Latest news with #GenAI-led
Mint
22-05-2025
- Business
- Mint
360 ONE Asset launches ₹500 crore early-stage fund to back startups
Mumbai: 360 ONE Asset, a wholly owned subsidiary of 360 ONE WAM, has launched an early-stage fund with a corpus of ₹500 crore to back seed and Series A startups across key sectors, a top executive said. With cheque sizes ranging from ₹10–25 crore, the fund will aim for meaningful ownership in about 25 companies, focusing on areas such as domestic consumption, frontier technology, financial services infrastructure, and generative artificial intelligence (GenAI)-led services. Read this | GrowX reaps a bonanza from space-tech firm Pixxel 'The stage that we will come at will be the first institutional round in a company that is beginning to see strong and early signs of a product market fit. With this fund, we aim to bridge the funding gap between the very early stages and the growth stage options that are available in the market," Abhishek Nag, strategy head of early-stage VC at 360 ONE Asset, told Mint in an interview. While older venture capital funds have become larger and are targeting relatively later stages, the early-stage end of the spectrum now has a robust pool of micro venture capital firms, solo general partners (GPs), and angel investors issuing pre-seed cheques. 'Our focus is the stage in the middle where we hope to build a high conviction, concentrated portfolio of companies that have a reasonable product market fit with good fundamentals in place," Nag said, adding that the fund will also offer co-investment opportunities for strategic partners alongside leading rounds. On sectoral focus, Nag said there are multiple strong tailwinds in consumption. 'With the rise of GenZ and mass affluent and per capita income increasing, discretionary spends are also on the rise. There is scope for multiple global consumer brands that can come from India." Read this | VC fundraising wave gains as dealmaking rebounds, but caution prevails 'We are also spending a lot of time understanding defence, space, semiconductor and precision manufacturing industries. There is also a lot to do in building strong global supply chains," Nag said. Other sectors such as financial services remain underpenetrated, while GenAI-led services are expected to disrupt traditional services companies, he added. The fund has already made four investments across sectors such as gaming, consumer, SaaS, and space-tech, though it did not disclose specific names. 360 ONE Asset, which manages more than $3 billion in assets across its venture capital and private equity platform, has launched several other funds in recent months, including a ₹4,000 crore secondaries fund, a pre-IPO fund, a healthcare-focused private equity fund, and sector-specific funds targeting financial services and technology. It also expects to launch a consumer-focused fund soon. Also read | Mint Explainer: How can collapse impact AI investments in India? 'We have launched these funds as we believe there is a lot of depth in the kind of opportunities we are seeing today. There is immense scope for good returns as exit strategies evolve for new-age companies. We also have the ability to offer expertise, and another way to think about the depth in the market is to have the right size of funds chasing those companies," Nag said, adding that the firm can support startups from the idea stage all the way to IPO.
Business Standard
15-05-2025
- Business
- Business Standard
HCL Technologies collaborates with Microsoft
To enable an AI-powered near-zero disruption approach to RISE with SAP S/4HANA migrations HCL Technologies (HCLTech) and Microsoft announced that they are collaborating to enable global enterprises to accelerate RISE with SAP S/4HANA migrations on the Microsoft Cloud through a transformative, AI-led, business-value-first approach. This collaboration brings together HCLTech's GenAI-led service transformation platform, AI Force, the Microsoft Cloud and AI Tools and Solutions and the HCLTech SAP Migration+ model. This will enable an AI-powered near-zero disruption approach to RISE with SAP S/4HANA migrations that significantly reduces transformation complexity, time and total cost of ownership. It will empower enterprises with a business-first transformation roadmapenabling them to quantify ROI, uncover AI-driven innovation opportunities and prioritize high-impact value creation. Together, HCLTech and Microsoft are addressing a critical market gap by offering: AI-led SAP assessments to help enterprises realize a compelling business outcome for RISE with S/4HANA adoption. A business-first transformation roadmap that enables clients to effectively prioritize ROI, uncover AI-infused innovation opportunities and focus on value creation. An AI-powered SAP Migration+ model that streamlines execution, minimizes risk and embeds intelligence into operations from day one.
