Latest news with #SnowflakeMarketplace
Yahoo
an hour ago
- Business
- Yahoo
LandingAI Named Snowflake Startup Program Data Cloud Product Partner of the Year
SAN FRANCISCO, June 3, 2025 /PRNewswire/ -- LandingAI today announced at Snowflake's annual user conference, Snowflake Summit 2025, that it has been named the 2025 Startup Program Data Cloud Product Partner of the Year award winner by Snowflake, the AI Data Cloud company. LandingAI has been honored for its outstanding contributions to the Snowflake AI Data Cloud ecosystem, delivering significant value to joint customers across manufacturing, healthcare, and financial services sectors. Through its innovative Visual AI platform, LandingAI has empowered organizations to enhance quality control, streamline operations, and achieve unprecedented accuracy—all within the secure environment of the Snowflake AI Data Cloud. The LandingLens Snowflake Native App stands out as a user-friendly solution that enables the creation, training, and deployment of AI models for computer vision projects. This seamless integration eliminates the need for data migration and maintains the highest standards of data security. LandingAI also announced the launch of Agentic Document Extraction (ADE) on Snowflake Marketplace. ADE, a Snowflake Native App, enables enterprise customers to accurately capture intricate details from documents, including visual elements like charts and tables, delivering traceable insights that transform unstructured data into actionable intelligence LandingAI also announced the launch of Agentic Document Extraction (ADE) on Snowflake Marketplace. ADE, a Snowflake Native App, enables enterprise customers to accurately capture intricate details from documents, including visual elements like charts and tables, delivering traceable insights that transform unstructured data into actionable intelligence Dan Maloney, CEO at LandingAI, commented on the recognition: "This award validates the significant impact of our partnership with Snowflake. Our shared mission is to empower enterprise customers by integrating powerful tools directly into platforms where their data already resides. This approach removes barriers for organizations looking to leverage visual AI in real-world applications, simplifying deployment and accelerating innovation." The collaboration between Snowflake and LandingAI exemplifies a commitment to providing cutting-edge solutions that address the evolving needs of data-driven enterprises. By combining Snowflake's data cloud with LandingAI's advanced Visual AI capabilities, the partnership offers a comprehensive solution that drives efficiency, accuracy, and innovation across various industries. This recognition underscores LandingAI's position as a leader in the Visual AI space and highlights the company's dedication to delivering transformative solutions through strategic partnerships. "The transformative results LandingAI has achieved for our joint customers exemplify innovation in action," said Kieran Kennedy, VP, Data Cloud Products at Snowflake. "Naming them as the Startup Program Data Cloud Product Partner of the Year is not just recognition of their technical excellence, but of their vital role in shaping how modern enterprises harness the AI Data Cloud." The Snowflake Startup Program empowers early-stage companies to build innovative applications and products on Snowflake's Data Cloud platform. Designed for promising startups, the program offers comprehensive technical support, training resources, and valuable go-to-market opportunities. By providing access to Snowflake's powerful data platform and partner ecosystem, the program helps emerging companies accelerate their growth while developing scalable, data-driven solutions. This initiative demonstrates Snowflake's commitment to fostering innovation and supporting the next generation of technology leaders. To learn more about the Snowflake Startup Program, click here. Learn more about LandingAI and Snowflake here. Check out keynotes from Snowflake Summit 2025 live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter/X. About LandingAI LandingAI™ delivers cutting-edge agentic visual AI technologies that empower customers to unlock the value of visual data. With LandingAI's solutions, companies realize the value of AI and move AI projects from proof-of-concept to production. LandingAI's flagship product, LandingLens™, enables users to build, iterate, and deploy Visual AI solutions quickly and easily. LandingAI is a pioneer in agentic visual AI technologies, including Agentic Document Extraction and Agentic Object Detection, which enhance the ability to process and understand visual data at scale, making sophisticated Visual AI tools more accessible and efficient. Founded by Andrew Ng, co-founder of Coursera, founding lead of Google Brain, and former chief scientist at Baidu, LandingAI is uniquely positioned to lead the development of Visual AI that benefits all. For more information, visit View original content to download multimedia: SOURCE LandingAI 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
2 hours ago
- Business
- Yahoo
Ataccama ONE available on Snowflake Marketplace, integrates Document AI
