Latest news with #SnowflakeAIDataCloud
Channel Post MEA
4 days ago
- Business
- Channel Post MEA
Snowflake Appoints Chris Niederman As Senior VP Of Alliances & Channels
Snowflake has announced Chris Niederman as Senior Vice President of Alliances & Channels, starting July 21, 2025. Niederman will be responsible for leading the Snowflake global channel and partner ecosystem, and driving growth and collaboration through the Snowflake AI Data Cloud to empower every enterprise to achieve its full potential through data and AI. 'At the heart of the AI Data Cloud, the Snowflake partner ecosystem is accelerating innovation and delivering critical value to our 11,000+ global customers,' said Mike Gannon, CRO, Snowflake. 'Chris's unparalleled experience pioneering partner-led growth for major industry players is a game-changer. I'm incredibly excited to aggressively scale Snowflake's business via this ecosystem, and thrilled Chris's leadership will propel our alliances and channels program to its next phase of exponential growth.' The Snowflake Partner Network is a rapidly expanding ecosystem of over 12,000 global partners, including leading cloud providers, technology innovators, and system integrators. This network is instrumental in empowering organizations to maximize the value of the Snowflake AI Data Cloud, offering a diverse range of integrated solutions, expert services, and industry-specific solutions. The Snowflake Partner Network plays a critical role in accelerating customer success, modernizing data architectures, driving AI adoption, facilitating secure data collaboration, and monetization. The organizations that make up this network are a cornerstone of Snowflake's growth, fostering co-innovation and driving adoption of the Snowflake AI Data Cloud. 'Throughout my career, I've seen how a thriving partner ecosystem and partner-led growth directly impact customer success,' said Niederman. 'Snowflake's partners are at the forefront of innovation, extending the power of the AI Data Cloud and enabling our joint customers to unlock maximum value from their data and drive business outcomes. I look forward to getting to work, meeting our partners and customers in the field, and deepening these critical relationships to accelerate our joint successes.' Niederman joins Snowflake with more than 30 years of technology experience of building and scaling partnership organizations that drive enterprise transformation. Prior to joining Snowflake, he spent 11 years at Amazon Web Services (AWS), most recently serving as Managing Director of the AWS Industries and Solutions team, leading the organization responsible for AWS's worldwide partner strategy and industry transformation initiatives. At AWS, Niederman built the Global Systems Integrators business from inception to a $10 billion dollar annual run rate. Niederman has also held partner sales positions at VMware, where he created the company's first National Partner Sales team, and holds an MBA with concentration in Finance and Marketing from the University of Chicago Booth School of Business.
Business Wire
5 days ago
- Business
- Business Wire
Snowflake Appoints Chris Niederman as Alliances & Channels Leader
No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced Chris Niederman as Senior Vice President of Alliances & Channels, starting July 21, 2025. Niederman will be responsible for leading the Snowflake global channel and partner ecosystem, and driving growth and collaboration through the Snowflake AI Data Cloud to empower every enterprise to achieve its full potential through data and AI. "At the heart of the AI Data Cloud, the Snowflake partner ecosystem is accelerating innovation and delivering critical value to our 11,000+ global customers," said Mike Gannon, CRO, Snowflake. "Chris's unparalleled experience pioneering partner-led growth for major industry players is a game-changer. I'm incredibly excited to aggressively scale Snowflake's business via this ecosystem, and thrilled Chris's leadership will propel our alliances and channels program to its next phase of exponential growth." The Snowflake Partner Network is a rapidly expanding ecosystem of over 12,000 global partners, including leading cloud providers, technology innovators, and system integrators. This network is instrumental in empowering organizations to maximize the value of the Snowflake AI Data Cloud, offering a diverse range of integrated solutions, expert services, and industry-specific solutions. The Snowflake Partner Network plays a critical role in accelerating customer success, modernizing data architectures, driving AI adoption, facilitating secure data collaboration, and monetization. The organizations that make up this network are a cornerstone of Snowflake's growth, fostering co-innovation and driving adoption of the Snowflake AI Data Cloud. 'Throughout my career, I've seen how a thriving partner ecosystem and partner-led growth directly impact customer success,' said Niederman. 