VAST Data Powers Smarter, Evolving AI Agents with NVIDIA Data Flywheel
This solution provides enterprises with a converged software platform for data management, database services, and AI compute orchestration. Additionally, VAST AI OS AgentEngine uniquely shares feedback by providing the critical capability to map the intricate web of agent-data interactions through production logs. This granular traceability allows the flywheel to dissect these multi-step interactions, accurately identifying which specific elements require adjustment to enhance outcomes, accelerating model performance and accuracy at scale.
'AI-powered businesses need thinking machines designed for a future where billions of AI agents learn from their own experiences, fine-tune in real time, and create new possibilities through collaboration,' said Jeff Denworth, Co-Founder of VAST Data. 'By unifying NVIDIA's AI software and hardware technologies within the core of the VAST AI Operating System, we are giving customers the foundation to operationalize continuous improvements in AI intelligence at scale, with the security, governance, and service delivery tools required to manage these intelligent agents and the data they rely upon.'
As AI moves from isolated projects to always-on infrastructure, businesses need systems that evolve in real time with every data point while addressing new security and governance challenges around fine-tuned models, agent interactions, and decentralized data pipelines. This collaboration makes it possible to run continuous, automated AI pipelines – from ingestion to inference to retraining – all managed within the VAST AI Operating System.
Among the first to embrace this strategy is CACEIS, one of Europe's largest asset servicing firms. In collaboration with VAST and NVIDIA, CACEIS is exploring a real-time AI platform concept designed to securely capture, transcribe, and analyze 100% of client meetings. The vision is for the system to instantly generate meeting minutes, surface actionable insights, and deliver anonymized trend data — all seamlessly integrated into their sovereign CRM. With an end-to-end security model at its foundation, the platform is being designed to safeguard client privacy and data integrity while continuously evolving through every interaction.
'AI will be a game-changer, highlighting trends in current needs by analysing meeting reports so we can better serve clients,' said Arnaud Misset, Chief Digital Officer, CACEIS.
Using VAST's AgentEngine that leverages the NVIDIA AI-Q Blueprint, CACEIS is developing a platform proof of concept that would enable AI agents to assist relationship managers in real time and help uncover new business opportunities. Built by NVIDIA NeMo microservices and the NVIDIA data flywheel blueprint, the envisioned CACEIS AI factory would continuously capture data and insights from every customer interaction. These feedback loops are intended to drive ongoing model refinement and training, allowing the system to improve and adapt with each meeting. As AI agents learn from one another and from human counterparts, this concept sets the stage for new ideas, collective intelligence, and enterprise-wide knowledge sharing to take shape.
This capability was showcased during NVIDIA's Kari Briski's presentation at GTC Europe in Paris. Watch the demo replay here.
This collaboration signals a broader shift in enterprise AI, from one-size-fits-all models to dynamic ecosystems of intelligent agents that continuously fine-tune, collaborate, and generate new ideas from their own data and interactions. Managing these agents at scale requires fine-grained security, governance, and access controls to ensure they operate safely and within defined boundaries. It also demands scalable, dynamic infrastructure capable of handling the varied and unpredictable demands of AI agents as they interact with diverse data tools and services. The VAST AI Operating System provides this real-time data infrastructure, along with compute orchestration, QoS tools that enforce fairness as different agents run within the environment, and a security framework to refine intelligence and operationalize AI innovation in a secure, scalable, and adaptive system.
'Data flywheels leverage each interaction with an AI agent to continuously improve system intelligence and value,' said Kari Briski, Vice President of Generative AI Software at NVIDIA. 'CACEIS is an exemplary pioneer with a vision of building an agentic AI data flywheel with NVIDIA and VAST to supercharge productivity for financial services in Europe.'
