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Rockset Adds Vector Search For Real-time Machine Learning At Scale

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SAN MATEO, Calif., April 18, 2023 (GLOBE NEWSWIRE) — Rockset, the real-time analytics database built for the cloud, today announced native support for vector embeddings, enabling organizations to build high-performance vector search applications at scale, in the cloud. By extending its real-time SQL-based search and analytics capabilities, Rockset now allows developers to combine vector search with filtering and aggregations to enhance the search experience and optimize relevance by enabling hybrid search.

Vector search has gained rapid momentum as more applications employ machine learning (ML) and artificial intelligence (AI) to power voice assistants, chatbots, anomaly detection, recommendation and personalization engines—all of which are based on vector embeddings at their core. Rockset delivers fast, efficient search, aggregations and joins on real-time data at massive scale by using a Converged Index™ stored on RocksDB. Vector databases, such as Milvus, Pinecone, Weaviate and other popular alternatives like Elasticsearch, store and index vectors to make vector search efficient. With this release, Rockset provides a more powerful alternative that combines vector operations with the ability to filter on metadata, do keyword search and join vector similarity scores with other data to create richer, more relevant ML and AI powered experiences in real-time.

“By extending our existing real-time search and analytics capabilities into vector search, we give AI/ML developers access to real-time data and fast queries with a fully managed cloud service,” said Rockset co-founder and CEO Venkat Venkataramani. “We now enable hybrid metadata filtering, keyword search and vector search, simply using SQL. Combining this ease of use with our compute efficiency in the cloud makes AI/ML a lot more accessible for every organization.”

With the new release, Rockset supports vector operations along with the following benefits:

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  • Real-time data: High velocity real-time indexing with support for updates
  • Fast search: Combine vector search, keyword search and metadata filtering for fast, more efficient results
  • Hybrid search and analytics: Join vector similarity scores with other data to create richer, more relevant experiences, using SQL
  • Fully managed cloud service: A horizontally scalable, highly available cloud-native database with compute-storage and compute-compute separation for cost-efficient scaling in the cloud

Rockset can also be used with OpenAI’s Embeddings API to generate, index and query language embeddings. In addition, the company announced an integration with the Feast Feature Store to streamline the management of vector embeddings across multiple data sources and frequently updated models. With the ability to scale to billions of vectors and serve thousands of queries per second, Rockset enables real-time machine learning efficiently at scale.

Learn more about the release by joining the webinar: How to build Real-Time Machine Learning at Scale.

Supporting Resources

About Rockset

Rockset, the Real-time Analytics Database Built for the Cloud, delivers fast analytics on real-time data with surprising efficiency. Search, join and aggregate any data at scale with sub-second response. Scale efficiently with Rockset’s converged indexing and built-in connectors. Build data apps in weeks, not months, regardless of the shape of your data. For more information, go to rockset.com.

Media Contact
Amy McDowell
Offleash PR for Rockset
[email protected]

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Artificial Intelligence

Kazakhstan Government Delegation Visited SUPCON

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HANGZHOU, China, Sept. 29, 2024 /PRNewswire/ — On September 26, a delegation from the Ministry of Digital Development, Innovations and Aerospace Industry of the Republic of Kazakhstan, led by Minister Madiyev Zhaslan, visited SUPCON. SUPCON’s Chairman and President, Mr.Cui Shan, warmly welcomed the delegation.

The Kazakhstan government representatives expressed their appreciation and recognition of SUPCON’s expertise and innovation in intelligent manufacturing, digital transformation, and industrial AI.
Madiyev Zhaslan expressed a strong interest in industrial AI technologies of SUPCON, particularly their applications in intelligent and low-carbon facilities. He looks forward to exploring extensive collaboration with SUPCON across various sectors in Kazakhstan.
Cui Shan emphasized that as a leading industrial AI company with a global presence, SUPCON will leverage its technological advantages to meet Kazakhstan’s industry development requirements and trends, injecting new momentum into the country’s industrial digitalization.
In 2023, SUPCON established a subsidiary in Kazakhstan as its Central Asia regional headquarters and set up a localized operational system. SUPCON will continue to invest in the long-term development of the Central Asia region, contributing further wisdom and strength to the industrial digital transformation in Kazakhstan and beyond.
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Artificial Intelligence

Huawei Peer-Recognized as a 2024 Gartner® Peer Insights™ Customers’ Choice for Enterprise Wired and Wireless LAN Infrastructure

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SHENZHEN, China, Sept. 29, 2024 /PRNewswire/ — On September 24, 2024, Huawei announced that it has been peer-recognized a 2024 Gartner® Peer Insights™ Customers’ Choice in the Voice of the Customer for Enterprise Wired and Wireless LAN Infrastructure thanks to its Xinghe Intelligent Campus offerings. This marks the fifth year in a row that Huawei has received this distinction. Notably, Huawei receives Customers’ Choice distinctions in four of the six customer segments: Midsize Enterprise (50M – 1B USD); Public Sector, Government and Education; Asia/Pacific; and Europe, the Middle East and Africa.

