Associated tags: Data science, Non-governmental organization, Government, ACID, Internet of things, Graph database, SAN, Neo4j, Cloud, Research, Database, LLM, Gartner
Locations: LUCIN, UTAH, PALO ALTO, CA, US, CALIFORNIA, NV
Retrieved on:
Wednesday, October 25, 2023
Knowledge,
Cloud,
EAP,
Confluence,
Child,
Central processing unit,
Publication,
LLM,
CRN,
Research,
Interest,
Data management,
Agility,
CDC,
Database,
Crime,
Google Knowledge Graph,
Risk,
CPU,
Algorithm,
Neo4j,
Google Cloud Platform,
Magic Quadrant,
VIP,
SAN,
Computer data storage,
Mobile phone,
Online shopping,
Gartner SAN MATEO, Calif., Oct. 25, 2023 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, announced major new capabilities enabling cloud or self managed customers to increase analytical queries by up to 100x faster,1 run both transactional and analytical processing within one database, and automatically track data changes in real time for faster mission-critical decision making.
Key Points:
- New capabilities and benefits include:
Up to 100X faster performance of analytical queries via Parallel Runtime capability, which adds concurrent threads across multiple CPU cores to run analytical graph queries.
- Neo4j also leverages a technique called morsel-based parallelism to optimize this capability, for greater scalability, better resource utilization, and seamless multitasking.
- Faster mission-critical decisions now enabled by native Change Data Capture (CDC), which automates the real-time tracking and notification of data changes in the database.
- The new features are available on Neo4j Graph Database and Neo4j AuraDB now, free of charge, with CDC initially available as an EAP public beta.
Retrieved on:
Wednesday, October 25, 2023
Knowledge,
Cloud,
EAP,
Confluence,
Child,
Central processing unit,
Publication,
LLM,
CRN,
Research,
Interest,
Data management,
Agility,
CDC,
Database,
Crime,
Google Knowledge Graph,
Risk,
CPU,
Algorithm,
Neo4j,
Google Cloud Platform,
Magic Quadrant,
VIP,
SAN,
Computer data storage,
Mobile phone,
Online shopping,
Gartner SAN MATEO, Calif., Oct. 25, 2023 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, announced major new capabilities enabling cloud or self managed customers to increase analytical queries by up to 100x faster,1 run both transactional and analytical processing within one database, and automatically track data changes in real time for faster mission-critical decision making.
Key Points:
- New capabilities and benefits include:
Up to 100X faster performance of analytical queries via Parallel Runtime capability, which adds concurrent threads across multiple CPU cores to run analytical graph queries.
- Neo4j also leverages a technique called morsel-based parallelism to optimize this capability, for greater scalability, better resource utilization, and seamless multitasking.
- Faster mission-critical decisions now enabled by native Change Data Capture (CDC), which automates the real-time tracking and notification of data changes in the database.
- The new features are available on Neo4j Graph Database and Neo4j AuraDB now, free of charge, with CDC initially available as an EAP public beta.
Retrieved on:
Thursday, October 5, 2023
Wildland Fire Lessons Learned Center,
Docker, Inc.,
AI,
LLM,
Love,
Database,
PDF,
GitHub,
Llama,
Medical device,
Risk management,
Mistral,
Neo4j,
Docker Docker also announced today its first AI-powered product, Docker AI .
Key Points:
- Docker also announced today its first AI-powered product, Docker AI .
- “Developers are excited by the possibilities of GenAI, but the rate of change, number of vendors, and wide variation in technology stacks makes it challenging to know where and how to start,” said Docker CEO Scott Johnston.
- Demoed on stage at DockerCon,the GenAI Stack is among a range of new AI/ML capabilities, content, and partnerships announced by Docker with the aim of helping developers quickly and securely take advantage of the power of AI/ML in their applications.
- I’m excited to work with Docker’s community of developers to build the next generation of applications focused on AI.”
Knowledge,
Cloud,
Database,
LLM,
Hallucination,
Google Cloud Platform,
Microsoft,
Research,
Publication,
Fortune 500,
SAN,
Generative,
MAGIC,
Entrepreneurship,
Azure,
AI,
Neo4j,
Graph,
Information technology,
Cryptocurrency,
Gartner SAN MATEO, Calif., Aug. 22, 2023 /PRNewswire/ -- Neo4j ®, the world's leading graph database and analytics company, announced that it has integrated native vector search as part of its core database capabilities.
