Hardware Podcasts

Managing 250 Million Messages Per Day

Over the Air · 12 May 2022 · 33m

AI in practice: one real use of AI described

What this episode covers

Eric Simone, Founder and CEO of ClearBlade, discusses the company's evolution from a services firm to a product-led Industrial IoT platform. He details the painful transition in 2013, including retooling staff and handling employee departures, and explains their strategic bet on edge computing before it was mainstream. Simone highlights ClearBlade's 'intelligent assets' platform, which allows non-technical operators to manage connected devices via no-code tools while remaining flexible for developers, and outlines their future focus on deploying AI models at the edge.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulationOnyX

Clear Blade integrated the OnyX open-source technology to efficiently run AI models at the edge, unlocking models developed by data scientists that were previously too large or heavy to deploy outside the cloud.

“And we're leveraging lots of open source technologies like onyx and embedding it into the clear blade product to make that more efficient. And we're seeing customers, specifically in oil and gas, starting to use this for more efficient exploration and drilling and so forth.”

Eric Simone · Hear it at 23:37

Most relevant to

companies scaling up

Topics

Mentioned

Companies
ClearBlade, IBM, Parse, Facebook, Phoenix Contact, SAS, Very, Vignette
Also
Linux, Windows

Related episodes from other shows

Other shows on the same ground, closest first.

  • IoT For All Podcast · 31m

    Key Considerations for IoT Software | Interlogica's Alessandro Fossato

    Alessandro Fossato, Co-Founder and CEO of Interlogica, discusses the evolution of IoT software from simple connectivity to complex data-driven business models. He explains how Interlogica shifted from agile IT consulting to building custom IoT solutions that bridge the gap between physical sensors and executive decision-making. Fossato highlights the importance of edge computing and machine learning for processing large data volumes, using a real-world example of AI-based quality assurance in manufacturing.

    Connected products & IoTAI & machine learning
    6 chapters

  • IoT For All Podcast · 31m

    What is Industry 4.0? | John Younes, Co-Founder & COO of Litmus Automation | #IoTFounders E039

    John Younes, Co-Founder and COO of Litmus Automation, explains how his company pivoted from the connected car space to industrial IoT, focusing on edge computing platforms that connect legacy and modern devices. He details the shift in market maturity, noting that customers now have dedicated budgets and seek quick ROI through small-scale pilots rather than multi-year proofs of concept. Younes outlines key use cases like remote monitoring and predictive maintenance, emphasizing the importance of running algorithms at the edge for real-time control and security. He also discusses the future of industrial automation, highlighting a move toward closed-loop control and increased intelligence at the edge.

    Connected products & IoTScaling production
    9 chapters

  • IoT For All Podcast · 21m

    The Impact of Embedded Technology | Losant's Brandon Cannaday

    Brandon Cannaday, co-founder and CPO of Losant, discusses the evolution of the IoT industry from industrial manufacturing to connected products and smart environments. He explains how embedded technology enables manufacturers to shift from one-time hardware sales to recurring subscription revenue models by adding value-added services to their equipment. Cannaday highlights the challenges of organizational change and technical complexity, advising companies to start small with focused use cases rather than attempting massive, splashy deployments.

    Connected products & IoTStarting a product company
    7 chapters

  • IoT For All Podcast · 20m

    IIoT and Edge Computing in 2023 | IOTech's Jim White | Internet of Things Podcast

    Jim White, CTO of IOTech Systems, discusses the evolution of Industrial IoT and edge computing in 2023, noting a shift from experimental pilots to serious, production-ready solutions. He explains that hyperscalers are adapting their cloud-centric models to better serve edge environments, while companies are moving away from unnecessary AI/ML complexity toward simpler, rule-based analytics for specific use cases. White also highlights the challenges of applying enterprise-grade tools like Kubernetes to resource-constrained edge devices, emphasizing the need for specialized orchestration solutions.

    Connected products & IoTSecurity & privacy
    7 chapters

  • IoT For All Podcast · 49m

    E061 IBM's Sky Matthews | The Impact of 5G and Edge Computing on IoT Design & Development

    Sky Matthews, CTO of IoT at IBM, discusses the shift in enterprise IoT from platform-centric builds to value-driven applications, emphasizing the need for digital transformation in complex industries. He argues that 5G hype is currently overblown for enterprises, predicting its real impact will come years later through cost reductions that enable scalable data-heavy use cases like autonomous vehicles. Matthews highlights the convergence of edge computing and hybrid cloud architectures, which forces traditional manufacturers to rethink embedded development lifecycles and adopt continuous integration practices. He also identifies the waste of resources on building proprietary IoT infrastructure as a major industry challenge, advocating instead for leveraging existing cloud ecosystems and partnerships.

    Connected products & IoTWireless & RF
    9 chapters

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by Over the Air. The episode itself belongs to its publisher.