As of June 30, 2024, customers across diverse sectors — including manufacturing, IT services, education, and telecommunication — have reviewed Huawei’s complete Xinghe Intelligent Campus offerings on the Gartner Peer Insights platform. We believe their impressive feedback showed global recognition of Huawei from the industry influence, deployment scales, and mature commercial use perspectives.
“We’re thrilled to be named a Gartner® Peer Insights™ Customers’ Choice for Enterprise Wired and Wireless LAN Infrastructure again,” said Shawn Zhao, President of Huawei’s Campus Network Domain. “Recently, Huawei launched the newly upgraded Xinghe Intelligent Campus that takes wireless, application, and O&M experience to new levels with AI technologies, ultimately accelerating the digital transformation of enterprises.”
Looking ahead, Huawei will further innovate Xinghe Intelligent Campus offerings from wireless, application, and O&M experience upgrade perspectives, helping all industries stride to the future of experience-centric intelligent campus networks.
For more about Gartner® Peer Insights™ Customers’ Choice, visit: https://www.gartner.com/reviews/market/enterprise-wired-wireless-lan-access-infrastructure 
Disclaimer:
Gartner, Voice of the Customer for Enterprise Wired and Wireless LAN Infrastructure, Peer Contributors, 12 September 2024
Gartner, Peer Insights, Magic Quadrant and Customers’ Choice badge are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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Huawei Wen Tong: 6G Needs to Embrace AI for Shaping Future Network

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SHENZHEN, China, Sept. 29, 2024 /PRNewswire/ — At the 6G Conference held in Istanbul, on September 24, 2024, Dr. Wen Tong, Huawei Wireless CTO, delivered a keynote speech on 6G standardization and innovation. With the release of the ITU-R 6G vision framework, the 3GPP will start 6G standardization in 2025. “6G is a new generation of mobile technology, not a simple upgrade of 5G, it should bring new value to users,” said Dr. Tong, “6G is a true intergenerational technological disruption. 6G standard, key technologies, and network architecture should be re-defined based on application scenarios and requirements from 2030 to 2040. 6G should not be another way to implement 5G. Instead, 6G should embrace the AI revolution with a quantum leap and generate new values for the consumers. In this way, 3GPP standards can truly realize the 6G vision and create greater value for the entire industry.”

Centered “6G Standardization Direction” and “6G Innovation Driving Force”, Dr. Tong shared important views on the future architecture, terminal development, and key technologies of 6G.
In terms of architecture design, 6G should go beyond Service-Based Architecture and move towards Application-Driven Network.
5G has already achieved market success and continues to evolve towards 5G-Advanced. 6G will not simply reuse 5G network architecture, without generational and fundamental innovations, which will limit the mobile industry’s aspiration and imagination to dive the innovation in the 6G era. 6G must have obvious cross-generational characteristics and technical breakpoint.
On the core side, reusing the 5G core network will hinder the innovation in AI. We should use Agentic-AI based technology to re-architect 6G Core that goes beyond 5G Service-Based Architecture and support the foundational capabilities of AI, Sensing and NTN , and thus evolve towards the Application Driven Network .
In terms of terminal evolution, 6G user device calls for a breakthrough to lead the success of the entire industry chain.
It is the law of the mobile industry to drive the evolution of the market with the pioneering technology. The 6G networks and 6G terminals must meet the requirements of consumers and vertical industries in the 6G market phase from 2030 to 2040.
Currently, smartphones are evolving to AI terminals to usher in the mobile AI era. In post-MBB era, breakthroughs in terminal technologies will be the key to the evolution of the mobile industry. Therefore, 6G user device calls for a breakthrough towards “Full-AI”, thus to drive 6G network upgrade and the success of the entire industry ecosystem.
In terms of technology development, AI will become a key enabler for 6G with network paradigm shifting.
Twenty years ago, the Internet was the enabler of the technology innovations. Mobile communications embraced the Internet and achieved great business success. Today, AI maybe the disruptive enabler of the latest technology innovations.
6G should embrace the AI revolution with a quantum leap. However, 6G networks should not be limited to generative AI, Artificial General Intelligence (AGI) and Embodiment-AI are the main directions of future AI development. Therefore, AGI should run through the whole process of sensing, reasoning, decision, and action of terminals, wireless networks, and core networks of 6G, to welcome the arrival of a new network paradigm.
At the end, Dr. Tong Wen emphasized the relationship between 5G and 6G: “The global 5G deployment is on the rise and evolving to 5G-Advanced, which not only meets the current requirements of operators, but also protects their investment. Therefore, 6G technologies should not overlap with 5G in technologies and market space. The specifications, technologies, and architecture of 6G must be based on the scenarios and requirements from 2030 to 2040. We should focus on true generational technology disruption, embrace the new opportunities brought by AI, expand the mobile industry in the next generation.”
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