All you need to know about Industrial IoT Tracks on July 1, 2020 at IIoT World Days

Carolina June 9, 2020 Industrial IoT

July 1, 9:00 - 9:55 AM ET
Demystifying IIoT implementation

There are a number of myths, pitfalls, obstacles and challenges to getting started with an Industrial IoT implementation.
Our panellists are bringing objection handling to the forefront of their discussion, including:

Identifying obstacles to getting started with IoT
Improving diversity and inclusion in this space
Navigating cultural differences when introducing a new technology to a new region

Expect this to be a broad ranging discussion, covering a range of topics and new technologies.

See more info about the speakers here.

Register to this track by June 10th and get your free ticket!

June 30, 10:00 AM - 10:55 AM ET
Removing Barriers to Digital Transformation

Join this panel of industrial automation experts to learn how open, standards-based, industrial automation is poised to unleash a wave of unbounded innovation. By removing barriers to digital transformation, businesses will be free to integrate best-of-breed components into designed for purpose operational models that easily adapt to constantly changing needs—today and well into the future.

Check the speakers here.

July 1, 11:30 AM - 1:05 PM ET
Using Open Source Technology to Manage IOT/Edge Solutions

Why Open Source is key for innovation in Industrial IoT

The industrial world has a long history of modernizing their process controls in order to keep production running efficiently and safely while minimizing downtime. Yet many are locked in established data historian solutions that are costly and lack the methods needed to provide innovation and interoperability. In contrast, open source software – which is built on the foundation of community – inherently provides diverse design perspectives not available from a single software vendor. Join this webinar with Craig Hobbs of InfluxData as he breaks the old stigma that open source was the cheap alternative to proprietary software. In this webinar we will examine what the existing solutions lack and review a few open source projects that should be considered for future success for operators.

Using Open Source Technology to Manage IOT/Edge Solutions

Open source technology is changing the edge application landscape and it can help change edge management too. In this session, come learn how open source technology is offering solutions to deploy, orchestrate and manage your edge that are:

More cost effective through community collaboration, friendlier licensing, faster innovation, and multi-vendor support
Address the unique needs of the edge as they are developed by edge experts
Fashioned by an ecosystem gravitating toward best of breed solutions that benefit all.

Understand Edge Machine Learning Ops – Life-cycle Management of ML models running at the Edge

In this presentation I will explain how to:

Simplify collection and preparation of data to deliver results with your Machine Learning model
Test and train Machine Learning models for edge deployments
Deploy and maintain your Machine Learning model on one or many devices

Uniting the Edge for Tomorrow’s Demands

In this talk, attendees will learn:

Edge use cases being addressed to satisfy the industry needs
Collaboration between the LF Edge Projects and scope of each project
How to engage and contribute to each project

The benefits include learning more about the IoT and edge fragmentation, the united edge and the role LF Edge plays.

Check the speakers here.

July 1, 1:10 PM - 2:25 PM ET
How to Drive Innovation with Industrial IoT and 5G

Presentations in this track:

How to Drive Innovation with IoT and 5G

The previous decade saw incredible advances in technology. Cloud computing, smartphones, and broadband connectivity are a few examples of technologies that started just a few years ago, and yet, they are now part of the standard toolset we use to build our products today.

This new decade will see even faster innovation, fueled by the widespread adoption of the Internet of Things (IoT), and 5G. As Product, Technology, and Innovation Leaders, it’s time to stop talking about “the future” and start focusing on the next generation of innovations we can build and profit from today.

In this talk, Daniel Elizalde will share practical insights on what it takes to build commercial solutions using these cutting-edge technologies. You will learn useful principles that go beyond the technology itself and give you a holistic perspective on what it takes to succeed in the era of IoT and 5G.

Accelerate your adoption of IIoT

Competitive pressures and market demands are forcing discreet and process manufacturers to accelerate their adoption of IIoT. There is an urgent need to gain insights for optimizing their operations from equipment, process, and quality standpoints. These insights can be gained by blending operational telemetry and data with enterprise data, and providing advanced analytics for monitoring, prediction, and visualization. These insights contribute to manufacturers’ bottom lines in the form of increased utilization and line throughput, increased yield and reduced scrap/rework, and higher quality products delivered to customers.

