Rhea Moss

With self-serve analytics, you can empower everyone in your company to go from data to decisions. Our VP of Analytics Adam Kinney explains how we do it at Mixpanel 👇 https://lnkd.in/dUeb4mDe

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How mature is your organization's data? Our own Susan Laine, Chief Field Technologist, sat down with BI-Platform to discuss our 7-step approach to data maturity. If you're looking to unlock more from your data or build a strong foundation for AI, don’t miss Susan’s deep dive into data maturity, quality, and innovation. Check out the full interview here 👉 https://okt.to/y42XgL #DataIntelligence #DataMaturity #DataMarketplace #AI #DataQuality

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Haven’t joined the 2nd Annual: Great #Marketplace Scavenger Hunt yet? Check out this video to get started and then head over to Snowflake Marketplace between now and May 31 to test your data product discovery skills (U.S. only - see full program terms and conditions.)

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Want to harness the immeasurable power of AI to revolutionize your marketing strategy and drive unprecedented outcomes? 🤯 Sounds like a pretty good idea. We’re teaming up with Snowflake to host a webinar on August 27 at 1pm ET where we’ll discuss: 💥 AI’s impact on marketing data clouds & CDPs 💨 How to enhance personalization with AI 💪 Use cases & best practices for AI-powered automation Register today for this can’t-miss webinar. 👇 Link in the comments!

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📅 Mark Your Calendars for Bigeye CEO Kyle Kirwan's Snowflake Roundtable! Data and Analytics Leaders Roundtable: Ensuring Trust in Enterprise Analytics When: Monday, June 3 at 2:30pm PDT Where: Theater BI230 In a recent Bigeye report, we found that 70% of decision-makers don't trust analytics dashboards for critical decisions due to frequent data quality incidents. Join Kyle Kirwan, CEO and Co-Founder of Bigeye, as he sits down with top data and analytics leaders to discuss: - Challenges that reduce trust in business analytics - Strategies for tackling these challenges - Monitoring data from traditional sources to Snowflake - Ensuring analytics reliability for executive dashboards - Building trust by providing insights into dashboard health See you there!

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The recent announcement from Snowflake about the launch of their Enterprise LLM is hardly unexpected within the industry. What's unfolding before us is undeniably one of the most accelerated technological revolutions we've ever seen. The speed at which LLMs are advancing is truly remarkable, paralleled by their extensive and rapid adoption across enterprises, including IT and developer teams. At Aim Security, we're convinced that security leaders are currently presented with a rare opportunity to become the enablers of the GenAI revolution within businesses. Reach out to us today to discover how LLMs are deployed in your environment, and establish security guardrails to enable secure use. https://lnkd.in/duv53HVM

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Not all AI solutions are created equal. Stop settling for one-size-fits-all platforms. With HatchWorks AI and Databricks, we tailor data strategies that fit your unique business needs—because your data deserves more. 🧱 https://hubs.la/Q02PMwHZ0 Your data can be a powerful tool for growth, not a hurdle to overcome.

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E18: I LOVE how Michael Meucci from Arcadia talks about data being currency and the race providers are in to differentiate. If your IT team is still a cost center, you're dangerously stuck in 1990's thinking. Let's talk quantifiable results and measurable ROI.

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🐬 Dremio users deal with a lot of different data file and table formats. ⚒️ So Dipankar Mazumdar, M.Sc 🥑 of Onehouse and Alex Merced of Dremio worked together to create a new blog post. 🕵️ In the post, they show how you might use Dremio to smoothly do lakehouse analytics on Apache Hudi and Apache Iceberg data using Apache XTable (Incubating). 0️⃣1️⃣ Check it out - and borrow and revise the code as needed. https://lnkd.in/g-jBvJ55 #apachehudi #XTable #datalakehouse #dataengineering #onehouse #opensource #nolockin

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Your Snowflake bill shouldn't scale faster than your data. 👋 Meet Radar - Our new AI-powered tool that slashes Snowflake costs by 15-25% without sacrificing performance. No complex setup. No performance tradeoffs. Just click a few buttons and let our AI do the heavy lifting: 🔄 Automatically scales warehouses based on real-time demand 💰 Eliminates costly idle time ⚡️ Maintains your existing query performance 🤖 Works 24/7 in the background Sound too good to be true? Watch the demo below to see it in action 👇 #Snowflake #dbt #AnalyticsEngineering #DataEngineering

