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TROVE acquired by E Source to add predictive data science expertise

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BUFFALO, N.Y., Feb. 12, 2020 (GLOBE NEWSWIRE) — TROVE, the leading provider of predictive data science software solutions for the utility industry has been acquired by E Source to add predictive data science expertise. This acquisition demonstrates an increased emphasis on the role of predictive data science in shaping the future of how utilities effectively manage the customer and infrastructure sides of their business reliably, efficiently, safely, and sustainably.
TROVE provides predictive data science solutions for the utility industry, delivering data-driven artificial intelligence (AI) solutions for utilities’ customer- and infrastructure-related challenges.E Source, a Boulder, CO based company, delivers energy-related research and advisory services to thousands of utility employees and senior leaders across the US and Canada, arming them with the knowledge, guidance, and best practices they need to adapt to ever-changing business and market conditions.“Our acquisition of TROVE will allow us to apply sophisticated predictive analytics and data science to our best-practice utility research and consulting practices,” says E Source CEO Wayne Greenberg. “TROVE has had incredible success using advanced AI software to deliver big wins quickly for some of the largest utilities in the US. The opportunities are nearly endless for collaboration, and we couldn’t be more excited to bring the TROVE team into E Source.”“The customers and markets that our organizations serve demonstrate a growing need for data-driven innovation,” says Ted Schultz, CEO of TROVE. “With the combination of our talented teams, data, and expertise, we’re uniquely positioned to meet these and future needs. It’s an exciting time for all of us.”E Source is committed to making Buffalo the hub of its expanding data science software practice, taking full advantage of the technology community and economic incentive programs offered in the greater Buffalo/Niagara region. TROVE will maintain its data science software headquarters in the BNMC Innovation Center and its relationships with the local tech and entrepreneurship community – LaunchNY, the Emerging Cleantech Opportunity Incubator, Invest Buffalo Niagara, STARTUP-NY, and others who are similarly committed to tech and economic growth in the area.“We’re very excited about this next phase for TROVE and the tremendous opportunities presented by leveraging the E Source platform,” says Adam Stotz, CTO of TROVE. “The great technical talent in the Buffalo region and supportive infrastructure was key to growing TROVE through its start-up phase and will continue to be key to our growth as more utilities look to become data-driven organizations.”In June 2019, E Source was acquired by private equity firm Align Capital Partners. In February 2020, E Source announced the acquisition of smart meter and smart city advisory firm UtiliWorks Consulting. Both companies will be united under the E Source brand in the months ahead.About TROVE
TROVE Predictive Data Science, Inc. is a leading provider of AI software and services, bringing data intensive utility clients the technology, expertise, and proven delivery methodology needed to make their data useful quickly and cost-effectively. Using the latest technologies and techniques, including AI, deep learning, and machine learning, TROVE’s AI software – its “Solvers” – and team – the “Science Squad”® – complement the people, data and systems of clients to turn the promise of Big Data into the reality of Business Value. TROVE is privately held and headquartered in Buffalo, NY. For more information, please see www.trovedata.com.
Public relations contact
Sannie Sieper, Director of Marketing, E Source
[email protected]
303-345-9138

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Artificial Intelligence

Compact Solutions, Mighty Results: Cervoz Unleashes the Power of Edge Computing

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TAIPEI, May 20, 2024 /PRNewswire/ — Cervoz Technology, a leader in industrial-grade storage, memory, and expansion solutions, is powering the evolution of edge computing with its innovative solutions.

In today’s data-rich landscape, businesses rely on insights from IoT devices. With advancements in AI and 5G, data volumes surge, straining traditional cloud computing with bandwidth and latency issues. Edge Computing emerges as a solution, processing data at its source for real-time insights crucial for applications like digital twins, autonomous vehicles, and smart healthcare.
What is Edge Computing?
Edge Computing is a decentralized IT architecture that processes data near its origin, often at the network’s edge. This approach divides tasks from central data centers to edge devices and nodes. It enables faster, deeper insights and enhances responsiveness, improving speed and reducing latency compared to centralized clouds. Typically, an Edge Computing system comprises three layers: device, edge, and cloud.
The Device Layer
The device layer, situated closest to the physical world, comprises endpoint devices such as sensors, controllers, and cameras, among others. The layer prioritizes data collection and initial processing for real-time response and efficiency. It requires highly reliable, compact, and energy-efficient components. Cervoz’s M.2 2230 (A+E key /B+M key) NVMe SSDs and DDR4 SO-DIMM modules optimize this setup with fast data access and efficient storage in space-saving designs. They operate reliably across a wide temperature range (-40°C to 85°C) and feature additional conformal coating and anti-vibration filling for enhanced performance in harsh environments.
The Edge Layer
The edge layer, composed of edge servers and gateways, serves as a crucial link between device-layer data sources and cloud-based operations. It is designed for extensive data handling, filtering, and analytics, emphasizing quick operations and real-time responses to minimize reliance on remote data centers. For optimal performance, components must manage high processing loads with minimal latency and maximum stability. NVMe SSDs boasting PCIe Gen3 or higher, such as the Cervoz NVMe PCIe Gen3x4 SSD, with compact M.2 form factors, advanced DRAM cache buffer, and LDPC ECC technology, are perfectly suited for the edge layer. These SSDs enable efficient directory and error correction during high-speed data transfers, thus enhancing data accuracy and reliability.
The Cloud Layer
The cloud layer requires intensive processing and long-term storage, performing analytics, operating AI and machine learning, and managing extensive data systems across various edge locations. It demands high-performing and reliable components. Cervoz NVMe PCIe Gen4x4 SSDs excel with Read/Write speeds of up to 7,100/6,190 MB/s and 4K random IOPS up to 1,000K, with aluminum heatsinks and thermal throttling for overheating issues. DDR5-5600 DRAM boosts this setup with high data throughput and efficient power use, satisfying rigorous computational needs.
Interlayer Connectivity
Reliable, low-latency network connectivity is crucial as data flows between the device layer, edge, and cloud. Cervoz 10GbE Low-Profile Ethernet Card provides high-speed, stable wired connections in high-bandwidth, low-latency environments. Additionally, the new PCIe Compact Low-Profile Ethernet Card is ideal for narrow edge device enclosures. For areas where wiring is impractical, M.2 Wi-Fi cards offer essential wireless flexibility. These connectivity options ensure a solid foundation for seamless data management across all layers.
Cervoz offers comprehensive solutions to enhance edge computing capabilities. From compact NVMe SSDs and DRAM modules, to advanced modular expansion cards, enabling seamless integration, optimized performance, and unmatched reliability in edge computing deployments.
About Cervoz
Based in Taiwan, Cervoz Technology boasts almost twenty years of expertise in developing and providing industrial-grade storage, memory, and expansion solutions across a myriad of global industrial sectors.
ContactsSales: [email protected] 
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Team Exponentia.ai UK attended the AWS summit in London

