Latest news with #SnowflakeCortex
Yahoo
6 days ago
- Business
- Yahoo
Can Acxiom and Snowflake break the data black box where others failed?
This story was originally published on Marketing Dive. To receive daily news and insights, subscribe to our free daily Marketing Dive newsletter. Snowflake and Acxiom have announced plans to build and deploy a marketing function powered by artificial intelligence (AI) and built natively in the cloud, per details shared with Marketing Dive. The pair hope to break the 'black box' model that underlies most agency-brand relationships by enabling Acxiom parent Interpublic Group of Companies (IPG) to bring its proprietary data, identity and collaboration tools directly into brands' Snowflake environments. The collaborative offering will eliminate the need to move first-party data — a risky endeavor on the privacy and competitive fronts — and gives brands more transparency into and control over their data and marketing operations. It represents the next step in a long-standing partnership between IPG's data arm and the data cloud company, which is used by more than 11,000 clients globally to build, use and share data. At a high level, Snowflake and Acxiom want to meet brands' expansive data needs and address challenges around enabling security and compliance, real-time insights, precise audience segmentation, improved personalization and — increasingly — a foundation for AI experiments and activations. 'First-party data is becoming more and more important because of different changes in the digital ecosystem, and the consequences of things going wrong with that data are more important than ever, as well,' said Jarrod Martin, CEO at both Acxiom and Kinesso. The collaboration also looks to act as a corrective for how tech platforms like Google and Meta use marketers' first-party data without insights into how their walled gardens work. 'If you're Nike, you want to be Nike. You don't want to be Facebook Nike, TikTok Nike, et cetera, and have a different brand identity, reach and frequency strategy — whatever it might be — in each of those platforms,' Martin explained. 'By bringing control closer to the client, that enables them to create that consistency and connectivity on their own behalf.' At the heart of the latest collaboration is an integration of IPG's Interact platform directly within marketers' Snowflake environments via the Snowflake Native App Framework. Interact, launched last year, is a marketing engine powered by Acxiom that serves as a framework for data flow across the entire campaign lifecycle. The integration allows for marketers to use tools like Snowflake's collaborative data clean rooms without transferring sensitive data. Interact includes AI features, powered by Snowflake Cortex, that help brands optimize campaigns, predict performance and generate personalized content — three key parts of many marketers' AI-focused transformation efforts that have traditionally been hampered by data silos. 'Acxiom-Kinesso is going to bring a lot of these AI applications directly to marketers, and they can use it on their own data — that's what's so powerful — and not only their own data, the right combination of external data sources that you need, as well,' said Snowflake CMO Denise Persson. The partners will also create a joint incubation hub to develop new solutions that combine their shared resources, helping upskill teams at IPG and Acxiom and in turn giving clients advanced access to new data, applications and AI solutions. Already, the partnership is yielding results. IPG Mediabrands is working with a global toy manufacturer to adopt an always-on investment strategy; Kinesso is analyzing tens of millions of dollars in ad spend to power a proprietary media mix model; and Acxiom is helping major financial institutions modernize their martech stacks. 'We have so many joint customers already. This is going to be easy for them to implement,' Persson said. 'This is not a one-year journey here, this is a journey of a couple of months to get going.' Google's April decision to keep third-party cookies — despite years of industry work in support of a cookieless future — changed the impetus but not the outlook on the need for privacy-safe identity resolution. Acxiom's RealID, launched in October 2023, is key to the IPG-Snowflake collaboration and remains one of the company's 'big bets,' Martin explained. 'We can extend the reach of a media platform by creating a better identity solution than what they have today. It allows a media partner to get better reach and command CPM premiums… just through the leveraging of an identity solution like RealID,' the executive explained. RealID bolsters the new collaboration's transparency efforts and is part of Snowflake's data clean room offering, allowing marketers to access identity resolution out of the box without a months-long process that would traditionally take months to set up. RealID is also essential for large enterprise marketers who need to manage campaigns across their organizations. 'Being able to create sequential messaging across the enterprise is super important,' Martin said. 'Those things might sound trivial, but they create massive cumulative gains when you're able to recognize the same person across all of your touch points.' RealID is also helping IPG win large integrated business accounts. While Martin would not name specifics, IPG Mediabrands this week won Paramount's media account for U.S. streaming, Paramount+ and Pluto TV, as well as CBS, BET, VH1 and Comedy Central from Horizon Media as part of a larger shakeup, Deadline reported. Being able to knit together customers across different platforms within a broader organization allows for better monetization of inventory. 'I've got someone who looks like they're a low-value customer, but then when I connect it to another data asset, I can see actually they are high-value customers,' Martin explained, as way of an example. 'I now can command a better price premium for that record, knowing that it's actually a high-value customer based on data that we know over here.'