'Snowflake's partners are at the forefront of innovation, extending the power of the AI Data Cloud and enabling our joint customers to unlock maximum value from their data and drive business outcomes. I look forward to getting to work, meeting our partners and customers in the field, and deepening these critical relationships to accelerate our joint successes." Niederman joins Snowflake with more than 30 years of technology experience of building and scaling partnership organizations that drive enterprise transformation. Prior to joining Snowflake, he spent 11 years at Amazon Web Services (AWS), most recently serving as Managing Director of the AWS Industries and Solutions team, leading the organization responsible for AWS's worldwide partner strategy and industry transformation initiatives. At AWS, Niederman built the Global Systems Integrators business from inception to a $10 billion dollar annual run rate. Niederman has also held partner sales positions at VMware, where he created the company's first National Partner Sales team, and holds an MBA with concentration in Finance and Marketing from the University of Chicago Booth School of Business. Comments on the news: "Partnering with Snowflake is critical to our customers' success especially in the AI era. I've seen the business impact Chris can drive first-hand after our many years working together across the tech ecosystem. Chris's deep experience in fostering strategic alliances and his focus on impactful industry solutions will expand the Snowflake ecosystem's capabilities and empower joint customers to accelerate their supply chain operations with AI at the core." – Darren Saumur, President, Blue Yonder "With Chris's proven leadership and our longstanding history of collaboration, we are confident that the Snowflake Partner Network will further enhance the integration of technology, services, and data. Together, we look forward to delivering industry-focused solutions that empower our joint clients to harness advanced AI capabilities and realize their most ambitious data-driven goals." – Jason Eichenholz, Snowflake Lead Alliance Partner, Deloitte Consulting LLP Learn more Learn more about Snowflake Partner Network. Stay on top of the latest news and announcements from Snowflake on LinkedIn and X. About Snowflake Snowflake makes enterprise AI easy, efficient and trusted. More than 11,000 companies around the globe, including hundreds of the world's largest, use Snowflake's AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at (NYSE: SNOW).
Yahoo
08-07-2025
- Business
- Yahoo
MindBridge Announces Integration with Snowflake for AI-Powered Financial Data Analysis on AI Data Cloud
Seamless connection between MindBridge and Snowflake's AI Data Cloud enables joint customers to easily detect financial risks, errors, and opportunities OTTAWA, Ontario, July 08, 2025--(BUSINESS WIRE)--MindBridge, the leader in AI-powered financial decision intelligence, today announced its integration with Snowflake, the AI Data Cloud company, enabling finance teams to seamlessly analyze financial data for continuous, AI-powered analysis. Through this new integration, organizations can uncover deeper financial insights, strengthen internal controls, and accelerate decision-making, all while maintaining their existing security, governance, and control over their data. MindBridge allows finance leaders to "see the unseen" by analyzing every transaction in real time, surfacing risks, anomalies, and opportunities for optimization. With this new integration, organizations can securely connect MindBridge to their data without complicated processes or manual work. This makes it easier for finance teams to get the insights they need faster, allowing them to review and mitigate risks more effectively. "Finance leaders are under increasing pressure to deliver accurate, real-time insights that support the business," said Rachel Kirkham, Chief Technology Officer at MindBridge. "MindBridge's integration with Snowflake's AI Data Cloud allows organizations to easily apply AI-driven analysis of their financial data for explainable, proactive insights finance teams trust." By leveraging secure data pipelines within the Snowflake AI Data Cloud, organizations can easily and securely use MindBridge for automated analysis, without adding complexity or risk. Risk scores and insights from MindBridge can also be leveraged in existing workflows, shortening the time to identify and act on findings and minimizing additional training or complex implementations. Every time data is updated - whether that's daily, weekly, or on demand - MindBridge automatically runs its analysis, so finance teams always have a consistent, up-to-date view of their financial risk. "Integrating MindBridge's capabilities into the Snowflake AI Data Cloud makes it easier for our shared customers to transform their financial risk analysis workflows with speed and accuracy," said Rinesh Patel, Global Head of Financial Services, Snowflake. "This collaboration aligns perfectly with our commitment to helping financial services organizations harness the full power of their data while reducing operational complexity and maintaining data sovereignty." Key Benefits of the Integration Simple, scalable integration - MindBridge connects directly to the Snowflake AI Data Cloud, leveraging secure data pipelines to automate analysis within existing governance frameworks. Real-time financial risk insights - Finance teams gain