Latest news with #Postgres


Hans India
7 hours ago
- Business
- Hans India
Elon Musk's xAI Is Hiring: Roles Open in Payments, AI, Design & Engineering, With Remote Options
Elon Musk's AI venture, xAI, is on an aggressive hiring spree as it expands efforts to build X Money, its in-house digital payments platform integrated with the X app. The company is actively recruiting across multiple domains—including engineering, design, finance, and legal—with several roles open to remote candidates as well. The hiring push includes key positions in Palo Alto, San Francisco, and Memphis, along with full-remote options for select roles. One of the standout opportunities is for a Technical Lead – Payments, a position that reflects xAI's commitment to developing a scalable, secure payments infrastructure from the ground up. The service is expected to support more than 600 million monthly active users on X. According to the job listing, the Technical Lead will help architect this payments system in its early development stages. Ideal candidates should bring at least eight years of backend or systems engineering experience, particularly within fintech or high-scale environments. The role is Bay Area–based, and relocation is expected for in-office roles. Compensation for this lead role ranges between $220,000 and $440,000 annually (roughly ₹1.9 to ₹3.7 crores). xAI notes that it seeks professionals with a deep understanding of distributed systems and secure transactions, excellent communication skills, and the ability to take initiative in a fast-paced startup setting. Bonus points are given for experience in fraud detection, compliance, and tools such as Golang, Kafka, and Postgres. The hiring process is fast-tracked: candidates go through a coding challenge, systems design interview, and a project showcase, followed by a final team interaction. The full cycle is expected to be completed within a week. Another intriguing opening is for an AI Tutor – Finance Specialist, a fully remote role offered in both part-time and full-time capacities. This position centers on labelling and annotating financial data to help train xAI's models. Applicants should hold a Master's or PhD in finance or possess equivalent experience, such as a background as an investment analyst or finance professional.


India Today
11 hours ago
- Business
- India Today
Want to work for Elon Musk? xAI is hiring engineers, coders and designers: Here is how you can apply
Elon Musk's AI company, xAI, is on a hiring spree. From backend engineers and product designers to data scientists and legal experts, the company is currently looking to fill a wide range of roles across offices in Palo Alto, San Francisco, and Memphis. Some positions are also open to remote applicants. One of the job listings is for a Technical Lead, Payments role, signalling that xAI is working actively to develop the company's digital payments platform called X to the listing for Technical Lead for payments, the role involves building a brand-new payments platform that will serve over 600 million monthly users on X. The project is still in its early stages, and xAI is looking for someone with experience in building scalable, secure systems who can take a hands-on leadership role in architecting this infrastructure from per the listing, the ideal candidate should have over eight years of backend or systems engineering experience, especially within fintech or high-scale platforms. The job will be based out of Palo Alto, and applicants are expected to either be located in or relocate to the Bay Area. The compensation for this role ranges between $220,000 (which is close to Rs 1.9 crores) and $440,000 per year (which is about Rs 3.7 crores). advertisement xAI says that in addition to strong technical knowledge in areas like distributed systems and secure transactions, the company values engineers who can clearly communicate complex ideas, take initiative, and thrive in fast-paced environments. Experience in fraud detection, compliance frameworks, or working with tools like Golang, Kafka, and Postgres would be considered a hiring process for most of these roles is fast-tracked: after the initial screening, candidates are required to complete a coding challenge, take part in a systems design discussion, and present a past project. A final round includes a meet-and-greet with the wider team, with the entire process expected to be wrapped up in about a focus on payments comes as Elon Musk prepares for the rollout of X Money, which is a native payments service built into the X app. Musk has said that the service will go into limited beta testing soon, and the company aims to launch it publicly in 2025. The broader vision is to turn X into an 'everything app,' with features that go beyond social media, enabling users to send and receive money, pay for services, and manage finances, all in one place. Another job opening that stands out is for an AI Tutor - Finance Specialist, which is fully remote and available in both part-time and full-time formats. This role involves labelling and annotating financial data to help train xAI's models. Applicants must have a Master's or PhD in a finance-related field or equivalent experience as an investment analyst or finance for the AI Tutor role will also need excellent research skills, a strong grasp of English writing, and the ability to work independently with complex financial content. The job involves using proprietary software and occasionally recording audio or video content to help teach the AI how people communicate and reason in financial pay ranges between $35 (about Rs 3,000) and $65 (Rs 5,500 approximately) per hour depending on experience and qualifications. While it is a remote position, xAI notes that applicants must not reside in Illinois or listings suggest that xAI is building a highly specialised team, not just of AI researchers, but of domain experts who can help guide the models with accurate, real-world knowledge. Other available positions include roles for software engineers focused on fraud, mobile app development, backend systems, as well as positions in operations, facilities, legal, and interested in applying can view the full list of open roles via xAI's official jobs page. Each listing includes detailed information about responsibilities, preferred qualifications, and compensation.- Ends