Additional Resources: ? VAST + NVIDIA ? DEMO: AI Agents Unlocked: CACEIS Redefines Client Conversations With VAST Data and NVIDIA ? NVIDIA BLOG: Chat with Your Enterprise Data: Open-Source AI-Q NVIDIA Blueprint Puts Institutional Knowledge at Your Fingertips ? NVIDIA BLOG: Sovereign AI Agents Think Local, Act Global With NVIDIA AI Factories ? NVIDIA BLOG: Build Efficient AI Agents Through Model Distillation With NVIDIA's Data Flywheel Blueprint
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Khaleej Times
5 hours ago
- Khaleej Times
Powerful new AI models knock the wind out of European adopter stocks
A rout in shares of European companies embracing artificial intelligence deepened last week, as powerful new AI models raise questions about whether sectors from software to data analytics could find themselves overtaken by the technology. European software stocks, including Germany's SAP and France's Dassault Systemes, tumbled on Tuesday as worries that AI will disrupt the software sector spread through the market. That followed a downgrade to U.S. rival Adobe on Monday by broker Melius Research. Since mid-July, shares in markets and data group LSEG , UK software firm Sage, and French IT consulting group Capgemini have dropped 14.4%, 10.8% and 12.3% respectively. Such companies - dubbed AI adopters by analysts - are investing heavily in the technology to beef up their products and services. Amid a dearth of European AI companies and suppliers, their shares had benefitted as investors in the region sought a way to tap the AI boom powering U.S. markets. But the release of ever more powerful AI tools appears to have prompted a rethink among some market players. Last week, OpenAI launched its GPT-5 model, the latest iteration of the AI technology that has helped transform global business and culture since ChatGPT arrived in late 2022. Kunal Kothari, a fund manager at Aviva Investors, also pointed to the July 15 release of Anthropic's Claude for Financial Services. "The app that came out has now challenged an investment case around London Stock Exchange (LSEG), around the provision of financial data," he said. "We're at the stage now with every iteration of GPT or Claude that comes out ... it's multiples more capable than the previous generation. The market's thinking: 'oh, wait, that challenges this business model'." The drop in European adopter stocks contrasts with broader market gains. Since mid-July, London's FTSE 100 is up 2.5% and Europe's STOXX 600 up 0.6%, while U.S. indexes have scaled record highs, largely powered by tech stocks. Exacerbating matters is the fact that many European adopter stocks trade on high multiples, making them vulnerable to any potential negative news, according to Bernie Ahkong, Chief Investment Officer at hedge fund UBS O'Connor. The STOXX 600 trades at an average price-to-earnings multiple of 17 times, while SAP - whose shares are down 7.2% since mid-July after posting their biggest daily drop since late 2020 on Tuesday - trades at around 45 times. WILL AI 'EAT SOFTWARE'? Although many AI adopter stocks are struggling, some investors say markets will eventually take a more systematic approach, picking out potential winners and losers. "At the moment, it feels like the market's just shooting first and putting them all in a 'challenged basket'," said Aviva's Kothari, referring to the decline in UK AI adopters. The hype around new AI models has led to the resurfacing of 2017 comments from Jensen Huang, the CEO of AI chipmaking behemoth Nvidia, that "AI is going to eat software". "We don't disagree, but we believe some delineation is warranted here, as not all software companies are equally exposed," said Steve Wreford, portfolio manager on the global thematic equity team at Lazard Asset Management. He said those with software deeply embedded into client company workflows, or with hard-to-replicate proprietary data, still had strong competitive advantages. Paddy Flood, portfolio manager and global sector specialist, technology, at Schroders, said it was important to distinguish between different types of software. "Enterprise-grade applications are less exposed, given their mission-critical nature, the complexity involved in replacing them, and the value of a trusted vendor ensuring ongoing service," he said. Aviva's Kothari also flagged the benefits of having software deeply embedded with customers, citing UK credit data firm Experian as an example. "It has lots of data unique to it, but it's also hugely embedded in the workflows of financial institutions. They want to make a loan, they need Experian," he said, also highlighting Britain's Sage. He holds both stocks, along with LSEG, but cautioned that proprietary data alone may no longer be enough to protect businesses. "I just don't think data is a big enough moat anymore," he said. The selloff in AI adopter stocks could be an opportunity for investors to pick the winners, said UBS O'Connor's Ahkong. "Some of the affected names will actually be able to use AI as an opportunity and tailwind for earnings, but need to prove that from here and that will take time," Ahkong said. But how much time the companies have is unclear. Some investors were already warning earlier this year that the clock was ticking for big spenders on AI to show returns.
