Rodrick Squires

Stop by Speedata.io booth tomorrow at MinneAnalytics #datatech2024. We're demoing hardware accelerated Apache Spark: 🏎 20x-200x Faster Queries 💸 50x infrastructure savings vs. CPUs and GPUs ⚡ 91% less power than CPUs and GPUs Zero-code change to your DataFrames and SparkSQL

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Introducing Clari Forecast for Consumption – helping leaders drive predictability and accountability across complex revenue models. Predict and manage all consumption revenue in one place, uncovering next best steps, new opportunities, and use cases. You’ll also get customizable forecasting fit for the scale and complexity of your revenue cadence. Now, all members of your sales team can lean in and run revenue like a pro. Learn more about how you can recharge your revenue engine with AI here: https://bit.ly/3yb09dT 

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"The Seismic integration with Responsive gives us the confidence that when we share customer-facing content, we're providing consistent messaging that reflects the latest and greatest that we have to offer to our current and future customers," said Joseph Ayala, Director, Proposal Development Center at Teradata. Connect all of your customer-facing content with Seismic and Responsive, the leading Strategic Response Management (SRM) software to fully package and structure your answers to RFP’s and RFI’s, save time, shorten the deal cycle and increase revenue! To learn more about the integration or our powerful partnership, click on the link below in the comments 👀

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Speaking with Frank Bell today regarding #SnowflakeSummit prep and I shared something that I learned. Many people MISTAKENLY thought that DataOps.live didn't use and leverage all of the Snowflake products and tools to deliver #DataProducts or #NativeApps on Snowflake. That is wrong! We help you gain speed, efficiency and life-cycle management utilizing any or all of Snowflake's capabilities in any or all possible combinations you wish! #Streamlit? SURE! #SnowPark? SURE! #SPCS? SURE! #NativeApps? SURE! #ConnectedApps? SURE! Whatever new advance comes out in the Snowflake Summit release within a few weeks? SURE! AI drew this picture on a voice prompt of "create an image of DataOps.live accelerating the success of Snowflake AI Enterprise rollout and AI Native App & Data Product creation and life-cycle management" Snowflake is supported by us and we simplify the deployment and development and operations utilizing all of Snowflake's tools. We don't do it alone! #ApicIsWorthAthousandWords

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🚀 Exciting news! FirstEigen's DataBuck has been recognized as one of the key tools in Gartner's 2024 Market Guide for #DataObservability. Our AI/ML innovations have propelled DataBuck beyond traditional data observability into the realm of autonomous Data Trustability. 🌟 DataBuck empowers users to observe changes, discover unknowns, and autonomously take necessary actions to prevent the propagation of data errors with minimal human intervention. We're proud to lead the way in enhancing data reliability and trust.  #DataScience #MachineLearning #AI #DataQuality #Analytics https://lnkd.in/gVT9v9ta

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Join us on June 27 @ noon ET / 9AM PT for a webinar on "ValueOps ConnectALL: Pattern Thinking & Automation," led by Lance Knight. Explore how optimizing flow in software delivery value streams can enhance efficiency and drive automation. Key topics include 🚧 Removing bottlenecks 🧩 Leveraging recurring patterns 🤖 Automating tasks 👀 Increasing visibility 🤝 Aligning teams to improve overall productivity and collaboration Gain a comprehensive understanding of this powerful automation solution with a real-time demo of ValueOps ConnectALL. #ValueStreamManagement #PatternThinking #SoftwareDelivery

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Exciting news today with our friends at Databricks. This integration of Databricks AI/BI Genie with Glean will allow users to chat with the breadth of their enterprise data, uniting structured and unstructured data like never before while maintaining permissions and security. https://bit.ly/3VkeQTB

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Congrats to the companies spotlighted on CRN’s inaugural AI 100 list! From NVIDIA and Microsoft to Dell Technologies and Wiz, these 100 artificial intelligence market leaders are the ones making waves in the boiling-hot AI industry with billions of dollars expected to be poured into new AI technology this year. #CRNAI100