Business Upturn
17-06-2025
- Business
- Business Upturn
EDB Postgres® AI Accelerates New Era of Sovereign Data and AI for Enterprises, Industries, and Nations
By Business Wire India Published on June 17, 2025, 16:47 IST Singapore: The first secure Postgres platform that unifies transactional, analytical, and AI—democratizing agentic AI across hybrid environments through an easy-to-use interface The first secure Postgres platform that unifies transactional, analytical, and AI—democratizing agentic AI across hybrid environments through an easy-to-use interfaceEDB introduces new capabilities to the industry's first Postgres-based data and AI platform, allowing enterprises to easily manage, observe, and democratize the use of agentic AI within a sovereign setting. Only 13% of enterprises globally have successfully deployed a broad set of agentic AI applications at scale, according to EDB research (May 2025). These early leaders are seeing dramatically better returns—up to 227% higher ROI than the remaining 87%, and 23% better ROI than the next-best group—so this launch is essential for businesses who want to come out on top in the AI race. EDB Postgres AI transforms core operational data into an AI-ready asset, with just five lines of code to set up an AI pipeline that automatically syncs embeddings with source data, taking AI from concept to production 3x faster while cutting costs by 50%. EnterpriseDB (EDB), the leading Postgres data and AI company, today announced new innovations to the EDB Postgres AI (EDB PG AI) platform designed to help enterprises deploy and scale AI securely and compliantly across their Postgres environments, whether in clouds or on-premises. The platform streamlines operations at scale, integrates easily with existing data ecosystems, and centralizes hybrid management and observability in a single AI-ready control plane for the emerging era of agentic AI. See the demonstrations and configure your sovereign AI and platform at EDB PG AI is a unified platform with an easy-to-use interface for managing transactional, analytical, and AI workloads. As the industry's first Postgres-based sovereign data and AI platform, it unifies relational and non-relational data in a single system, featuring automatic pipelines and built-in development tools that seamlessly automate and operationalize data for AI. 'In this AI-first, sovereign-first world, C-suite executives in every geo point to a single, urgent need: a secure, open source, sovereign data and AI platform that gives them full control over how and where they build their AI future. True data and AI sovereignty means we are giving enterprises the freedom to choose—hybrid, with unique engineered systems, software, and cloud offerings—while also ensuring that they have the security and control they need,' said Kevin Dallas, CEO, EDB. Only 13% of enterprises globally have successfully deployed a broad set of agentic AI applications at scale, according to EDB research (May 2025). These early leaders are seeing dramatically better returns—up to 227% higher ROI than the remaining 87% and 23% better ROI than the next-best group. 'Globally, customers are increasingly turning to tested, optimized, and scalable architecture to more effectively implement open source AI at the enterprise level. To help meet this need, Red Hat collaborates through a robust partner ecosystem, including EDB, to help empower organizations with the solutions, services, and support they need to drive successful business outcomes with AI. Using EDB Postgres AI with Red Hat OpenShift AI, organizations can benefit from a more consistent platform for sovereign control of a company's data and its own AI models,' said Stefanie Chiras, senior vice president, Partner Ecosystem Success, Red Hat. The EDB PG AI platform introduces two new core capabilities that enable secure, scalable, and hybrid-ready agentic AI, bringing production-grade performance mainstream for enterprises across their Postgres estates: Low-code/no-code simplicity: AI pipeline creation in days, not months Developers and business users can easily build intelligent applications using a simple point-and-click interface and low-code software development kit (SDK)—transforming GenAI projects from concept to production in days instead of months within a pre-integrated platform. In just five lines of code, users can set up an AI pipeline that automatically syncs embeddings with source data, ensuring an always-up-to-date AI knowledge base without costly infrastructure maintenance. NVIDIA accelerated computing delivers the processing performance required for this new compute paradigm, while NVIDIA NIM microservices enable enterprises to run AI models locally and protect their data with sovereign AI. EDB Postgres AI integrates NVIDIA NeMo Retriever extraction, embedding and re-ranking microservices to ingest and process multimodal enterprise data, along with a catalog of NIM microservices to facilitate AI model extension. Together, these capabilities help enterprises operationalize their AI—securely, at scale, and on their infrastructure of choice. Sovereign hybrid Postgres data estate management and observability Hybrid management delivers comprehensive visibility across the entire Postgres estate, empowering developers and operators with real-time insights across hundreds of databases through an intuitive interface. With 200+ built-in metrics and intelligent recommendations, teams can identify and resolve issues 5x faster, boost application performance by up to 8x, and optimize infrastructure—no DBA expertise required. Anyone can optimize performance and manage large estates with ease, boosting productivity by up to 30% while cutting TCO up to 6x compared to legacy systems. 