ensuring broad organizational alignment.
In conclusion, by defining clear business objectives, leveraging data-driven insights, and establishing cross-functional teams, organizations can strategically select and maximize the impact of generative AI use cases, aligning AI applications with their overarching goals and ensuring broad organizational alignment for transformative outcomes. Attend session to learn more.
Stream D - People in the Stadium Briefing Room
10:40 am - 10:40 am Stream Chair Stefanie Khan - Director of Business Intelligence & Advanced Analytics, UPSStream D - People in the Stadium Briefing Room
10:40 am - 11:10 am Bringing People Along the Generative AI Journey to Maximise its Impact Paul Cardno - Global Digital Automation & Innovation Senior Manager, 3MGenerative AI has been a galvanising force at 3M, where Paul and his team have increased engagement and delivered multiple, high-impact GenAI-powered process changes by focusing on bringing the rest of the business along for the journey.
- From executives to everyone: ensuring that you have the necessary stakeholder engagement from the start for disruptive change
- Leaving each domain to the experts e.g., legal to the lawyers and the systems to IT
- Building small teams to work on each project, focused on self-selection, empowerment and wellbeing
- Focusing on communication across the business to deliver high-impact Generative AI solutions that deliver value from day one
Stream D - People in the Stadium Briefing Room
11:15 am - 11:45 am Cultivating AI Connections: Building Bridges in Data Culture Luke Vilain - AI Governance Lead, UBSLuke will explore the critical role of fostering interconnected data cultures in businesses for successful generative AI transformation.
- Nurturing & influencing AI culture in enterprise.
- Enhancing data literacy: Investing in training programs to elevate the organization's understanding of generative AI concepts.
- Facilitate knowledge sharing: Create platforms for sharing insights and best practices to promote collective learning.
Stream D - People in the Stadium Briefing Room
11:50 am - 12:20 pm Panel Discussion: Strategies for Enhancing Uptake and Adoption Across the Enterprise Robert Smith - Head of Emerging Technologies, FlutterHitesh Patel - Global Digital Director, IHG
As with all the technology - the key to unlocking it's value lies with people. Join this panel discussion to discuss:
- Prioritizing comprehensive training programs to enhance AI literacy across all departments
- Fostering stakeholder engagement through transparent communication and collaborative decision-making processes
- Implementing proactive change management strategies to align AI integration with business goals
Stream E - Data in the East Quarter Level 3
10:40 am - 10:40 am Stream Chair Rachel Harrison-Smith - Group Chief Enterprise Data Architect, Bupa
Stream E - Data in the East Quarter Level 3
10:40 am - 11:10 am chatdoc: Novel Information Extraction from Documents Using Generative AI Aymen Shabou - CTO of DataLab Group and AI Factory Group, Crédit AgricoleMohamed Dhouib - Researcher, École Polytechnique’s Informatics Lab, in close collaboration with t, Crédit Agricole’s DataLab Group
Explore the significance of extracting valuable insights from large documents using generative AI, addressing:
- Enhancing document analysis for various industries like finance and insurance with internal generative AI models.
- Improving user experiences in processing large documents through innovative open-source models and high-performance research.
- Leveraging generative AI's novel information extraction capabilities to transform traditional document analysis approaches.
Mohamed Dhouib
Researcher, École Polytechnique’s Informatics Lab, in close collaboration with tCrédit Agricole’s DataLab Group
Stream E - Data in the East Quarter Level 3
11:15 am - 11:45 am Bupa's Journey with Synthetic Data in Claims Rachel Harrison-Smith - Group Chief Enterprise Data Architect, BupaBupa operating in the highly regulated healthcare and finance sectors. In this session, Rachel will share lessons learned from their experimentation with synthetic data in the claims domain. Explore how they are navigating stringent regulations, preserving privacy, and maintaining data fidelity.
- Regulatory Challenges: Discover how Bupa addresses complex compliance requirements while implementing synthetic data solutions
- Privacy-Preserving Techniques: Learn about Bupa's strategies to safeguard sensitive information while reaping the benefits of synthetic data
- Fidelity and Realism: Explore how Bupa ensures synthetic data accurately mirrors real-world claims scenarios
Stream E - Data in the East Quarter Level 3
11:50 am - 12:20 pm Panel Discussion: Ensuring Effective Data Foundations for your Generative AI Initiatives Vasudevan Surendran - Chief Data Scientist, Innomotics GmbH, A Siemens CompanyNatalia Konstantinova - Architecture Lead in AI, bp
Mohamed Karous - Director of Product Marketing, Celonis
Dive into the data-driven future as our expert panel unravels how optimising your datasets can transform your Generative AI efforts through:
- Leveraging generative models to enhance data cleaning, ensuring high-quality datasets for robust AI applications.