continuous access to AI-powered analytics across all financial transactions, enabling earlier risk detection, more confident decision-making, and more accurate reporting. Enterprise-grade security and control - Organizations retain full control over their data within Snowflake, with flexible options for configuring analysis schedules, triggers, and permissions to meet internal compliance and governance standards. Frictionless insights delivery - With automated data delivery and analysis execution, business users can access the latest results in the MindBridge UI or within their existing workflow systems, providing more flexibility to surface insights where and when they're needed most — without disrupting established processes. Integrated risk intelligence - Risk scores and analysis results are retrieved via API back into the Snowflake platform, enabling continuous risk monitoring, deeper investigations, and integrated reporting alongside other business KPIs. MindBridge's integration with the Snowflake AI Data Cloud reflects a broader strategy by the company to deliver frictionless financial decision intelligence across modern enterprise environments — helping organizations improve operational efficiency, strengthen internal controls, and drive smarter business decisions at scale. About MindBridge Analytics Inc. Founded in 2015 and headquartered in Ottawa, Canada, MindBridge is the global leader in AI-driven financial decision intelligence. MindBridge empowers finance professionals to detect anomalies and manage risk for vast amounts of data with unimagined precision. Analyzing all financial transactional data, all the time, MindBridge enables companies to identify and manage risk across the enterprise through the lens of the auditor, regulator, and bespoke financial controls. Financial leaders rely on MindBridge's proven, innovative AI to uncover risk and drive proactive financial oversight. Learn more at View source version on Contacts Media contact: Linsey FlanneryDirector, Marketing Error in retrieving data Sign in to access your portfolio Error in retrieving data
Business Wire
08-07-2025
- Business
- Business Wire
MindBridge Announces Integration with Snowflake for AI-Powered Financial Data Analysis on AI Data Cloud
OTTAWA, Ontario--(BUSINESS WIRE)-- MindBridge, the leader in AI-powered financial decision intelligence, today announced its integration with Snowflake, the AI Data Cloud company, enabling finance teams to seamlessly analyze financial data for continuous, AI-powered analysis. Through this new integration, organizations can uncover deeper financial insights, strengthen internal controls, and accelerate decision-making, all while maintaining their existing security, governance, and control over their data. 'Integrating MindBridge's capabilities into the Snowflake AI Data Cloud makes it easier for our shared customers to transform their financial risk analysis workflows with speed and accuracy' - Rinesh Patel, Global Head of Financial Services, Snowflake. Share MindBridge allows finance leaders to 'see the unseen' by analyzing every transaction in real time, surfacing risks, anomalies, and opportunities for optimization. With this new integration, organizations can securely connect MindBridge to their data without complicated processes or manual work. This makes it easier for finance teams to get the insights they need faster, allowing them to review and mitigate risks more effectively. 'Finance leaders are under increasing pressure to deliver accurate, real-time insights that support the business,' said Rachel Kirkham, Chief Technology Officer at MindBridge. 'MindBridge's integration with Snowflake's AI Data Cloud allows organizations to easily apply AI-driven analysis of their financial data for explainable, proactive insights finance teams trust.' By leveraging secure data pipelines within the Snowflake AI Data Cloud, organizations can easily and securely use MindBridge for automated analysis, without adding complexity or risk. Risk scores and insights from MindBridge can also be leveraged in existing workflows, shortening the time to identify and act on findings and minimizing additional training or complex implementations. Every time data is updated - whether that's daily, weekly, or on demand - MindBridge automatically runs its analysis, so finance teams always have a consistent, up-to-date view of their financial risk. 'Integrating MindBridge's capabilities into the Snowflake AI Data Cloud makes it easier for our shared customers to transform their financial risk analysis workflows with speed and accuracy,' said Rinesh Patel, Global Head of Financial Services, Snowflake. 