Restarting Operations after a Shutdown

This webinar will present a detailed analysis of more than 200 IoT projects, including assessments of business benefit and key drivers of complexity.

Taking the solution characteristics used in the IIC’s Project Explorer (project analysis) tool as their starting point, Transforma Insights has analyzed over 200 IoT case studies to identify which projects are quickest to deploy and fastest to pay back together with associated business risk impact. The webinar will include summary results of these assessments and will also include analyses of IoT projects according to other defined solution characteristics, including the profile of field assets, connectivity requirements, back end complexity and end user vertical sector.

The presenters will also discuss the extent to which IoT technologies are deployed alongside other Digital Transformation (DX) technologies such as AI, Distributed Ledger and Edge Computing. This section will draw on analysis of an additional 400 case studies that span the entire of DX.

The presenters will also highlight how the IIC’s Project Explorer tool can be used by project managers to analyze the complexity of any planned project, and link to IIC assets that can support successful project execution.

Part 2 of a Special 2-part Series
Many of the use cases common in healthcare did not scale to accommodate the Covid-19 crisis. As world governments begin to look past the peak of the Coronavirus pandemic, stakeholders are pushing across industries to resume operations. As we prepare to reopen in this post-COVID world, what are the new rules of engagement for your healthcare system? Where do you start? What can other businesses learn from the experiences of healthcare systems? What critical role can IoT play in COVID-19 recovery?

Join us for an industry-led, round table discussion on the strategy, planning and preparation to be considered as health systems reopen for patient care. While healthcare organizations have scrambled to adapt to the COVID-19 crisis, the lessons learned can be applied across all industries as companies ramp up digital transformation capabilities in the post-Covid era.

Speakers include:
Sumita Yadav, Vice President, Cardiovascular and Orthopedic Service Lines at Catholic Health Services
Michael Godoy, Telemedicine and Scalable Therapeutics Program Director, UCSF Medical Center
Shawn Nason Founder, CEO & Eco-System Disruptor, MOFi
Zayna Khayat, Futures Strategist, SE Health

Artificial intelligence (AI) is rapidly progressing and has the potential to reduce mortality, morbidity, and healthcare costs by improving diagnostic accuracy and screening efficiency. Multiple recent studies have demonstrated the ability of AI algorithms to match, if not outperform, clinicians in the diagnosis of several diseases. It becomes clear that artificial intelligence will play an important role in the medicine of the future, and the use cases can come in different forms: from the use of AI as a diagnostic tool to the optimization of the internal management and logistics of a hospital. In this webinar, we will present the current state of artificial intelligence and review some healthcare applications. We will also try to showcase the current gaps that this technology has to overcome until we have successful deployment of AI in healthcare.

Marc Combalia, an Artificial Intelligence Research Project Engineer working at Hospital Clínic de Barcelona in close collaboration with AASA Inc., graduated in Telecommunications Science and Technology with an MSc in Telecommunications Engineering. His master thesis is titled “A Deep Learning Approach for Histological Image Classification” and had held several seminars on the topic of Deep Learning. He has a wide experience in research on computer vision and artificial intelligence, especially on the applications of artificial intelligence in the biomedical field with an emphasis on deep learning techniques.

Join our panel of industry leaders to discuss the effects of the COVID-19 crisis on our healthcare infrastructure, and the opportunities that were presented for IoT and advance technology solutions to help pave the way through future crisis.

As the pandemic swept the globe, healthcare professionals work to provide the best facilities to prevent infection and to save those who are already infected. However, even in the most developed countries, our infrastructure is weak, and we were unprepared for anything of this magnitude.

While most of the news on this front is scary, there is a bright spot: this unexpected disease forced disruption and innovation in unprecedented ways as industries were confronted with new ways of conducting business and caring for patients.

Join a round table of folks who have been front and center in the pandemic for a discussion of pre-Covid use cases, their challenges and lessons learned. While everyone has done a tremendous job given what was available, this crisis brought out many of the gaps that existed. With so many IoT and advance technology solutions in development, there is opportunity to radically improve the way we approach and solve societal challenges, and these technologies can help to pave the path through future crisis.

