This session explores the importance of understanding and managing the risks associated with generative AI with specific reference to:

·       Risk Assessment Techniques: Developing practical strategies for conducting comprehensive risk assessments of generative AI applications

·       Ethical Frameworks: Establishing ethical frameworks to evaluate and mitigate potential risks in generative AI systems

·       Auditing Staff Capability: Understanding the capability gaps in your organisation and how they can be addressed

·       Governance: how data and model governance should evolve to remain appropriate and adequate to mitigate relevant risks

Wendy Zhang

VP of Data & Analytics
Hayward Holdings, Inc

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The power of large language models has revolutionized the infusion of AI into many aspects of everyday life. As organizations exploit this technology, we will undoubtedly see and feel an impact on the quality of services they provide. In this talk we will share compelling use cases demonstrating significant productivity leaps in critical sectors that require careful scrutiny, like law enforcement, where the application of LLMs is not just beneficial but transformative. Furthermore, we delve into how marketers can utilize LLM-based technologies in a safe and reliable manner as creative and efficient aids for crafting compelling narratives and strategies.

• Hear an AI software vendor’s perspective on responsible delivery and application of this technology
• Witness immense productivity gains realized in high-impact use cases such as law enforcement
• See how LLM-based MarTech technology can be used to enhance marketers' creativity and efficiency

Sponsored by: SAS

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Brett Wujek

Head of AI Product Strategy
SAS Institute

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Mac Carlton

Associate Systems Engineer
SAS Institute

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Join us as we explore the complexities of introducing generative AI in regulated institutions. John will explore tangible takeaways on how we can find solutions to successfully implement generative AI on large scales, in currently unchartered situations, adhering to regulatory compliance through:

·       Understanding the obstacles and roadblocks that come with introducing generative AI into regulated institutions.

·       Learning the importance of a phased approach in this scenario.

·       Understanding and handling different types of data, different regulatory hurdles and how to integrate vastly differing job functions to optimize the process.

Amir Ghavi

Partner
Fried Frank

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Dive deep into the world of advanced spacecraft componentry with the groundbreaking use of AI and robotics. In this illuminating talk, we'll delve into the revolutionary approach of using Evolved Structures to craft optimized space equipment. By intertwining the powers of artificial intelligence with precise robotics, NASA has not only achieved unparalleled efficiency but has also unlocked lessons that resonate far beyond the realms of space.

· Explore how NASA's foray into integrating AI into mission-critical tasks has birthed a robust methodology, ripe for application across various industries.

· Witness the magic of robotics working seamlessly with AI, forging spacecraft components that were once the stuff of science fiction.

· Understand the vast implications of this synergy: from hastening production timelines to achieving hitherto unattainable levels of product performance.

· Embark on a visionary journey into the future, where the lessons from space tech meld with everyday industries, heralding a new age of opportunity.

Join us as we chart a course through the stars, and back, unveiling the immense potential of AI and robotics in reshaping our world..

Ryan Mcclelland

Research Engineer
NASA

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In today's data-driven world, the quality and quantity of data play a crucial role in generating meaningful insights. However, small data sets can limit the ability to draw accurate conclusions. This session will explore how generative AI can provide a solution to this challenge by creating synthetic data to expand the available data set. In this session Venu will cover:

- Understanding the limitations of small data sets in marketing insights

- Overview of generative AI and its potential to generate synthetic data

- Use cases and examples of generative AI in marketing research and insights

Venu Vasudevan

Senior Director, Data Science and AI Research
Procter & Gamble

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The success of a large language model (LLM) heavily depends on the quality of training data. In this session, we will discuss the steps you should take when deciding on the right training data for your LLM.& the next potential steps for your business as many move towards

·       Defining your specific problems, APIs and identifying the types of data required

·       Ensuring your training data is diverse, unbiased, and representative of your target audience

·       Continuously monitoring and refining your training data to improve the LLM's accuracy and minimize bias

·       Dissecting the use of synthetic data & digital twins

·       Exploring in-house LLMs - cost, requirements, challenges, outcomes

Stavros Zervoudakis

Head of AI, Data Science, Machine Learning and Advanced Analytics
Mutual of America Financial Group

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Bruno Janota

AI Research Engineering Sr. Manager, Lockheed AI Center (LAIC)
Lockheed Martin

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Tina and her team of 60 content designers and content technologists have been leveraging Generative AI technology to improve content creation, product and enhance the customer experience. In this session she will cover:

- Leveraging generative tools to create headlines, email copy and content

- Enhancing idea generation for content ideas and themes

- Enabling nonprofessional writers to write in the company style and tone

- Supporting UX professionals in their UX writing and micro content

- Embedding generative tools into products to support customers in their writing

Tina O'Shea

Director, Content Design & Design Tech
Intuit

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Rama's focus is on leveraging advanced AI technologies to enhance the customer experience. In this presentation she will share:

- Using Generative AI to enhance experience through customer self service channels such as apps, SMS and the website 

- Utilizing image generation tools to create content for marketing teams

- Addressing the concerns around privacy and controls with the new technology

Rama Mahajanam

Director of Machine Learning
Comcast

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Join ZS Partner, Gopi Vikranth, who leads AI products at ZS, for a dynamic discussion about how organizations around the globe are utilizing Generative AI agents for everything from marketing funnel conversion, call center efficiency enablement to personalization at scale. 

