Latest news with #datainfrastructure
Yahoo
a day ago
- Business
- Yahoo
Quantiphi, Snowflake Accelerate Chalo's AI-Driven Data Modernization for Public Transport Transformation
MARLBOROUGH, Mass., July 30, 2025 /PRNewswire/ -- Quantiphi, an AI-first digital engineering company and an Elite Tier partner of Snowflake, the AI Data Cloud company, today announced that India's leading public transport technology company, Chalo, has leveraged Snowflake and Quantiphi to modernize its data infrastructure, helping improve Chalo's efficiency, reduce operational costs and scale its rapidly growing data ecosystem. Chalo, which handles more than 4 billion passenger rides and operations annually in 67 Indian cities and 23 international cities across the Philippines, Peru and Fiji, is at the forefront of digitizing public transport through innovations like live bus tracking, mobile ticketing and smart travel cards platform along with various backend IT systems to the operators. Due to its expanding footprint and insufficient unified data strategy, the company previously faced challenges like performance bottlenecks, high operational costs and reduced scalability. Quantiphi Executive Sponsor, Snowflake Alliance and Global Head of Financial Services and Insurance Bhaskar Kalita said Quantiphi helped Chalo navigate these challenges by migrating its data to Snowflake's AI Data Cloud and leveraging Codeaira—Quantiphi's generative AI-powered developer's agent, to accelerate the data migration process and achieve full operational readiness ahead of schedule. "By combining our expertise with Snowflake's powerful data platform we helped Chalo build a scalable and efficient data ecosystem to support its rapid expansion," Kalita said. "This collaboration showcases how strategic partnerships can drive innovation, transform industries and create smarter businesses for the future." "We needed a robust data engineering platform and as the first to leverage Quantiphi's Gen AI accelerator, Codeaira, we achieved nearly 50 percent faster migration," Chalo AVP of Platform Atmesh Mishra said. "In just two months, we were live and fully functional on the new platform, delivering greater value to our customers." With the migration to Snowflake, Chalo can now monitor its internal metrics and send alerts to passengers in case of delays or anomalies in operations. This has helped Chalo increase operational efficiency by optimizing routes, managing demand forecasting and personalizing user experiences. "Our collaboration with Chalo has enabled it to democratize data and help its teams make quick data-driven decisions for business growth," Snowflake Director, Head of Partnerships, India Dhiraj Narang said. "Partnering with Quantiphi accelerated this transformation, laying the foundation for future AI-driven innovations in public transportation. By leveraging Snowflake's AI Data Cloud, Chalo can now securely process vast amounts of transit data with greater efficiency, improving fleet management, reducing costs and optimizing decision-making at scale." Learn more about how Quantiphi and Snowflake enabled transformational data modernization for Chalo. About Quantiphi:Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at and follow us on LinkedIn, X, formerly Twitter, Instagram and YouTube. Media Contact:H. Newsroom View original content to download multimedia: SOURCE Quantiphi Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
23-07-2025
- Business
- Yahoo
Marvell Appoints Rajiv Ramaswami to its Board of Directors
SANTA CLARA, Calif., July 23, 2025 /PRNewswire/ -- Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today announced the appointment of Rajiv Ramaswami, President and Chief Executive Officer of Nutanix, to its Board of Directors, effective July 22, 2025. "Rajiv is an accomplished technology executive with deep expertise spanning software, cloud services, network infrastructure, and semiconductors," said Matt Murphy, Marvell's Chairman and CEO. "His leadership and strategic perspective will be invaluable as we continue to advance our position as the leading supplier of data infrastructure semiconductor solutions. We are excited to welcome Rajiv to our board." Ramaswami brings more than three decades of technology industry leadership to Marvell. He has served as President and CEO of Nutanix, a global leader in cloud software, since 2020. Previously, he was Chief Operating Officer of Products and Cloud Services at VMware. He also held senior leadership roles at Broadcom, Cisco, Nortel, Tellabs, and IBM. Ramaswami holds a in Electrical Engineering and Computer Science from the Indian Institute of Technology, Madras, and both an M.S. and Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley. About Marvell To deliver the data infrastructure technology that connects the world, we're building solutions on the most powerful foundation: our partnerships with our customers. Trusted by the world's leading technology companies for over 30 years, we move, store, process and secure the world's data with semiconductor solutions designed for our customers' current needs and future ambitions. Through a process of deep collaboration and transparency, we're ultimately changing the way tomorrow's enterprise, cloud, automotive, and carrier architectures transform—for the better. Marvell and the M logo are trademarks of Marvell or its affiliates. Please visit for a complete list of Marvell trademarks. Other names and brands may be claimed as the property of others. This press release contains forward-looking statements within the meaning of the federal securities laws that involve risks and uncertainties. Forward-looking statements include, without limitation, any statement that may predict, forecast, indicate or imply future events, results or achievements. Actual events, results or achievements may differ materially from those contemplated in this press release. Forward-looking statements are only predictions and are subject to risks, uncertainties and assumptions that are difficult to predict, including those described in the "Risk Factors" section of our Annual Reports on Form 10-K, Quarterly Reports on Form 10-Q and other documents filed by us from time to time with the SEC. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and no person assumes any obligation to update or revise any such forward-looking statements, whether as a result of new information, future events or otherwise. For further information, contact: InvestorsAshish Saranir@ MediaKim Marklepr@ View original content to download multimedia: SOURCE Marvell Sign in to access your portfolio
