News

More in News

• TCS opens India's first Oracle AI Data Platform Lab in Kolkata

  Tata Consultancy Services (TCS) has launched India's first Oracle AI Data Platform Lab and Center of Excellence (CoE) in Kolkata, expanding its collaboration with Oracle. This facility aims to help enterprises address challenges in AI adoption, including fragmented data systems and scalability constraints, by leveraging Oracle Cloud Infrastructure and AI capabilities.

  

• Analysts use Python, SQL for 1M row data cleaning

  Data analysts are employing a combined approach of Python and SQL to efficiently clean and manage datasets containing up to one million rows. This method addresses challenges like system crashes and slow processing, ensuring data accuracy for reporting. It allows for optimized data handling without overloading local machine memory.

  

• OpenAI Acquires Ona to Enhance Codex AI Agent Deployment

  OpenAI is set to acquire Ona, a cloud execution firm, to bolster its Codex platform. This acquisition is expected to enable AI agents to execute complex, long-term tasks securely in cloud environments, facilitating enterprise AI deployment in production.

  

• Zoho unveils Nathu La: Indigenous AI server for LLM workloads

  Zoho has launched Nathu La, its first indigenously designed enterprise-grade AI server platform, developed in India to optimise performance and reduce costs for Large Language Model (LLM) workloads. This initiative aims to enhance Zoho's operational efficiency by owning its technology stack from hardware to applications.

  

• AI expected to create jobs; Indian engineers urged to collaborate

  Microsoft India's Rajiv Kumar emphasizes that AI will generate more job opportunities than it displaces. He highlights the need for continuous learning and skills adaptation among engineers to meet evolving industry demands.

  

• SonarSweep enhances AI training data quality, cuts bugs by 41%

  Sonar has introduced SonarSweep to filter flawed AI training data, resulting in a 41% reduction in bugs and security vulnerabilities in generated code. This advancement is crucial for enterprises relying on AI for software development.

  

• lakeFS launches AI data service for autonomous workloads

  lakeFS has introduced its lakeFS for Agentic AI service, aimed at automating data governance for autonomous AI workloads. This service provides isolated sandboxes and audit trails to enhance data management and security.

  

• Scaling UI systems for internal tools at Meta

  Meta's frontend engineer Cindy Zhang details the development of a unified UI design system for internal tools, now supporting over 10,000 tools. This initiative enhances efficiency and user experience across the company.

  

• Docker networking pitfalls in production environments

  Docker's default networking settings can pose risks in production. Teams must adopt user-defined networks and proper segmentation to enhance security and functionality.

  

• Twelve strategies for security teams to manage AI applications

  Security teams face challenges in securing AI applications in production. Implementing effective strategies can enhance operational security and resilience.

  

• Ramp introduces AI solutions with embedded engineers for finance teams

  Ramp has launched Applied AI Solutions, embedding engineers within finance teams to develop AI agents. This move aims to bridge the gap between AI ambitions and actual results in enterprise finance.