EP055 - How to cut 20 minutes off an emergency 911 response with data - Michael Martin, CEO, RapidSOS
Monday, Dec 02, 2019
In this episode of the IIoT Spotlight Podcast, we discuss the challenges facing 911 IT systems, the impact of data on emergency outcomes, and the role of IoT devices in enabling first time responders and predictive alerts.
How much data does a 911 center have?
How do we know which data is useful to a 911 first responder for deciding actions to take?
How can software and device companies use their data to increase the safety of their products and services?
EP 054 - How removing the battery from sensors can enable a trillion sensor world - Bob Nunn, CEO, Everactive
Wednesday, Nov 06, 2019
In this episode of the IIoT Spotlight Podcast, we discuss the battery problems in IoT that hinder deployments and value creation today, and how innovations in ultra low power circuit design and wireless communications that allow sensors to operate solely on energy harvested from the surrounding environment.
Bob Nunn is the CEO of Everactive. Everactive produces data intelligence for the physical world. Operating without batteries, the company’s always-on wireless sensor networks deliver continuous cloud-based analytics at a scale not possible with battery-powered devices. Everactive’s end-to-end solutions are built upon groundbreaking advances in ultra-low-power circuit design and wireless communication that allow the company to power its Eversensors exclusively from harvested energy. For additional information, visit www.everactive.com.
EP053 - The first iteration of cybernetic workers - Gabe Grifoni, CEO, Rufus Labs
Monday, Oct 28, 2019
In this episode of the IIoT Spotlight podcast, we discuss the evolution of warehouse for commerce, and modern solutions and flexible service based business models to support the new business and competitive challenges in logistics.
What is driving the development of industrial wearables?
How do you sell Hardware-as-a-Service?
What are the disruptive technologies to come in the IIoT?
Gabe Grifoni is the CEO of Rufus Labs. Rufus Labs’ WorkHero is the most advanced connected operator platform for enterprise. Comprised of machine learning software, rugged wearable technology, and superhuman support, WorkHero is a complete Productivity as a Service solution for the evolving workplace (Industry 4.0). Compatible with existing WMS/ERP systems, it connects workers to each other and to automation, allowing for optimal coordination between humans & machines. WorkHero provides our logistics, e-commerce, and fulfillment customers superhuman efficiency gains, safety enhancements, and zero downtime, while providing management with robust, actionable, visibility & analytics into their teams and facilities.
For info and demo: getrufus.com or email@example.com
EP052 - Empathy is the key to successful industrial design - Gordon Stannis, Director of Design and Strategy, Twisthink
Tuesday, Sep 17, 2019
In this episode of the IIoT Spotlight Podcast, we discuss human-centric design and change management in high uncertainty innovation processes.
Gordon Stannis is the Director of Design and Strategy at Twisthink, A business growth accelerator / innovation firm that partners with clients to imagine, develop and launch exciting new user experiences and products that “their” customers will love! For nearly 2 decades the Twisthink team has consistently unlocked game changing opportunities for clients in a broad range of markets including home, transportation, workplace, healthcare, sports and many things in between. Because at Twisthink, they’re not tethered to industry paradigms or mired by the day to day constraints of those industries. They flow between industries and can spot consumer, design and technology trends that affect them all. They’re entirely devoted to creating the ideal user experience which allows their customers to become market leaders and grow.
EP 051 – Hyper converged infrastructure for scale and simplicity in IIoT, and other success factors – Satyam Vaghani, VP of IoT, Nutanix
Tuesday, Jul 16, 2019
In this episode of the IIoT Spotlight Podcast, we discuss the adoption of hyper converged infrastructure to enable scale and simplicity in IIoT applications, how decisions migrate from IT to project managers and business decision makers, and the factors behind successful IIoT deployments.
Why must the OT understand the IT?
How to design an IoT application with strong value propositions for users?
What are the technologies on the rise that will drive progress of solutions available today and future potential solutions?
PTC x IoT ONE EP050 – Machine vision and the importance of IoT data management platforms – JL Beaudoin, VP of Platforms and Innovation, Averna
Thursday, May 23, 2019
*This episode of the Industrial IoT Spotlight Podcast is sponsored by PTC.
In this episode of the IIoT Spotlight Podcast, we discuss machine vision related to core components of testing and measurement systems, and importance of IoT data management platforms.
JL Beaudoin is the VP of Platforms & Innovation at Averna. He combines product management skills and international sales experience to spearhead innovation at Averna. He is also leading the PTC ThingWorx partnership to ensure that Averna’s customers and benefit from the flexibility and value of the platform in order to reach their goals with their industry 4.0 requirements – including real-time visibility and optimized asset management at their facilities. Averna is a Test Engineering leader, delivering innovative test expertise and quality solutions for numerous clients in wide-ranging industries around the world. https://www.averna.com/en/home/
For more information on PTC’s solutions for manufacturing, please visit: http://www.ptc.com/en/industries/manufacturing/
PTC x IoT ONE EP049 - How Merck uses open innovation to improve R&D efficiency – Sophie Sun, Managing Director of Innovation Hub China, Merck Group
Monday, Apr 29, 2019
*This episode of the IIoT Spotlight Podcast is sponsored by PTC.
In this episode of the IIoT Spotlight Podcast, we discuss the leading digital technologies in healthcare and medical devices in China, and why open innovation makes sense for innovation in traditional and deep-science industries.
