Latest news with #Stefanini
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USA Today
a day ago
- Sport
- USA Today
2025 Livesport Prague Open 2021: Bouzkova [47th] vs. Stefanini [151st] Prediction, Odds and Match Preview
In the Round of 16 at the Livesport Prague Open 2021 on Wednesday, Marie Bouzkova (ranked No. 47) takes on Lucrezia Stefanini (No. 151). Bouzkova is the favorite against Stefanini in this match, with -1000 odds compared to the underdog's +550 in the Round of 16. Tennis odds courtesy of BetMGM Sportsbook. Odds updated Monday at 6:36 PM ET. For a full list of sports betting odds, access USA TODAY Sports Betting Scores Odds Hub. Marie Bouzkova vs. Lucrezia Stefanini matchup info Bouzkova vs. Stefanini Prediction Based on the implied probility from the moneyline, Bouzkova has a 90.9% to win. Bouzkova vs. Stefanini Betting Odds Bouzkova vs. Stefanini matchup performance & stats Our team of savvy editors independently handpicks all recommendations. If you purchase through our links, the USA Today Network may earn a commission. Prices were accurate at the time of publication but may change. Gambling involves risk. Please only gamble with funds that you can comfortably afford to lose. While we do our utmost to offer good advice and information we cannot be held responsible for any loss that may be incurred as a result of gambling. We do our best to make sure all the information that we provide on this site is correct. However, from time to time mistakes will be made and we will not be held liable. Please check any stats or information if you are unsure how accurate they are. No guarantees are made with regards to results or financial gain. All forms of betting carry financial risk and it is up to the individual to make bets with or without the assistance of information provided on this site and we cannot be held responsible for any loss that may be incurred as a result of following the betting tips provided on this site. Past performances do not guarantee success in the future and betting odds fluctuate from one minute to the next. The material contained on this site is intended to inform, entertain and educate the reader and in no way represents an inducement to gamble legally or illegally or any sort of professional advice. Gannett may earn revenue from sports betting operators for audience referrals to betting services. Sports betting operators have no influence over nor are any such revenues in any way dependent on or linked to the newsrooms or news coverage. Terms apply, see operator site for Terms and Conditions. If you or someone you know has a gambling problem, help is available. Call the National Council on Problem Gambling 24/7 at 1-800-GAMBLER (NJ, OH), 1-800-522-4700 (CO), 1-800-BETS-OFF (IA), 1-800-9-WITH-IT (IN). Must be 21 or older to gamble. Sports betting and gambling are not legal in all locations. Be sure to comply with laws applicable where you reside. It is your sole responsibility to act in accordance with your local laws.
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USA Today
2 days ago
- Sport
- USA Today
2025 Livesport Prague Open 2021: Tomova [104th] vs. Stefanini [151st] Prediction, Odds and Match Preview
In the Livesport Prague Open 2021 Round of 32 on Monday, we have a matchup of No. 151-ranked Lucrezia Stefanini versus No. 104 Viktoriya Tomova. Tomova is the favorite (-180) in this match versus Stefanini (+140). Tennis odds courtesy of BetMGM Sportsbook. Odds updated Sunday at 6:37 PM ET. For a full list of sports betting odds, access USA TODAY Sports Betting Scores Odds Hub. Viktoriya Tomova vs. Lucrezia Stefanini matchup info Watch the Tennis Channel and more sports on Fubo! Tomova vs. Stefanini Prediction Based on the implied probility from the moneyline, Tomova has a 64.3% to win. Tomova vs. Stefanini Betting Odds Tomova vs. Stefanini matchup performance & stats
Forbes
11-07-2025
- Business
- Forbes
DeepSeek And The Future Of Enterprise AI
Fabio Caversan is Vice President of Digital Business and Innovation at Stefanini, driving new product offerings and digital transformation. In January 2025, the Chinese startup DeepSeek released R1, a sophisticated, open-source reasoning model. In a field dominated by proprietary models from companies like OpenAI and Google, R1 quickly gained traction as an accessible alternative. The implications for enterprise AI are significant. Until recently, most leading systems were only available through closed APIs or expensive licensing agreements. With its open-source approach, DeepSeek broadened access to cutting-edge AI capabilities while enabling organizations to better understand, audit and customize the systems they deploy. Efficiency, Energy And Enterprise Impact The market was quick to respond to R1's surprise debut. Within days, OpenAI