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Snowflake jumps into the Generative AI arena with its latest LLM announcement. The Arctic LLM. But, Do we need another LLM? Snowflake talks about unprecendent performance, unparalleled efficiency, etc. Typical sales jargon associated with a new product. But, Here is my take in English. Ecosystems of LLMs are evolving.  Models are being built across a wide array of use cases. GPT- 3: focus on Q&A, and content creation. DALL-E: Image generation LLaMA - summarization, transition, code generation T5: converting text from one form to another and a host of AWS LLMs. Each model and its iteration improves efficiency and performance.  So, Demand for specialized and effective LLMs will only grow from here. I made an example of how Snowflake may gain momentum with this investment, more importantly, how this will help a customer. Consider RetailSM, a retailer invested in a data-led journey. they are seeking to understand customer sentiment. In the past or current, their options are as follows. • Build a data lake. • Build a data mesh. • Unify all data. send Data scientists to town to build models. • Hope the models can drive the use case, and no one says your data is trash after 6 months of burning money. • Pray, the use case implementation (Sentiment analysis) journey yields results in under 6 months, with some $$$ returns. With this LLM model natively within Snowflake's realm, several benefits should come fast. #1 of that is to cut down a significant amount of time. Here are some others: 💡Gain deep insights from social media, customer interactions, and reviews through sentiment analysis. 💡 Tailor marketing campaigns with personalized recommendations and promotions.  💡Drive product development strategies based on customer feedback.  💡Enhance customer service by proactively addressing concerns. This mirrors an advance like Microsoft's Copilot. MS Copilot has the potential to revolutionize the modern workplace. Because Microsoft is the OG of the modern workplace. Snowflake is deep into the Enterprise data ecosystem. It can wield its analytics wizardry to empower businesses. In the end, Snowflake's Arctic LLM represents a powerful tool to harness the power of Gen AI. #SnowflakeArctic #GenerativeAI #DataAnalytics What do you think? Sridhar Ramaswamy

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525,000,000 Truly amazed with the amount of time, effort & investment Moody's put to increase global company coverage of #Orbis to 525million. This number may not mean much to most of you. To give you some perspective, I remember in 2016, we were at 200million. So in 8 years, our coverage has grown over 260%! #moodys #orbis #companydata #kyc #data #entitydata

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If you are a customer of Snowflake and Salesforce this integration is game changing. Deeper integration = more ROI as illustrated via 3 industry use case examples below. Data is only valuable to the Business if it’s Accessible, Actionable & can be used in the front office: 💪 Retailers can use Commerce and Service Cloud data w/ POS and supply chain in Snowflake 💪 CPGs can organize Marketing and Sales Cloud in Data Cloud w/ financial and transaction data in Snowflake; and share data via clean room 💪 Media orgs can use 1P data in Data Cloud to power media campaigns via Snowflake clean rooms or Data Cloud ad activations

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Only 22% of responding companies are conducting regular credit checks on their customers. Are you among the few prioritizing financial stability? Dive deeper into the insights from the SSON Data and Analytics report.

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This was a great conversation with a great partner, Neo4j. If you want to hear more about the collision of knowledge graphs and gen AI, see the information below! #ExplainableAI #TrustworthyAI #KnowledgeGraphs

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Join us in San Francisco at Snowflake’s #DataCloudSummit ❄ this June! 🚀 Discover how you can elevate your commercial data in Snowflake with Delpha's quality score, metadata, and value recommendations, and get AI ready. Don't miss this chance to transform your data game! ✨ #dataquality #AIready #DataCloudSummit

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Here is a condensed version of my Braindate by e180 sessions at Databricks Data + AI Summit NVIDIA Spark RAPIDS in Amazon Web Services (AWS) EMR provides 2x-5x acceleration and 30% cost savings for the 25% most GPU friendly queries NVIDIA Spark RAPIDS in Microsoft Azure Databricks provides 34% cost savings Use NVIDIA Spark RAPIDS qualification tool to predict the speedup up your workload Use Speedata.io Spark workload analyzer to predict the speedup of your workload Speedata.io delivers 20x-200x acceleration and 50x better performance/$ than CPUs and GPUs

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LendingTree, the latest company coming forward announcing data breaches linking back to Snowflake. A short list of known others include: Ticketmaster Santander Anheuser-Busch Mitsubishi Corporation Allstate State Farm Snowflake has roughly 22k customers. Will this end up surpassing the Progress MOVEit? What are your thoughts? #cybersecurity #mfa #IT #databreach #data #dataleak #dataexfiltration #ransomware #extortion #supplychain #darkweb #identity #indentitytheft https://lnkd.in/gMJVJPMe

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In #SmartsheetForward, Smartsheet SVP of Product Experiences Ben Canning is sharing the latest innovations that will make it easier to uncover, view, and understand your data insights. https://ow.ly/40VO30sCyGt

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