Key Points:
- SAN MATEO, Calif., Aug. 22, 2023 /PRNewswire/ -- Neo4j ®, the world's leading graph database and analytics company, announced that it has integrated native vector search as part of its core database capabilities.
- The result enables customers to achieve richer insights from semantic search and generative AI applications, and serve as long-term memory for LLMs, all while reducing hallucinations.
- The result ensures more accurate, explainable, and transparent outcomes for LLMs and other generative AI applications.
- Neo4j created the property graph model and is the leading graph database in the market, used by more than 75 of the Fortune 100.
Knowledge,
Cloud,
Database,
LLM,
Hallucination,
Google Cloud Platform,
Microsoft,
Research,
Publication,
Fortune 500,
SAN,
Generative,
MAGIC,
Entrepreneurship,
Azure,
AI,
Neo4j,
Graph,
Information technology,
Cryptocurrency,
Gartner SAN MATEO, Calif., Aug. 22, 2023 /PRNewswire/ -- Neo4j ®, the world's leading graph database and analytics company, announced that it has integrated native vector search as part of its core database capabilities.
Key Points:
- SAN MATEO, Calif., Aug. 22, 2023 /PRNewswire/ -- Neo4j ®, the world's leading graph database and analytics company, announced that it has integrated native vector search as part of its core database capabilities.
- The result enables customers to achieve richer insights from semantic search and generative AI applications, and serve as long-term memory for LLMs, all while reducing hallucinations.
- The result ensures more accurate, explainable, and transparent outcomes for LLMs and other generative AI applications.
- Neo4j created the property graph model and is the leading graph database in the market, used by more than 75 of the Fortune 100.
Cloud,
Product management,
Database,
LLM,
Hallucination,
Partnership,
Google Cloud Platform,
Luigi,
Cloud computing,
SAN,
Algorithm,
Google Cloud,
Entrepreneurship,
AI,
API,
Neo4j,
Sales,
Mobile phone SAN MATEO, Calif., June 7, 2023 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, announced a new product integration with Google Cloud's latest generative AI features in Vertex AI, Google's leading large language model (LLM) platform. The result empowers enterprise customers to harness knowledge graphs built on Neo4j's fully managed cloud offerings in Google Cloud Platform for generative AI insights and recommendations that are more accurate, transparent, and explainable.
Key Points:
- The result ensures more accurate, explainable, and transparent outcomes for large language models (LLMs) and other generative AI systems.
- Specific integrations with Google's generative AI capabilities in Vertex AI enable enterprise customers to:
Leverage natural language to interact with knowledge graphs : Vertex AI's generative AI capabilities can be used to provide a natural language interface to the knowledge graph.
- Real-time GenAI enrichment: Neo4j databases now have the ability to call Vertex AI services in real-time to enrich knowledge graphs.
- "Businesses are undergoing data- and AI-driven transformations at an unprecedented rate," said Nenshad Bardoliwalla, Director of Product Management for Vertex AI, Google Cloud.
Cloud,
Product management,
Database,
LLM,
Hallucination,
Partnership,
Google Cloud Platform,
Luigi,
Cloud computing,
SAN,
Algorithm,
Google Cloud,
Entrepreneurship,
AI,
API,
Neo4j,
Sales,
Mobile phone SAN MATEO, Calif., June 7, 2023 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, announced a new product integration with Google Cloud's latest generative AI features in Vertex AI, Google's leading large language model (LLM) platform. The result empowers enterprise customers to harness knowledge graphs built on Neo4j's fully managed cloud offerings in Google Cloud Platform for generative AI insights and recommendations that are more accurate, transparent, and explainable.
Key Points:
- The result ensures more accurate, explainable, and transparent outcomes for large language models (LLMs) and other generative AI systems.
- Specific integrations with Google's generative AI capabilities in Vertex AI enable enterprise customers to:
Leverage natural language to interact with knowledge graphs : Vertex AI's generative AI capabilities can be used to provide a natural language interface to the knowledge graph.
- Real-time GenAI enrichment: Neo4j databases now have the ability to call Vertex AI services in real-time to enrich knowledge graphs.
- "Businesses are undergoing data- and AI-driven transformations at an unprecedented rate," said Nenshad Bardoliwalla, Director of Product Management for Vertex AI, Google Cloud.