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Team Exponentia.ai UK celebrates Sanjay Kumar’s insightful session at the AWS summit in London
LONDON, May 20, 2024 /PRNewswire/ — Sanjay Kumar, Head of Exponentia.ai in UK & Europe, delivered an impactful presentation on Driving Manufacturing Innovation through AWS Analytics & AI. The recently concluded AWS Summit took place on the 24th of April in ExCeL, London.

Sanjay shared the stage at Theatre B with Adrian Pinder from DS Smith and Ahmed Raafat from AWS, captivating the audience with insights and experiences from Exponentia.ai’s collaboration with DS Smith.
During the session, Sanjay Kumar highlighted Exponentia.ai’s impressive use cases and case studies, including the Data Factory and Procurement Spend Analytics (PSA) projects undertaken in partnership with DS Smith. These initiatives demonstrated Exponentia.ai’s commitment to leveraging the AWS ecosystem to drive operational efficiency and business growth in the manufacturing sector.
The Exponentia.ai team seized the opportunity to engage with industry peers, partners, and friends, while also exploring the latest innovations showcased at the summit. Their participation in various sessions and visits to innovative booths further enriched their understanding of industry trends and best practices.
Reflecting on the event, Sanjay Kumar expressed his enthusiasm, stating, “The AWS Summit in London provided an excellent platform for us to showcase our expertise in manufacturing analytics and AI. The overwhelming response from attendees reaffirms the value of our solutions in driving innovation and transformation across industries and our commitment to deliver value to our customers through data. We look forward to continuing our collaboration with AWS and our partners to deliver impactful outcomes for our clients.”
The AWS Summit London 2024 marked a significant milestone for Exponentia.ai, reinstating its commitment to excellence and innovation in the field of AI and analytics. As the team eagerly anticipates future events, they remain dedicated to empowering businesses with transformative technology solutions.
For more information about Exponentia.ai and its innovative offerings, please visit www.exponentia.ai. 
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Clarivate Launches AI-Enhanced Solution to Accelerate Trademark Watching

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Providing faster and more accurate answers to critical business questions
LONDON, May 20, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT), a leading global provider of transformative intelligence, launched the first publicly available version of Trademark Watch Analyzer today at the 2024 International Trademark Association Annual Meeting. As the next-generation trademark protection solution enhanced by artificial intelligence (AI) and cloud technology, this solution combines Clarivate global trademark and case law data, in-house IP expertise, and cutting-edge AI technology. It will provide faster and more accurate answers to critical business questions by automating key trademark watching tasks and intelligently prioritizing result sets.

Trademark Watch Analyzer connects users to trademark datasets in 258 countries and territories across 191 official trademark registers, as well as data from 7+ million trademark litigation cases. This content is harmonized and connected through AI algorithms which query, connect and mine both datasets delivering advanced insights in supported watch products. This revolutionizes the way trademark watch results are delivered, so that clients can rank results based on their chance of success/opposition.
According to data from SAEGIS®, a CompuMark™ trademark solution from Clarivate, the number of trademark applications filed globally each year has more than doubled since 2014. With over one million new trademarks added to trademark registers around the world each month, the risk of infringement has never been greater, making vigilance of trademark applications essential to protect and grow strong brands.
Gordon Samson, President, Intellectual Property, Clarivate, said: “As the global business landscape grows more complex, trademark professionals are faced with challenges including more data, less context and shorter deadlines. Our advanced AI-driven solution enables clients to confidently monitor their trademarks anywhere in the world, with global monitoring and automated alerts, while also saving time, costs and critical resources. The launch of the Trademark Watch Analyzer is the latest example of our Think forward™ promise — connecting clients to trusted intelligence to ensure an IP-empowered tomorrow.”
With a more intuitive design and user interface, Trademark Watch Analyzer will enable clients to have a much-improved user experience as they work with their results. The navigation will be based on the same architecture as the Brand Landscape Analyzer launched in 2023, providing clients with a more cohesive experience within the Clarivate product suite.
Find out more about Trademark Watch Analyzer here.
About ClarivateClarivate™ is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com
Media Contact: Jack Wan, External Communications Director [email protected]
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