Business Wire
06-05-2025
- Automotive
- Business Wire
Sigma Partners with Snowflake to Deliver Automotive Solutions for the AI Data Cloud
SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, today announced it has partnered with Snowflake to deliver automotive-specific solutions through the AI Data Cloud. Snowflake and Sigma are enabling automotive manufacturers, suppliers, and more to accelerate their digital transformation and unlock new revenue streams amidst unprecedented technological disruption. As the automotive industry looks to become more data-driven, Sigma is helping industry leaders transform business operations to eliminate data silos and manage connected vehicle data more effectively through advanced analytics, real-time connected vehicle insights, and secure data collaboration. 'The automotive industry is undergoing the most profound transformation in its history. To compete, OEMs must evolve from traditional mechanical manufacturers into data-driven software companies,' said Mike Palmer, CEO of Sigma. Share 'The automotive industry is undergoing the most profound transformation in its history. To compete, OEMs must evolve from traditional mechanical manufacturers into data-driven software companies,' said Mike Palmer, CEO of Sigma. 'Sigma and Snowflake are helping power that shift. By streaming real-time OT data into Snowflake and analyzing it in Sigma, manufacturers can instantly compute and drill into metrics—from company-wide KPIs to insights at the machine level—without the trade-offs of pre-aggregation or siloed systems. And with Sigma's data apps capabilities, users can automate workflows, take actions, and reduce friction in data collaboration, all within an accessible, secure environment. It's a unified, AI-powered interface built for speed, scale, and clarity.' Sigma and Snowflake, the AI Data Cloud company, provide automotive manufacturers, suppliers, dealers, and fleet managers with the tools they need to enact data-driven decisions based on the massive influx of data generated across their ecosystems without sacrificing security or governance standards. Together, automotive manufacturers can more efficiently reduce errors and identify systemic issues in manufacturing, improving quality, customer satisfaction, and overall process improvement. Through this collaboration, joint customers across the automotive manufacturing space have the technology capabilities to: Unlock Factory Floor Insights with AI: Ingest high-volume operational technology data from the factory floor at scale and analyze it using Snowflake Cortex with Sigma. Provide manufacturers and business leaders with an easy-to-understand natural language interface to ask real-time questions about Overall Equipment Effectiveness (OEE) and production metrics, accelerating decisions and driving operational improvements without the need for complex technical workflows. Integrate Data and Connect Silos Across the Automotive Lifecycle: Enable seamless data sharing across design systems, production environments, connected vehicles, service operations, and warranty systems to provide a holistic view of vehicle performance and customer experience. Accelerate development cycles, reduce operational costs, and deliver enhanced services by breaking down barriers between business units, systems, clouds, and partners. Leverage a Scalable and Performant Platform for Connected Vehicle Data: Support the massive data volumes generated by software-defined and autonomous vehicles with an architecture designed for high-resolution sensor and camera data. Decouple storage from compute to efficiently manage exponential growth while maintaining performance. Consolidate all vehicle streams into a single platform that scales without compromising accessibility or insights. Drive New Revenue Opportunities Through Data Monetization and Enhanced Customer Experiences: Create new revenue streams by securely sharing and monetizing automotive data products through Snowflake Marketplace. Gain a comprehensive view of customer interactions across all touchpoints to deliver personalized experiences and services. Enable secure collaboration with ecosystem partners while maintaining strict privacy controls and compliance. Optimize Supply Chain Resilience and Operational Efficiency: Gain real-time visibility across suppliers, inventory systems, and logistics partners to mitigate disruptions and reduce costs. Improve demand forecasting accuracy, minimize stockouts, and reduce excess inventory. Transform fragmented information systems into a unified platform that accelerates time to market and enables collaborative, data-driven decision-making. 'This launch aims to support our increasing number of automotive industry clients who are embracing key trends like autonomous driving technologies, electric vehicle innovation, and connected car ecosystems," said Tim Long, Snowflake Global Head of Manufacturing. "In this initiative, Sigma plays a vital role as a strategic partner. Our combined platform and solutions enable customers to unify their data, eliminate organizational barriers, and create new revenue streams. This collaboration helps businesses accelerate AI and ML innovation while improving operational efficiency, all within a secure and well-governed framework." For more information on Sigma and Snowflake, visit: About Sigma Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end-user input. Sigma is the first analytics platform to enable data writeback, and continues to lead the market with innovation across AI, reporting, and embedded analytics.
