data.world

data.world

Software Development

Austin, Texas 18,837 followers

The Enterprise Data Catalog Platform

About us

data.world is the data catalog platform built for your AI future. Its cloud-native SaaS platform combines a consumer-grade user experience with a powerful knowledge graph to deliver enhanced data discovery, agile data governance, and actionable insights. Get fast, trusted access to your company’s knowledge when you create AI-powered data experiences with the AI Context Engine™. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500. Our company has 76 patents and has been named one of Austin’s Best Places to Work eight years in a row.

Website
https://data.world
Industry
Software Development
Company size
51-200 employees
Headquarters
Austin, Texas
Type
Privately Held
Founded
2016
Specialties
data collaboration, data science, analytics, enterprise, teamwork, open data, collaboration, data catalog, data governance, data ops, data stewards, ai, saas, and data cloud

Locations

Employees at data.world

Updates

  • data.world reposted this

    View profile for Tim Gasper, graphic

    CCO and Product Strategist at data.world, co-host of Catalog & Cocktails, Honest No-BS Data podcast

    Have you tried out the Catalog & Cocktails chat app yet? Here's a little teaser video! ➡️ 📺 Answer questions like: * What episodes are about data governance? 🔓 * What is the definition on the show of data mesh? 🕸 * Which speakers spoke about data quality? 💎 * Why is Juan Sequeda so obsessed with old fashioned cocktails and knowledge graphs? 😛 Shout out to Brandon Gadoci, VP of AI Operations at data.world, who is the mastermind behind this app! Learn more and access the app here: https://hubs.li/Q02H_FY-0

  • View organization page for data.world, graphic

    18,837 followers

    🚨 Just a reminder! Our exclusive webinar with data.world and Hakkōda is almost here. Join us on July 31st to revolutionize your public sector AI! 🚀 Don't miss out on this chance to gain insights from industry leaders Patrick McGarry, GM Federal at data.world, and Eric Barton, Director of Data Enablement at Hakkōda. Secure your spot now! 👉 Register here: https://hubs.li/Q02HXzzv0

    Data Modernization, Governance, and AI Strategies: From NOW to the Future of Gov AI - View

    Data Modernization, Governance, and AI Strategies: From NOW to the Future of Gov AI - View

  • data.world reposted this

    View organization page for DataEngBytes, graphic

    3,563 followers

    We’ve got some fantastic news for you—Juan Sequeda, Principal Scientist & Head of AI Lab at data.world, is joining us at our Sydney DataEngBytes conference! Juan’s expertise in Knowledge Graphs and data integration is top-notch, and we’re beyond excited for him to share his insights with us. Juan has a unique knack for transforming data into valuable knowledge, making this an opportunity you won’t want to miss. Stay tuned for more speaker announcements and grab your tickets now to be part of this amazing event! See you there! Tickets: https://lnkd.in/gtH5KYTA #deb2024

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  • data.world reposted this

    View profile for Juan Sequeda, graphic

    Principal Scientist & Head of AI Lab at data.world; co-host of Catalog & Cocktails, the honest, no-bs, non-salesy data podcast. Scientist. Interests: Knowledge Graphs, AI, LLMs, Data Integration & Data Catalogs

    A fantastic #HonestNoBS Dinner in Boston during CDOIQ. The takeaways: 👍 What’s working  - Easy to get ideas of new ways to drive value with data  - Knowing the business of the business  - AI hype is helping because it can be seen as a catalyst to focus on data and focus on the stuff we care about. But also a distraction  - In addition to Business Reviews, let’s have Business Forwards. Need to talk about what’s going forward - OODA loop: Observe Orient Decide Act  - Make the execs look better. But how do we find that out faster?  - Executives being specific about what they care about. Sometimes it happens if they get into an embarrassing situation because they lacked specific information - Asking: What do you know and don’t know about X? What can you know?  - Never waste a crisis. Something goes wrong. Take advantage - Investing in metadata, protocols, standards within an industry. Describe how to exchange the data that is generated automatically.  Why? Cost reduction. Also if you share bad data, then you look bad - Have the data workshop during the executive planning. Not just OKRs but also art of the possible and the hypothesis we want to test  - Focus on data processing, shift left. Analytics is post processing. However, native tech companies' learnings are not always applicable to everyone - Let business build their own thing, and have them follow a process - Data lineage 👎 What’s not working.  - Activating and executing the ideas to drive value - Change is hard. Are people afraid of change because of accountability? No one wants to be responsible if it goes bad  - Culture is hard. Divide between tech and biz - Buy in is hard, even if the ideas are good and show apparent value  - People are scared. The data they have today is the constant. People who can’t reproduce the number twice, are accountable - There is no clear vision/north star. Where do we want to go? “Our direction was directionless” - Data strategy lacking visibility of business strategy “We have a new strategy. It includes AI. But not data”  - A culture of “print the dashboard”/“report as pdf”. We should understand why that ask? Lack of trust. Want it printed because they want the evidence in case the numbers change. Need to meet people where they are.  - Clear high level mission of the organizations but it may not connect with the “rank and file” - People don’t know what they are looking for - Not being open minded. On metrics: I don’t care if it’s wrong. I want a discussion.  - Defining what X means - One mistake now the perception is that all data is bad - Hide behind industry norms "No one does this well" so why do you want to be in second place? - Implement transaction systems and the biz doesn’t even know what’s in the system - Putting tech in before identifying the problem - Blueprints aren't valuable until the bridges fall down, and you don’t want to be on the bridge when it falls down. Favorite quote: “Sometimes buying in requires letting go”

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Funding

data.world 7 total rounds

Last Round

Series C

US$ 50.0M

See more info on crunchbase