Day 1 AM Sessions
9:00 am CDT
From Sensors to Insights at the Edge: Applying AI to IoT Data
Applying the power of IoT and AI lets organizations gain valuable insights from a universe of physical assets, from vehicles to facilities and systems. Learn how to harness IoT data to deliver operational and predictive maintenance insights using AI at the Edge.
Take a fast-paced journey that follows IoT sensor data from generation, edge gateways and analytics, encryption, IBM Cloud, Watson IoT, Node-RED processing, cloud storage, Watson Studio, Apache Spark analysis in Jupyter notebooks, PixieDust visualization, machine learning algorithms and deployment of the models for edge prediction.
9:45 am CDT
Sorry, Dave – I’m Unable to Turn on Your Toaster
Tobin Richardson - President and CEO • Zigbee Alliance
For the IoT movement, consumers validated and embraced voice control for managing ‘things’ around them. Manufacturers/influencers reached across competitive boundaries to work and innovate from common ground, common standards, and a common language. Now, devices will connect once installed and ‘just work.’ Innovations – such as Frustration Free Setup and AI – are fueling satisfaction and intrigue. It took decades, but simplicity and choice finally prevailed.
Yet consumers burned by bad experiences still believe having a smart home is “too complicated,” according to research by Ovum.
Zigbee Alliance CEO and President Tobin Richardson will pull back the curtains and share a glimpse into the inner workings of the next version of the smart home. Its orchestration is already underway by visionaries and innovators (Amazon, Comcast, IKEA, Signify, Somfy, etc. – more to be named soon) as they diligently work through industry channels to drive trust, value and advancements. The IoT isn’t an easy-to-build market – but through continued commitment to working together, we’re taking things ‘next-level’ in 2020 to usher us all into a wondrous intelligent future.
10:30 am CDT
Edge Compute - What's Behind The Hype?
Mirko Graebel - Senior Manager • Cisco IoT
In this session you will learn where the concept of Edge Compute originates from (spoiler alert: it’s not new) and the main motivation behind it. You will also learn about the main features of Edge Compute and how they enable Industrial IoT use-cases. Lastly you’ll get a sneak peek at what Cisco is doing to foster the adoption of Edge Compute in their Industrial IoT portfolio.
11:00 am CDT
Standards Essential Patents & the Internet of Things: Key Perspectives
Brian Scarpelli - Senior Global Policy Counsel • ACT | The App Association
Today, technical standards for interoperability and innovation represent key protocols (Ethernet, WiFi, LTE, etc.) that ensure compatibility and to promote competition. Moving forward these technical standards will underlie the development of an increasingly seamlessly internet-connected Internet of Things. As standards are developed, patented technologies are often contributed to the effort. “Standards essential patents” (SEPs) are patents covering technology implemented into a technical standard to the degree that an implementer of the technical standard must use the patent. Understanding SEP-related legal and policy issues is important to any organization that creates technology or provides products and services related to technical standard. Join this session to learn about, and engage on, SEP licensing negotiation tactics, perspectives on IP enforcement, emerging legal and policy developments across key venues, and the ultimate impact on IoT technology developers.
11:30 am CDT
Introduction to the Data Distribution Service
Nina Tucker - Co-Founder and VP of Client Services • Twin Oaks Computing
This session is a technical presentation on DDS 101. The Data Distribution Service (DDS) from the Object Management Group (OMG) is a data connectivity framework becoming standardized in a wide range of industries and military systems. From autonomous vehicles and embedded medical devices to electrical grids and intelligence and weapon systems, DDS is found in a growing number of architecture standards and government contracts.
12:00 pm CDT
Day 1 PM Sessions
1:00 pm CDT
Scott Austin, ESVP and Head of Country Americas • Everledger
John DiPalo, Chief Strategy Officer • ACSIS, Inc.
Travis Wayne, Product Manager • Teklynx International
Blockchain enables companies to record every event or transaction within a supply chain. This information then can be shared in a secure, transparent and efficient manner. So what is implementing a blockchain system like? AIM has put together an expert panel that can answer that by sharing their experiences and challenges in utilizing blockchain applications with AIDC technologies, such as IoT and RFID; and how it improved the traceability and reliability of information.
1:45 pm CDT
Artificial Intelligence: From a Buzzword to an Invaluable Manufacturing Component
Daniel Wittkowsky - System Architect • MPDV USA, Inc.
Artificial intelligence (AI) has matured from a buzzword to tangible applications. It has arrived with full force in the world of manufacturing execution. In our talk, we will clarify current terminology in this field, including concrete examples where AI can be used in a valuable way to increase production efficiency. A prominent example is predictive apps that determine the quality of a workpiece or batch during production based on data from multiple smart iIoT sensors. All of that also requires proper modeling of the AI kernel; otherwise, it will not be possible to correlate historical data with current input to forecast results.
We will end our talk with an overview of how complete feedback loops become established in state-of-the-art production. To do this efficiently, existing IT/OT-systems are enhanced by new technology like AI. This addresses all parts of the feedback loop, beginning with the planning and scheduling of the operations. Reinforced learning algorithms can be drastically more efficient than classical heuristic planning in certain use cases. Subsequent execution and monitoring can be improved by predictive apps like predictive quality. During and after execution, advanced analytics allow the production run to be analyzed and compared to historical data. Finally, predictive algorithms help to draw conclusions from the analytics and influence the next planning cycles.
2:15 pm CDT
Gaining a Competitive Edge in IoT with Machine Learning
Murali Kashaboina - Founder and Chief Data Scientist • Entrigna, Inc.
Companies are realizing that in order to maintain a competitive edge they need to derive insights from sensors and smart device data. However, many IoT solutions are doing simple tasks like predicting if a part will break. This is a great start but real-time solutions that incorporate machine learning are what will set a solution apart and lead to a competitive edge. In this presentation, you will learn about the different machine learning components and examples of how businesses could use each component to make a custom IoT solution that will lead to more accurate customer insights and increases revenues.
2:45 pm CDT
Overview of the Hardware Development Process for IoT Devices
Saj Patel - CEO and Co-Founder • Optimal Design
Hardware design differs greatly from software development. At a fundamental level, the design and engineering process has fixed timelines for activities such as industrial design, packaging engineering, RF design, testing/validation, tooling and production ramp. These activities have to generally be completed in a linear “waterfall” fashion, which is quite different than the agile method for software. The purpose of the presentation is to provide those in the IoT industry an overview of the process, challenges, and expected milestone outcomes during hardware development. A key focus will be on presenting a process that minimized costs and maximizes outcomes. In order to design great hardware, we will highlight specific guidelines that need to be adhered to throughout the process.
This presentation will review the eight phases of hardware development in detail. In addition to the development process, data security, weatherproof/rugged design and long term reliability are key items need to be kept in mind and will be covered as a part of this talk.
3:15 pm CDT
Building an Edge Device with Open Source Hardware: From Data Collection to Deployment
Sai Yamanoor - IoT Applications Engineer • Praxair
Srihari Yamanoor - President • DesignAbly
With the arrival of powerful microcontrollers and software toolsets, it is possible to run a neural network on a microcontroller. This provides a lot of opportunities in applications like image processing, keyword detection etc.
Edge Computing enables recurring costs like cellular data charges, provide alternatives when there is poor connectivity or react immediately to a critical sensor input and avoid loss of productivity, identify anomalies (e.g.: leak detection) in data streams etc. In this talk, we will demonstrate the different hardware and software toolsets available to build an edge device and walk the audience through the different steps involved in building an edge device. We will also talk about the challenges involved in building and testing an edge device.
Day 1 Concludes