Personalization is a key factor in creating a meaningful digital customer journey experience. This session will explore how attendees can use AI-driven techniques to improve search and recommendation by creating personalized experience that resonates with their target audience and leads to increased ecommerce revenue.

·       Using AI in real time to analyse customer insights such as user behaviour to optimize product recommendations and improve compatibility

·       Finetuning & deploying in-house LLMs at low cost

Shreesha Jagadeesh

Associate Director of Applied Machine Learning
Best Buy

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The excitement surrounding GenAI is reminiscent of the early days of the internet, with the potential to disrupt industries and change the way we work. To make Generative AI a reality, you need to architect your infrastructure and advance your data estate to harness its global possibilities. This foundation is essential for today’s chatbots and summarization and tomorrow’s applications with video, audio, verbal, and other complex data forms. 

The key question is, "How can you become 'GenAI Ready' and stay ahead?" Join our session to explore the imperatives and principles for implementing Generative AI in CX/EX, marketing/sales, software engineering, product R&D, and other industry specific solutions-

• Essential GenAI foundations
• Design principles for your GenAI infrastructure
• Governance and responsible AI guidelines
• Enhancing GenAI with domain-specific knowledge
• Scaling GenAI across your organization
• Prominent use cases like Enterprise Search

Join us to explore these dimensions and unlock GenAI's full potential. Don't miss this chance to reshape your future and stay ahead in this transformative era.

Sponsored by: Impetus

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Ravishankar Rao Vallabhajosyula

Senior Director Data Science
Impetus

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In the realm of modern biology and artificial intelligence, unprecedented advancements allow us to delve into vast repositories of molecular and clinical data from patients. This includes omics data from next-generation sequencing assays, treatment responses, and other clinically significant measurements. Despite these remarkable strides, we still lack sufficient data to unravel the complexities of disease biology and accurately predict treatment responses, this talk will explore innovative approaches to accelerate translational medicine research by harnessing the potential of generative AI through:

·       Presenting a specific example based on the transformer architecture, demonstrate how we can model high-dimensional patient data and generate synthetic instances of patients with modified characteristics

·       Exploring the promise in driving fresh insights into the underlying biology of diseases

·       Discussing limitations and caveats associated with generative AI models

·       Highlighting new opportunities to construct improved models that enrich our understanding of diseases.

Etai Jacob

Senior Director, Head of Data Science and AI, Early Oncology
AstraZeneca

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We all understand the power of generative AI & we are still a long way from large scale deployment becoming mainstream, but there is no doubt that every business should be utilizing it in some capacity. Questions arise however, when we delve into the logistics: which capacity and how should we practically go about this without any problems arising. When you are deploying generative AI into production on a large-scale within an enterprise that has real world implications, you need to be exact and you need to prove that it’s the right strategy for your business.

·       What challenges specifically do we want to be addressed and how can we realistically utilize generative AI for these?

·       What internal changes do we need to implement? Who will be doing this?

·       How can we mitigate any problems arising with large-scale deployment?

·       How can we balance cautiousness and innovation?

·       How do we decide on business metrics we want to use to measure it?

·       How to assess all the smart, realistic, ethical, political and economic considerations when you have a real world impact?

Miku Jha

Director of AI/ML
Google Cloud

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Steffen Tjerrild

Co-Founder, COO & CFO
Synthesia

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Anna Jarman

Emerging Technology & Innovation
Walmart

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Fausto will provide practical insights on how implementing Generative AI solutions will: save costs, accelerate cycle times to market, enable you to also leverage qualitative metrics, generate novel, statistically meaningful insights, produce new revenue streams

Expect actionable insights on how to integrate AI into any corporation, through:

·       Discussing strategy creation, timelines, workflows and general processes essential to implementing AI

·       Explaining how organizations can overcome various implementation challenges and cultural changes

·       Delving into how you can best streamline the MVP processes and then scale them up to full production

Fausto Artico

Global Head of Innovation and Data Science
GSK

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As artificial intelligence (AI) continues to reshape industries and drive transformative advancements, the need for accelerated AI innovation has become paramount. Organizations across the globe are seeking novel ways to leverage AI technologies to gain a competitive edge, optimize processes, and deliver enhanced customer experiences. However, as AI applications grow in complexity and scale, so do the challenges related to scalability and security.

This talk aims to address the critical aspects of accelerating Enterprise AI innovation and will delve into the following key topics:

• Harnessing the Power of PyTorch and PyTorch Lightning: We will explore the benefits of modern AI frameworks, such as PyTorch, PyTorch Lightning and Fabric and the techniques that facilitate rapid development and deployment of AI solutions
• Scalability: The exponential growth of data and increasing demands for AI applications necessitate scalable architectures. We will discuss strategies for designing AI systems that can effortlessly handle massive datasets and adapt to the evolving requirements of AI-driven applications
• Security Considerations in AI: The integration of AI technologies introduces new security risks. This talk will highlight best practices for safeguarding AI systems against potential threats, ensuring data privacy, and maintaining compliance.
• Collaborative Ecosystems for Innovation: Accelerating AI innovation requires collaboration between diverse stakeholders, including researchers, developers, policymakers, and businesses. We will explore successful collaborative models that foster innovation

Sponsored by: Lightning AI

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Priya Shivakumar

VP of Product
Lightning AI

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Join this session to discover why our current techniques using ChatGPT are holding us back, and how to retrain our brains to harness the power of generative AI. Unlock valuable insights and takeaways to implement immediately for you, your colleagues and your business, including:

·       Break through unproductive patterns in using ChatGPT

·       Turn ChatGPT into a strategic partner by moving beyond the command-and-response model.