- Implementing AI-driven data integration for streamlined processes, breaking down silos and fostering a cohesive ecosystem.
- Fostering a data-centric culture, encouraging collaboration between data scientists and business units for impactful insights.
Lunch
12:20 pm - 1:20 pm
Lunch
Afternoon Streamed Sessions
Stream A – Innovation in The Residency
1:20 pm - 1:20 pm Stream Chair Maria Santacaterina - Global Strategic Leader, Board Executive Advisor, renowned Author of “Adaptive R, Santacaterina Consulting
Maria Santacaterina
Global Strategic Leader, Board Executive Advisor, renowned Author of “Adaptive RSantacaterina Consulting
Stream A – Innovation in The Residency
1:20 pm - 1:50 pm Pioneering the Future of People: Staying Ahead of the Generative AI Innovation Curve Emanuele Colonnella - Innovation Lead, GeneraliThe pace of innovation in Generative AI is relentless, and staying at the forefront is essential. This session underscores the paramount importance of keeping pace with AI innovation and provides actionable steps for businesses to excel in their Generative AI endeavours.
- Establishing a dedicated AI research and development team to monitor and adopt the latest Generative AI breakthroughs.
- Fostering partnerships with AI research institutions, startups, and industry leaders to access cutting-edge technology.
- Embracing a culture of experimentation, risk-taking, and learning to adapt swiftly to evolving AI trends.
Stream A – Innovation in The Residency
1:55 pm - 2:25 pm Innovate from the Ground Up: Unleashing the Power of Generative AI Bottom-Up Transformation Petter Gran - Data scientist, Emerging Technology, Posten BringDrífa Daníelsdóttir - Senior Advisor & GDPR Coordinator, Emerging Technology, Posten Bring
Explore the impactful journey of innovating with Generative AI through a bottom-up organizational approach.
- Fostering grassroots adoption: rolling out learning experimental projects and focusing on using the employees to find use cases, empowerment and gain stakeholder engagement.
- Qualitative exploration: Encouraging experimentation without focusing solely on proving value, fostering a culture of innovation.
- Broad-scale training: Results of equiping all employees with prompt engineering skills to unlock the transformative potential of Generative AI.
Stream A – Innovation in The Residency
2:30 pm - 3:00 pm Panel Discussion: Crafting a Winning Generative AI Strategy for Business Transformation Wolfgang Hofmann - MD, Group Head of Technology and Innovation, Fresenius GroupSamuel Jeyakumar - Domain CTO & Head of Architecture, Post Office
Peter Gostev - Head of AI, Moonpig
Dive into the crucial process of curating a robust generative AI strategy for transformative business outcomes.
- Aligning generative AI strategy with overarching business goals for seamless integration and impactful outcomes.
- Collaborating across departments to gather diverse perspectives, ensuring a holistic and comprehensive generative AI strategy.
- Regularly reassessing and iterate the generative AI strategy to adapt to evolving business landscapes and technologies.
Stream C – Use Cases in the NFL Locker Room
1:20 pm - 1:20 pm Stream Chair Zac Hinton - Director, Data Product Strategy, Lloyds Banking GroupStream C – Use Cases in the NFL Locker Room
1:20 pm - 1:50 pm A Pragmatic Approach to Generative AI: Where to Look for Value Peter Gostev - Head of AI, MoonpigStream C – Use Cases in the NFL Locker Room
1:55 pm - 2:25 pm Leveraging Generative AI for the Future of Architecture Tim Fu - Designer and Founder, Studio Tim Fu LtdArchitectural design is undergoing a revolution with the integration of Generative AI, enabling architects to explore novel possibilities and create sustainable, efficient, and aesthetically stunning structures.
- Discovering how Generative AI streamlines the architectural design process, fostering creativity and efficiency.
- Learning how to implement AI-driven algorithms to optimize building performance and sustainability metrics.
- Exploring successful case studies of businesses integrating Generative AI for innovative architectural solutions and cost savings.
