2024 Agenda

The demo allows the audience to interact with AKOOL's streaming avatars, which use both speech and text for communication. Powered by large language models, these avatars engage with attendees in multiple languages through voice and text, delivering a highly interactive and immersive experience.

This demo will showcase computer vision point-and-click tools for model development, including built-in human-in-the-loop neural architecture search (NAS) and point-and-click tools that make deployment for real-time applications more accessible than ever. We will also showcase how to build computer vision flows to tackle a variety of prediction tasks, including DICOM image classification, multi-task predictions, and object detection. Finally, we'll deploy the model to inference video data to showcase real-time data processing and examine model performance.

Step into the forefront of innovation at our Healthcare Speed Networking session. This exclusive opportunity is tailored for healthcare professionals eager to explore AI-powered advancements in diagnostics, patient care, hospital operations, and more.

Engage in fast-paced, four-minute conversations with like-minded folks looking for solutions designed to address the unique challenges of the healthcare industry.

Spaces are limited to 20 attendees, and only professionals within the healthcare sector will be permitted to participate. Secure your spot using the event app. 

The demonstrations include two Artemis Mission applications visualizing the Lunar South Pole.

DUST - Digital Lunar Exploration Sites Unreal Simulation Tool: The Digital Lunar Exploration Sites Unreal Simulation Tool (DUST), a 3D visualization application of the Lunar South Pole can be used as an early reference to enable candidate vendors to perform initial studies of the lunar terrain and lighting conditions. Visitors will be able to see the interesting lighting conditions and terrain astronauts will experience when landing and exploring the moon. A version is available to the public for download on the NASA website.

Public Affairs Office (PAO) Lunar Rover Sim: The second application is a lunar rover simulation; visitors will be able to use a game pad to drive the rover around a particular area of the lunar south pole.

See how AI is transforming today's generic skincare retail process into a highly personalized, consumer-first buying experience. Revea's technology combines AI, biology, chemistry, and imaging diagnostics to personalize the buying process in store and at-home.

Data and AI are intrinsically linked, with AI algorithms processing large datasets to identify patterns and generate insights. As generative AI advances, the demand for high-quality, diverse data has become critical. Traditional data procurement methods are reaching their limits, necessitating innovative approaches: data spaces.

These collaborative models offer a solution by enabling data sharing under three key conditions: data sovereignty, trust, and mutual benefit. By providing a framework that respects individual and organizational data rights, ensures transparency, and creates value beyond monetary exchange, data spaces can unlock new data sources for AI development. Research indicates that current data collection practices will soon exhaust available sources, making collaborative data sharing models not just beneficial, but urgent for the continued advancement of AI technologies.

Reimagine the future of retail at our Retail Speed Networking session. Exclusively for retail professionals, this dynamic event creates a platform for meaningful discussions and idea-sharing with others who understand the unique dynamics of your industry.

With just 20 seats available, participants will enjoy a fast-paced format to build connections, exchange insights, and uncover fresh perspectives.

Pre-registration is essential, and only those working in the retail sector can join. Register via the event app. 

Learn from Chaz Giles and Troels Marstrand in "Why Companies Fail at AI: 7 Lessons from Building a Full-Stack AI Company"

Gain insights from Chaz Giles and Troels Marstrand in their discussion on the challenges of building an AI company, featuring lessons learned from their work with an AI skincare company.

See the power of enterprise AI applied to time series and tabular data resulting in powerful insights and planning decisions. The Ikigai demo shows how probabilistic forecasting uncovers changepoints, anomalies, errors, cohorts, and similarities, and then intelligently recombines them to enable decision makers with powerful scenarios and what-if capabilities. We will also demonstrate how auto best model selection integrates historical data and external factors—such as weather, economic indicators etc. — then analyzes and extracts meaningful insights from unified datasets. Attendees will see how this comprehensive approach enables business to transform complex data into accurate forecasts, empowering organizations to make smarter, more informed business decisions.

Introducing GMI Cloud's Cluster Engine – where bare-metal control meets effortless Kubernetes orchestration. Whether you're a Bitcoin miner, resource aggregator, or cloud provider, Cluster Engine empowers you to scale and manage your workloads with confidence.

Our platform ensures isolated Kubernetes containers, eliminating conflicts and enhancing efficiency. With pre-packaged libraries, AI applications are deployed seamlessly, complete with pre-configured binaries and drivers. Resource allocation is optimized for peak performance, ensuring you get the most out of your GPU investments.

High availability is built in, with automatic workload migration to ensure continuous service even when individual nodes fail. Easily manage multiple clusters across global data centers with a single interface, optimizing proximity and performance.

Cluster Engine makes it simple to deploy, scale, and manage applications across any geographic region, allowing your business to thrive with minimal complexity and maximum results.