·       Transform how you learn absolutely everything with ChatGPT

Conor Grennan

Dean of Students & Head of Generative AI
NYU Stern School of Business

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With the rapid development of AI technology, it is increasingly important for businesses to assemble a skilled team to develop, deploy, and maintain generative AI models. In this talk, we will discuss practical steps that businesses can take to build their AI team and ensure success.

·       Identify expertise in AI techniques such as deep learning, machine learning, and data science and hiring or training professionals with experience in generative AI models

·       Internal strategy required to assemble a new team, including pitching, validating, convincing, de-mystifiying

·       Difference in process and concerns when starting up a team in this space for a larger enterprise vs smaller scale – things to consider

·       Develop a culture of continuous learning and knowledge sharing within the team

Mohamad Houri

Director of Innovation
Lufthansa Airplus International

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Generative AI is revolutionizing the creative industry process by introducing a whole new level of innovation. In this session a panel of innovators, architects, designers and artists will outline what this means for the creative process, with reference to:

• Speeding up the creative process by enabling creatives to quickly create and optimise designs

• Enhancing the diversity of the creative process by allowing for the exploration of different styles and formats

• Enabling collaboration between artists, designers, engineers, and other creatives

• Predictions for the future of the creative industries, responsibility, jobs, etc.

Máuhan Zonoozy

Head of Innovation
Spotify

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Corbett Drummey

Vice President, Brand Collaboration
Lightricks

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Talk Details to be Announced

Abbas Arslan

Senior Director Marketing
Coca-Cola

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Dive into how Adore Me has built a series of personalized communications across the customer journey leveraging generative AI. We've created stylist notes that highlight product features, functionality, review data & more that engage customers in different ways.

• "When and when not to GenAI": A key takeaway is understand how to evaluate content structures to understand when and where to leverage Generative AI vs. algorithms vs. static content to create a cohesive, fun story for customers.
• "The Workflow is Everything": A specific focus on how we've incorporated this into various workflows, and how to balance safety/quality and where and in what capacity to keep humans in the loop.
• " The Future of Retail": Most exciting is how this ties into our larger vision of the transformation of retail driven into a perfectly personalized, tailored, entertaining one driven by generative AI.

Ranjan Roy

VP of Strategy
Adore Me

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With many organizations racing to get ahead of the transformative power of Generative AI, Leaders are faced with the challenge of moving quickly and at pace with the continued evolution of this technology, while taking a more measured approach towards enabling meaningful and sustainable deployments. In this session, Noelle will delve into how organizations can design a strategic blueprint to transform their operating model and unlock their ability to capture the transformational value promised with Generative AI. Gain practical insights on:

• Identifying differentiated, high value opportunities that ground an organization’s strategy for Generative AI implementation
• Leveraging experimentation to swiftly surface learnings needed to clear the path for deployments at scale
• Translating strategy into a practical blueprint for operating model transformation 

Noelle Roque

Director of Artificial Intelligence Strategy
Manulife

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Time to ask your burning questions and have in-depth discussion with people in the same position as you. This open panel is for sharing insight and advice on practical steps, addressing the teething problems and challenges faced. Aiming to address concerns like how to find your direction, upskilling vs rehiring, how to make sure you will stay ahead and relevant, how to do this risk-free, and any other questions you might have about realistic scaling up across the business. 

Sadananda Narayanappa

LM Fellow/Chief data scientist LM Space, IT&DE
Lockheed Martin Space

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Explore the potential of generative AI and digital twins in the telecom industry and learn how these technologies can be applied to build more accurate and efficient models. Discover how generative AI can bring a transformation in our lives by establishing a cyber-physical continuum where machines and humans interact seamlessly through networks of the future. Understand how a digital twin of the real world may be created in future which would mirror the real-world scenarios and how it can influence the way we train models. This talk will delve into:

·- Evolution/ Taxonomy of Generative AI and its applications for Future Networks #6G

- Future Radio communication techniques using Generative AI and some specific benefits of using generative AI for massive data exchange, eg XR applications, transporting multiple sensory information( touch, smell, etc) through networks

- Using Generative AI to understand and optimize radio waveform parameters with low training data

- Establishing a man-machine continuum through massive radar like sensing in future networks

- Building a Digital Twin of the real world to model the physical properties of a large scale telecom environment whereby training of algorithms becomes safer and cost effective

Kaushik Dey

Head of Data Sciences and Quantum AI
Ericsson Research

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Discover how to overcome long-winded challenges in building a data-driven internal culture that promotes innovation and drives actionable insights, all while ensuring secure and controlled data management.

·       Embracing a data-driven internal culture from the ground up to drive innovation

·       Strategies for scaling and controlling data-driven initiatives for long-term success

·       Automating processes to improve efficiency and accelerate actionable insights

Stefanie Khan

Director of Business Intelligence & Advanced Analytics
UPS

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