'The EDB Postgres AI engineered solution leverages several of Supermicro's strengths, including our portfolio of data center building block systems, experience in developing and delivering rack-scale AI solutions, and our experience in supporting OEM customers like EnterpriseDB,' said Cenly Chen, chief growth officer, senior vice president, and managing director, Supermicro B.V. 'This unified solution offers full hybrid capabilities and helps customers build sovereign, scalable, and compliant data and AI systems, giving enterprises the control and near-instant access to data needed for Gen AI.' Explore the comprehensive library of benchmarks here. Additional platform enhancements include: Data security at all layers with Transparent Data Encryption (TDE), supply chain security, and hardened container images from Iron Bank. Advanced security features include role-based access control with fine-grained permissions down to row level, robust audit logging for real-time threat detection, and data redaction to limit sensitive information exposure—ensuring compliance with evolving regulations including PCI DSS and SOC 2. with Transparent Data Encryption (TDE), supply chain security, and hardened container images from Iron Bank. Advanced security features include role-based access control with fine-grained permissions down to row level, robust audit logging for real-time threat detection, and data redaction to limit sensitive information exposure—ensuring compliance with evolving regulations including PCI DSS and SOC 2. Purpose-built PG AI Analytics Engine scales independently from storage and is optimized for columnar formats such as Iceberg and Delta tables, driving high performance queries across Postgres and the lakehouse ecosystem. Enterprises can unlock insights 30x faster than standard Postgres by using fresh operational data, breaking down silos, and eliminating ETL pipelines. Intelligent tiering offloads cold transactional data to storage that is up to 18x more cost efficient . scales independently from storage and is optimized for columnar formats such as Iceberg and Delta tables, driving high performance queries across Postgres and the lakehouse ecosystem. Enterprises can unlock insights by using fresh operational data, breaking down silos, and eliminating ETL pipelines. Intelligent tiering offloads cold transactional data to storage that is up to . A universal, secure data store supports all types of data models—SQL, vector, JSON, time-series, key-value, and more—for building applications with structured, semi-structured, and unstructured data types. Tiered storage and a query engine unify Postgres with scalable analytics tables in object storage. EDB PG AI delivers optimized read/write performance that scales seamlessly from high-concurrency transactions to complex analytical and vector queries, all within a hybrid, sovereign architecture. Proven performance advantages include: 6x better TCO and 30% faster transactional performance than SQL Server Up to 150x faster NoSQL performance vs. MongoDB Up to 4x faster NoSQL performance vs. MySQL supports all types of data models—SQL, vector, JSON, time-series, key-value, and more—for building applications with structured, semi-structured, and unstructured data types. Tiered storage and a query engine unify Postgres with scalable analytics tables in object storage. EDB PG AI delivers optimized read/write performance that scales seamlessly from high-concurrency transactions to complex analytical and vector queries, all within a hybrid, sovereign architecture. Proven performance advantages include: 'McKnight Consulting Group compared the integrated EDB Postgres AI platform against a usual DIY approach using AWS. Across all the eight critical components of an enterprise AI factory, EDB Postgres AI reduced overall complexity by 67%, delivered a 3x faster design-to-delivery capability (from seven months to nine weeks), and a 38% reduction in maintenance complexity and costs,' said William McKnight, president, McKnight Consulting Group. EDB PG AI represents a turning point for enterprises seeking to harness the full power of their data in the agentic AI era. To witness how your enterprise can accelerate AI initiatives with confidence while maintaining complete control of data assets, configure your own sovereign and AI platform at About EDB EDB Postgres® AI (EDB PG AI) is the first open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, on-premises and across clouds. Built on Postgres, the world's leading database, EDB PG AI unifies transactional, analytical, and AI workloads, enabling organizations to operationalize their data and LLMs while maintaining control over sovereign environments. EDB PG AI is supported by a global partner network and delivers up to 99.999% availability as well as hybrid management and a built-in AI factory. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global community. To learn more, visit EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners. View source version on Disclaimer: The above press release comes to you under an arrangement with Business Wire. Business Upturn takes no editorial responsibility for the same. Ahmedabad Plane Crash Business Wire India, established in 2002, India's premier media distribution company ensures guaranteed media coverage through its network of 30+ cities and top news agencies.