Business Upturn
15-05-2025
- Business
- Business Upturn
HCLTech and Microsoft partner to accelerate RISE with SAP S/4HANA Migrations on Microsoft Cloud
HCLTech and Microsoft have announced a collaboration aimed at supporting global enterprises in migrating to RISE with SAP S/4HANA on the Microsoft Cloud. This partnership focuses on streamlining the migration process through a practical, AI-driven approach that emphasizes business value. The joint effort combines HCLTech's GenAI-led service transformation platform, AI Force, with Microsoft's cloud infrastructure and AI tools, along with HCLTech's SAP Migration+ model. The goal is to reduce the complexity, time, and cost associated with transitioning to SAP S/4HANA, while minimizing operational disruptions. By leveraging artificial intelligence throughout the migration journey, enterprises can follow a structured, business-oriented transformation roadmap. This approach helps organizations assess the return on investment, identify areas for innovation using AI, and align transformation efforts with measurable business outcomes. The collaboration also includes AI-driven SAP assessments to support strategic decision-making. These assessments help enterprises understand the potential value of adopting RISE with SAP S/4HANA and develop a prioritized plan based on clear business objectives. Through this initiative, HCLTech and Microsoft aim to fill a market need for intelligent, outcome-focused migration solutions. Their joint offering enables businesses to modernize core systems with greater efficiency and reduced risk, laying a foundation for long-term operational agility and innovation. Aman Shukla is a post-graduate in mass communication . A media enthusiast who has a strong hold on communication ,content writing and copy writing. Aman is currently working as journalist at
Business Standard
07-05-2025
- Automotive
- Business Standard
Tredence Partners with Snowflake to Launch AI-Powered Automotive Manufacturing and Supply Chain Solutions
PRNewswire San Jose (California) [US]/ Bengaluru (Karnataka) [India], May 7: Tredence, a global data science and AI solutions company, today announced a collaboration with Snowflake to advance the AI Data Cloud for Manufacturing through tailored automotive solutions. This collaboration combines Tredence's deep industry expertise with Snowflake's scalable data cloud platform to help OEMs, suppliers, dealers, and fleet operators modernize legacy systems, unify operational and IT data, and deliver AI-driven insights at scale. The collaboration enables a unified, modern data architecture that bridges OT and IT, delivering real-time visibility, predictive analytics, and operational efficiency -- all built on Snowflake's secure and high-performance AI Data Cloud. * A unified platform to help OEMs and fleet operators modernize with real-time data, GenAI, and supply chain insights "Automotive companies are sitting on years of OT and IT data, but it's locked in systems that don't talk to each other and can't keep up with real-time demands," said Rakesh Sancheti, Chief Growth Officer and Chief Business Officer - Industrial Manufacturing, Tredence. "Our AI-driven smart manufacturing and supply chain solutions, along with GenAI-led migration accelerators, unify OT and IT data to drive actionable insights. Powered by Snowflake's scalable AI and data cloud platform, our solutions help customers unlock measurable business value." Tredence's offering includes two components: 1. AI-Powered Smart Manufacturing & Supply Chain Command Center 1. Unified Data Foundation: 400+ pre-built, domain-specific KPIs across sales, procurement, planning, manufacturing, warehousing, transportation, and sustainability. 2. Digital Accelerators: White-box AI models built natively in Snowflake to power predictive maintenance, energy efficiency, quality optimization, and yield improvement. 3. Industry 4.0 Command Center: A real-time 360-degree view of manufacturing and supply chain operations, offering predictive insights and contextual decision support. 2. GenAI-Powered Migration Accelerators 1. Modernization Toolkit: Tools to accelerate migration from platforms like SAP BW/HANA to Snowflake with reduced manual effort. 2. Frameworks and Converters: Includes disposition logic for legacy objects, automated code conversion, and an LLM-powered SQL optimizer for performance-tuned modernization. With this collaboration, joint customers can: * Unify Automotive Lifecycle Data: Break down silos across design, production, connected vehicles, service, and warranty systems. * Scale Connected Vehicle Insights: Efficiently manage sensor and video data using Snowflake's performant, decoupled architecture. * Create New Revenue Streams: Securely share and monetize data products via Snowflake Marketplace. * Enable AI-Powered Decision-Making: Use AI/ML to improve product quality, predictive maintenance, and customer engagement. * Improve Supply Chain Agility: Access real-time supplier and logistics data to reduce disruption and optimize inventory. "In today's automotive landscape, manufacturers are facing a critical challenge: transforming vast amounts of siloed operational and IT data into actionable intelligence," said Tim Long, Global Head of Manufacturing, Snowflake. "By combining Tredence's AI expertise with Snowflake's robust data cloud infrastructure, we're helping automotive leaders break down these data barriers and accelerate their digital transformation. Through this launch, joint customers benefit from near real-time decision-making and predictive capabilities that drive tangible business outcomes across the entire automotive value chain." To learn more about Snowflake's AI Data Cloud for Manufacturing and its new automotive solutions, visit here. About Tredence Tredence is a global data science and AI solutions provider focused on solving the last-mile problem in AI - the gap between insight creation and value realization. Tredence leverages deep domain expertise, data platforms and accelerators, and strategic partnerships to provide targeted, impactful solutions to its clients. The company has 3,500+ employees across San Francisco Bay Area, Chicago, London, Toronto, and Bengaluru, serving top brands in Retail, CPG, Hi-tech, Telecom, Healthcare, Travel, and Industrials. For more information, visit and follow us on LinkedIn.