Yahoo
31-03-2025
- Business
- Yahoo
Why Snowflake (SNOW) Shares Are Plunging Today
Shares of data warehouse-as-a-service Snowflake (NYSE:SNOW) fell 5.2% in the morning session after anxiety and uncertainty rattled markets as the major stock indices pulled back in the morning session amid concerns about "reciprocal tariffs" to be announced later in the week. The planned tariffs, scheduled for April 2, 2025 (dubbed Liberation Day), were targeted at all countries where the United States had a trade deficit. Simply put, if a US trading partner imposed higher tariffs on American goods than the US did on theirs, the "reciprocal tariffs" would apply. The prospect of heightened trade tensions seemed to have stoked fears of stagflation (slower economic growth and elevated inflation) as the anticipated tariffs will likely raise input costs for businesses. The stock market overreacts to news, and big price drops can present good opportunities to buy high-quality stocks. Is now the time to buy Snowflake? Access our full analysis report here, it's free. Snowflake's shares are somewhat volatile and have had 13 moves greater than 5% over the last year. In that context, today's move indicates the market considers this news meaningful but not something that would fundamentally change its perception of the business. The biggest move we wrote about over the last year was 4 months ago when the stock gained 32.4% on the news that the company reported a strong "beat and raise" quarter. It was encouraging to see Snowflake exceed analysts' revenue expectations with a net revenue retention rate (NRR) that didn't fall at all from the previous quarter. During the earnings call, Snowflake emphasized its commitment to simplifying data workflows and integrating AI capabilities, such as Snowflake Cortex. These initiatives drove competitive displacement and increased customer adoption. Additionally, new products like Snowpark are contributing to revenue growth. Snowpark was expected to account for roughly 3% of total product revenue. On the AI front, Snowflake reported over 1,000 generative AI use cases deployed in production, and 3,200 customers utilizing its platform for AI and machine learning applications. This is another aspect of the business with a strong potential to accelerate growth as customers recognize the value that AI adds to their operations. Moving to the bottom line, operating margin in the quarter beat, and combined with the top-line improvements and cost efficiencies, EPS easily surpassed analysts' estimates. Looking ahead, Q4 product revenue guidance was ahead of analysts' expectations, adding to the good news. For the full year, guidance for product revenue, gross margin, and operating margin were all raised. Overall, this was a very good quarter, a relief for a company that had shown some uneven earnings performance in the previous year. Snowflake is down 7.7% since the beginning of the year, and at $145.42 per share, it is trading 24.6% below its 52-week high of $192.78 from February 2025. Investors who bought $1,000 worth of Snowflake's shares at the IPO in September 2020 would now be looking at an investment worth $572.68. Today's young investors likely haven't read the timeless lessons in Gorilla Game: Picking Winners In High Technology because it was written more than 20 years ago when Microsoft and Apple were first establishing their supremacy. But if we apply the same principles, then enterprise software stocks leveraging their own generative AI capabilities may well be the Gorillas of the future. So, in that spirit, we are excited to present our Special Free Report on a profitable, fast-growing enterprise software stock that is already riding the automation wave and looking to catch the generative AI next. Sign in to access your portfolio
