
Monte Carlo Announces Integration with Snowflake to Bring Data + AI Observability Solution to Snowflake Cortex Agents
This collaboration reflects Monte Carlo's continued commitment to ensuring trust and reliability across the complete data + AI lifecycle in Snowflake. By bringing its data + AI observability solution to Cortex Agents, Monte Carlo can help teams confidently scale AI initiatives with reliable, high-quality data, addressing the growing demand for trustworthy, production-ready data + AI systems.
Cortex Agents enable enterprises to build, customize, and deploy AI agents for complex tasks, all within Snowflake's unified platform. As AI investments grow, ensuring the reliability of data pipelines and AI systems is crucial. Monte Carlo's data and AI observability solutions will help to deliver the foundation for trustworthy AI agents by ensuring the quality, reliability, and performance of the underlying data powering these solutions, including structured, semi-structured, and unstructured sources.
"By addressing the critical need for consistent reliability across the entire data + AI stack, we're enabling organizations to build confident, production-ready AI products, while maintaining full visibility into the health and performance of their data + AI estate,' said Lior Gavish, co-founder and CTO of Monte Carlo.
"As enterprises build more sophisticated AI agents within Cortex AI, observability of both the data powering the agents, and the agents themselves, becomes critical for their reliability and trust," said Kieran Kennedy, VP, Data Cloud Product Partners, Snowflake. "Monte Carlo's expertise in delivering end-to-end data + AI observability that can help our joint customers and ensure their AI systems operate on high-quality data and deliver accurate, dependable results."
Monte Carlo is exploring new ways to extend its data + AI observability leadership to Cortex AI, to help organizations confidently scale the development of reliable AI agents in Snowflake's AI Data Cloud. This continued focus reflects Monte Carlo's commitment to supporting the next generation of data-driven AI use cases with the trust, quality, and visibility teams need to move from experimentation to production.
Attending Snowflake Summit? Visit Monte Carlo's booth at #1508 or check out our other events at the conference: www.montecarlodata.com/snowflake-summit /
Monte Carlo created the data + AI observability category to help enterprises drive mission critical business initiatives with trusted data + AI. NASDAQ, Honeywell, Roche, and hundreds of other data teams rely on Monte Carlo to detect and resolve data + AI issues at scale. Named a 'New Relic for data' by Forbes, Monte Carlo is rated the #1 data + AI observability solution by G2 Crowd, Gartner Peer Reviews, GigaOm, ISG, and others.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
an hour ago
- Yahoo
Listing in London a ‘bad idea', says British tech giant
The boss of a £1.5bn British AI business said listing in London is 'not a great idea', highlighting the challenge facing the Square Mile as it seeks to attract more tech companies. Victor Riparbelli, the chief executive and co-founder of Synthesia, claimed the UK and Europe had a 'big problem' in securing blockbuster listings, as he stressed that reform is needed to halt an ongoing exodus to the US. 'We have a big problem in Europe,' he said. 'We don't have a stock exchange that is attractive to list on. 'The London Stock Exchange has weird transaction fees and not enough liquidity. It is clearly from a business perspective, not a great idea to list on the London Stock Exchange. That is something I think we should try and fix.' He said that while a UK listing made sense for companies focused on domestic customers, those with a global reach were more likely to look across the Atlantic. He added: 'There are structural issues around listing in the UK that do not seem very attractive when we get to that point to go public.' Founded in 2017 by Danish entrepreneur Mr Riparbelli, along with Steffen Tjerrild and computer scientists Lourdes Agapito and Matthias Niessner, Synthesia has grown rapidly by making highly realistic AI avatars. These avatars are used by businesses to create AI videos, with the characters capable of delivering training videos or presentations. They can also be used for marketing videos or customer communications. The start-up was valued at $2.1bn (£1.5bn) earlier this year after raising $180m from investors including US fund NEA, Google Ventures and Nvidia. Mr Riparbelli said Synthesia was still some way off going public, but added: 'We are getting to the stage where we start to think about it.' It comes as Synthesia plots a major expansion in London, recently moving into a new headquarters that could double its headcount to 400. Despite Mr Riparbelli's reluctance to list in London, he insisted that he wanted to keep the company based in the capital. Pressure has been mounting on the London Stock Exchange in recent years after a surge in companies leaving for America. This includes Wise, one of the most valuable technology companies in the UK, which unveiled plans last month to shift its primary listing to New York. Meanwhile, Synthesia was among dozens of AI start-ups earlier this week demanding a freeze on Europe's planned new AI rules, warning they threaten to stymie fast-growing companies. Mr Riparbelli said Brussels was at risk of 'shooting itself in the foot' with overly strict AI regulation, compared to Britain, which has taken a 'health stance'. A spokesman for the London Stock Exchange said it is supportive of plans to scrap some stamp duty fees in Britain, which they said has a 'pervasive impact on liquidity in UK capital markets'. Broaden your horizons with award-winning British journalism. Try The Telegraph free for 1 month with unlimited access to our award-winning website, exclusive app, money-saving offers and more. Sign in to access your portfolio
