Zipstack is a modern data platform for the modern enterprises.

Dataverse
Joined July 2022
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Join Unstract at @ITI_Insurtech, NY 2024! Discover how to successfully navigate AI in automating insurance workflows with Kevin O'Brien and @narenism @ #Booth 419 Ask us how to leverage AI to eliminate manual processes involving unstructured data. #insurtech
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➡ In simple terms, Data products are like tools made by a team of people to help other people do specific tasks. These tools are valuable based on how well they work for the users and what results they deliver. #dataproduct
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➡ But often, this process doesn't work as well as it should. To fix this, some experts suggest treating data like a product, which means handling it differently. It's essential to understand that just having data assets doesn't make them data products. There's a clear difference
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➡ In an organization's data system, data is collected, refined, and turned into useful things like datasets, tables, findings, and predictions. These are meant to help make decisions based on data. #DataAnalytics #DataDriven
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Confusion about Data Products is slowing adoption, thwarting progress, and leading organizations astray. Here's a common misconception: Data Products Are Merely Data Assets, Renamed. Here's why this simply isn't true. #dataproducts #data #dataops #DataManagement
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So, while the answer isn't an unequivocal "yes" to transforming all your data into #DataProducts, the possibilities are expanding, thanks to evolving technologies. Download our FREE Ebook to explore this in detail: zipstack.com/misconceptions-…
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Considering the vast scale of the dataset, the prospect of converting an entire organization's data into Data Products is simply unattainable. Moreover, pursuing such an ambitious endeavor is neither justified nor recommended.
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➡️And let's not overlook the treasure trove of data from partners and external sources, enriching your organization's insights. #dataproducts #dataengineering #DataAnalytics
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➡️ Don't forget "Data Exhaust" - data generated as a byproduct of people's online actions and choices. Examples: clickstream data, doctors' notes, customer service chats, and more. #datamanagement #genai #dataproducts
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➡ Firstly, organizations amass an extensive array of data for diverse purposes. Yet, a significant chunk of this data remains in the shadows, seldom utilized. We're talking about the "dark" or dormant data. #darkdata #dataproducts #ETL #dataproducts #dataengineering
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❓Should ALL data be transformed into Data Products? 🤔 Shouldn’t an organization transform all of its data into Data Products? 👉 The answer is a resounding NO for a number of reasons. #DataProducts #datamesh #data #DataManagement
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In conclusion, Generative AI doesn't eliminate Data Products; it enhances them! Embrace the power of both for a transformative data-driven journey. Download our FREE Ebook for more details. zipstack.com/misconceptions-…
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✨Generative AI understands natural language, democratizing data access. Imagine citizen data users multiplying rapidly! It ensures security, minimizes overlapping usage and promotes awareness of shared assets for efficient data utilization. #DataAccess #DataSecurity
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💡 Unleash the untapped potential of dark data with Generative AI! Decision-makers gain real-time insights from various sources, making data products a guiding light to prioritize and leverage valuable assets. #GenAI #DarkData #DataProducts
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👉Acknowledging the potential of Generative AI, but aligning applications with Data Products' principles to avoid wasted time and resources. By integrating Generative AI into Data Products, we mitigate risk and maximize value. #DataProducts #GenerativeAI
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Let us unequivocally answer that with a resounding "Yes!" In fact, as organizations dive into Generative AI, Data Products become even more vital.
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The idea that Generative AI eliminates the necessity for Data Products is a misconception. 🧐 With all the buzz around Gen AI, it's crucial to address a common misconception that Data Professionals may encounter. Are Data Products still necessary in the age of Generative AI?
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Zipstack retweeted
Many founders fr India visiting SF Bay Area in Sept, excited to meet you at @saasboomi Caravan, @SaaStrAnnual! Since last yr, we've partnered w many new India/SEA->US founders incl @supabase, @PortkeyAI, @zluri_hq, @thenaplatform, @ZipstackHQ, @CommandKDev, @scrutsocial, others.
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📥 Don't miss out on this chance to transform your data strategy! Download the FREE e-book now and unlock the true potential of Data Products. It's time to harness the power of data and drive innovation in your organization. Get ready for a data-driven future! #DataRevolution
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💪 Empower your organization with the potential of Data Products! By reading this e-book, you'll arm yourself with knowledge that can revolutionize your data-driven initiatives. Don't let this opportunity pass you by. Download the e-book today and embark on your data journey!
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