Stream C – Use Cases in the NFL Locker Room
2:30 pm - 3:00 pm Keeping up with the Pace of Change with Generative AI Jhung-Ha Kwon - Director, AI COE (Centre of Excellence), Mölnlycke Digital Enablement, MölnlyckeThe speed at which the industry is moving, and the demand for Generative AI capabilities from the business mean that keeping pace with the change is increasingly difficult. In less than a year, Jhung-Ha and his team have created their own instance of ChatGPT, rolled our Microsoft Copilot, and delivered custom AI chatbots, while refining a Gen AI adoption strategy. In this session, Jhung-Ha will share how to embrace Gen AI and accelerate adoption by:
- Delivering MVPs to the business while working on a longer-term approach.
- Developing use guidelines and governance.
- Defining an adoption strategy and solutions options for different use cases.
- Promoting self-service AI chatbot creation through no code and low code solutions.
- Driving adoption of Gen AI across business.
Jhung-Ha Kwon
Director, AI COE (Centre of Excellence), Mölnlycke Digital EnablementMölnlycke
Stream D - Healthcare in the Stadium Briefing Room
1:20 pm - 1:20 pm Stream Chair Jonathan Crowther - Head, Predictive Analysis, Pfizer
Stream D - Healthcare in the Stadium Briefing Room
1:20 pm - 1:50 pm Revolutionizing Clinical Operations: Exploring Emerging GenAI Use Cases within R&D & Clinical Operations Jonathan Crowther - Head, Predictive Analysis, PfizerJonathan will dive into the pivotal role of generative AI for the future of R&D and clinical operations, focusing on:
- Building safe spaces for regulated clinical environments to enable innovation and experimentation.
- Implementing a rollout strategy integrated with backend tools to support solutions without compromising security.
- Leveraging GenAI for edge AI applications, data access optimization, and time/cost-saving measures in clinical operations.
Stream D - Healthcare in the Stadium Briefing Room
1:55 pm - 2:25 pm Harnessing Multi-Modal Generative AI in Pathology Nikolay Burlutskiy - Director of Artificial Intelligence, AstraZenecaThe integration of AI in healthcare systems is pivotal for improving patient care, diagnosis, treatment, and operational efficiency.
- Leveraging AI for medical image analysis, predictive analytics, and drug discovery to enhance patient outcomes.
- Implementing robust data security and compliance measures to protect patient privacy in AI-driven healthcare systems.
- Foster collaboration between healthcare professionals, AI researchers, and data scientists to advance AI healthcare solutions.
Stream D - Healthcare in the Stadium Briefing Room
2:30 pm - 3:00 pm Panel Discussion: Advancements in AI for Research and Development Igor Menghini - Senior Director of Product, RocheJonathan Crowther - Head, Predictive Analysis, Pfizer
AI is reshaping the landscape of research and development (R&D), accelerating discovery, and driving innovation.
- Implementing AI-driven research tools and platforms to enhance experimentation, data analysis, and hypothesis testing.
- Fostering interdisciplinary collaboration between scientists, engineers, and AI specialists to maximize R&D potential.
- Embracing AI-powered automation to streamline experimentation processes, reduce costs, and expedite product development cycles.
Stream E – Infrastructure in the NFL Press Auditorium
1:20 pm - 1:20 pm Stream Chair Rachel Harrison-Smith - Group Chief Enterprise Data Architect, BupaStream E – Infrastructure in the NFL Press Auditorium
1:20 pm - 1:50 pm Advancing Generative AI Through Robust Infrastructure Support Divita Vohra - Senior Product Manager, SpotifyDelve into the critical aspects of supporting AI infrastructure for tangible business impact, covering:
- Implementing bias evaluation and adhering to popular standards for ethical and unbiased generative AI applications.
- Tracking and managing experimentation to drive informed decision-making in the dynamic landscape of generative AI.
- Evolving ML platforms, incorporating best practices and lessons to create a centrally managed, scalable infrastructure.
Stream E – Infrastructure in the NFL Press Auditorium
1:55 pm - 2:25 pm Building the Foundation: Strategies for Sustainable Generative AI Infrastructure Detlef Nauck - Head of AI & Data Science Research, BTExplore the crucial role of infrastructure in driving sustainable and cost-effective Generative AI solutions. This talk delves into strategies for optimizing infrastructure to manage performance, sustainability, affordability and control.
- Evaluating the cost-effectiveness of running AI models via APIs versus building and managing internal compute resources.