Gulf Business
a day ago
- Gulf Business
Napster Corp's Sam Huber on how immersive tech is impacting the future of education
Image: Supplied Imagine learning from a professor who's available 24/7, speaks your language, and adapts to your learning style. At Imperial College London's IDEA Lab, that vision is already a reality, thanks to a video-based, AI platform that enables natural, intuitive chat with AI agents, now changing how students engage with complex topics. Across the Middle East, similar immersive technologies are being embraced not as novelties but as a new foundation for delivering education. The shift is already underway. When Dubai announced artificial intelligence would become a mandatory school subject in the UAE starting in 2025, it wasn't simply a policy decision – it was a clear signal. The region is preparing students for an AI-driven future, and an immersive learning environment plays a central role in it. We applaud the direction being taken and strengthen it with partnerships like the company's collaboration with These efforts represent a fundamental reimagining of institutional learning. Immersive tech + AI: Rethinking how students learn Immersive technology powered by AI has the potential to reshape learning. In a virtual field trip to Petra, for instance, AI can adapt the narrative based on a student's curiosity, slowing down for questions, offering extra detail where there's interest, and skipping what the student already knows. It becomes a dynamic, responsive experience. In science classes, simulations can pause or zoom in when students seem confused. In language labs, pronunciation tools adjust in real time. A more intuitive and supportive learning environment emerges — one that adjusts naturally to visual, auditory, and hands-on learners alike. The impact on higher education and professional training is even more pronounced. Medical students in Dubai can now perform virtual surgeries that respond to their skill levels, providing increasingly complex scenarios as competency grows. Engineering students build and stress-test structures in virtual environments that simulate real-world physics and material constraints. Architecture students walk clients through proposed buildings before the ground is broken, receiving immediate feedback that improves both design and communication skills. Immersive education: From vision to implementation The Middle East's approach to education technology reveals a crucial insight—they are not deploying technology for its sake. They are deploying technology that will help increase the level of engagement teachers have with their students and the curriculum that will help them succeed. This outcome-first mindset means greater efficiency. One immersive setup might be used for a history simulation in the morning, a biology lab in the afternoon, and a language immersion in the evening. The infrastructure supports multiple subjects without needing to be rebuilt for each one. Teachers are also finding their roles shifting—from content deliverers to experience designers. Their expertise is still central, but now it's increasingly used to create engaging, interactive sessions that bring subjects to life. Building with partners Transformation doesn't exist in isolation. Across the Middle East, governments, universities, and technology companies are building long-term partnerships to co-create new educational tools. These collaborations help institutions stay current without taking on the full development burden. The digital twin work at Imperial College is one example. They've developed AI-powered versions of real professors — digital teachers that adapt over time and provide students with tailored, on-demand guidance. It's not a replacement for educators, but an extension of what's possible in the learning experience. These kinds of partnerships ensure that the benefits — and the risks — are shared. Tech providers gain valuable insights from classroom use. Educators access tools they wouldn't be able to build alone. Governments see measurable progress toward national education goals. We are already seeing meaningful results. At INSEAD, over Why the Middle East's lead matters By investing early and aligning strategies across sectors, the Middle East is shaping a new model for education. The benefits go beyond classrooms. A generation of students comfortable with AI tools and immersive environments will enter the workforce ready for a digital-first economy. This leadership could also influence global approaches. As other regions look to modernise their education systems, many may follow the Middle East's example — not just in the technology used, but in the way outcomes, policy, and collaboration are integrated from the start. Looking ahead The next step is scale. For immersive education to move from innovation to infrastructure, it must be treated as an essential, as basic to the classroom as textbooks and whiteboards. This means continuing collaboration between innovators and educators. True success will be measured by the unique skills students gain—like spatial reasoning, cultural empathy, and scientific intuition—that traditional education can't provide. The Middle East is building something new—and in doing so, setting the pace for what's possible in education worldwide. Read:
