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Introducing Explore — an all-new experience for slicing, dicing, and visualizing data. Explore gives everyone the analytical powers of Hex in a familiar, no-code UI, with: 🐉 Drag & drop - Add dimensions and measures to a visual canvas 🎨 Pivots & viz - Customize, color, and group data... show more

Hex

7,002 subscribers

25,325 views • 1 year ago •via X (Twitter)

Science & Technology Education

Anya Rossi• Live Now

Private livecam show

5 Comments

Abhi Sivasailam1 year ago

Big.

Dominik Moritz1 year ago

Again, killing it.

Scott Condron1 year ago

The value of being able to consume dashboards and then leap off to explore resonates with me so much. Mostly because I feel just a little bad every time I ask the data team for ‘one more slice’ that may or may not reveal any actual insights.

pun life1 year ago

amazing set of features

Luca Baggi1 year ago

You should’ve called it Hexplore 👻 congratulations for the launch!

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Andrew Bolis

36,504 views • 10 months ago

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128,180 views • 1 year ago

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Andrew Ng

118,937 views • 1 year ago

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55,035 views • 17 days ago

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Andrew Ng

85,012 views • 1 year ago

I made an AI data science team with Python. I'm excited to share my new project, the AI Data Science Team, a Python package for creating AI co-pilots and agents to assist in common data science tasks. I walk you through the GitHub page, showcasing the progress and potential of this project. I'll explain how these agents can streamline tasks like code generation and modeling pipeline creation, making data science projects more efficient. Introduction to AI Data Science Team Project Integrating Human-in-the-Loop Example: Accessing Agents for Feature Engineering Setting up Feature Engineering Agent Code On GitHub: Python AI-Tips Newsletter (stay updated as I build this project in the open):

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Matt Dancho (Business Science)

11,799 views • 1 year ago

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 views • 10 months ago

GeoLibre v2.1 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release adds a QGIS-style Browser panel for exploring data from one place, animated route playback with video export, Wikipedia knowledge cards, and Mapillary street-level images. What's new in v2.1.0 - Browser panel (Data Source Manager): explore and add data from one place. Browse map services, connect to PostGIS databases and drill into their schemas and tables, open local files, and save Favorites, all with full keyboard navigation. - Route animation: send a marker along any line layer, follow the track in 3D with camera controls, and export the whole animation as an MP4 video. - In-browser object detection: run ONNX/YOLO models directly in the webview, with no server or Python required. - Map recording: capture the map canvas, or a drawn bounding box, straight to a video file from the browser. - Native-resolution photo viewer: view geotagged photos at full detail right on the map. - Wikipedia knowledge cards: click any place to pull up its Wikipedia summary and info card. - More planetary basemaps: USGS imagery for nine more celestial bodies, plus a new OpenAerialMap imagery search plugin. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

GeoLibre v2.1 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release adds a QGIS-style Browser panel for exploring data from one place, animated route playback with video export, Wikipedia knowledge cards, and Mapillary street-level images. What's new in v2.1.0 - Browser panel (Data Source Manager): explore and add data from one place. Browse map services, connect to PostGIS databases and drill into their schemas and tables, open local files, and save Favorites, all with full keyboard navigation. - Route animation: send a marker along any line layer, follow the track in 3D with camera controls, and export the whole animation as an MP4 video. - In-browser object detection: run ONNX/YOLO models directly in the webview, with no server or Python required. - Map recording: capture the map canvas, or a drawn bounding box, straight to a video file from the browser. - Native-resolution photo viewer: view geotagged photos at full detail right on the map. - Wikipedia knowledge cards: click any place to pull up its Wikipedia summary and info card. - More planetary basemaps: USGS imagery for nine more celestial bodies, plus a new OpenAerialMap imagery search plugin. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

11,627 views • 16 days ago

Introducing PostHog 3000 & Notebooks 🎉 As an end of year gift to our awesome users, we've released a major overhaul of the PostHog user experience. Our goal with this redesign is to make PostHog feel less like a SaaS app and more like a dev tool. ✅ It's got dark mode! ✅ It's got data density! ✅ It's got side panels! ✅ It's got... notebooks? Notebooks is a new, free feature that's integral to the PostHog 3000 experience. Think of them as an ever-present place to collect data, explore it, add context, and share with others. Investigating a bug report? 🐞 Drag and drop session replays into a notebook. Researching a new idea? 💡 Collect insights and add them to your proposal seamlessly, alongside survey results or cohorts. Planning a launch? 🚀 Embed the feature flags, events, persons, or cohorts you'll need to deploy changes and track success. Notebooks make analyzing data and sharing your findings effortless – see the video demo for more. We have way more planned for Notebooks and PostHog 3000 in 2024, such as: 🔔 A new activity feed 📔 Notebook templates ⌨️ Way more keyboard shortcuts 💬 Comments, replies and mentions (coming very soon) We hope you enjoy the update and, as ever, please share your feedback (it's even easier to do in PostHog 3000!). Thank you for your support. 🙌

Introducing PostHog 3000 & Notebooks 🎉 As an end of year gift to our awesome users, we've released a major overhaul of the PostHog user experience. Our goal with this redesign is to make PostHog feel less like a SaaS app and more like a dev tool. ✅ It's got dark mode! ✅ It's got data density! ✅ It's got side panels! ✅ It's got... notebooks? Notebooks is a new, free feature that's integral to the PostHog 3000 experience. Think of them as an ever-present place to collect data, explore it, add context, and share with others. Investigating a bug report? 🐞 Drag and drop session replays into a notebook. Researching a new idea? 💡 Collect insights and add them to your proposal seamlessly, alongside survey results or cohorts. Planning a launch? 🚀 Embed the feature flags, events, persons, or cohorts you'll need to deploy changes and track success. Notebooks make analyzing data and sharing your findings effortless – see the video demo for more. We have way more planned for Notebooks and PostHog 3000 in 2024, such as: 🔔 A new activity feed 📔 Notebook templates ⌨️ Way more keyboard shortcuts 💬 Comments, replies and mentions (coming very soon) We hope you enjoy the update and, as ever, please share your feedback (it's even easier to do in PostHog 3000!). Thank you for your support. 🙌

PostHog

26,263 views • 2 years ago