Sponsored by: ZS

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Gopi Vikranth

Principal / Partner
ZS

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With this explosion of models, comes an explosion of potential data issues. The types of data that LLMs are trained on and how these are deployed come with many challenges, and in this presentation, Patricia will explain how we can responsibly operationalize generative AI within the enterprise.

Attendees will walk away with a new understanding on how to address key ethical, privacy, sovereignty and security concerns and implement smart practices to ensure effective and ethical AI usage through:

·       Understanding data selection for LLMs and how it impacts responsible AI.

·       Addressing the concerns of implementing generative AI, such as hallucinations.

·       Preserving privacy and sovereignty during training on public and private data for LLMs.

Miku Jha

Director of AI/ML
Google Cloud

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In this talk, learn how Shutterstock’s unique, ethical and artist-centric approach to Generative AI allows their partners to create content not only at the speed of their imagination, but with confidence. With a focus on business considerations, join Michael to discover valuable insights on why implementing the right strategies is crucial for ethical and successful commercial utilization of this technology.

• Understanding how Generative AI fits within Shutterstock’s offering as a global content provider

• Exploring Shutterstock’s unique approach in adapting to change, including artist compensation, legal protections and indemnifications

• Leveraging partnerships and collaborations to ensure innovative yet safe content generation

Michael Francello

Director of Innovation
Shutterstock

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In this session, attendees will delve into a case study on strategizing and risk assessing how generative AI can help improve business workflows and decrease non-productive time to save costs. They will gain valuable insights through:

·       Identifying and contextualizing areas of business where AI can be focused to achieve a higher ROI

·       Exploring the potential impact of generative AI on non-productive time in industries like energy, and the importance of combining different AI tools to achieve the best results

·       Delving into the risks and sustainability concerns involved of large scale adoption

Satyam Priyadarshy

Former Chief Data Scientist and Technology Fellow
Halliburton

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In this talk, Paul will explore the impact of integrating AI into architectural design, particularly in improving client engagement. Attendees will gain insights on ways to use generative AI to model and simulate constraints, optimize architecture, and co-design with clients using AI.

Key outcomes of the presentation include:

·       Understanding the benefits of integrating AI into architectural design, including the ability to model constraints and predict the future

·       Learning how to leverage AI tools to engage clients in the design process and co-create more holistic solutions

·       Gaining insights on responsible use of AI in architectural design, including considerations around bias embedded in models and communication strategies to alleviate existing inequalities

Paul Howard Harrison

Computational Design Lead
HDR

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Exploring the impact of generative AI tools on content creation is essential for business leaders to understand the transformative potential of this technology. This talk highlights the broader impact of AI on creativity as a whole, providing insights that business leaders should be exploring & aware of in this ever-changing field such as:

·       Augmenting human creativity: Generative AI enhancing creative processes and expanding artistic possibilities

·       Democratizing creativity: the impact on AI enabling broader access to creative tools

Corbett Drummey

Vice President, Brand Collaboration
Lightricks

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It’s safe to say we live in a video-first world.

In fact, 9 out of 10 people prefer learning about products or services through video over text. Also - employees are 75% more likely to watch a video than to read documents, emails, or PowerPoints.

However, only ~1% of a company’s employees have the skills to create videos. The remaining 99%, from training and support to sales departments, primarily rely on text-based resources like PowerPoints and PDFs to share information with each other and customers.

Synthisia is changing this, empowering the 99% by making video easy for everyone. 

Synthesia enables anyone to create high-quality content, nearly identical to human produced. This includes text, images, music, voices, and hyper-realistic digital humans, all generated with simple text input. 

In this session, you’ll learn how Synthesia’s large enterprise customers are:

• Doing away with long, dense handbooks, PDFs, and instead opting for engaging videos featuring AI avatars that can deliver information to employees in 140+ languages.
• Creating high-quality, professional videos without the need for cameras and studios.
• Allowing quick and easy updates to videos to keep information up to date without having to create a new video every time.
• Enabling anyone on the team, from an HR manager to a salesperson, to become a video creator.

Steffen Tjerrild

Co-Founder, COO & CFO
Synthesia

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Travel is an industry that is often singled out as being vulnerable to disruption. In this session, Charlotte will share how Booking.com has flipped that on it’s head by integrating Generative AI into their products to increase personalisation and engagement. She will address:

• Customer and industry insights - power of AI for Travel
• Focusing on personalisation and ‘building a connected trip’
• The differentiated experience of the AI Trip Planner
• Training LLM’s on first party data to provide a differentiation in customer experience
• Developing effective security and risk management protocols to avoid data leakage
• Creating guardrails, and leveraging disclaimers, to limit the impact of incorrect information
• Enhancing customer experience through a focus on UX and CX design

Charlotte Munro

Global Product Marketing Lead
Booking.com

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