Speakers include:
•Anna Sort, Digital Health Entrepreneur (Moderator)
•Shawna Butler, RN MBA, Nurse Economist, Host, SEE YOU NOW Podcast
•Ruthy Acosta is a medical doctor who has been in Innovation for many years. She has also been in different projects during the COVID-19 crisis in Spain together with COVIDWarriors.
•Silvia Narejos is a medical family doctor working on a Clinical Trial for Hydroxychloroquine, in a team focused on "saving" nursing homes patients, among other initiatives during the COVID-19 crisis.
•Montse Guardia is an engineer who worked on the Covid crisis together with Andreu bringing the robots for COVID-19 testing.

A patient monitoring system typically consists hundreds, sometimes thousands of interconnected physiological acquisition devices (bedside monitors), real-time clinical viewers with command and control of the ecosystem (central stations), and event annunciation (sounding clinical and system alarms) to a plurality of locations, based on caregiver workflows. The DDS middleware’s data-centric, network-based state management is fundamental to the reliability, robustness and distributed operation of a system designed to make life-critical decisions and provide
clinical information for further care.

Join GE Healthcare Chief Engineer Matt Grubis who will discuss how DDS is addressing the data connectivity of a complex hospital patient monitoring system.

The COVID-19 pandemic is confronting every level of the World's economy with unprecedented challenges and impacts on industries and businesses. As of mid-April, data indicates that the global economy is expected to contract by 3%, while the US is shrinking by 6%, Europe by 7.5%, and growth in Asia is expected to stall at zero percent in 2020.

Studies also show that each industry is experiencing its own unique set of challenges that are threatening to undermine once-thriving businesses. This means dealing with low level of demand, liquidity, supply chain disruption, lockdown, complying with “New Normal”, capacity, inflexible production, out-of-date technology, cybersecurity, remote-operation, etc.

One of the industries that is taking on enormous pressure from COVID-19 is the Auto industry. OEMs have shuttered assembly plants throughout North America and Europe, and this has resulted in virtually all suppliers also ramping down production and furloughing workers. The demand side of the industry has been hit too; China production was down 50% during Q1, and North America production is expected to be down 50% in Q2.

This being said, the important question for all industry experts and executives is: how quickly can we expect the crisis to pass and for businesses and industries to start up and reach the same level of capacity utilization pre COVID-19? Will the economy have a V shape come back or will it be a U or even an L shape?

In this webinar, we will discuss the impact of COVID-19 across different industries and the risks ahead of them as they plan to reopen and aim for a comeback to a pre-crisis economy with the focus on Auto industry impact, status and path ahead.

Farid Bichareh is an industry expert and entrepreneur with over 20 years’ experience defining solutions/strategies for smart manufacturing, IoT/IIoT, digitalization and innovative wireless communicating Li-Fi. He has co-founded 5 businesses and served as a board member and top executive.

Businesses everywhere need to start planning now for restarting operations following a post COVID-19 shutdown. But what needs to be done and when? Join industry leaders from Deloitte, Airbus and Schneider Electric as they discuss lessons learned from China and other geographies who are taking rapid steps towards recovery and ramping up operations / administrative functions. Also, discover how IoT and other digital technologies can help restart efforts, and critical timelines. Session will include live Q&A.

Don’t miss this interactive panel discussion which will include:
- Helena Lisachuk, Deloitte IOT Global Leader (moderator)
- Dr. Juergen Sandau, Partner | Deloitte | Strategy & Operations
- Dr. Anes Hodzic, VP Digital Transformation | Head of Internet of Things, Airbus
- Kaipeng Zhang, Global Supply Chain China Senior Vice President, Schneider Electric

The COVID-19 pandemic is bringing many business activities to a near absolute halt. If you work in a product organization, activities that used to be routine such as a team meeting for a critical design review or sending a team of experts to walk the plant floor to investigate a product manufacturing quality problem are no longer possible.

Overnight, overly lean single-source supply chain strategies and hyper-speed agile product development practices exposed the fragility of many organizations’ product design and supply chain practices.

Will the coronavirus pandemic be a catalyst of innovation and drive organizations to invest in design collaboration and supply chain practices to minimize disruptions and improve operational resiliency? Or, perhaps, company leadership will be quick to forget the lessons of the coronavirus crisis and go back to pre-pandemic practices of leaning product lifecycle processes dangerously close to their breaking point?

Join Joe Barkai on April 23 at 11 AM EDT to discuss the lessons from the COVID-19 pandemic and the future of design collaboration in the post-COVID-19 era.

At an IOT Solutions World Congress panel discussion entitled “Embracing Digital Twin” this past October, we shared how to get started with digital twin, its adoption path benefits and challenges, and what to expect in the next five years.