and Google had announced new, lower pricing structures, and Microsoft began testing deployments through Azure. However, despite the competitive threat, some industry leaders saw the launch as a step forward. Meta's chief AI scientist, Yann LeCun, praised DeepSeek for accelerating the push toward open-source AI. Meanwhile, Microsoft CEO Satya Nadella called the development "good news," arguing that increased access drives broader adoption. The launch of R1 also brought benefits for companies focused on energy consumption. Historically, running AI models on enterprise infrastructure has required tremendous energy, so much so that in 2024, Microsoft announced plans to revive the Three Mile Island nuclear power plant in Pennsylvania to supply its data centers. By enabling high-output performance on even mid-tier machines, the R1 model allows organizations to scale AI capabilities without the major infrastructure or energy costs typically associated with AI operations. A Model That Does More With Less With R1, high-performance models are showing up in places they couldn't before—on modest infrastructure, under tighter budgets and in organizations previously priced out of advanced AI solutions entirely. Key strategic advantages include: • Flexible Implementation Without Cloud Dependency: DeepSeek can be deployed and tested on local infrastructure. That reduces reliance on third-party APIs and provides more direct control over how systems are built and managed. • Lower Total Cost Of Ownership: Because it's open source and runs on modest hardware, DeepSeek reduces costs associated with licensing fees and infrastructure. • Stronger Data Governance And Regulatory Fit: On-premises deployment gives organizations more control over data handling, making it easier to meet internal policies and regional privacy laws. • Efficient Performance With Less Energy Draw: R1's architecture allows for advanced capabilities without the heavy energy draw typically associated with large-scale AI. • Enhanced Market Agility: Teams that adopt open-source models early will be able to move quickly and test new ideas in-house. Auditability And Assurance DeepSeek's open-source architecture provides enterprises with transparency. As Grammarly CEO Rahul Roy-Chowdhury argued in an article for the World Economic Forum, transparency is a foundational strength of open-source systems. Because the underlying code and model weights are publicly available, organizations can audit and adapt open-source technology to meet their own security and ethical standards. Barriers To Adoption Despite these strengths, DeepSeek hasn't yet reached mainstream enterprise adoption. Running a state-of-the-art open-source AI model on-premises requires expertise across DevOps, machine learning (ML) operations and AI. Many organizations lack that level of in-house capability. Geopolitical tensions also muddy the waters. Because DeepSeek is headquartered in China, some organizations remain cautious. These organizations will need visible, ongoing assurance of data security, regulatory alignment and long-term technological autonomy to overcome this hesitation. Beyond the technology, companies need to understand how well a system runs, how easily it will integrate with existing workflows and whether it will introduce any compliance risks. The Next Step For Enterprise AI Winning in the next era of enterprise AI will require trust, agility and the ability to meet businesses where they are. As an open-source project, DeepSeek is in a position to outperform competitors in priority areas such as transparency and cost efficiency. However, any provider looking to compete for enterprise adoption will need to invest in six key areas: • Explainability And Fairness: For AI decisions to be trusted, especially in scenarios where they impact people, they need to be explainable and fair. Providers should build out or integrate interpretation tools, support external audits and share bias metrics. Clear documentation and audit pathways must be part of any enterprise offering. • Scaling Open Source And Community Trust: Open-source projects succeed when they're backed by active, well-supported communities. For providers, that means investing in developer experience, strong documentation and ongoing engagement to keep users and contributors connected to their core team. • Security And Adversarial Risks: Wider deployment will make large AI models more attractive to attackers. Providers should implement "security by design" across the stack, run third-party audits and red team exercises, maintain rapid patch cycles and give self-hosted users detailed, actionable security guidance. • Interoperability And Integration: Mainstream enterprise adoption will depend on seamless compatibility with legacy, cloud and hybrid IT