'This collaboration aligns perfectly with our commitment to helping financial services organizations harness the full power of their data while reducing operational complexity and maintaining data sovereignty.' Key Benefits of the Integration Simple, scalable integration - MindBridge connects directly to the Snowflake AI Data Cloud, leveraging secure data pipelines to automate analysis within existing governance frameworks. Real-time financial risk insights - Finance teams gain continuous access to AI-powered analytics across all financial transactions, enabling earlier risk detection, more confident decision-making, and more accurate reporting. Enterprise-grade security and control - Organizations retain full control over their data within Snowflake, with flexible options for configuring analysis schedules, triggers, and permissions to meet internal compliance and governance standards. Frictionless insights delivery - With automated data delivery and analysis execution, business users can access the latest results in the MindBridge UI or within their existing workflow systems, providing more flexibility to surface insights where and when they're needed most — without disrupting established processes. Integrated risk intelligence - Risk scores and analysis results are retrieved via API back into the Snowflake platform, enabling continuous risk monitoring, deeper investigations, and integrated reporting alongside other business KPIs. MindBridge's integration with the Snowflake AI Data Cloud reflects a broader strategy by the company to deliver frictionless financial decision intelligence across modern enterprise environments — helping organizations improve operational efficiency, strengthen internal controls, and drive smarter business decisions at scale. About MindBridge Analytics Inc. Founded in 2015 and headquartered in Ottawa, Canada, MindBridge is the global leader in AI-driven financial decision intelligence. MindBridge empowers finance professionals to detect anomalies and manage risk for vast amounts of data with unimagined precision. Analyzing all financial transactional data, all the time, MindBridge enables companies to identify and manage risk across the enterprise through the lens of the auditor, regulator, and bespoke financial controls. Financial leaders rely on MindBridge's proven, innovative AI to uncover risk and drive proactive financial oversight. Learn more at
Malaysian Reserve
08-07-2025
- Business
- Malaysian Reserve
Katalyze AI Launches Digityze AI on Snowflake AI Data Cloud, Enabling GMP-Ready Intelligence for Biomanufacturing
TORONTO, July 8, 2025 /PRNewswire/ — Katalyze AI, an advanced AI company revolutionizing the biomanufacturing process, today announced the launch of Digityze AI, an AI-powered document intelligence platform built natively on the Snowflake AI Data Cloud. Now available on Snowflake Marketplace, the platform transforms unstructured documents into structured, compliant data, fueling real-time analytics that streamline pharmaceutical production and accelerate time to market for life-saving drugs. Available on Snowflake Marketplace, Digityze AI combines advanced machine learning, biophysics-informed models, and visual AI to organize complex manufacturing documents, including PDFs, handwritten notes, tables, forms, and fragmented data, unlocking critical insights. Built for biopharmaceutical and other highly-regulated industries, Digityze AI is an integration of generative AI, raw material characterization, and large language models that automates the extraction, validation and approval of data buried in complex documents such as Certificates of Analysis (CoAs), batch records, SOPs, lab reports and any other document type specific to the organization's needs. With modular workflows and support for human oversight, the platform enables teams to achieve both high accuracy and auditability. 'Pharmaceutical manufacturers are under immense pressure to streamline their processes, reduce waste and improve output, all while maintaining stringent regulatory compliance,' said Reza Farahani, CEO, Katalyze AI. 'By launching Digityze AI on Snowflake, we're making it easy for life science companies to extract critical data from buried documents and put it to use across their AI workflows, securely, at scale and in real time.' 'Katalyze AI's commitment to helping Snowflake empower every enterprise to achieve its full potential through data and AI can be seen through the launch of Digityze AI,' said Shannon Katschilo, Country Manager of Canada, Snowflake. 'We look forward to driving deeper value for Snowflake's AI Data Cloud ecosystem by delivering enhanced value to customers in highly-regulated industries through streamlined data insights, rapid analytics capabilities, and enterprise-scale AI solutions.' Building Digityze AI as a Snowflake Native App enables customers to deploy and operate the service directly within their own Snowflake environments. This helps ensure secure, governed and seamless integration with existing data pipelines, eliminates data silos and unlocks end-to-end process visibility. To learn more visit Read the blog: Katalyze AI Revolutionizes Biomanufacturing with Document Intelligence About Katalyze AI Katalyze AI provides an AI-driven biomanufacturing platform designed to support biotech and pharmaceutical manufacturers in analyzing raw materials, optimizing production processes, and enhancing operational efficiency. By focusing on yield improvement, quality consistency, and demand reliability, Katalyze AI addresses key challenges in biomanufacturing to support reliable, data-informed production outcomes. The platform is built to integrate seamlessly into existing workflows, enabling manufacturers to make informed decisions and drive sustainable growth.