Organizations can extract, structure, govern, and monitor the quality of unstructured data at scale to make more of their information usable for trusted analytics, AI, and business innovation BOSTON, June 03, 2025 (GLOBE NEWSWIRE) -- Ataccama, the data trust company, today announced at Snowflake's annual user conference, Snowflake Summit 2025, the availability of its unified data trust platform, Ataccama ONE, on Snowflake Marketplace. The launch includes an integration with Document AI, enabling enterprises to turn unstructured content, such as contracts, invoices, and PDFs, into structured data by running models directly within Snowflake. According to IDC, unstructured data now makes up the majority of enterprise information and is growing by over 55% each year. Yet much of it remains siloed, unmanaged, and difficult to operationalize. 95% of businesses struggle to manage their unstructured data, and more than half report it as the most difficult type of information to govern. Most organizations still do not know what is hidden within their unstructured data. This blind spot creates operational risk and undermines the value of AI. As enterprises increasingly use unstructured data to power large language models and retrieval-augmented generation (RAG) applications, managing the quality of that data has become critical to building trusted and reliable AI. Ataccama ONE and Document AI allow organizations to unlock value from unstructured information. Enterprises can turn documents into structured records by using natural language prompts, such as 'What is the effective date of the contract?', which are processed by Snowflake's Arctic-TILT large language model to create structured outputs written directly into Snowflake tables. Ataccama ONE connects to these tables to profile the data, apply quality checks, and manage governance policies on the structured outputs. It also tracks how the data flows into analytics, reporting, and AI workflows by capturing lineage at the table level. Additional metadata about the original documents can be added to enrich traceability if needed. This reduces manual work, strengthens trust in the data, and enables repeatable, reliable workflows across the business. 'Unstructured data is an untapped data source as real business context lives there, but it's also the hardest to govern,' said Sam Wong, Senior Director of Data & AI of a global beverage company. 'Documents, contracts, and communications contain the terms, conditions, and risks that structured systems miss. Without a way to extract, validate, and manage that information at scale, AI lacks the foundation it needs to be reliable. With Ataccama ONE and Document AI inside Snowflake, organizations can turn thousands of documents into trusted, structured data. That will give us improved analytics, enhanced data quality, and a better foundation for powerful and trustworthy AI.' 'Unstructured data remains a black box for most organizations, even as it becomes critical for AI and business operations,' said Jay Limburn, Chief Product Officer at Ataccama. 'Without a way to structure, govern, and trust that information, enterprises risk missing the full value of their data. Ataccama ONE combines data quality, governance, observability, lineage, and master data management in a single platform and now extends those capabilities to unstructured content. This allows organizations to improve trust and confidence in all their data, structured and unstructured alike, and build a stronger foundation for AI, analytics, and operational decision-making.' The integration allows users to: Extract structured data using natural language. Teams can specify the information they want to pull, such as 'What is the payment term?', and quickly transform unstructured documents into structured outputs without custom coding. Make extracted data immediately usable for reporting, analytics, and AI. Outputs are written directly to Snowflake tables and are ready for use across BI tools, operational dashboards, and AI model pipelines without requiring additional transformation. Continuously monitor the quality of unstructured data. Ataccama ONE applies automated profiling and rule-based validation to ensure extracted fields meet enterprise standards, helping teams detect inconsistencies and manage risk early. Scale and standardize document processing across teams. Document AI models can be trained and reused in Snowsight, enabling consistent extraction across contracts, invoices, policies, and other document types at scale. Eliminate data movement and simplify governance. All processing, validation, and governance workflows run natively within Snowflake, reducing integration complexity, improving security, and accelerating time to value. 'Ataccama's presence on Snowflake Marketplace reinforces the value of our integrated platform approach that allows our partners to bring their innovative solutions to market within the Snowflake environment,' said Kieran Kennedy, VP, Data Cloud Products at Snowflake. 'With this solution, joint customers have the power to streamline document extraction, ensure data quality, and accelerate insight delivery, all within a governed and scalable environment.' Read the blog 'From black box to business asset: Solving the unstructured data challenge with Ataccama and Snowflake Document AI.' About Ataccama Ataccama is the data trust company. Organizations worldwide rely on Ataccama ONE, the unified data trust platform, to ensure data is accurate, accessible, and actionable. By integrating data quality, lineage, observability, governance, and master data management into a single solution, Ataccama enables businesses to unlock value from their data for AI, analytics, and operations. Trusted by hundreds of global enterprises, Ataccama helps organizations drive innovation, reduce costs, and mitigate risk. Recognized as a Leader in the 2025 Gartner Magic Quadrant for Augmented Data Quality and the 2025 Magic Quadrant for Data and Analytics Governance, Ataccama continues to set the standard for trusted data at scale. Learn more at Media contact press@ 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