Yahoo
an hour ago
- Yahoo
An EY exec tells BI how the consulting firm is helping companies integrate AI this year: 'This idea of up-skilling the entire workforce to use AI, I think it's kind of silly"
Jason Noel is the CTO for EY's Americas Consulting division. Noel told BI how the firm is helping companies think through AI adoption this year. The firm is focusing on the "convergence of digital and human workforces," he said. The rhetoric around AI in the workplace can be vague: Automation, algorithms, productivity, efficiency, decision-making, up-skilling, the list goes on. Between rapid technological progress and the lag of adoption, there's continued uncertainty about how AI will reshape the future of work. Many employees are anxious about their value, for instance. Executives are at once captivated by the potential for profits and worried about keeping up with their competitors. Investors and company boards are frustrated by the losses they've already incurred from not moving fast enough. Consulting firms are often at the heart of it all. From the outset, at least, they've positioned themselves as the go-to experts to help corporations understand and navigate this latest wave of technology. Yet their work can often be as unclear as the technology itself. To demystify it, Business Insider spoke to EY's new chief technology officer for its Americas Consulting division on what AI really means for workers in 2025. There have been comments about cataclysmic unemployment rates that are gonna plunge us into the next Great Depression. I mean, I think it's interesting to think about those alternatives. It's just not what I'm seeing. I think over the next year, you're going to see an increasing uptake in these copilots, these tools like the ChatGPTs and the private and public models, and interjecting some AI capability into existing enterprise applications, and increasing productivity and efficiency. We're thinking a lot about what we're calling the next generation of enterprise applications — interfaces that present people with what they need based on their role, offer key AI insights, and let them act. The AI agents generate suggestions, and the human validates and approves. We're piloting this now with some major clients, and it's been an incredible success. That's how we're thinking about the convergence of digital and human workforces — not just managing them together, but creating systems where AI augments people in a seamless way. If I'm a cruise director on a cruise ship, there are lots of things that impact how my guests enjoy the ship. The makeup of the people on the ship, the weather, what day — if you're on a day at sea, or if you're going to a port — all of that stuff. There's data to be found there on what happens and how the guests behave. I mean like their buying activities, where they like to hang out, those types of things. So, we can harness that information with AI agents to actually understand and predict what's going to happen. We know, for example, that tomorrow's weather is going to be bad, and it's a day at sea. We know historically how all of that affects the movement of people and the consumption of products, whether that be merchandise, food, or beverages. So, we recommend that you take half of the people from this venue and move them to this venue. We recommend moving around products so you don't run out, because we know what demand is going to look like. We recommend redeploying people to do different things in anticipation of this. The AI will turn around and list out and build out that process automatically. The human in the loop says, "Okay, that makes sense," or "I want to change this piece." This is through a very visual, nice interface. They click go, and then there's a chain of orchestration that happens, in which people are notified, leadership is notified, supply chain changes on the ship. They just know that they have a screen and an application that says, "Here's how much stuff you have now of this," and "Here's how many you have coming inbound," maybe. They don't need to know how the technology works. This idea of up-skilling the entire workforce to use AI — I think it's kind of silly. You need to look at the functions — rethink that. That also dovetails into the people part, right? You're not only just giving them technology that's AI-enabled, you're allowing them to start to rethink how they do their job, and how they can be more efficient at the job, and also provide more overall value and capability. Read the original article on Business Insider
Yahoo
an hour ago
- Yahoo
APAC Edge Data Center Market Set to Surge from $6.64B in 2024 to $36.44B by 2034
Regional initiatives and financial incentives are boosting edge infrastructure, while ongoing innovations in modular solutions and cooling technologies mitigate deployment risks. The market segmentation highlights opportunities across various industries and regions, with significant contributions from 5G and AI/ML workloads. Key challenges include standardization, interoperability, and security concerns. The report offers strategic insights for businesses navigating the evolving edge computing landscape, emphasizing partnerships and technological advancements. Asia-Pacific Edge Data Center Market Dublin, June 30, 2025 (GLOBE NEWSWIRE) -- The "Asia-Pacific Edge Data Center Market: Focus on Product, Application, and Country Analysis - Analysis and Forecast, 2025-2034" report has been added to Asia-Pacific edge data center market, valued at $6.64 billion in 2024, is expected to reach $36.44 billion by 2034, exhibiting a robust CAGR of 17.99% during the forecast period 2025-2034. An increasing trend towards low-latency, distributed computing architectures is propelling the APAC edge data-center