Cloud,
Graph,
Product management,
Database,
Microsoft Azure SQL Database,
Metadata,
Data analysis,
TB,
Hasb-e-Haal,
Google Cloud Platform,
Microsoft BizTalk Server,
Microsoft,
Research,
Composer,
Organization,
BigQuery,
Xbox,
Publication,
Non-governmental organization,
Machine learning,
SAN,
ARR,
Artificial intelligence,
Entrepreneurship,
Ecosystem,
Magic Quadrant,
Neo4j,
CPO,
Data science,
Management,
Cryptocurrency,
Gartner,
Dataplex SAN MATEO, Calif., April 4, 2023 /PRNewswire/ -- Neo4j®, the graph database and analytics leader, announced today that Sudhir Hasbe has joined the company's executive leadership team as Chief Product Officer (CPO). Hasbe will oversee the company's software portfolio across its native graph database and data science offerings, reporting directly to CEO and Co-Founder Emil Eifrem.
Key Points:
- SAN MATEO, Calif., April 4, 2023 /PRNewswire/ -- Neo4j ®, the graph database and analytics leader, announced today that Sudhir Hasbe has joined the company's executive leadership team as Chief Product Officer (CPO).
- Hasbe previously led Product Management for Google Cloud's Data Analytics Platform which includes industry-leading products like BigQuery , Looker , Dataproc , Dataflow , Pub/Sub , Composer , Data Fusion , and Dataplex .
- Hasbe also led acquisitions of Looker, Dataform, Cask, and CompilerWorks to enhance Google Cloud's Data Analytics offering.
- Hasbe was also an executive sponsor of several of Google Cloud's marquee enterprise customers and ecosystem partners.
Cloud,
Graph,
Product management,
Database,
Microsoft Azure SQL Database,
Metadata,
Data analysis,
TB,
Hasb-e-Haal,
Google Cloud Platform,
Microsoft BizTalk Server,
Microsoft,
Research,
Composer,
Organization,
BigQuery,
Xbox,
Publication,
Non-governmental organization,
Machine learning,
SAN,
ARR,
Artificial intelligence,
Entrepreneurship,
Ecosystem,
Magic Quadrant,
Neo4j,
CPO,
Data science,
Management,
Cryptocurrency,
Gartner,
Dataplex SAN MATEO, Calif., April 4, 2023 /PRNewswire/ -- Neo4j®, the graph database and analytics leader, announced today that Sudhir Hasbe has joined the company's executive leadership team as Chief Product Officer (CPO). Hasbe will oversee the company's software portfolio across its native graph database and data science offerings, reporting directly to CEO and Co-Founder Emil Eifrem.
Key Points:
- SAN MATEO, Calif., April 4, 2023 /PRNewswire/ -- Neo4j ®, the graph database and analytics leader, announced today that Sudhir Hasbe has joined the company's executive leadership team as Chief Product Officer (CPO).
- Hasbe previously led Product Management for Google Cloud's Data Analytics Platform which includes industry-leading products like BigQuery , Looker , Dataproc , Dataflow , Pub/Sub , Composer , Data Fusion , and Dataplex .
- Hasbe also led acquisitions of Looker, Dataform, Cask, and CompilerWorks to enhance Google Cloud's Data Analytics offering.
- Hasbe was also an executive sponsor of several of Google Cloud's marquee enterprise customers and ecosystem partners.
Retrieved on:
Wednesday, March 29, 2023
Cloud,
Knowledge,
Canada,
Enterprise,
Partnership,
SQL,
LLM,
Monsanto,
Airport,
Google Cloud Platform,
ML,
Intelligence,
Research,
Luigi,
Aurad Shahajani,
Movement,
BigQuery,
Publication,
Machine learning,
SAN,
Google Cloud,
Algorithm,
AI,
Magic Quadrant,
Medical imaging,
Gartner,
Neo4j SAN MATEO, Calif., March 29, 2023 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, announced the extension of its strategic partnership with Google Cloud by introducing a new native integration with Google Cloud's BigQuery cloud data warehouse. Users can now extend SQL analysis with graph-native data science and machine learning by working seamlessly between BigQuery and Neo4j Graph Data Science. Neo4j will also integrate within the BigQuery Partner Center, which will allow its customers to seamlessly utilize Neo4j Graph Data Science from within the BigQuery experience.
Key Points:
- Users can now extend SQL analysis with graph-native data science and machine learning by working seamlessly between BigQuery and Neo4j Graph Data Science .
- Neo4j will also integrate within the BigQuery Partner Center, which will allow its customers to seamlessly utilize Neo4j Graph Data Science from within the BigQuery experience.
- Additionally, data engineers can work entirely within BigQuery to build models for deep graph analysis in Neo4j Graph Data Science.
- Google Cloud and Neo4j launched their strategic partnership in 2019 , with Neo4j becoming Google Cloud's first graph database partner.
