Marco Mannarino

🗓️ If you're a data enthusiast local to Toronto, mark your calendars and join the upcoming GINQO meetup, where I be a panelist speaking about Data Products, AI and all the exciting stuff announced at Qlik Connect! It's time to talk data :) #AI #DataProducts #TorontoTech #Meetup #Networking

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Databricks Sees Compound Systems as Cure to AI Ailments Another well writeen article by Alex Woodie in Datarama "The solution, according to Databricks, is to build compound #GenAI applications that utilize the best of each #LLM. With today’s updates to its #Mosaic AI platform, Databricks says customers can string together compound AI systems that connect LLMs to customers’ data using vector databases, vector search, and retrieval augmented generation (#RAG) capabilities." https://lnkd.in/giuNi_5Q

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Join PyTorch at Snowflake's #DataCloudDevDay on June 6 in San Francisco to learn how to accelerate GenAI performance with Native PyTorch. Register: https://hubs.la/Q02xQStt0

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🚀 KAWA Analytics is the easiest way to build enterprise-grade data apps on Snowflake From risk management to dynamic pricing, ESG to market abuse surveillance, KAWA AI Co-builder makes it effortless. 🎥 Watch our product manager Narjisse Bouri demonstrate how to build a market abuse monitoring system in no time.

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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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Calculating rolling statistics that remain robust despite gaps or nonuniform time-series data is challenging. Snowflake's RANGE-based window functions make it easy and accurate. At Snowflake, we are committed to helping customers derive meaningful insights from data with simplicity and speed. That’s why we’re thrilled to announce the general availability of our enhanced RANGE-based window frame, which will help accelerate time-series analytics ⭐️

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Databricks: The Power of Delta Lake and Lakehouse Architecture - Big Industries recently entered into a partnership with Databricks, the leading cloud-based Data and AI platform. With Databricks, Big Industries customers can transform their data into actionable insights and drive business outcomes. https://hubs.ly/Q02sfY9k0

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At Qlik Connect we announced our new strategic integration with Databricks #AI Functions to accelerate AI-driven business outcomes – a move I believe that will only help push us and your business in the right direction. Find more about them and their initiative on ensuring customers have the flexibility and control they need when managing #data here ⬇️ https://bit.ly/3VAlAwZ

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What are your chances of getting good insights from talk-to-your-data products (such as Databricks Genie), if you're still arguing about what an "account" means internally? The more you shift left your AI and BI stack, the more pressure you put on said data teams to get their definitions right. But are we barking the right tree? https://lnkd.in/gg9yB5_2 (Alternate title: preventing the dreaded dashboard where you business grows and shrink). #databricks #data #ai #genie #talktoyourdata #dataposture

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Our latest blog post dives into the Day 1 of the ❄ Snowflake #datacloudsummit, with coverage of the opening keynote led by Snowflake CEO Sridhar Ramaswamy, and featuring NVIDIA CEO Jensen Huang. The keynote included announcements on how Snowflake is enabling enterprise-grade AI, followed by a panel discussion with CDOs from some of the biggest companies globally and in the US. https://lnkd.in/g9t6hfRA Read our recap on: - The introduction of Polaris Catalog - Snowflake Artic now supported by NVIDIA TensorRT-LLM - the integration of NeMo Retriever into Snowflake Cortex AI - Highlights from the panel discussion including the changing role of the CDO; their strategies on how to drive data transformations at their organisations; and how different industries are adopting GenAI. #CloudShuttle #dataengineering #techcommunity

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Our commitment to AI-driven solutions and strong alliances with Snowflake and Databricks are enabling significant advancements in data management and analytics. Check out this SiliconANGLE & theCUBE article where Rob Strechay and George Gilbert discuss how Informatica remains at the forefront of data management, consistently driving innovation and customer success:

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#DatabricksSQL warehouses provide up to 12x improved price performance over standard interactive clusters. You can now use Databricks Notebooks on SQL Warehouses to write and schedule Git-backed, multi-statement, and parameterized SQL👇 https://dbricks.co/4agOeJo

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Snowflake teams up with Anthropic to integrate Claude 3.5 into Cortex AI, offering secure, scalable AI solutions for enterprises to drive innovation and efficiency. Read the full news - https://lnkd.in/d6g2dnKH #Snowflake #Anthropic #ClaudeAI #GenerativeAI #EnterpriseAI #DataCloud #AIInnovation #WorkflowAutomation #TechPartnerships #FutureOfWork #techedgeai

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Nate Nichols has been researching, building and deploying AI systems for 15 years. He does a great job breaking down the basics to help you with an AI roadmap to get started in your organization. Watch Nate and reach out if you want to learn more!

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Our newest whitepaper shares how combining data and #AI tools like Plotly and Databricks can help you gain a competitive edge through interactive data insights at scale. 🛠️ Read about:  • Definition and features of production-grade data apps • Strategies for using Plotly to develop, share, and scale your data apps • Insights into the Plotly × Databricks partnership and its impact on AI, IoT, and analytics Learn from industry leaders like S&P Global, CIBC Capital Markets, and Uniper on how they are leveraging these tools to style, share, and scale data-driven insights securely and efficiently. https://lnkd.in/gN5r7ZGf P.S. Next week, we’ll be at the #DataAISummit! If you’re interested in learning more about #Plotly + #Databricks, schedule a meeting with us: https://lnkd.in/gmFn48wz #dataapps

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GPU acceleration for data processing is no longer a “cutting edge” strategy for data driven organizations, it’s becoming the norm and an efficient way to supercharge development and production of AI models and analytical workloads. Join us on July 31st to learn how SQream can enable your organization to streamline your Data Lakehouse strategy at a significantly lower cost leveraging GPUs for ETL, big data processing, complex analytics and more.

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Read this great story from hipages Group on how they overcame challenges including legacy data systems slowing productivity and insight, requiring days to transition data between multiple warehouses. Partnering with Databricks hipages overcame these hurdles by transforming their data architecture into a single lakehouse architecture, enhancing both speed and reliability.  “We were able to tackle all our platform, productivity and insights challenges by migrating to a single platform, Databricks. Our architecture is more streamlined and our data users are more autonomous.” — Minas Kamel, Senior Product Manager, hipages #data #ai #lakehouse https://lnkd.in/gfXSqNSy

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