National Post
17-06-2025
- Business
- National Post
EDB Postgres® AI Accelerates New Era of Sovereign Data and AI for Enterprises, Industries, and Nations
Article content The first secure Postgres platform that unifies transactional, analytical, and AI—democratizing agentic AI across hybrid environments through an easy-to-use interface Article content EDB introduces new capabilities to the industry's first Postgres-based data and AI platform, allowing enterprises to easily manage, observe, and democratize the use of agentic AI within a sovereign setting. Only 13% of enterprises globally have successfully deployed a broad set of agentic AI applications at scale, according to EDB research (May 2025). These early leaders are seeing dramatically better returns—up to 227% higher ROI than the remaining 87%, and 23% better ROI than the next-best group—so this launch is essential for businesses who want to come out on top in the AI race. EDB Postgres AI transforms core operational data into an AI-ready asset, with just five lines of code to set up an AI pipeline that automatically syncs embeddings with source data, taking AI from concept to production 3x faster while cutting costs by 50%. Article content EnterpriseDB (EDB), the leading Postgres data and AI company, today announced new innovations to the EDB Postgres AI (EDB PG AI) platform designed to help enterprises deploy and scale AI securely and compliantly across their Postgres environments, whether in clouds or on-premises. The platform streamlines operations at scale, integrates easily with existing data ecosystems, and centralizes hybrid management and observability in a single AI-ready control plane for the emerging era of agentic AI. See the demonstrations and configure your sovereign AI and platform at Article content EDB PG AI is a unified platform with an easy-to-use interface for managing transactional, analytical, and AI workloads. As the industry's first Postgres-based sovereign data and AI platform, it unifies relational and non-relational data in a single system, featuring automatic pipelines and built-in development tools that seamlessly automate and operationalize data for AI. Article content 'In this AI-first, sovereign-first world, C-suite executives in every geo point to a single, urgent need: a secure, open source, sovereign data and AI platform that gives them full control over how and where they build their AI future. True data and AI sovereignty means we are giving enterprises the freedom to choose—hybrid, with unique engineered systems, software, and cloud offerings—while also ensuring that they have the security and control they need,' said Kevin Dallas, CEO, EDB. Article content Only 13% of enterprises globally have successfully deployed a broad set of agentic AI applications at scale, according to EDB research (May 2025). These early leaders are seeing dramatically better returns—up to 227% higher ROI than the remaining 87% and 23% better ROI than the next-best group. Article content 'Globally, customers are increasingly turning to tested, optimized, and scalable architecture to more effectively implement open source AI at the enterprise level. To help meet this need, Red Hat collaborates through a robust partner ecosystem, including EDB, to help empower organizations with the solutions, services, and support they need to drive successful business outcomes with AI. Using EDB Postgres AI with Red Hat OpenShift AI, organizations can benefit from a more consistent platform for sovereign control of a company's data and its own AI models,' said Stefanie Chiras, senior vice president, Partner Ecosystem Success, Red Hat. The EDB PG AI platform introduces two new core capabilities that enable secure, scalable, and hybrid-ready agentic AI, bringing production-grade performance mainstream for enterprises across their Postgres estates: Article content Low-code/no-code simplicity: AI pipeline creation in days, not months Developers and business users can easily build intelligent applications using a simple point-and-click interface and low-code software development kit (SDK)—transforming GenAI projects from concept to production in days instead of months within a pre-integrated platform. In just five lines of code, users can set up an AI pipeline that automatically syncs embeddings with source data, ensuring an always-up-to-date AI knowledge base without costly infrastructure maintenance. NVIDIA accelerated computing delivers the processing performance required for this new compute paradigm, while NVIDIA NIM microservices enable enterprises to run AI models locally and protect their data with sovereign AI. EDB Postgres AI integrates NVIDIA NeMo Retriever extraction, embedding and re-ranking microservices to ingest and process multimodal enterprise data, along with a catalog of NIM microservices to facilitate AI model extension. Together, these capabilities help enterprises operationalize their AI—securely, at scale, and on their infrastructure of choice. Sovereign hybrid Postgres data estate management and observability Hybrid management delivers comprehensive visibility across the entire Postgres estate, empowering developers and operators with real-time insights across hundreds of databases through an intuitive interface. With 200+ built-in metrics and intelligent recommendations, teams can identify and resolve issues 5x faster, boost application performance by up to 8x, and optimize infrastructure—no DBA expertise required. Anyone can optimize performance and manage large estates with ease, boosting productivity by up to 30% while cutting TCO up to 6x compared to legacy systems. Article content 'The EDB Postgres AI engineered solution leverages several of Supermicro's strengths, including our Article content portfolio of data center building block systems, experience in developing and delivering rack-scale AI Article content solutions, and our experience in supporting OEM customers like EnterpriseDB,' said Cenly Chen, chief Article content growth officer, senior vice president, and managing director, Supermicro B.V. 