By having a virtual model of physical assets, digital twin can be used to predict behaviors of the assets, prescribe actions, and design possible versions. Twins incorporate views across asset lifecycle, their relationships, and serves as a foundation for collaboration across engineering design, manufacturing, operation, maintenance, supply chain and logistics.

Join us for a virtual discussion as our expert panelists discuss how recent events makes it even more critical and present new opportunities to get started and gain benefits with digital twin.

Moderated by: Teresa Tung, Managing Director, Accenture Labs
Teresa Tung is a Managing Director at Accenture Labs responsible for Systems & Platforms R&D. Accenture’s most active inventor (170+ patents filed or granted), Teresa’s expertise covers Big Data, IoT, and robotics. Teresa holds a Ph.D. in Electrical Engineering Computer Science from UC Berkeley.

Panelist: K. Eric Harper, Senior Principal Scientist, ABB Future Labs
Leading global research focused on software architecture and emerging disruptive technologies, K. Eric Harper is a Senior Principal Scientist with ABB Future Labs responsible for internal projects that leverage machine learning and artificial intelligence to create a more sustainable future.

Panelist: Brad Klenz, Distinguished IoT Analytics Architect, SAS
Brad Klenz is Distinguished IoT Analytics Architect at SAS. His responsibilities include the design of analytics required by SAS’ IoT solutions. His recent projects include the use real-time computer vision on edge devices. He is chair of the IIC Industrial Artificial Intelligence task group.

Digital Transformation (DX) is the strategic realignment associated with the application of digital technologies towards new and improved business, industrial models and processes. A key component in successful transformation is ensuring trustworthiness of your digital systems.

Trustworthiness is the degree to which an industrial system can be relied on to do what it should, and not to do things that it shouldn’t. During this webinar we will explore why Trustworthiness (especially security) is such an important concept, considering that historically OT (Operational Technology) systems were designed to be resilient, reliable and very safe, whilst IT (Information Technology) systems have been built to be secure, private and reasonably reliable.

With the advent of IoT and Digital Transformation, the requirements of IT and OT become intertwined. Different industrial environments have their own unique challenges, and as they are digitally transformed, they become more connected, and potentially more vulnerable. The trustworthiness of industrial environments need to be handled differently than the traditional IT environment and newly IT/OT-converged systems must meet trustworthiness considerations associated with each.

Bottom line: Failure to address the trustworthiness issues of IoT systems (especially security) can put the organization’s DX strategy at risk, resulting in serious negative consequences such as missed market opportunities and wasted critical investments in DX initiatives.

In this webinar we will explore:
•What is Trustworthiness?
•How much trustworthiness do you need?
•The trustworthiness journey
•Best practices for managing trustworthiness
•Applying Trustworthiness to Digital Transformation

The Industry Connect Service, recently launched by the Industrial Internet Consortium, assists technology users in developing and deploying projects, as well as defining requirements important to their industry. The experts within the Industrial Internet Consortium ecosystem have developed best practices, guidelines and frameworks and have applied these resources across many industries, helping technology users solve problems and digitally transform their processes securely. Companies seeking solutions can now work with our experts who apply their knowledge to solve the complex problems posed by applying IoT technologies to existing processes and developing new business models to generate new revenue streams.

In this Webinar you will learn:
-a program overview
-benefits of participation
-how to get started

We offer technology users the opportunity to leverage our ecosystem of experts regardless of the size of the project.

The future of the energy industry is adaptive -- driven by analytics and intelligence. How do you get there?

Energy adaptive networks and software defined power grids can be used to protect against natural disasters. Hear lessons learned from the 2018/19 California wildfires, and how focusing on power optimization, leveraging IoT and data in motion analytics, based on smart grid research in Optimal Power Flow at Caltech and Open Source collaboration can help transform your power grid.


Featured speaker: Michael Enescu
Visiting Scholar | Caltech Engineering & Applied Science Division
Co-Founder and CEO, Energy Adaptive Networks

Digital transformation is causing organizations to revisit ‘Cloud First’ strategies. Where traditional IT workloads are rapidly migrating towards the cloud, the Internet of Things has a diverse set of best execution venues for IoT workloads from the devices themselves to the core. This webinar will walk through the multitude of edge, near-edge, and core locations, as well as the how and why industries are choosing these locations, based on years of end-user surveys. Finally, we will discuss the market opportunities for vendors of edge and near-edge solutions.