Snowflake Unveils AI Data Cloud Innovations at Summit 2025
Home » Tech Value Chain » Global Brands » Snowflake Unveils AI Data Cloud Innovations at Summit 2025
Snowflake (NYSE: SNOW), the AI Data Cloud company, announced major product innovations at its annual user conference, Snowflake Summit 2025. These updates are set to transform how enterprises manage, analyze, and activate data in the AI era.
The company revealed enhancements across data engineering, compute performance, analytics, and agentic AI. These innovations aim to eliminate data silos and connect enterprise data to business action. At the same time, they maintain control, simplicity, and governance.
James Petter, Vice President, Snowflake EMEA, stated that the new updates redefine what organizations can expect from a modern data platform. He emphasized that the company's goal is to make AI and machine learning workflows more accessible, trusted, and efficient.
Snowflake introduced Snowflake Openflow, a multi-modal data ingestion service now generally available on AWS. It enables users to connect to nearly any data source and drive value from any architecture. Openflow removes data fragmentation by unifying formats and systems.
The service is powered by Apache NiFi™, automating data flow between systems. It allows data engineers to create custom connectors in minutes, running them on Snowflake's managed platform. It supports a wide range of sources like Box, Google Ads, Proofpoint, ServiceNow, Workday, and Zendesk, among others.
Key capabilities include: Hundreds of ready-to-use connectors
Integration with cloud object stores and messaging platforms
Snowflake also revealed new compute innovations. These include Standard Warehouse Generation 2 (Gen2), now generally available, which offers 2.1x faster performance. Another addition, Adaptive Compute, is now in private preview. This feature automatically sizes and shares resources for better performance and lower costs.
The company reported the upcoming release of Snowflake Intelligence and Cortex Agents, both in public preview soon. These tools enable users to ask natural language questions and get insights from structured and unstructured data. Powered by models from Anthropic and OpenAI, they run securely within Snowflake.
Another announcement was the Data Science Agent, now in private preview. It helps data scientists by automating tasks like data preparation, feature engineering, and model training using Anthropic's Claude.
According to Snowflake, more than 5,200 customers, including BlackRock, Luminate, and Penske Logistics, are already using Cortex AI to transform their operations.
The company also introduced SnowConvert AI and Cortex AISQL. These tools support fast and cost-effective migration from legacy systems and enable generative AI-powered SQL analytics. Both are designed for high performance and efficiency.
Additionally, Snowflake revealed updates to its Marketplace. New agentic products like Cortex Knowledge Extensions will soon be available. These allow enterprises to enrich AI agents with third-party data while ensuring data protection and attribution. Users can access content from The Associated Press and other providers.
Through these developments, Snowflake aims to empower global organizations to modernize their data strategies with enterprise-ready AI.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Web Release
24 minutes ago
- Web Release
Zoho Launches Zia Hubs to Empower MENA Businesses to Extract Intelligence from Unstructured Data
Zoho Corp., a leading global technology company, today announced the launch of Zia Hubs in the Middle East and North Africa (MENA) region, a new solution within Zoho WorkDrive, the company's secure content collaboration platform that enables businesses to extract intelligence from unstructured data and activate it across their operations. Built on Zia, Zoho's proprietary AI engine, Zia Hubs allows organisations to connect various types of content—documents, audio, video, and more—to Zoho's expansive suite of apps for deeper insights, agentic AI capabilities, and unified, context-aware search. 'According to IDC, 80 percent of business data is unstructured,' said Hyther Nizam, President Middle East and Africa (MEA), Zoho. 'Most unstructured data is text-based, meaning pertinent information lives within email conversations, social media posts, word processor documents, or audio and video transcripts. In fast-evolving economies like those in the Middle East, the ability to leverage AI to unlock hidden value from business content can dramatically improve decision-making, operations, and customer engagement. With Zia Hubs deeply integrated into our suite of apps, customers can put their data to work in ways unmatched by any other platform,' Nizam added. Zia Hubs is now part of Zoho WorkDrive, which gives businesses full control over what content is AI-accessible and allows them to organise team or project-specific material into dedicated 'hubs'. Once the content—ranging from PDFs and spreadsheets to call logs and video files—is added to a hub, Zia automatically structures it, preserving context through section headings, supporting visuals, and linked references. For audio and video content, Zia generates searchable transcripts and highlights key moments tied to relevant topics, making it easy to locate exact moments quickly. With Zia Hubs, users can ask complex questions and receive cited answers that span across myriad content formats. Whether a user is referencing a legal document, financial spreadsheet, or customer support recording, Zia's responses link directly to the original material. Businesses can also create automated workflows using Zoho Flow, ensuring that the latest relevant files are consistently routed into the appropriate hubs for ongoing analysis. Moreover, Zia Hubs supports content from third-party sources such as DocuSign, RingCentral, and Zoom, giving teams the ability to manage and analyse external data with the same intelligence layer. Zia Hubs is a foundational element of Zoho's long-term AI strategy, laying the groundwork for a future where intelligent agents can act contextually on content across the company's entire product suite. With full ownership of its technology stack spanning more than 55 products, Zoho is uniquely positioned to help organisations unlock deeper value from their business content compared to competitors. Future updates to Zia Hubs will allow it to identify structured information within unstructured files and trigger specialised agents tailored to specific business needs, further utilising Zia Hubs as the central content intelligence layer that activates AI-native workflows across the full Zoho ecosystem. Zia Hubs will be available as part of Zoho WorkDrive by end of Q3 2025, and would integrate fully with applications like Zoho CRM, Zoho Desk, Zoho Projects, and Zoho Flow. Businesses in the UAE, Saudi Arabia, Egypt, and throughout the region can take advantage of this powerful new capability to transform content into intelligence and intelligence into action. Disclaimer: All trademarks, product names, and company names cited herein are the property of their respective owners.
