Pave’s Post

A few years ago, I was so excited to see Mozart Data included on Matt Turck's MAD (ML, AI, & Data) Landscape. In the #dataworld, this is a big deal, and we made it! The list is long (see below), and of course includes many of my most admired data companies and best partners. It's even become a punchline about just how daunting the landscape is (every conceivable category is filled with many logos); even as someone who lives this space, I probably don't know a majority of the companies. The thing to celebrate is that we used to build these tools internally (even just a few years ago). Individually companies would hire engineers, not to build external product, but instead to produce the landscape below or a (much,) much lesser version of it. Now you can pick from the shelf amazing tools that are building this for companies at scale. While it's true, there are too many companies for everyone to win (or capture a large amount of the value created), it is worth noting the incredible utility gains (to the industry) from the rise of Data SaaS and the related tools.

🔍 𝘏𝘰𝘸 𝘤𝘢𝘯 𝘺𝘰𝘶 𝘮𝘦𝘢𝘴𝘶𝘳𝘦 𝘵𝘩𝘦 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘪𝘮𝘱𝘢𝘤𝘵 𝘰𝘧 𝘺𝘰𝘶𝘳 𝘈𝘐 𝘱𝘳𝘰𝘫𝘦𝘤𝘵𝘴? Often there is a language 𝐠𝐚𝐩 between 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 teams, who use percentages and technical metrics, and 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 teams, who think in terms of revenue. Our 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 is designed to act as a medium between data science and business role, and enables the translation of 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐦𝐞𝐭𝐫𝐢𝐜𝐬 𝐢𝐧𝐭𝐨 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐭𝐞𝐫𝐦𝐬, such as 𝐑𝐎𝐈, 𝐑𝐎𝐀, Cost Savings and Revenue Growth. 🔓 Unlock the true potential of your AI Projects with 𝐖𝐃𝐌𝐋 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 that speaks both languages fluently 🗣️

💸 Could AI Determine If You Are Underpaid? 💸 Last weekend, I participated in the inaugural SXSW Sydney AI Agent Hackathon, where I developed Bob, an intelligent Payroll Compliance Bot! Bob's mission is to streamline the financial remediation process by comparing an employee’s historical salary against the expected salary while ensuring compliance with Australian Fairwork legislation. 🧠 I’ve decided to make Bob an open-source project for everyone to use and contribute to. Note that since this MVP was built in 24 hours, you might find some interesting code, but pull requests are always welcome 😉. Check out the GitHub repository: https://lnkd.in/geSpZ7cK With this app, you can: 📊 Upload payroll data in CSV format (PDF coming soon!) 🙋♂️ Ask questions about your payroll data, such as differences between actual and expected salary ✅ Check if your payroll data adheres to the Australian Fairwork Award legislation A massive thank you to the superb Annie Liao and The Builders Club for organizing the hackathon, and special thanks to Bosco Tan for your invaluable advice! I'm thrilled to have met so many talented builders along the way, including Pratik Joe Viraj Arun Kelvin Kevin Kevork Andrew, and more. Reach out to them to learn more about their disruptive ideas 🔥. #ai #artificialintelligence #hackathon #sxsw

If you get a few minutes in the run up to Christmas the article from my colleague Sumeet is worth a read to help inform your CX experiences. https://lnkd.in/dQWv48JV

𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑫𝒂𝒕𝒂 𝒘𝒐𝒓𝒌𝒆𝒓𝒔! » Are you frustrated with time-consuming tasks? » Want to derive insights and develop predictive models without wasting your time? » Struggling to make your time productive? Revolutionalize your Business decision-making with Data Viz! From creating interactive graphics to predictive analytics and improving finance to healthcare, AI is reshaping the world of business. » Want to build the perfect, time-efficient solution for your problem? 𝑫𝒂𝒕𝒂-𝑽𝒊𝒛 is launching soon. Keep your eyes open for an update. Comment below and let me know what you expect from it. » Need data-driven solutions for your problems? DM me with "𝑫𝒂𝒕𝒂". Let's have a chat!

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We've been providing this standard and level of search results for YEARS. This is our bread and butter. Customize and and personalize the results of your specific queries. #elasticsearch #searchengineoptimization #vectorsearch

🔍Looking for ways to enhance employee experiences? Take a page from Elastic's playbook! 📚 In a recent showcase, the CEO Ashutosh Kulkarni illustrated how LLMs and vector search can elevate personalization and reduce cognitive overload. 💡✨ This powerful combination empowers employees to effortlessly access contextually relevant information that matters to them, such as navigating organizational tax elections. 📌🤩Join the conversation and share your cutting-edge ideas on leveraging Elastic's Elasticsearch to revolutionize employee experiences within your own organizations. Let's shape the #FutureofWork together! 🌟💼 #Elasticsearch #GenerativeAI 🎥 Watch the video demo by Elastic's GM of Search Solutions, Matt Riley, to see the wonders of adaptive vector search in action: 🔄 Give this post a share to inspire your network and spread the knowledge! 👍💬 #EmployeeExperience #WorkspaceTransformation #InnovationAndImpact

Okay. Some intro into what we do and who we are. Who we are? Couple of passionate builders, who are creating market research tool for marketing professionals. Why? Because we believe that data about people should be accessible not just by huge corporations, but by small and mid-size businesses to help them better understand their customers. How? We fuel our AI agent with tons of discussions around your product and enable you to play with that data and extract key opinions, concerns, statements, and sentiments.

We 🩵 vector databases. 👶🏻📊 Here's why we're so obsessed: 🗂️ They unify and index unstructured data. 🎯 They beat fine-tuning for relevance and accuracy. 🌎 They keep your gen AI grounded in facts. Fall head over heels for vector databases with us: https://t.co/I4bKz1doVQ https://t.co/ovAd97wNJQ