Plotly

Nobody joins a renewables and new energy team hoping to run servers one day. But that's where a lot of small teams end up. They're scientists and engineers, and they build good Python apps for curtailment, turbine performance, and yield. Then every app needs somewhere to run, and every new site adds another one. The question every buyer asks is the same. Why can't we just build it ourselves? You can, and coding agents make it faster than it used to be. But then someone on a small team owns the login, the hosting and the support every year after, and that's time taken from the work you hired them for. Dash Enterprise takes that job off the team. IT installs it with Helm, the same way it installs the rest of its stack, and from then on the scientists publish their own apps. Your secure coding agents can deploy, read the logs and debug through its command-line tool, so a broken app at one site doesn't wait for a developer you don't have. Every site's apps sit on one platform, and you can see all of them from a single screen. Your scientists stay on the science. Your IT team runs one platform. See what Dash Enterprise does for renewables and new energy: https://lnkd.in/guS9uFK5

We're excited to announce Plotly's next webinar showcasing the backup, restore, and high availability features of Dash Enterprise. Featuring Erik Moore (Head of Product & Engineering for Dash Enterprise) and Chelsea Douglas (VP of Customer Success), this webinar will show how you can ensure that your mission-critical applications are resilient in production environments. ✅ Reserve your spot!

You asked, we delivered. Plotly Studio just shipped a wave of new upgrades — and we’re showing them off LIVE. 🙌 Join us Dec 16 at 11am ET for a demo-heavy, technical deep dive into the latest features powering the next generation of vibe analytics. What’s new: • Enterprise data connections • Enhanced chart exploration • Faster workflows • In-app reference docs • And so much more! Whether you're building AI-powered data apps or just getting started with Studio, this session will show how to turn data into insights without the coding chaos. Save your spot! https://lnkd.in/gck3ARn6

🎙️ Meet the minds behind the 𝘚𝘵𝘢𝘵𝘦 𝘰𝘧 𝘝𝘪𝘣𝘦 𝘈𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘴! Join us on November 18 at 11 AM EST as John Allwright, Director of Product Marketing at Plotly, sits down with Michael Schrage, Research Fellow at the MIT Sloan School of Management Initiative on the Digital Economy, to unpack how AI and vibe coding are reshaping the way teams analyze and communicate with data. Michael’s research at MIT explores how AI and machine learning transform KPIs, capital flows, and decision-making, and he’s now applying those insights to the emerging field of vibe analytics, inspired by Karpathy’s work on vibe coding. On November 18 at 11am, expect a thought-provoking discussion on how analytics teams are adapting, what new skills are emerging, and what the future of “coding in English” means for data professionals everywhere. 🎟️ Save your spot: https://lnkd.in/gUiiDw-t

What’s the 𝘷𝘪𝘣𝘦 in analytics today? 👀✨ We asked hundreds of developers, data scientists, and analysts how they’re using AI for data visualization and analysis — and the results are fascinating. 💡 Join us Nov 18 @ 11AM EST to uncover: • How teams are integrating AI into analytics • The tools & trends defining “vibe coding” • What the future of analytics development looks like Plus, get access to the full report and an interactive Dash app built in Plotly Studio! Save your spot! https://lnkd.in/gz8kH7ux

Stop letting publishing complexity kill your data applications. There's a strategic framework for navigating every critical decision: SaaS vs behind-the-firewall. Rapid sharing vs enterprise security. Sharing with internal teams vs external stakeholders. 🎯 Join our webinar on October 22 at 11am EDT for: → Demos of publishing workflows in action → Fortune 500 case studies balancing innovation with security → A practical framework for choosing the right approach every time Save your spot for the ultimate data apps publishing playbook: https://lnkd.in/gDDyAFND