⁃ Open innovation collaboration allows 3 parties to leverage each other’s strengths:
Start ups strong in technology can leverage the domain knowledge of industry leaders to build out practical use cases and solutions
Industry leaders can access the technological expertise of the startups
The academia and government to gain practical information from private sector to guide policy and programs
⁃ Domains deeply B2B and scientifically dependent are primed for open innovation as the technology development cycle is long and expensive, so it is ideal to partner with actors who have technical or industry expertise, as it is highly expensive for any individual actor to do it on their own.
⁃ Merck’s Accelerator program focuses on engaging startups for 3 months to allow existing businesses to access technology that will be the future of these sectors. There are 3 engagement formats: incubation within the group, M&A or investment by the corporate VC program, or work together with internal R&D teams.
⁃ However, innovation programs are not enough to achieve efficiency in R&D, mindsets and skillsets of internal staff and processes need to be changed to accept and embrace new technologies and changes.
⁃ The difference between startups from Germany and China is the market readiness of Chinese startups. In China, startups are able to test their product more due to the faster pace of adoption of digital solutions and concepts in both the market and the government.
⁃ Two main successes are a track and trace solution throughout the supply chain to maintain safety and quality standards, and a joint venture to develop a platform for data insights to develop better solutions for patients by understanding their purchase behavior and needs.
Sophie Sun is the Managing Director Innovation Hub China and Vice President Strategy & Transformation China at Merck Group. Merck Group is a leading science and technology company in the Healthcare, Life Science, and Performance Materials sectors headquartered in Darmstardt, Germany, and active in 66 countries worldwide.
PTC x IoT ONE EP048 - Balance your three legged stool for maximum equipment efficiency - Preston Johnson, Platform Leader for IIoT and Digital Transformation Services, Allied Reliability
Friday, Apr 12, 2019
*This episode of the Industrial IoT Spotlight podcast is sponsored by PTC
In this episode of the IIoT Spotlight Podcast, we discuss predictive maintenance, how to use best practice behaviors to drive best practice results, and predictive maintenance technologies. We also discuss framework of balancing the three-legged stool (people, processes, and technology), and 2 case studies of successful predictive maintenance implementation projects using the ThingWorx Industrial IoT platform.
1. Predictive maintenance is a method for machine operators to get the maximum productivity out of any piece of equipment. It is especially important for asset intensive industries.
2. Predictive maintenance is the basis of digital transformation in other areas of the enterprise - it is not valuable to optimize a process with chaotic variables.
3. The main value driver in predictive maintenance is the cost of production per unit produced because it is an indicator of machine reliability, revenue, and operating costs, which all add up to the profitability of the production plant. Other KPIs to be considered when implementing a predictive maintenance plan are safety, environmental impact, and product quality.
4. To determine if you are ready to adopt predictive maintenance, people and processes should be in place before the technology is implemented, to create a roadmap to build a balanced three-legged stool.
5. Technology driving the adoption of predictive maintenance are the ease of connectivity and data analytics software tools:
6. The decision to choose the software and hardware products depend on the understanding of business and operational processes:
7. The ROI for any predictive maintenance project can range from a few months to a few years, depending on how well the roadmap is built. The first step to any project should always be an analysis of the current state and picking the lowest hanging fruit to generate quick ROI. The ROI generated in the first stages should be reinvested into the process to multiply returns.
Preston Johnson is the Platform Leader for IIoT and Digital Transformation Services at Allied Reliability, with a technical focus on condition monitoring technology and systems.
IIoT Spotlight Podcast EP 047: Understanding the state of, and challenges in IoT implemention in heavy asset industries – Dave McCarthy, VP of IoT Solutions, Bsquare
Wednesday, Mar 06, 2019
In this episode, we discuss the state of the IIoT business from the solution provider point of view, and the direction of end user organizations as they are orientating themselves around IoT solutions. We deep dive into 2 case studies – 1 on the revenue side and 1 on the cost side.
What is the main obstacle to successful implementation in traditional industries? How does IoT change the relationship with customers? How did companies successfully generate incremental revenue and reduce costs using IoT?
Note: DataV Track will be packaged with another application by Bsquare. Find out more on their product page here.
Dave McCarthy is a leading authority on industrial IoT. As VP of IoT Solutions at Bsquare Corporation, he advises Fortune 1000 customers on how to integrate device and sensor data with their enterprise systems to improve business outcomes. Dave regularly speaks at technology conferences around the globe and he is also a frequent contributor to IT publications. Dave earned an MBA with honors from Northeastern University.
For over two decades, Bsquare has helped its customers extract business value from a broad array of corporate assets by making them intelligent, connecting them and using data collected from them to deliver better business outcomes.
EP046 - The medium is the message: data visualisation for a digitally-enabled organisation - Kirsten Sosulski, Associate Professor of Information Systems, NYU
Monday, Feb 11, 2019
In this episode, we discuss the role of data visualisation, why we use it, and how it is changing based on new technologies.
Is data visualisation a leadership skill? How do we create a data practice within an organisation? How should we think through the role of data visualisation in your organisation?
Kristen is an Associate Professor of Information Systems at New York University’s Stern School of Business. She teaches MBA, undergraduate, executive, and online courses in data visualization, computer programming, and the role of information technology in business and society. She is also the Director of the Learning Science Lab for the NYU Stern where she leads team to design immersive learning environments for professional business school education.
Kristen book: Data Visualisation Made Simple https://www.amazon.com/Data-Visualization-Simple-Kristen-Sosulski/dp/1138503916