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Company executives continue to demand their data teams turn their data into gold...all while pressuring data teams to push out quick and dirty pipelines. There isn't time to actually understand the data they are modeling. There isn't time to actually understand if the data they are using is even accurate. Nope, just deliver, deliver, deliver. As companies look to incorporate AI and ML into their data strategies and roadmaps the problem could compound. BUT...I look at this as a new opportunity to refocus on data quality. Regardless of how fancy or sophisticated a company's AI model might be, poor data quality will make the outputs of these models useless at best, and misleading and company destroying at worst. So, as your company is rolling out its internally developed LLM or implementing a dynamic pricing model, it’s a great time to review your data quality strategy. The first key point to cover is that data quality is not limited to one pillar, like accuracy. But instead, several key pillars need to be considered when developing your data quality system. So in the article below, I cover some of the key pillars that your company should consider as you're building your AI and ML infrastructure. https://lnkd.in/gscnmc5D

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Heading to #DataCloudSummit? Stop by booth 1225 where we’ll be talking all things AI, customer marketing, and how to drive ROI through the roof. We’ll also be hosting a discussion with Zillowaround marketing, advertising, and how Snowflake is powering both. Get all the details here.

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Announcing Mixpanel as a Resource Partner for Conquest '24🚀 Mixpanel is analytics for builders that need answers from their data at their fingertips. When everyone in the organization can see — and learn from — the impact of their work, they are poised to make better decisions. Their real-time analytics allow teams to understand user engagement, conversion, and retention across devices, enhancing the user experience. #ConquestforStartups

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There is no AI if your data isn’t in order! And that’s not any data, ALL data wherever it lives, however it looks and whenever you need it! CrateDB the dark horse of the high volume, realtime, distributed database architecture and high performance. You know what, we index it all by default at ingestion so you don’t have to pick your favorite field! You love all your fields and you need them to be ready to be part of your insight on demand. Complex queries made easy when all your data can speak SQL no matter where it was born! That’s the Power of Simplicity.

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John Steinmetz (VP of Analytics at Gallo Mechanical) and our CEO Ethan Aaron joined John Wessel + Eric Dodds on The Data Stack Show (sponsored by RudderStack) to dig into building High-Impact Data Teams. Full episode at the link below 👇 Here are the highlights: Ethan’s Background (0:47) John’s Background (1:16) Data Teams vs. Engineering Teams (2:04) Career Paths in Data (3:40) Pressure of Large Companies (6:10) Contrasting Industries: Expedia vs. Gallo (9:02) Establishing Trust in Data (11:30) From Sales to Data (16:30) Understanding Success Metrics (18:58) Creating Daily Business Value (23:03) Aligning Data Work with Leadership Goals (29:30) Differences Between Data and Software Engineering (31:25) The Role of Data in Business (35:56) Understanding Data Contracts (39:35) Accuracy vs. Usability in Data (41:51) Observational Skills in Data Roles (44:03) Defining Product in Data vs. Software (47:07) Final Thoughts and Takeaways (52:42) https://lnkd.in/ebyygTfZ

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Did you know that Anomalo integrates seamlessly with Snowflake? This integration empowers businesses to unlock the full potential of their data while ensuring its integrity and compliance. With Snowflake transforming global data connections, Anomalo's AI-powered platform monitors data quality in real-time, safeguarding against inaccuracies that could impact critical decisions and operations. Our joint solution bridges the gap between governance and quality, offering a unified approach to data management. Key features include: - Table Observability & Data Quality Monitoring: Monitor your entire data warehouse for timely and complete data delivery. - Data Lineage & Issue Tracing: Trace data quality issues through your systems, understanding their origins and impacts. - Unified Access Control: Ensure consistent access policies across Snowflake and Anomalo platforms. Read the full blog to learn how customers like Discover Financial Services and Faire are benefiting from this partnership, experiencing improved data reliability and streamlined operations. Read the full blog https://bit.ly/3xWXiVL #DataQuality #Governance #Snowflake #Anomalo #Partnership #AI #DataManagement

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When discussing customizing versus fine-tuning models, Danielle Benecke, Founder and Global Head of Baker McKenzie’s Machine Learning Practice, said about fine-tuning: “We're not a technology company. We don't have that kind of expertise. But what we can do is we can leverage the off-the-shelf technology and the tooling to combine these models with different things, primarily data, primarily expertise to solve different problems.” Instead of fine-tuning, Baker McKenzie focuses on customizing domain-specific models to meet client needs, combining existing technologies with their legal expertise to address specialized problems across industries. ⚖ Check out this snippet from Danielle's HIKE2 Lodge session to hear more! ⤵️ #AIModels #AI #MachineLearning #LegalTech #HIKE2Lodge #Dreamforce2024 #DF24 #Dreamforce

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