Olea Edge Analytics, an intelligent edge computing platform for the water utility industry, has appointed Ben Wilson as Chief Operating Officer. Wilson, the former Chief Technology Officer – Energy at Google, will build out Olea Edge Analytics’ growing technology team and guide the technical development of new products.
Wilson brings 30 years of experience working with the world’s top technology companies. He began his career working on the space station and space shuttle programs at IBM and later served as Chief Information Officer of Siemens Energy and CTO at GE Oil & Gas and P2 Energy Solutions. He joined Google in 2017, heading up Google – Energy’s technical efforts to bring cloud services to the energy sector and use big data to help clients become more efficient.
Earlier this year, Olea Edge Analytics announced an expanded $3.9 million partnership with the City of Atlanta – Department of Watershed Management that is expected to recover millions of dollars in revenue for the utility by monitoring high-value water meters. The company’s success in Atlanta is attracting other cities interested in additional revenue, better asset management and operational efficiency.
“Olea is one of the very few start-ups I’ve seen that when a customer uses the product they make more money. This is impressive AI technology for an industry that hasn’t seen a lot of innovation,” Wilson said. “I’m looking forward to hiring the best software engineering team around and energizing the company for its next level of growth.”
Olea Edge Analytics recently expanded beyond sensors that continually manage meters to provide a Smart Water Management Platform, a single dashboard that gives cities and utilities complete visibility of all their managed assets.
New Chief Commercial Officer at AlefEdge
AlefEdge has appointed Jeff Tennery as its Chief Commercial Officer. Tennery is a seasoned technology executive with more than 30 years of leadership experience in mobile, digital media and platform technologies.
Tennery is expected to help lead the commercial rollout of EdgeNet across thousands of mobile edge sites globally while building the largest 5G Edge developer community in the world.
Tennery has held senior executive leadership roles at Verizon, AT&T and Millennial Media. Prior to joining Alef, Tennery founded leading freelance platform company Moonlighting, which was acquired in January 2021 by CareerGig.
ClearBlade ‘Edge Computing Company of the Year’
ClearBlade has won the Compass Intelligence ‘Edge Computing Company of the Year’ award for the second year in a row. The company notes the foundation of its IoT innovation is the ability to take physical objects or assets and turn them into “intelligent” machines or objects that sense, communicate, predict, prescript, and digest data for actionable outcomes. Today’s businesses and organizations continue to seek out solutions that are secure, flexible, simple, provide business value, and do not break the bank. ClearBlade delivers on these needs and is driving enterprise digital transformation through its Intelligent Assets solution, which is a secure “no-code” IoT Application built on their secure edge platform. Some of the industries ClearBlade serves include rail, manufacturing, aerospace, and facilities or building management.
“ClearBlade is honored to receive another Compass Intelligence award this time for Edge Computing Company of the Year. With Intelligent Assets businesspeople are able to utilize the power of Edge Computing to visualize and control their physical assets without needing a degree in computer science. Customers around the world are realizing this power across verticals and I am extremely happy to see the industry take notice.” Eric Simone, CEO at ClearBlade, Inc.
“As a basic need to transform operations, businesses need to take an assessment of their assets, infrastructure, people, and systems before getting started on their transformation journey,” states Stephanie Atkinson, CEO of Compass Intelligence. “A knowledge base of these objects is at the core of making these machines and assets more intelligent and ClearBlade gets that and continues to deliver business value across many industries that are scalable and affordable.”
BrainChip talks AI on Sensors at the Edge
BrainChip Holdings Ltd. presented at the Expert Bar session “Can You Put AI at the Sensor? (Not the Edge of the Cloud!)” last week at the Embedded Vision Summit. The virtual presentation is available on-demand for attendees of the event.
The BrainChip team helped viewers better understand the requirements of sensors at the edge and how challenges associated with traditional machine learning make it difficult to properly enable these devices. Deploying a solution that leverages advanced neuromorphic computing as the engine for intelligent AI at the edge can be better used to solve critical problems such as privacy, security, latency, and low power requirements, while providing key features, such as one-shot learning and computing on the device itself, without dependency on the cloud.
BrainChip is delivering on next-generation demands by achieving efficient, effective AI functionality. The company’s Akida neuromorphic processors are revolutionary advanced neural networking processors that bring artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high-performance, small, ultra-low power and enables a wide array of edge capabilities. The Akida (NSoC) and intellectual property, can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation. These applications include, but are not limited to, home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection, sound detection, odor and taste detection, gesture control and cybersecurity. The Akida NSoC is designed for use as a stand-alone embedded accelerator or as a co-processor, and includes interfaces for ADAS sensors, audio sensors, and other IoT sensors. Akida brings AI processing capability to edge devices for learning, enabling personalization of products without the need for retraining.
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