Chris Formeller, CP’s Post

Thanks for all your feedback! We've listened and put your suggestions into action with 5 new #MapBrowser enhancements to help you get the results you need, faster and more efficiently.    Check out our latest updates next time you log in and see how you can unlock more data-driven collaboration across your team. 👇    𝟭. 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆  Reduce provisioning for colleagues on new software to collaborate on projects.  𝟮. 𝗠𝗼𝗿𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝘄𝗶𝘁𝗵 𝗳𝗲𝘄𝗲𝗿 𝗰𝗹𝗶𝗰𝗸𝘀 View summarized parcel details such as area, plot number, objects, vegetation, or your AI layers immediately after clicking on a property.    𝟯. 𝗔𝗱𝗱𝗲𝗱 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀  Drop markers and add details on locations that matter to you in an organized list to refer back to at any time.     𝟰. 𝗡𝗼 𝗺𝗼𝗿𝗲 𝗯𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘂𝗽 𝗶𝗻𝘁𝗼 𝘀𝗺𝗮𝗹𝗹𝗲𝗿 𝗽𝗮𝗿𝘁𝘀  Say goodbye to the hassle of stitching multiple exports of tiles together – we've increased our export size to save you hours of tedious manual work.     𝟱. 𝟱𝟬+ 𝗻𝗲𝘄 𝗔𝗜 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀  Deepen your insights with significantly enhanced machine learning capabilities and access to more than 130 AI layers.    Learn more at https://lnkd.in/gw65ij2b    #NearmapNextUp #LocationIntelligence #GIS

Merry Early Christmas from Nearmap 🎁! With this release, #MapBrowser users can now collaborate in real-time, export high-resolution 2D images (including irregular areas) to streamline offline workflows especially during time-critical operations, and leverage 50+ new AI features for deeper insights. Such a game-changer! So honored to be part of this launch in my first month with this brilliant team 🚀 #Nearmap #GeoAI #AerialImagery.

Exciting updates are coming to MapBrowser! 🚀 New collaboration tools, enriched parcel details, 50+ AI layers, and more. Video below to learn more.

Repositories get a bad rap for being hard to manage and even harder to navigate. But what about AI-powered repositories? What can they do differently? Here are 4 big benefits teams get from using a repository like Marvin: 1️⃣ You can centralize user insights in one place. This makes it easier to communicate learnings to stakeholders. 2️⃣ Optimize your research resources by using the repository to replace time-consuming manual tasks like transcription, tagging, and importing data. 3️⃣ Speed up the time it takes to get valuable insights to stakeholders, which also speeds up improvements to the user experience. 4️⃣ Empower the team to make data-informed decisions based on user insights in the repository. What do you think — want to try it out for yourself? Book a demo: https://lnkd.in/ecykWkAd

Transforming the Workato Dependency graph into a comprehensive near real-time flowchart insight, showing recipe dependencies and properties such as Lookup Table, Message Template, connector, etc. It includes a search function and a chatbot powered by LLM. #productivityhack #chart #processflow #designthinking #workato #analytics #insights #genaiusecase #llm

I made a thing and I need you to break it 🔨 I took all of my ClickUp data, sanitized it, and added it to a vector database. Then, I created an interface that allows you to ask whether Datos can help with a specific type of project. (Link below) Based on my instructions and ClickUp data, AI will respond and even give you examples of similar projects we did (if any). It can also tell you if we don't do something 🙅♂️ Do you think it's useful? How can I improve it? My end goal: I plan to train the chatbot with time tracking data to be able to give a rough estimate of project cost and compare that to potential ROI, and show a graph of cost savings over time. This is v1, that's v4. In my tests, the answers have been remarkably accurate and provide just enough detail to show that we've actually done some work in that space. I then make it easy to get in touch with the team directly since that's what we ultimately want.

𝟓 𝐖𝐚𝐲𝐬 𝐭𝐨 𝐌𝐚𝐱𝐢𝐦𝐢𝐳𝐞 𝐂𝐥𝐚𝐮𝐝𝐞 𝟑.𝟓 𝐒𝐨𝐧𝐧𝐞𝐭'𝐬 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 (𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐭𝐡𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐮𝐫𝐯𝐞) Claude 3.5 Sonnet is revolutionizing workflows for creators and business professionals. Its game-changing Artifacts feature allows users to: - Write code and applications quickly and easily - View and edit code snippets, text documents, and designs in real-time - Build on Claude's creations without leaving the chat - Seamlessly integrate AI content into projects 𝐅𝐢𝐯𝐞 𝐬𝐢𝐦𝐩𝐥𝐞 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬: 1. Interactive data dashboard 2. Mindmap creation 3. Interactive product configurator 4. Automated report generator 5. Game-like business strategy simulator Claude 3.5 Sonnet is a powerful tool to enhance productivity and streamline workflows. Have you tried Claude 3.5 Sonnet yet? What was your experience? ------------------------------- Found this helpful? Please like and repost ♻ Follow Emmi Kim to stay informed!

Introducing Dash0: The OpenTelemetry Native Observability Tool Meet Dash0, the only observability tool built from the ground up to work natively with OpenTelemetry. With Dash0, get real-time insights into your metrics, logs, and traces without any proprietary data, bringing you complete transparency and control over costs. After 15 months of development alongside top industry partners, Dash0 offers the simplicity and clarity you need in tracking and analyzing performance. Its fully customizable dashboards let you dive into data exactly how you want, without any hidden surprises or limitations. Because details matter: - Zero lock-in - Zero surprises - Zero hassle Dash0 is now live on Product Hunt! 👉Show your support and check it out here: https://lnkd.in/d_yH7XbG

A big category of “advanced RAG” applications is to expand the output to be a unit of knowledge work, beyond an unformatted chatbot response. More specifically, this “unit” can be a full research report, slide deck, or Excel spreadsheet. This has been a big topic of interest to our users, and we’re putting increasing emphasis on providing report generation examples. A key ingredient is proper multimodal parsing, allowing you to generate reports with both text and image citations. Our tutorials below show you how to build agentic report generation systems using LlamaIndex, LlamaParse, and LlamaCloud. Basic report gen: https://lnkd.in/geP9f3YB Report generation agent: https://lnkd.in/gysueJik If this use case resonates, signup for LlamaCloud and come talk to us!  https://lnkd.in/gi8dxGnt https://lnkd.in/g5648-ip

Introducing Jumprun 🏃🏼♂️ an innovative AI platform revolutionizing web research... Experience a seamless creation of dynamic storyboards, curated with diverse content and media resources. This impressive AI tool is available to use for free! You can gather content from these and more: ✅ Web search ✅ YouTube ✅ Twitter/X Try it out and let us know your thoughts in the comments. #AItools #AIResearch #Jumprun https://jumprun.ai