Business Upturn
06-05-2025
- Automotive
- Business Upturn
Tredence Partners with Snowflake to Launch AI-Powered Automotive Manufacturing and Supply Chain Solutions
By PR Newswire Published on May 6, 2025, 20:00 IST A unified platform to help OEMs and fleet operators modernize with real-time data, GenAI, and supply chain insights SAN JOSE, Calif. and BENGALURU, India , May 6, 2025 /PRNewswire/ — Tredence, a global data science and AI solutions company, today announced a collaboration with Snowflake to advance the AI Data Cloud for Manufacturing through tailored automotive solutions. This collaboration combines Tredence's deep industry expertise with Snowflake's scalable data cloud platform to help OEMs, suppliers, dealers, and fleet operators modernize legacy systems, unify operational and IT data, and deliver AI-driven insights at scale. The collaboration enables a unified, modern data architecture that bridges OT and IT, delivering real-time visibility, predictive analytics, and operational efficiency — all built on Snowflake's secure and high-performance AI Data Cloud. 'Automotive companies are sitting on years of OT and IT data, but it's locked in systems that don't talk to each other and can't keep up with real-time demands,' said Rakesh Sancheti , Chief Growth Officer and Chief Business Officer – Industrial Manufacturing, Tredence. 'Our AI-driven smart manufacturing and supply chain solutions, along with GenAI-led migration accelerators, unify OT and IT data to drive actionable insights. Powered by Snowflake's scalable AI and data cloud platform, our solutions help customers unlock measurable business value.' Tredence's offering includes two components: AI-Powered Smart Manufacturing & Supply Chain Command Center Unified Data Foundation: 400+ pre-built, domain-specific KPIs across sales, procurement, planning, manufacturing, warehousing, transportation, and sustainability. Digital Accelerators: White-box AI models built natively in Snowflake to power predictive maintenance, energy efficiency, quality optimization, and yield improvement. Industry 4.0 Command Center: A real-time 360-degree view of manufacturing and supply chain operations, offering predictive insights and contextual decision support. GenAI-Powered Migration Accelerators Modernization Toolkit: Tools to accelerate migration from platforms like SAP BW/HANA to Snowflake with reduced manual effort. Frameworks and Converters: Includes disposition logic for legacy objects, automated code conversion, and an LLM-powered SQL optimizer for performance-tuned modernization. With this collaboration, joint customers can: Unify Automotive Lifecycle Data: Break down silos across design, production, connected vehicles, service, and warranty systems. Break down silos across design, production, connected vehicles, service, and warranty systems. Scale Connected Vehicle Insights: Efficiently manage sensor and video data using Snowflake's performant, decoupled architecture. Efficiently manage sensor and video data using Snowflake's performant, decoupled architecture. Create New Revenue Streams: Securely share and monetize data products via Snowflake Marketplace. Securely share and monetize data products via Snowflake Marketplace. Enable AI-Powered Decision-Making: Use AI/ML to improve product quality, predictive maintenance, and customer engagement. Use AI/ML to improve product quality, predictive maintenance, and customer engagement. Improve Supply Chain Agility: Access real-time supplier and logistics data to reduce disruption and optimize inventory. 'In today's automotive landscape, manufacturers are facing a critical challenge: transforming vast amounts of siloed operational and IT data into actionable intelligence,' said Tim Long , Global Head of Manufacturing, Snowflake. 'By combining Tredence's AI expertise with Snowflake's robust data cloud infrastructure, we're helping automotive leaders break down these data barriers and accelerate their digital transformation. Through this launch, joint customers benefit from near real-time decision-making and predictive capabilities that drive tangible business outcomes across the entire automotive value chain.' To learn more about Snowflake's AI Data Cloud for Manufacturing and its new automotive solutions, visit here. About Tredence Tredence is a global data science and AI solutions provider focused on solving the last-mile problem in AI – the gap between insight creation and value realization. Tredence leverages deep domain expertise, data platforms and accelerators, and strategic partnerships to provide targeted, impactful solutions to its clients. The company has 3,500+ employees across San Francisco Bay Area , Chicago , London , Toronto , and Bengaluru, serving top brands in Retail, CPG, Hi-tech, Telecom, Healthcare, Travel, and Industrials. For more information, visit and follow us on LinkedIn. Logo: View original content: Disclaimer: The above press release comes to you under an arrangement with PR Newswire. Business Upturn takes no editorial responsibility for the same. PR Newswire is a distributor of press releases headquartered in New York City.
