Phil Eichmann

We’re excited to announce that the @EinblickAI team will be joining @Databricks! databricks.com/blog/welcome-d…

🚀 Announcing Einblick Prompt AI for #JupyterLab! ✨ Revolutionize your data workflow with #GenerativeAI . Generate, modify, and debug code effortlessly! 📊 Dive into the future of #DataScience today. @ProjectJupyter Check it out: einblick.ai/ai-einblick-pr…

Announcing ChartGen AI on @ProductHunt! Create beautiful charts & graphs from your data with just one sentence. No more fiddling with toggles & sliders. Upload a dataset, describe the chart, and generate instantly! Download as a PNG or SVG. Check us out: producthunt.com/posts/chartgen…

⚡ Are generative AI "assistants" and copilots effective for #DataAnalytics and #DataScience ? ⚡ In the second in our series covering popular #GenerativeAI apps, we test out @github copilot and our AI agent, Einblick Prompt. einblick.ai/blog/einblick-… #chatgpt4 #openai

Ever wondered how to leverage #GenerativeAI for #DataScience and #DataAnalytics? Check out how data scientist, Paul Yang, used our recently launched AI agent, Einblick Prompt, to analyze customer responses to a promotional campaign. YouTube link ▶️: youtube.com/watch?v=n_Y4Dx…

🏗 Jupyter Notebooks meet #ChatGPT: early learnings from building an app with generative AI 🏗 We're all building with #GenerativeAI for the first time, so we wanted to share early learnings from Einblick Prompt--still in beta. #Python #DataScience einblick.ai/blog/building-…

Text to data transformation workflows, like those enabled by @EinblickAI Prompt, will undoubtedly enable data practitioners to unlock the same productivity gains that developers are achieving with tools like Copilot.

Hard to comprehend the speed at which language capabilities will remake application UX. Amazing new analytics capabilities from @EinblickAI leveraging @OpenAI and @langchain

"Data science is an #art form" 🎨 Do you agree? Check out our blog below to hear more about what one of our data scientist's, Paul Yang, has to say on the topic. #datascience #machinelearning #python #design #startup #startupideas einblick.ai/blog/data-scie…

Meet Einblick’s revamped #Python canvas! Built for #DataScience teams to solve complex problems. Watch the limitless possibilities unfold in our multidimensional, supercharged platform. More functionality than #Jupyter notebooks packed into the sleek UI of an interactive canvas.

🐍We’ve created for #datascientists what #Figma did for designers 🐍 Introducing Einblick’s revamped #Python canvas: an interactive canvas packed with the functionality of tools you love, while connecting everyone in the #datascience process. Try it free: einblick.ai/blog/launching…

ICYMI, check out our new feature update: Whether you're using a CSV, database, or #Python dataframe, Einblick lets you query that data using #SQL syntax. Never struggle with #pandas data manipulation (or worse, Excel) ever again! 🐍 lnkd.in/d_WKGmgU

Thrilled to have been selected for the first-ever US cohort of Intel Ignite, Intel’s acceleration program for deep tech #startups. It was so great kicking off last week! 🚀 You can read more in the official press release here: lnkd.in/db9xws2Z #datascience #innovation

NEW FEATURES: from a linear #python notebook to a #datascience canvas. Evolve past legacy tools. Reimagine work in an unbounded canvas, designed for data scientists to accelerate time to insight. Import your notebook now 👉einblick.ai/blog/notebook-…

What does the data tell us about the wage gap in Boston in less than 15 minutes? Watch this quick walkthrough of an analysis using Einblick. bit.ly/3HIAN6f #automl #DataAnalytics #DataScience

@MartinHTrauth @MitraJoon for folks considering new tools, checkout @EinblickAI it's an interactive canvas to explore, process and model data, and you can plug in your own scripts where needed. Plus, it's super fast.

@MartinHTrauth @MitraJoon @py_einblick recently posted a similar article einblick.ai/excel-is-amazi…

@Buy_The_Dip_ checkout @EinblickAI - you can use SQL, Python/Pandas on an interactive canvas and do a lot of common operations like joining tables, querying and plotting data, visually.

@data_nerd checkout @EinblickAI - you can write your SQL queries on an interactive canvas and either use visual tools or straight up Python/Pandas to explore, transform, and model data. Added benefit: all computations are executed progressively, so it's super fast.

@haltakov @tryMito checkout @EinblickAI - it's got a visual interface to explore, process and model data, and you can plug in your own scripts where needed. Plus, it's super fast.

I like Excel for exploring tabular data, but I like Python and pandas for processing it. Mito (@tryMito) looks like a nice little tool to combine both. It integrates into your Jupyter environment and lets you explore and edit data syncing the changes to the code.