Come to our Happy Hour at 4pm!

This summit aims to equip the engineering community in companies that produce devices with the knowledge and best practices to utilize AI and ML in their processes effectively. It will focus on how to use engineering data, machine learning, and AI to drive innovation in the R&D process of manufacturing and the computing infrastructure that leading companies are using to accomplish this.

On-Site Event Agenda

8:00 - 8:30 AM: Registration

8:30 - 8:45 AM: Welcome & Opening Remarks

8:45 - 9:30 AM:  Sheldon Williamson, CTO, Testforce Systems, Inc.
AI-enabled Battery Management Systems for E-mobility and Electrified Transport Systems

The proliferation of devices with a battery, especially E-mobility and transportation, necessitates efficient and cost-effective lithium-ion (Li-ion) battery management systems. Enhancing the life of Lithium-ion (Li-ion) battery packs has become a hot topic. This presentation will explore strategies to improve battery life and performance, focusing on cell voltage, balancing, and extreme fast charging techniques. A novel closed-loop control method will be introduced utilizing instantaneous cell voltage and temperature rise, offering a promising approach to optimize battery charging efficiency. Additionally, the integration of machine learning, IoT, and digital twin technologies into Li-ion BMS will be discussed, highlighting their potential to revolutionize battery monitoring and control. This session will explore practical examples, tools, and techniques and how it applies to industry standards.

9:35 - 10:30 AM:  Barry Hutt, CRO, Viviota
Engineering the Future:  How Machine Learning and AI are Transforming R&D

As the pace of innovation quickens, engineering teams are under increasing pressure to streamline their research and development (R&D) processes. While the potential of machine learning (ML) and artificial intelligence (AI) is well-recognized in sales and marketing, many companies are just beginning to explore their application in their R&D processes.

This session will delve into how leading companies are successfully integrating ML/AI into their engineering workflows. We’ll discuss concrete strategies, common challenges, and proven best practices that help teams balance the demands of delivering current products with the need to drive long-term innovation. Discover how your team can bridge the gap and harness the transformative power of ML/AI to accelerate R&D and stay ahead of the curve.

10:30 - 11:00 AM: Break

11:00  - 11:45 PM: Alejandro Barreto, Chief Software Engineer, NI CTO Office, Emerson
The Future of Test is Intelligent 

Come learn how AI and ML will transform how products are tested and brought to market, especially as product complexity and competitive pressures increase. In this session, you'll see AI fundamentals broken down in simple terms by a seasoned expert, learn how to apply AI to common test and measurement problems, and gain real-world insights on integrating AI into your own products and services.

11:45 - 1:00 PM: Lunch

1:15 - 2:00 PM: Jaideep Joshi, Principal Solutions Architect AI/ML Ops at HPE
Accelerating Generative AI Workflows: HPE and NVIDIA Full Stack Solution

This session will explore how HPE and NVIDIA have partnered to deliver comprehensive solutions that significantly expedite the development and deployment of generative AI applications. By combining HPE's high-performance computing infrastructure with NVIDIA's advanced GPUs and AI software libraries, we provide engineers with the necessary tools to efficiently train and deploy large language models and other generative AI models.

Attendees will learn about the benefits of our pre-optimized frameworks and libraries, which streamline the development process and enable engineers to leverage advanced features such as distributed training, mixed precision computation, and efficient model parallelism. These capabilities empower engineers to tackle more ambitious AI projects, explore cutting-edge techniques, and bring innovative generative AI solutions to market faster.

2:00 - 2:45 PM: Allen Jones, Cloud Advisory & Transformation Practice at HPE, & Barry Hutt, Co-founder & CRO, Viviota
Streamlining Success:  Simplifying AI and ML for Impactful Innovation

In today’s fast-paced tech world, incorporating machine learning (ML) and artificial intelligence (AI) can feel overwhelming. With countless tools and approaches, how can organizations maintain agility and focus? Join Al Jones and Barry Hutt as they discuss strategies for making AI/ML more accessible and actionable. This session will simplify processes across various domains, empowering teams to become more nimble while achieving the right balance of innovation and results. Discover practical techniques to streamline your AI/ML initiatives and drive impactful outcomes in a complex environment.

2:45  - 3:30 PM:  Interactive Workshops and areas of Interest Breakout Sessions

3:30 - 5:00 PM:  Happy Hour 

American Digital

American Digital is a Midwest-based Enterprise IT solutions partner and managed services provider. We're a client-first company with a collaborative and consultative approach that helps clients meet business objectives, improve efficiencies, and cut costs by transforming their IT strategy and environment.

With 40 years of experience and strong partnerships with leading technology innovators like HPE, we design tailor-made solutions to address our clients' unique needs and requirements and position them for long-term success.

Testforce

Testforce, is your local technical distributor of test and measurement equipment from the most trusted manufacturers; NI, Tektronix and more. Our singular focus is to be your expert in test. Armed with years of experience and knowledge in the key technologies driving markets such as energy, academics, electrification, aerospace & defense, wireless connectivity, and more, we have built a longstanding reputation for helping customers address the mounting challenges of test and measurement.

Website: https://us.testforce.com/

Viviota

Accelerate design, testing, and production of life-changing products and technologies by empowering engineers and scientists to unlock hidden insights within "Big Analogue Data".