environments. Providers should prioritize a mature SDK/API layer, build plug-ins for top enterprise platforms (such as Microsoft and Salesforce) and offer onboarding materials and "solution blueprints" for common enterprise use cases. • Enterprise Support And Sustainability: For mainstream adoption, open source alone isn't enough. Enterprises need support contracts, SLAs and deployment options that fit their infrastructure. Providers should build or enable commercial packages that give companies a choice between total self-hosting and managed or fully supported deployments. • Continuous Innovation And Talent Retention: Falling behind on model quality or deployment features kills momentum quickly. Providers need strong internal R&D, active collaboration with outside researchers and a culture that prioritizes open peer review and innovation. Conclusion The release of R1 has shown that companies can deploy sophisticated AI with more speed and confidence than ever before. However, delivering a technically strong model is only part of the equation. For now, DeepSeek offers a rare combination of performance, flexibility and autonomy, and that puts it ahead of the curve. Whether it will stay there will depend on how quickly it can operationalize support and security at scale. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
USA Today
23-05-2025
- Sport
- USA Today
How to Watch Lucrezia Stefanini vs. Jil Teichmann at the 2025 Roland Garros: Live Stream, TV Channel
How to Watch Lucrezia Stefanini vs. Jil Teichmann at the 2025 Roland Garros: Live Stream, TV Channel On Sunday, Lucrezia Stefanini (No. 153 in the world) meets Jil Teichmann (No. 98) in the Round of 128 at the Roland Garros. Stefanini enters the Round of 128 after her two-set win on Friday over Veronika Erjavec (6-3, 6-2) in the qualifying round. Teichmann lost in two sets the last time she competed, falling 4-6, 1-6 to Kamilla Rakhimova at the Round of 32 of the Grand Prix De Son Altesse Royale La Princesse Lalla Meryem on May 20, 2025. Watch Tennis Channel on Fubo! Lucrezia Stefanini vs. Jil Teichmann: live stream info & TV channel Tournament: Roland Garros Roland Garros Round: Round of 128 Round of 128 Date: Sunday, May 25 Sunday, May 25 Live Stream: Watch Tennis Channel on Fubo Watch Tennis Channel on Fubo Court Surface: Clay Lucrezia Stefanini vs. Jil Teichmann matchup stats Stefanini is 1-2 on clay over the past year. In terms of serve/return winning percentages on clay over the past year, Stefanini has won 31.3% of her games on serve, and 53.8% on return. Stefanini has converted 11 of 24 break points on clay (45.8%) over the past 12 months and is 203rd in break points won. In her previous tournament (the Internazionali BNL d'Italia), Stefanini lost to Veronika Kudermetova 5-7, 2-6 on May 7, in the Round of 128. Teichmann is 5-6 in five tournaments on clay over the past year. On clay surfaces, Teichmann has a 61.4% winning percentage in service games and a 40.4% winning percentage in return games. On clay Teichmann is 77th in break point win percentage (52.8%) after going 38-for-72. Teichmann was eliminated in the Round of 32 of her most recent tournament (the Grand Prix De Son Altesse Royale La Princesse Lalla Meryem) on May 20, when she lost 4-6, 1-6 to Rakhimova. Stefanini vs. Teichmann futures odds Tennis odds courtesy of Tipico Sportsbook. Odds updated Friday at 3:57 PM ET. Stefanini Odds to Win the 2025 Roland Garros: +50000 +50000 Teichmann Odds to Win the 2025 Roland Garros: +50000 Tennis odds courtesy of BetMGM Sportsbook. Odds updated Friday at 3:57 PM ET. For a full list of sports betting odds, access USA TODAY Sports Betting Scores Odds Hub.
CNA
30-04-2025
- Business
- CNA
Brazil's Stefanini looking for acquisitions in the Americas and Europe
RIO DE JANEIRO :The Stefanini Group, a global tech consultancy firm based in Brazil, plans to spend 2 billion reais ($350 million) on acquisitions by the end of 2027, said Marco Stefanini, the company's founder and global CEO. The group is in talks with targets and may soon announce a transaction in Latin America, and another in Europe in the next 12 months, the CEO told Reuters this week on the sidelines of the tech conference Web Summit Rio. Stefanini is focused on acquiring companies in those regions and the U.S., he added, with an emphasis on the cloud, finance, analytics, cybersecurity, and artificial intelligence segments. Recently, Stefanini announced the acquisition of a 60 per cent stake in Escala 24x7, an Amazon Web Services consulting partner based in Miami, targeting the rapidly growing cloud market in Latin America. The value of the transaction was not disclosed. In total, Stefanini plans to make around 10 acquisitions by the end of 2027. "We prefer to spread (the investments) to reduce risk," he said.