Tahawul Tech
2 days ago
- Tahawul Tech
Kaspersky highlights biometric, signature risks with attempts up by 21.2% in UAE
Kaspersky has detected and blocked over 142 million phishing link clicks globally in Q2 2025, the UAE saw a 21.2% increase from Q1 in phishing attempts. Currently phishing is going through a shift driven by sophisticated AI-powered deception techniques and innovative evasion methods. Cybercriminals are exploiting deepfakes, voice cloning and trusted platforms like Telegram and Google Translate to steal sensitive data, including biometrics, electronic signatures and handwritten signatures, posing unprecedented risks to individuals and businesses. AI-powered tactics transforming phishing attacks AI has elevated phishing into a highly personalized threat. Large language models enable attackers to craft convincing emails, messages and websites that mimic legitimate sources, eliminating grammatical errors that once exposed scams. AI-driven bots on social media and messaging apps impersonate real users, engaging victims in prolonged conversations to build trust. These bots often fuel romantic or investment scams, luring victims into fake opportunities with AI-generated audio messages or deepfake videos. Attackers also create realistic audio and video deepfake impersonations of trusted figures — colleagues, celebrities or even bank officials — to promote fake giveaways or extract sensitive information. For instance, automated calls mimicking bank security teams use AI-generated voices to trick users into sharing two-factor authentication (2FA) codes, enabling account access or fraudulent transactions. Additionally, AI-powered tools analyze public data from social media or corporate websites to launch targeted attacks, such as HR-themed emails or fake calls referencing personal details. Employing new tactics to bypass detection Phishers are deploying sophisticated methods to gain trust, exploiting legitimate services to prolong their campaigns. For instance, Telegram's Telegraph platform, a tool to publish long texts, is used to host phishing content. Google Translate's page translation feature generates links that look like and are used by attackers to bypass security solutions' filters. Attackers now also integrate CAPTCHA, a common anti-bot mechanism, into phishing sites before directing users to the malicious page itself. By using CAPTCHA, these fraudulent pages deflect anti-phishing algorithms, as the presence of CAPTCHA is often associated with trusted platforms, lowering the likelihood of detection. A switch in hunting: from logins and passwords to biometrics and signatures The focus has shifted from passwords to immutable data. Attackers target biometric data through fraudulent sites that request smartphone camera access under pretexts like account verification, capturing facial or other biometric identifiers that cannot be changed. These are used for unauthorized access to sensitive accounts or sold on the dark web. Similarly, electronic and handwritten signatures, critical for legal and financial transactions, are stolen via phishing campaigns impersonating platforms like DocuSign or prompting users to upload signatures to fraudulent sites, posing significant reputational and financial risks to businesses. 'The convergence of AI and evasive tactics has turned phishing into a near-native mimic of legitimate communication, challenging even the most vigilant users. Attackers are no longer satisfied with stealing passwords — they're targeting biometric data, electronic and handwritten signatures, potentially creating devastating, long-term consequences. By exploiting trusted platforms like Telegram and Google Translate, and co-opting tools like CAPTCHA, attackers are outpacing traditional defenses. Users must stay increasingly skeptical and proactive to avoid falling victim,' said Olga Altukhova, security expert at Kaspersky. Earlier in 2025 Kaspersky detected a sophisticated targeted phishing campaign which was dubbed Operation ForumTroll, as attackers sent personalized phishing emails inviting recipients to the 'Primakov Readings' forum. These lures targeted media outlets, educational institutions and government organizations in Russia. After clicking on the link in the email, no additional action was needed to compromise their systems: the exploit leveraged a previously unknown vulnerability in the latest version of Google Chrome. The malicious links were extremely short-lived to evade detection and in most cases ultimately redirected to the legitimate website for 'Primakov Readings' once the exploit was taken down. To be protected from phishing, Kaspersky recommends: Verify unsolicited messages, calls, or links, even if they appear legitimate. Never share 2FA codes. Scrutinize videos for unnatural movements or overly generous offers, which may indicate deepfakes. Deny camera access requests from unverified sites and avoid uploading signatures to unknown platforms. Limit sharing sensitive details online, such as document photos or sensitive work information. Use Kaspersky Next (in corporate environments) or Kaspersky Premium (for individual use) to block phishing attempts.
