EP057 - Databases designed for the IoT - An Interview with Syed Hoda of Crate.io
Thursday, Feb 13, 2020

In this episode of the IIoT Spotlight Podcast, we discuss the challenges facing companies when they scale industrial use cases that rely on large complex data streams and trends driving the development of systems at scale by traditional industrials that are expanding their business scope.What is different about data in IoT and why is it harder than other projects?Why do traditional databases and dev-ops methods fail in IoT projects?How do consumer application development trends interact with, and drive, the development of industrial applications?Syed Hoda is the Chief Commercial Officer and President North America at Crate.io, which develops IIoT data management solutions for customers around the world. An IoT industry veteran, Hoda most recently served as CMO of digital manufacturing platform company Sight Machine, and previously had been CMO of ParStream, the IoT analytics company acquired by Cisco Systems Inc. He lives in Palo Alto, California. https://crate.io/products/crate-iot-data-platform/" />
EP056 - Airbnb for telecommunications - an Interview with Frank Mong
Monday, Dec 09, 2019

In this episode of the IIoT Spotlight Podcast, we discuss how Helium is providing universal and affordable connectivity for IoT devices, provided by people, and secured through a blockchain. How do you provide connectivity where there is no infrastructure? How do you incentivize people to contribute to an open-source connectivity ecosystem? What are the connectivity challenges facing IoT device manufacturers today? Frank Mong is COO at Helium, where he is leading the global go-to-market strategy for the company. He is responsible for sales, marketing and business development at Helium. Before Helium, Mong spent 20 years in cybersecurity including CMO at Hortonworks, SVP of Marketing at Palo Alto Networks, and VP/GM of security at HP. frank@helium.com Helium is building the world’s first peer-to-peer wireless network designed specifically for IoT devices. Helium's technology will help spark a wave of innovation by enabling a new generation of small, mobile, low-powered IoT devices that include remote wildfire and agricultural sensors, micro-mobility trackers, and more. helium.com Use cases: Helium.com/enterprise Developer resources (software, hardware, firmware, connectivity documentation): helium.com/developers Buy Helium Hotspot: helium.com/store" />
EP055 - How to cut 20 minutes off an emergency 911 response with data - an interview with Michael Martin of 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 - an Interview with Bob Nunn of 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.Are we trading one problem for another with IoT sensors?How do we create a sensor the size of a stamp with larger range and compute ability than the average sensor today?How accurate are consultancy forecasts about the size of the IoT market? 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 - an interview with Gabe Grifoni of 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 enterprise@rufuslabs.com " />
EP052 - Empathy is the key to successful industrial design - An interview with Gordon Stannis of 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. What is human-centric design?What is empathy in an industrial environment?How to manage and communicate through the process of trials and failure?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.twisthink.com/iotspotlight" />
EP 051 – Hyper converged infrastructure for scale and simplicity in IIoT, and other success factors – an interview with Satyam Vaghani of 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 – An Interview with JL Beaudoin of 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. Key Takeaways:The objective of connecting assets and making sense of data is to convince customers that the systems are built and work to do to the job as they are expected to do, by validating the quality of the design or the manufacturing process.The best way to build a system is to have all assets with open communication standards. Communication protocols evolve – new protocols are built and existing protocols are upgraded to different versions. Sometimes, standardized protocols evolve to a stage where it is extremely difficult to communicate with other standardized protocols. In that scenario, it is necessary to reinvest in new components.Manufacturers in slower moving industries can learn from faster moving industries by adapting proven technologies.Successfully applying machine vision technologies depends on acquiring and saving the right set of data to solve current and future problems, regardless of the sources of the problems. The applications are very unique as the operating environments are very different and will deeply affect the final systems and processes, even if the methodologies remain the same.Storing data for machine vision technologies depends on the standards in place. There are 2 main types: Existing clear standards and structure: The technologies used will only need to comply with the requirements and connect the machine vision tool to the exciting solution to ensure that the data flow works well.No clear existing standards: The goal is to move towards connecting all assets first, before doing any data work. In this case, PTC Thingworx is the best choice as it can be used as a substitute for a standard platform for connections across disparate systems. It delivers immediate value for asset management by connecting many assets without transitioning custom or separate databases and analyzing the data flow to generate insights. It also works well for system integrators and consultants as they will own the intellectual property of all apps developed on it, which can then be used for other customers.Managing processes is critical to successful system deployments. From design to manufacturing, quality is key. Processes involving the operations of, and data generated at, each stage must be accessible and disseminated across the entire enterprise so that suitable actors can take action for correction and optimization.  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 - An Interview with Sophie Sun of 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.Key takeaways:⁃               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 solutionsIndustry leaders can access the technological expertise of the startupsThe 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 - an interview with Preston Johnson of 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. Takeaways: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.People: the right people and skills in the right positionsProcesses: the mechanisms to identify maintenance tasks and the process to manage these tasksTechnology: ability to gather equipment health data5.             Technology driving the adoption of predictive maintenance are the ease of connectivity and data analytics software tools:Connectivity increases the ability of systems to pull data out of control systems while maintaining their security. The ability to add more sensors without adding significantly more cabling of infrastructure allows more parameters to be measured for a more holistic view.Software for data analytics organizes the data into events and patterns using natural language processing, which makes the system more user friendly for the connected worker. 6.             The decision to choose the software and hardware products depend on the understanding of business and operational processes:Choosing hardware: The failure mechanisms for each piece of equipment should be considered. The sensors should be able to measure the failure mechanisms and collect the data that can help the organization to plan scheduled maintenance when it is operationally convenient.Choosing software: The software must bring together business processes and maintenance processes to orchestrate maintenance activities effectively. At the minimum, it should bring together work order costs, maintenance schedules, condition monitoring data and identify flags that may cause problems in the future.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. " />
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