Transformational AI

Chairpersons welcome and opening remarks.

Generative AI has become one of the most exciting and rapidly growing areas of machine learning. As the demand for more sophisticated models increases, it is becoming increasingly important to develop robust and scalable platforms for training and deploying these models. In this session, we will explore various strategies for scaling ML platforms to support foundation models, including distributed training techniques like model parallelism, cloud based solution and model compression techniques. I will also discuss the challenges and limitations of these approaches, as well as best practices for implementing them in real-world scenarios.

Data teams are constantly under increasing pressure to scale the amount of data and  insights they provide to the business. Sadly, DataOps tooling has been lagging, forcing people to perform repetitive tasks that are necessary, but not the most value additive. In this session, we will discuss how we can apply AI to automate many aspects of DataOps, allowing data teams to focus on the things that they are uniquely capable of doing.

This panel will cover how brands, media and data providers come together to offer consumers the upside from personalization. From simple benefits like surfacing products that fit within consumers’ tastes and values, to providing personalized deals and offers that match their purchasing preferences. Finally, how providers use these insights to enable retailers to create an optimized in-store experience for the consumers that shop there. 

Live streamed presentation 

• AI enabled immersive experiences, what do these look like?   
• Personalisation – how to capitalise on this key feature. 
• Discussing the importance of consistency, reliability, and ease of use for customer retention. 
• Combining AI and other disruptive technologies to create new services e.g. data for hyper-personalization and ML within the Metaverse. 

If Information is the soul of your organization, are you in touch with it?  Ultimately, companies survive and thrive on their knowledge literacy. Whether you know it or not, there is an information gap in your organization. Leveraging an Answer Engine℠ with Generative AI closes that gap and will help productivity, time-to-market and competitive advantage.

• Current state of Digital platform Journey.
• Evangelize why it’s critical for gaming companies need continuous improvement in Tech strategy space to adopt ever changing Disruptive trend in Tech and Social media circle.

• See a demo of Max, an AI assistant that automates advanced analytics, visualizes data, and generates insightful data stories from your enterprise data.
• Now business users can tap into advanced diagnostic, predictive, and prescriptive analytics in an easy, secure, and governed way.
• Max can help organizations optimize KPIs, make data-driven decisions, and gain a competitive advantage.

Many organizations are seeking to extract greater value from their edge data via artificial intelligence (AI). Unfortunately, many myths exist about how to get edge AI into production. This presentation reviews these myths versus the practical steps necessary to successfully operationalize edge AI.

This presentation explores the trade-offs between large and small self-hosted Language Learning Models (LLMs) in terms of their performance, resource requirements, and operational costs. We aim to equip attendees with a nuanced understanding that will inform their decisions about the adoption and usage of these models in various artificial intelligence applications.

• How the group behind premium spirit brands like Jameson, Jefferson or Absolut applies the power of AI to its business.
• Deed-dive in a concrete use case, with D-Star, an AI powered app for sales teams.
• How tech and business experts work hand in hand.

Live streamed presentation