3 hours ago
- Business
- Yahoo
Accrete Launches Snowflake Native App to Help Enterprises Transform IT Change Management
Joint customers can now instantly perform work that would take human experts working for weeks with Nebula ITSM, an Expert AI Agent and intelligence solution, powered by Accrete's Knowledge Engine Platform SAN FRANCISCO, June 3, 2025 /PRNewswire/ -- Accrete, a leader in encoding tacit human domain knowledge into Expert AI Agents for decision automation, today announced at Snowflake's annual user conference, Snowflake Summit 2025, the launch of Nebula ITSM on Snowflake Marketplace. Nebula ITSM develops its own implicit understanding of IT change risk in the context of an organization's unique IT operations and uses that understanding as a ground truth basis for long-term reasoning. The AI Knowledge Engine powering Nebula ITSM autonomously creates self-perpetuating knowledge graphs that semantically unify data and tacit experiential knowledge of human experts, enabling Nebula to instantly reason across information silos and generate new knowledge and insights uncovering root cause on and reducing the occurrence of high-impact, costly outages. Nebula ITSM was built using the Snowflake Native App Framework, which enables developers to build and distribute secure apps that run directly within customer Snowflake environments, with no data movement required. The Expert Agents seamlessly integrate with Snowflake's AI Data Cloud, providing enterprises with advanced, proactive, and real-time IT Service Management (ITSM) capabilities powered by artificial intelligence and tailored for enterprise-scale clients. "The future of AI isn't about searching siloed information faster through a natural language interface — it's about continuously and semantically unifying tacit human knowledge and siloed data into a ground truth from which AI Agents can expertly reason, create new knowledge, and build on accumulated knowledge to produce insight that didn't exist in the training text. It's a revolution in human reasoning and decision automation, and it all starts with the Knowledge Engine and its ability to capture and scale tacit human knowledge," said Prashant Bhuyan, Founder, CEO, and Chairman of Accrete, Inc. "LLMs aren't enough to transform enterprises. To scale human expertise orders of magnitude, LLMs need digital brains with persistent memory called Knowledge Engines. Knowledge Engines give AI Agents the ability to make complex decisions faster and more accurately," said Bhuyan. "The codification of tacit human knowledge for decision automation is the key to autonomous enterprises. Accrete's first Snowflake Native App represents an opportunity for Snowflake customers to evolve into autonomous enterprises of unprecedented scale and efficiency." Nebula ITSM leverages Accrete's proprietary AI Knowledge Engine platform to continuously ingest relevant IT service data in real time from data sources with varying architectures and schemas, extract, normalize, link, and model entities and relationships found in both structured and unstructured data found in change tickets, and instantly produces actionable recommendations to de-risk IT changes that could potentially cause severe failures or outages. By automating root cause analysis and correlating incident data with system changes, the Nebula ITSM significantly reduces mean time to resolution (MTTR) for high-impact incidents. It also streamlines the planning process for normal IT change tickets, accelerating approvals by providing clear visibility into affected systems, teams, and business services. As a native Snowflake application, Nebula ITSM runs securely within the customer's existing Snowflake environment, enabling fast, compliant, and seamless access to operational data. "Developing applications directly within Snowflake's ecosystem is revolutionizing how businesses modernize their IT operations," said Kieran Kennedy, Global Head of Data Cloud Products at Snowflake. "Through integrations with innovative companies like Accrete, we're empowering our customers with advanced tools to streamline their service delivery and incident management." Learn more about how Nebula ITSM, now available on the Snowflake Marketplace, transforms IT Service Management by leveraging cutting-edge AI for knowledge management, incident remediation, and change management: About Accrete Accrete is a dual-use AI company founded in 2017 whose AI Knowledge Engine platform enables organizations to encode the tacit knowledge of their best people into Expert AI Agents for decision automation powering autonomous enterprises. Headquartered in Lower Manhattan, Accrete's rapidly-growing customer base includes the U.S. Department of Defense, U.S. Special Operations Command, U.S. Army, U.S. Air Force as well as Fortune 500 companies in industries including Consumer Goods, Finance, and Media and Entertainment. Media Contact: DKC Public Relations accrete@ View original content to download multimedia: SOURCE Accrete 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