Yahoo
21-07-2025
- Business
- Yahoo
Reflecting On Data Infrastructure Stocks' Q1 Earnings: C3.ai (NYSE:AI)
The end of an earnings season can be a great time to discover new stocks and assess how companies are handling the current business environment. Let's take a look at how (NYSE:AI) and the rest of the data infrastructure stocks fared in Q1. Generating insights from system level data is an increasing priority for most businesses, but to do so requires connecting and analyzing piles of data stored and siloed in separate databases. This is the demand driver for cloud based data infrastructure software providers, who can more readily integrate, distribute and process information vs. legacy on-premise software providers. The 4 data infrastructure stocks we track reported a satisfactory Q1. As a group, revenues beat analysts' consensus estimates by 0.8% while next quarter's revenue guidance was 0.9% below. Thankfully, share prices of the companies have been resilient as they are up 6.3% on average since the latest earnings results. (NYSE:AI) Founded in 2009 by enterprise software veteran Tom Seibel, (NYSE:AI) provides software that makes it easy for organizations to add artificial intelligence technology to their applications. reported revenues of $108.7 million, up 25.6% year on year. This print exceeded analysts' expectations by 0.8%. Overall, it was a strong quarter for the company with an impressive beat of analysts' EBITDA estimates and a narrow beat of analysts' billings estimates. pulled off the fastest revenue growth and highest full-year guidance raise of the whole group. Unsurprisingly, the stock is up 24.3% since reporting and currently trades at $28.65. Is now the time to buy Access our full analysis of the earnings results here, it's free. Best Q1: Elastic (NYSE:ESTC) Started by Shay Banon as a search engine for his wife's growing list of recipes at Le Cordon Bleu cooking school in Paris, Elastic (NYSE:ESTC) helps companies integrate search into their products and monitor their cloud infrastructure. Elastic reported revenues of $388.4 million, up 16% year on year, outperforming analysts' expectations by 2.1%. The business had a strong quarter with accelerating customer growth and a solid beat of analysts' EBITDA estimates. Although it had a fine quarter compared its peers, the market seems unhappy with the results as the stock is down 5.4% since reporting. It currently trades at $87. Is now the time to buy Elastic? Access our full analysis of the earnings results here, it's free. Weakest Q1: Teradata (NYSE:TDC) Part of point-of-sale and ATM company NCR from 1991 to 2007, Teradata (NYSE:TDC) offers a software-as-service platform that helps organizations manage and analyze their data across multiple storages. Teradata reported revenues of $418 million, down 10.1% year on year, falling short of analysts' expectations by 2.4%. It was a mixed quarter as it posted an impressive beat of analysts' billings estimates but EPS guidance for next quarter missing analysts' expectations significantly. Teradata delivered the weakest performance against analyst estimates and slowest revenue growth in the group. The stock is flat since the results and currently trades at $21.77. Read our full analysis of Teradata's results here. Confluent (NASDAQ:CFLT) Started in 2014 by the team of engineers at LinkedIn who originally built it as an internal tool, Confluent (NASDAQ:CFLT) provides infrastructure software for organizations that makes it easy and fast to collect and move large amounts of data between different systems. Confluent reported revenues of $271.1 million, up 24.8% year on year. This number surpassed analysts' expectations by 2.6%. Overall, it was a strong quarter as it also logged EPS guidance for next quarter exceeding analysts' expectations and a solid beat of analysts' EBITDA estimates. Confluent achieved the biggest analyst estimates beat but had the weakest full-year guidance update among its peers. The stock is up 7.2% since reporting and currently trades at $25.48. Read our full, actionable report on Confluent here, it's free. Market Update Thanks to the Fed's series of rate hikes in 2022 and 2023, inflation has cooled significantly from its post-pandemic highs, drawing closer to the 2% goal. This disinflation has occurred without severely impacting economic growth, suggesting the success of a soft landing. The stock market thrived in 2024, spurred by recent rate cuts (0.5% in September and 0.25% in November), and a notable surge followed Donald Trump's presidential election win in November, propelling indices to historic highs. Nonetheless, the outlook for 2025 remains clouded by potential trade policy changes and corporate tax discussions, which could impact business confidence and growth. The path forward holds both optimism and caution as new policies take shape. Want to invest in winners with rock-solid fundamentals? Check out our Hidden Gem Stocks and add them to your watchlist. These companies are poised for growth regardless of the political or macroeconomic climate. StockStory is growing and hiring equity analyst and marketing roles. Are you a 0 to 1 builder passionate about the markets and AI? See the open roles here.