When failure is not an option: A low risk approach to smart manufacturing innovation

Industrial leaders are under increasing pressure to adopt industrial IoT and Industry4.0 solutions in order to compete in a connected world. However, most digital initiatives do not live up to expectations. Common causes include introducing new technology to solve what are primarily people problems, as well conflicts between innovation groups with a “try new things and fail fast” mindset and operations managers with strict KPIs and production goals who are unwilling to put their existing processes at risk (a totally reasonable reaction). By taking an iterative, business-focused, and people-first approach, sustainable change can be made in both your operations and organization which will drive a lasting competitive advantage. More about the speakers here.

July 1, 3:00 PM - 3:55 PM ET
AR technology trends & applications for industrial

At the end of 2019, many companies and media outlets predicted that AR would dominate the world in the early 2020’s. AR offers the promise of turning the real world into a clickable, searchable, data-infused experience.

Our expert panellists will share:

How AR can help with industrial IoT
The value of IoT meeting XR and Spatial Computing
Examples of industrial companies accessing data on demand through AR
Four AR technology trends to keep an eye on – there’s movement coming!

More about the speakers here.

July 1, 2:30 PM - 4:00 PM ET
AI and IIoT in Discrete Manufacturing

Presentations in this track:

IoT – FROM BUZZWORD TO BUSINESS CASE

How to accurately calculate the ROI of IoT initiatives Everybody is talking about IoT – a buzzword supposed to magically solve all challenges inherent in digital transformation. With such projections, company leaders feel the urge to invest in IoT but are often held back by a lack of accurate and credible calculations for the expected return on potential initiatives. According to our Harvard Business Review pulse survey, 80% to 90% of respondents can’t accurately measure ROIs for their initiatives. Not to lose traction against their competitors, some companies even start initiatives or projects without a proper business case at hand. Unsurprisingly, failure rates of digital transformation initiatives lie in the range of 60% to 85%. The good news is that most of the elite group that do measure returns are seeing relatively quick paybacks.

This presentation focuses on the principles of how to accurately calculate the ROI for IoT initiatives. IoT as an enabler for digital transformation can create value for private and public organizations alike when optimizing processes or generating new business models out of data.

High Value Assets in the field: How to efficiently manage and update a large and heterogeneous landscape of devices

In the last years, we have seen a huge IoT and connectivity hype – only few use cases proved to provide value to customers. One of the few very successful use cases is the Remote and Software Update Management of engines and high value assets. Device Manufacturers and customers are facing a heterogeneous, globally distributed device landscape that leads to high management and maintenance costs in the field. To reduce management and maintenance costs customers need a solution for remote configuration and management for their devices. The solution and architecture needs to be easy-to-use but also cover all relevant technological and security requirements. In this webinar, we will talk about the challenges and the approach how to manage and update a large and heterogeneous asset landscape, especially in the mobility and industrial assets domain where Bosch has years of experience.

Harnessing Smart Manufacturing Technologies To Maximise Operational Performance

Current state of Industrial IoT
Real-world applications of AI for manufacturers
Global manufacturing success stories
How to execute for maximum impact

IoT and AI at the Edge: Artificial Intelligence and IoT Sensors for Aerospace Industry

The aviation industry is only just beginning with AI and IoT but usage is already offering many safety and efficiency benefits. IoT sensors located throughout an aircraft can benefit everything from flight maintenance, fuel efficiency, flight health checks and airport management. This presentation will discuss two unique uses of IoT in the aviation industry: structural health monitoring and temperature controls. Join this session if you wish to hear how your next flight may be enhanced by the power of interconnectivity. More about the speakers here.

July 1, 4:15 PM - 5:10 PM ET
Robot coworkers: How AI impacts the future of work

What happens when technology advancements threaten to automate people’s jobs?
That question is on the minds of many as research and development in artificial intelligence and machine learning rapidly advances.

Recently ASU received a million dollar NSF Convergence Accelerator Grant to create autonomous systems that are not only more adaptable and efficient in manufacturing environments, but also have built-in adaptive tutoring systems that will cooperate with factory workers and retrain them to use AI technology so they are not displaced from their jobs. This multidisciplinary project is focused on using AI to augment the workplace rather than replace workers.