3 hours ago
- Business
- Yahoo
Ataccama ONE available on Snowflake Marketplace, integrates Document AI
Organizations can extract, structure, govern, and monitor the quality of unstructured data at scale to make more of their information usable for trusted analytics, AI, and business innovation BOSTON, June 03, 2025 (GLOBE NEWSWIRE) -- Ataccama, the data trust company, today announced at Snowflake's annual user conference, Snowflake Summit 2025, the availability of its unified data trust platform, Ataccama ONE, on Snowflake Marketplace. The launch includes an integration with Document AI, enabling enterprises to turn unstructured content, such as contracts, invoices, and PDFs, into structured data by running models directly within Snowflake. According to IDC, unstructured data now makes up the majority of enterprise information and is growing by over 55% each year. Yet much of it remains siloed, unmanaged, and difficult to operationalize. 95% of businesses struggle to manage their unstructured data, and more than half report it as the most difficult type of information to govern. Most organizations still do not know what is hidden within their unstructured data. This blind spot creates operational risk and undermines the value of AI. As enterprises increasingly use unstructured data to power large language models and retrieval-augmented generation (RAG) applications, managing the quality of that data has become critical to building trusted and reliable AI. Ataccama ONE and Document AI allow organizations to unlock value from unstructured information. Enterprises can turn documents into structured records by using natural language prompts, such as 'What is the effective date of the contract?', which are processed by Snowflake's Arctic-TILT large language model to create structured outputs written directly into Snowflake tables. Ataccama ONE connects to these tables to profile the data, apply quality checks, and manage governance policies on the structured outputs. It also tracks how the data flows into analytics, reporting, and AI workflows by capturing lineage at the table level. Additional metadata about the original documents can be added to enrich traceability if needed. This reduces manual work, strengthens trust in the data, and enables repeatable, reliable workflows across the business. 'Unstructured data is an untapped data source as real business context lives there, but it's also the hardest to govern,' said Sam Wong, Senior Director of Data & AI of a global beverage company. 'Documents, contracts, and communications contain the terms, conditions, and risks that structured systems miss. Without a way to extract, validate, and manage that information at scale, AI lacks the foundation it needs to be reliable. With Ataccama ONE and Document AI inside Snowflake, organizations can turn thousands of documents into trusted, structured data. That will give us improved analytics, enhanced data quality, and a better foundation for powerful and trustworthy AI.' 'Unstructured data remains a black box for most organizations, even as it becomes critical for AI and business operations,' said Jay Limburn, Chief Product Officer at Ataccama. 'Without a way to structure, govern, and trust that information, enterprises risk missing the full value of their data. Ataccama ONE combines data quality, governance, observability, lineage, and master data management in a single platform and now extends those capabilities to unstructured content. This allows organizations to improve trust and confidence in all their data, structured and unstructured alike, and build a stronger foundation for AI, analytics, and operational decision-making.' The integration allows users to: Extract structured data using natural language. Teams can specify the information they want to pull, such as 'What is the payment term?', and quickly transform unstructured documents into structured outputs without custom coding. Make extracted data immediately usable for reporting, analytics, and AI. Outputs are written directly to Snowflake tables and are ready for use across BI tools, operational dashboards, and AI model pipelines without requiring additional transformation. Continuously monitor the quality of unstructured data. Ataccama ONE applies automated profiling and rule-based validation to ensure extracted fields meet enterprise standards, helping teams detect inconsistencies and manage risk early. Scale and standardize document processing across teams. Document AI models can be trained and reused in Snowsight, enabling consistent extraction across contracts, invoices, policies, and other document types at scale. Eliminate data movement and simplify governance. All processing, validation, and governance workflows run natively within Snowflake, reducing integration complexity, improving security, and accelerating time to value. 