Bloomberg
16-07-2025
- Business
- Bloomberg
Rokke-Controlled Aker Plans AI Factory Above Arctic Circle
Aker ASA, the energy conglomerate controlled by Norwegian billionaire Kjell Inge Rokke, plans to set up a facility targeting artificial intelligence capabilities in the Arctic city of Narvik. 'The exponential growth of data is also fueling demand for advanced data infrastructure,' Chief Executive Officer Oyvind Eriksen said in a statement Wednesday. 'AI and data centers are becoming foundational to global business, and northern Norway is uniquely positioned to benefit.'
Skift
25-06-2025
- Business
- Skift
AI in Corporate Travel: BCD Focuses on the Plumbing, Not the Flash
AI might be the future of corporate travel, but for now, it's clearly in pilot mode where the real work is taking place out of view. Much of the artificial intelligence work in corporate travel isn't happening in slick user interfaces — it's buried in the data infrastructure. At BCD Travel, the world's second-largest travel management company, AI development is focused on cleaning up messy, fragmented data before it can be turned into anything actionable. The foundational work in AI at the Netherlands-headquartered company centers on improving data importation, quality, and reconciliation with the aim of delivering better insights to clients. 'There are four key areas we look at when it comes to using AI for data analytics,' said Ajay Singh, BCD's Vice President of Payment and Data Science. 'Data ingestion, improving data quality, enriching data through reconciliation, and finally, delivering insights back to clients.' . This supports the backbone of how corporate travel managers make decisions about spend, compliance, traveler behavior, and supplier negotiations. Each step also reflects a real pain point in the travel data landscape, one that Singh describes as 'highly fragmented' because of information flowing from global distribution systems, travel management companies, online booking tools, card providers, and suppliers. One clear use case is AI-assisted matching of credit card transaction data with booking records, a task that once required tedious manual review. Another is parsing unstructured data, like comments, PDFs, and voice notes, to pull out meaningful travel insights. 'AI can help us move from reactive reports to proactive recommendations,' he said. 'It's about making the data work for each client, in a way that's relevant to their specific needs.' Personalization Is Key As for where AI will have the greatest impact in the next few years, Singh argued it won't be in automation, but in personalization. In other words, enabling clients to query the data, generate their dashboards, and set predictive alerts based on what matters to them. 'Every client is different. Even within a company, different markets and stakeholders care about different outcomes,' Singh said. 'The goal is to democratize data, to let every user, not just analysts, become a data user.' Despite the potential of AI, Singh is candid about where the industry stands: 'If this is a seven-inning game, we're still in the first inning.' One reason? The data isn't ready yet.'AI is like oil; it needs refining. If your data isn't clean, AI can't do much with it,' Singh said. Amex GBT Helps Agents Other corporate travel businesses are likewise using AI behind the scenes, and are also experimenting with more visible forms. As detailed at Skift's recent Data + AI Summit, Amex GBT, the world's largest travel management company, has deployed an AI assistant to help travel agents swiftly surface policy rules tailored to each client. That's a clear efficiency gain, especially when agents juggle multiple accounts, Marilyn Markham, vice president, AI strategy and automation at Amex GBT, said at the summit. The company also uses a chatbot to handle frequently asked questions, though it admits that it is only accurate about 60% of the time, and falls back to human agents when things get complicated. Amadeus Tests Natural Language Questions Amadeus, meanwhile, is betting on 'agentic AI,' a system of small, task-oriented agents that work together to fulfill goals like booking flights or pulling data, Rodrigo Acuna Agost, head of research and the AI Center of Excellence at Amadeus, said at the conference. The company has rolled out a voice-to-voice assistant in limited internal use and is testing tools that let users ask natural language questions like 'What are my top 10 customers?' without needing database knowledge. But even Acuna Agost admitted that a large-scale rollout is years away. Right now, the AI assistants can answer basic questions, said Acuña Agost. But full end-to-end automation? That's still aspirational.