'This unified solution offers full hybrid capabilities and helps customers build sovereign, scalable, and compliant data and AI Article content systems, giving enterprises the control and near-instant access to data needed for Gen AI.' Article content Explore the comprehensive library of benchmarks here. Additional platform enhancements include: Article content Data security at all layers with Transparent Data Encryption (TDE), supply chain security, and hardened container images from Iron Bank. Advanced security features include role-based access control with fine-grained permissions down to row level, robust audit logging for real-time threat detection, and data redaction to limit sensitive information exposure—ensuring compliance with evolving regulations including PCI DSS and SOC 2. Purpose-built PG AI Analytics Engine scales independently from storage and is optimized for columnar formats such as Iceberg and Delta tables, driving high performance queries across Postgres and the lakehouse ecosystem. Enterprises can unlock insights 30x faster than standard Postgres by using fresh operational data, breaking down silos, and eliminating ETL pipelines. Intelligent tiering offloads cold transactional data to storage that is up to 18x more cost efficient. A universal, secure data store supports all types of data models—SQL, vector, JSON, time-series, key-value, and more—for building applications with structured, semi-structured, and unstructured data types. Tiered storage and a query engine unify Postgres with scalable analytics tables in object storage. EDB PG AI delivers optimized read/write performance that scales seamlessly from high-concurrency transactions to complex analytical and vector queries, all within a hybrid, sovereign architecture. Proven performance advantages include: 6x better TCO and 30% faster transactional performance than SQL Server Up to 150x faster NoSQL performance vs. MongoDB Up to 4x faster NoSQL performance vs. MySQL Article content 'McKnight Consulting Group compared the integrated EDB Postgres AI platform against a usual DIY approach using AWS. Across all the eight critical components of an enterprise AI factory, EDB Postgres AI reduced overall complexity by 67%, delivered a 3x faster design-to-delivery capability (from seven months to nine weeks), and a 38% reduction in maintenance complexity and costs,' said William McKnight, president, McKnight Consulting Group. Article content EDB PG AI represents a turning point for enterprises seeking to harness the full power of their data in the agentic AI era. To witness how your enterprise can accelerate AI initiatives with confidence while maintaining complete control of data assets, configure your own sovereign and AI platform at Article content EDB Postgres® AI (EDB PG AI) is the first open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, on-premises and across clouds. Built on Postgres, the world's leading database, EDB PG AI unifies transactional, analytical, and AI workloads, enabling organizations to operationalize their data and LLMs while maintaining control over sovereign environments. EDB PG AI is supported by a global partner network and delivers up to 99.999% availability as well as hybrid management and a built-in AI factory. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global community. To learn more, visit Article content Article content Article content Article content Article content Contacts Article content Media Contact: Article content Article content Will Clark Article content Article content Article content Article content
Yahoo
13-06-2025
- Business
- Yahoo
Citi Reiterates Buy on Snowflake (SNOW) as Cortex AI Gains Traction
Snowflake Inc. (NYSE:) is one of the One of the biggest analyst calls on Wednesday, June 11, was for Snowflake. Citi reiterated the stock as 'Buy' with an associated price target of $245.00. The firm said it is sticking with the stock following an investor day. Snowflake is experiencing strong momentum owing to its new products, particularly Cortex AI. Cortex AI is a suite of AI features using large language models (LLMs) to offer intelligent assistance to customers. Customers are particularly excited about the accelerated product development under CEO Sridhar Ramaswamy and the readiness of enterprises to deploy generative artificial intelligence applications. Customers have also resonated well with the company's strategy to avoid vendor lock-in, thereby resulting in widespread adoption of the Cortex AI for tasks such as fraud detection and process automation. This has, in turn, led to reduced operational overheads. The firm also talked about the adoption of Apache Iceberg and the Polaris Catalog across various industries, reflecting on the increasing demand for vendor-neutral data management solutions. Crunchy Data's recent acquisition further strengthens Snowflake's position by enhancing support for Postgres. This, in turn, aligns with its strategy to provide open operational and analytical workloads for AI. 'In general, customer enthusiasm was high around Snowflake's new products.' Snowflake Inc. (NYSE:SNOW) is a cloud-based data storage company providing a data analysis, storage, and sharing platform. While we acknowledge the potential of SNOW as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and Disclosure: None.