- Strategically Investing in technology infrastructure that supports responsible AI practices, including managing bias and sustainability.
- Exploring innovative approaches such as knowledge graphs to minimize model dependency and optimize performance.
Stream E – Infrastructure in the NFL Press Auditorium
2:30 pm - 3:00 pm Panel Discussion: Mastering Data Democratization, Access & Storage for Transformative Generative AI Applications Kazik Surala - Head of Data Governance & Analytics- Poland, Phillip Morris InternationalSteve Jarrett - Chief AI Officer, Orange Group
Explore the pivotal role of data access in generative AI, addressing:
- Enhancing accessibility to diverse datasets, a critical foundation for robust generative AI models.
- Simplifying data access and democratizing insights for business users through innovative generative AI applications.
- Establishing secure partnerships and leveraging cloud solutions for seamless and efficient data accessibility.
- Developing internal capabilities and protocols to streamline data access, ensuring sustained generative AI success.
- Simplifying data access and democratizing insights for business users through innovative generative AI applications.
Afternoon Plenary Session
3:00 pm - 3:30 pm
Afternoon Coffee Break
3:30 pm - 4:00 pm
Afternoon Plenary Panel Discussion: A New Era Unleashed? Decoding Media & Communication's Evolution in the Age of Generative AI
Peter Archer -
Programme Director of Generative AI,
BBC
Máuhan Zonoozy - Head of Innovation, Spotify
Grace Boswood - Technology & Distribution Director, Channel 4
Rupert Daniels - Director of Services and Skills, Department for Business and Trade
Uncover the profound shifts in content & media as generative AI revolutionizes creativity, innovation, and storytelling.
- Delve into the transformative impact of generative AI on content creation, from inception to distribution.
- Explore the dynamic interplay between technology and media, deciphering the broader implications for societal narratives.
- Gain insights into how media professionals and audiences alike can navigate and appreciate the evolving landscape.
4:00 pm - 4:30 pm
Afternoon Keynote Presentation: The Future of Enterprise AI Transformation: From Prototype to Production
Alex Ratner -
Co-founder and CEO,
Snorkel AI
Enterprises are at a critical juncture in adopting Generative AI. Leveraging complex data and transitioning AI prototypes to scalable, long-term solutions are paramount challenges. Business leaders must demonstrate that they are leveraging AI to deliver better results faster, and that requires a basic understanding of how your enterprise data can be used to train and tune LLMs for unique advantage.
Attend this keynote, led by Alex Ratner, Stanford PhD and founder of Snorkel AI, to understand the current and future state of enterprise AI adoption, and ensure you are on the right side of this transformation. In this session we will delve into:
- The future of programmatic, vs manual AI data development
- The future of LLMs as enterprises move away from hyper large models, to purpose built micro models for higher efficiency & precision in addressing business needs.
- What enterprises need to do to equip their LOB and data science teams for success
4:30 pm - 5:00 pm
Afternoon Plenary Panel Discussion: Women in AI - Building a Forward-Thinking & Inclusive Culture in your Business
Stefanie Khan -
Director of Business Intelligence & Advanced Analytics,
UPS
JoAnn Stonier - Mastercard Fellow of Data & AI, Mastercard
Laura Edell - Chief Data Scientist, AI Markets & Innovation, Microsoft
Aarti Bagul - Head of Field Engineering, Snorkel AI
Women are under-represented at all levels in the technology sector. Particularly within leadership positions, where they represent only 24% of professionals. In the field of artificial intelligence, only 22% of professionals are women. Just 18% of authors at leading AI conferences are women. Unveiling the underrepresentation of women in the technology sector, this panel discussion addresses critical discussion points and strategies to increase visibility and amplify the voices of women in the field of AI.
- Enhancing representation: Implementing strategies to increase the visibility and inclusion of women in AI.
- Amplifying voices: Providing platforms for underrepresented groups to showcase their expertise and perspectives.
- Empowering leadership: Cultivating an inclusive culture by empowering women in leadership positions within the AI industry.
5:00 pm - 5:00 pm
Chairs Closing Remarks & End of Conference Day 1
5:15 pm - 8:15 pm
NETWORKING DRINKS AND EVENING ENTERTAINMENT
Last year saw our delegate’s join us at the Syon House Conservatory for an Alice in Wonderland themed evenin with canapes, drinks and music.
DETAILS ON OUR 2024 PLANS TO FOLLOW!