'Ataccama's presence on Snowflake Marketplace reinforces the value of our integrated platform approach that allows our partners to bring their innovative solutions to market within the Snowflake environment,' said Kieran Kennedy, VP, Data Cloud Products at Snowflake. 'With this solution, joint customers have the power to streamline document extraction, ensure data quality, and accelerate insight delivery, all within a governed and scalable environment.' Read the blog 'From black box to business asset: Solving the unstructured data challenge with Ataccama and Snowflake Document AI.' About Ataccama Ataccama is the data trust company. Organizations worldwide rely on Ataccama ONE, the unified data trust platform, to ensure data is accurate, accessible, and actionable. By integrating data quality, lineage, observability, governance, and master data management into a single solution, Ataccama enables businesses to unlock value from their data for AI, analytics, and operations. Trusted by hundreds of global enterprises, Ataccama helps organizations drive innovation, reduce costs, and mitigate risk. Recognized as a Leader in the 2025 Gartner Magic Quadrant for Augmented Data Quality and the 2025 Magic Quadrant for Data and Analytics Governance, Ataccama continues to set the standard for trusted data at scale. Learn more at Media contact press@ while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Yahoo
3 hours ago
- Business
- Yahoo
Unravel Data Launches Free Snowflake Native App for Cost and Performance Optimization on Snowflake Marketplace
Snowflake users can achieve actionable recommendations for cost and performance optimization with Unravel Data's Snowflake Native App. SAN FRANCISCO, June 03, 2025--(BUSINESS WIRE)--Unravel Data today announced at Snowflake's annual user conference, Snowflake Summit 2025, the launch of its Health Check, an AI-driven cost and performance optimization Snowflake Native App available on Snowflake Marketplace. Joint customers can now complement Snowflake's built-in cost and performance optimization capabilities with Health Check to get a full analysis on the health of their data ecosystem, with recommendations for production workloads. Through this collaboration, Unravel Data and Snowflake, the AI Data Cloud company will help joint customers inform business decisions and drive innovation by automatically analyzing Snowflake workloads to provide concrete, actionable recommendations to boost performance. As a Snowflake Native App, customers can install and run the Unravel Health Check directly in their Snowflake account without the need for data movement, accelerating time to value and reducing data silos. "Enterprises face a significant execution gap in data platform optimization," said Kunal Agarwal, CEO at Unravel Data. "Our free Snowflake Native App bridges this gap by not only identifying inefficiencies, but also provides concrete actions that are easy to implement." Unravel Health Check is capable of analyzing up to 30 days of Snowflake usage to deliver optimization recommendations across the following workloads: Warehouse usage — Rightsizing and consolidation opportunities to reduce costs SQL workload — Query enhancements to address inefficiencies in filters, joins, and projections Storage usage — Identification of "cold" tables and suboptimal feature usage Using the combined capabilities of the Snowflake Native App Framework and Snowpark Container Services, Unravel Health Check offers sophisticated analysis while data remains within the customer's Snowflake environment. "What sets Unravel apart is our focus on actionability," said Shivnath Babu, CTO at Unravel Data. "We deliver specific, implementable guidance that addresses the root causes of inefficiency." Users can install the Unravel Health Check directly from Snowflake Marketplace and see results within minutes, with no security or privacy concerns as data never has to leave their environment. Unravel Health Check is available now on the Snowflake Marketplace at no cost. Snowflake Marketplace helps companies expand what's possible with data and AI through third-party data, apps and AI products. With on-platform purchasing and immediate access to data products, Snowflake Marketplace lowers integration costs and streamlines procurement processes. By delivering data, apps and AI products directly to the customers' data, providers deliver a superior customer experience and see accelerated revenue growth and increased margins. To learn more about Snowflake Marketplace and how to find, try and buy third-party products to accelerate your analytics, app development and AI initiatives, click here. The Snowflake Native App Framework enables developers to build applications using Snowflake's core functionalities, distribute them globally on Snowflake Marketplace, and deploy them within a customer's Snowflake account. To learn more about the Snowflake Native App Framework and how to become a Snowflake partner, click here. About Unravel Data Unravel Data is a data observability and FinOps platform that provides full-stack visibility, AI-powered recommendations, and actionable automations to help optimize the performance, cost, and reliability of modern data applications. For more information, visit View source version on Contacts Media Contact: Unravel Data PR Teamhello@ 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