market, especially as 5G networks, IoT deployments, and smart-city projects spread throughout the region. Edge sites provide millisecond-level response times for data-intensive use cases like autonomous cars, real-time video analytics, AR/VR apps, and industrial automation by relocating compute and storage capabilities closer to endpoints, relieving strain on centralised clouds and core networks. Edge build-outs are becoming a top focus for governments and service providers, from China's "New Infrastructure" program and South Korea's 5G+ Strategy to India's National Digital Communications Policy and Singapore's Smart Nation vision. Capex and opex for operators are being defrayed by subsidies for micro-data-center installations, spectrum allocations for private 5G networks, and advantageous tax treatment for local-build facilities. The requirement for geographically dispersed compute nodes is further highlighted by the use cases' explosive expansion, which ranges from predictive maintenance in Japanese industry to precision agriculture in risk is progressively declining due to continuous research and development in modular, prefabricated edge pods and sophisticated cooling solutions, even though issues with standardising hardware footprints, maintaining physical security at remote sites, and insuring multi-vendor interoperability still exist. The region's next-generation digital economy will rely heavily on edge data centres as telcos and APAC businesses expand their commercial roll-outs and test programs. APAC Edge Data Center Market Trends, Drivers and Challenges Market Trends Proliferation of 5G-enabled micro data centers at cell sites and urban hubs Modular, prefabricated "edge pod" designs for rapid deployment Growth of AI/ML and real-time analytics workloads at the network edge Emergence of edge-as-a-service offerings from telcos and cloud providers Integration with private 5G and LoRaWAN networks for enterprise IoT Focus on energy-efficient architectures and liquid-cooling solutions Market Drivers Massive 5G rollouts across China, India, South Korea and Southeast Asia Explosive IoT device growth in smart cities, manufacturing and retail Demand for ultra-low-latency applications (AR/VR, autonomous vehicles) Government programs (e.g., China's New Infrastructure, India's NDCP) Corporate digital-transformation and sustainability mandates Availability of concessional financing, grants and tax incentives Market Challenges Lack of standardized hardware footprints and software stacks Multi-vendor interoperability and unified orchestration hurdles Securing distributed sites against cyber-physical threats Power density, cooling and real-estate constraints in urban areas High initial capex and fragmented regulatory environments Skills shortages for edge-specific deployment and operations Competitive Strategy: Key players in the APAC edge data center market analyzed and profiled in the study include project developers and accounting tool providers. The analysis covers market segments by applications, products by type, regional presence, and the impact of key market strategies. Additionally, detailed competitive benchmarking has been conducted to illustrate how players compare, providing a clear view of the market landscape. The study also examines comprehensive competitive strategies, such as partnerships, agreements, and collaborations, to help identify untapped revenue opportunities in the APAC edge data center Attributes: Report Attribute Details No. of Pages 54 Forecast Period 2025 - 2034 Estimated Market Value (USD) in 2025 $8.22 Billion Forecasted Market Value (USD) by 2034 $36.44 Billion Compound Annual Growth Rate 17.9% Regions Covered Asia Pacific Key Topics Covered:1 Markets1.1 Trends: Current and Future Impact Assessment1.1.1 Trends Shaping Edge Data Center Market1.1.2 5G Network Deployment1.1.3 Proliferation of Internet of Things (IoT) Devices1.1.4 Adoption of Software-Defined Networking (SDN) Technology1.2 Supply Chain Overview1.2.1 Value Chain Analysis1.2.2 Market Map1.2.2.1 Edge Data Center Market (by Type)1.2.2.1.1 On-Premise Edge Providers1.2.2.1.2 Network Edge Providers1.2.2.1.3 Regional Edge Providers1.3 Research and Development Review1.4 Technological Analysis1.4.1 Current and Upcoming Technologies1.4.2 Key Countries with the Highest Number of Edge Deployments1.4.3 Technologies at Risk of Becoming Obsolete1.5 Implications for Investors, Operators, and Enterprises1.6 Regulatory Landscape1.7 Market Dynamics Overview1.7.1 Market Drivers1.7.1.1 Minimizing Latency and Bandwidth Usage1.7.1.1.1 Case Study: Comparing Edge Servers and Cloud Locations for Enhanced User Experience1.7.1.2 Increasing Focus on Providing Personalized AI Services1.7.2 Market Restraints1.7.2.1 Lack of Consideration of Security-by-Design1.7.2.2 Non-Migratability of Security Frameworks1.7.3 Market Opportunities1.7.3.1 Surge in Investment by Data Center Providers1.7.3.2 Increase in Data Generation2 Regions2.1 Regional Summary2.2 Asia-Pacific2.2.1 Key Market Participants in Asia-Pacific2.2.2 Regional Overview2.2.3 Driving Factors for Market Growth2.2.4 Factors Challenging the Market2.2.5 Application2.2.6 Product2.2.7 China2.2.8 Application2.2.9 Product2.2.10 Japan2.2.11 Application2.2.12 Product2.2.13 Australia2.2.14 Application2.2.15 Product2.2.16 Rest-of-Asia-Pacific2.2.17 Application2.2.18 Product3 Markets - Competitive Benchmarking & Company Profiles3.1 Competitive Landscape3.2 Company Profile3.2.1 Leading Edge Data Centres3.2.1.1 Overview3.2.1.2 Top Products/Product Portfolio3.2.1.3 Top Competitors3.2.1.4 Target Customers3.2.1.5 Key Personnel3.2.1.6 Analyst View3.2.1.7 Market ShareFor more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment Asia-Pacific Edge Data Center Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error 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