Web Release
an hour ago
- Web Release
IFS Appoints Shawn Juister as President, Energy & Resources
IFS, the leading provider of enterprise cloud and Industrial AI software, today announced the appointment of Shawn Juister as President, Energy & Resources, reflecting IFS's strong growth in the sector and new product investment. Juister has joined the IFS executive leadership team, bringing more than 20 years of experience to the company. With this appointment, IFS continues to strengthen its focus on the Energy & Resources (E&R) sector, which includes asset-intensive and service-centric customers in Energy and related industries. Juister will be responsible for driving accelerated growth in the sector, deepening customer value, and executing IFS's ambitious E&R product roadmap. Juister has previously held global leadership positions across software, energy, and asset-intensive industries. He brings deep experience in enterprise software and commercial transformation, including senior roles at Hitachi Energy and RPM Global, where he delivered significant revenue growth and led major go-to-market and SaaS transitions. 'Shawn is an accomplished software executive with a track record of scaling enterprise businesses and delivering commercial transformation,' said Max Roberts, Chief Operating Officer at IFS. 'His leadership will be instrumental as we double down on our momentum in Energy & Resources, following landmark customer wins such as Total Energies, and as we bring our next-generation AI-powered industry solutions to market.' Shawn Juister, President, Energy & Resources, IFS, added: 'Now is a very exciting time to join IFS. The company is extending its leadership and investment in solutions tailored for the energy industry in parallel with the energy sector undergoing major strategic and digital transformation. I am looking forward to working with our customers to capitalize on the opportunities for growth.'
Arabian Post
3 hours ago
- Arabian Post
Swift Scanner Kingfisher Exposes Active Code Secrets
A high‑performance tool named Kingfisher, developed by MongoDB, now enables developers and security teams to detect and validate active secrets—such as API keys and credentials—in codebases in real time. Its release addresses shortcomings in existing scanners by verifying through live checks against cloud services. Kingfisher began as a personal project in July 2024 by MongoDB security engineer Mick Grove, who was dissatisfied with current open‑source secret scanners. Internal testing confirmed that by April 2025 it had become a core part of MongoDB's internal security workflows—scanning pre‑commit code, CI/CD pipelines, Git histories and on‑premise files to identify active secrets. The tool has now been made publicly available under the Apache 2.0 licence. Introducing Kingfisher: The Open Source Secret Scanner that Finds and Validates Leaked Secrets Fast ADVERTISEMENT Crafted in Rust, Kingfisher employs Intel's Hyperscan for high‑speed regex matching and Tree‑sitter for language‑aware source parsing across more than 20 languages. It runs multi‑threaded scans on repositories and file systems and adds entropy‑based rules to filter high‑confidence detections. The standout feature is active validation: when a potential secret is found, the tool attempts to authenticate against external APIs—such as AWS, Azure, GCP or Stripe—to determine if it remains functional. This real‑time validation sharply reduces false positives. For example, Kingfisher identified one active AWS secret and four inactive Slack tokens in illustrative internal tests. The tool ships with over 700 built‑in detection rules and supports custom configurations via YAML, making it extensible to new credential types. Performance benchmarking shows Kingfisher outpaces popular tools such as TruffleHog and Gitleaks in terms of runtime, offering a faster, more efficient scanning solution. Its cloud‑agnostic validation ensures organisations obtain unified visibility over secrets, irrespective of the cloud provider in use. Using Kingfisher aligns with compliance demands, particularly those of the Supply‑chain Levels for Software Artifacts. It aids organisations working toward SLSA Level 2 and beyond by preventing embedded credentials in source code and safeguarding build integrity during the software supply chain lifecycle. Unlike cloud‑hosted secret scanning, Kingfisher operates entirely on‑premise or within authorised infrastructure. This ensures that detected secrets do not leave the user's environment, addressing data privacy and sovereignty concerns. Kingfisher is accessible across major operating systems, including Linux, macOS and Windows. Installation options range from pre‑built binaries to source compilation via Docker. It also integrates seamlessly with GitHub, GitLab, and CI/CD systems, enabling detection at pre‑commit, pull‑request and post‑merge stages. Given the surge in credential‑related breaches and the market's growing concern over hidden, hard‑coded secrets, Kingfisher directly responds to a critical need. Credential exposure remains a leading cause of data breaches, with stolen secrets frequently exploited by automated botnets and sold on underground markets. By combining live validation, speed, and extensibility, Kingfisher represents a meaningful shift in the secret‑scanning ecosystem. It not only identifies potential security issues, but confirms those that pose genuine risk—allowing developers and security engineers to focus remediation efforts on threats that truly matter. Its release as open‑source ensures broader access: security teams, DevOps practitioners and smaller organisations can now employ an enterprise‑grade scanner without incurring licensing fees or relying on proprietary systems. MongoDB's publication of Kingfisher thus reinforces its commitment to open‑source solutions that empower the wider tech community.
