Patterns Data Systems

AI Analytics generated before you can find your dashboard.

[Chris Stanley @christanley22]

🚀 Patterns Launch: AI Agents for Financial Analysis and Reporting 🚀

tl;dr:
- Try the demo here: https://t.co/3kMzaKzIlA
- Product demo video: https://t.co/jNQ4bwSxHt

**The Reporting Struggle**
Finance teams are expected to provide strategic insights but often lack the technical skills or resources. They struggle with complex data scattered across multiple systems like ERP, CRM, payment processors, and banking solutions, especially during month-end close processes and financial reporting to stakeholders. This presents a significant opportunity to streamline reporting and push impactful insights.

**Superpowers for your finance team**
Patterns is designed to bridge this gap and empower analytical finance professionals to unlock the full potential of their data. Our AI financial analyst, the Patterns Agent, converts natural language requests into database queries, making it easy for anyone to get answers to do analysis on the financial data of the company. With Patterns, finance teams can:
- Efficiently navigate through complex financial data during month-end close processes
- Generate accurate and timely reports for stakeholders, such as investors and partners
- Have a user-friendly "reporting interface" for non-technical users to access financial insights
- Quickly respond to ad hoc financial questions from across the organization
- Identify opportunities to optimize financial performance and drive bottom-line growth

Patterns Agents operate at a level above text-to-SQL tools. Our Agent has advanced planning, reasoning, and reflection capabilities to simulate the meta-cognition of a skilled financial analyst. Our agents are autonomous and equipped to handle the complexity of multi-step analyses that are commonly found in the financial sector. They can:
- Understand and clarify questions, ensuring the request is answerable given the data and capabilities available.
- Plan and execute multi-step financial analyses with strategic plans involving multiple data queries.
- Generate optimized SQL queries, iterating and correcting any errors or empty results to guarantee reliable outputs.
- Evaluate and cross-check results against prior financial reports and data to maintain consistency and identify any discrepancies or anomalies.
- Create interactive visualizations such as cash flow waterfalls, revenue dashboards, and expense breakdowns.
- Deliver actionable financial insights by interpreting and analyzing query results and charts such as identifying cost-saving opportunities or highlighting areas for revenue growth.
- Generate comprehensive financial reports by compiling multiple queries, charts, and derived insights into a final, presentation-ready report, streamlining the communication of financial information to executives, investors, and other stakeholders.

[AI Agents Global Challenge @aiagentsglobalc]

An interesting post by @patterns_app on Text2SQL and specialist AI Agents for text-to-analysis https://t.co/JEi4ZbDG5c

[Chris Stanley @christanley22]

🚀 New AI Data Analyst Features at @patterns_app

This week we shipped a number of features on our journey towards creating thinking, reasoning, and proactive AI data analyst bots. You’ll find Patterns bots now self-correct query errors and can interpret charts. Here’s a comprehensive list of what we shipped:

- Auto-retry for error messages in chat
- Added SSL support for storages
- Added Redshift support
- Added background storage scanner that ensures Patterns has latest information from user databases
- Significantly improved suggested questions feature by including sample data in the question generation prompt
- Significantly improved query correctness by improving the table metadata structure
- Chat requests now have an id assigned to them for easier tracking
Moved scheduled background jobs to separate execution environment so they don’t degrade the users experience
- Added better support for layers within Vegalite charts

Upcoming
As we enter the second half of March we’ll be improving AI generated reports and developing capabilities for hosting your own AI data bots and integrating into your own applications.

Ping me if need help setting up Patterns or if you’d like to learn more about our roadmap.

[Gurpreet Singh @gnurpreet]

Good amount action on "Chat with your data" AI initiatives. People seem to be taking the nat lang query > SQL query > Query results approach. Featured:
@patterns_app
and
@newrelic
"Ask AI" feature

[xyflow · React Flow · Svelte Flow @xyflowdev]

@hayleighdotdev @Fossbckstg Some shoutouts in this season's update:

✨ An amazing collaborative flowchart example by @liveblocks
🏨 A case study on how we use @nhost
🚀 A launch by @patterns_app
⚖️ Adjusting our ToS, inspired by https://t.co/VtGh7tCiua from @EthicalOSS

[Product Hunt Hi @ProductHuntHi]

@patterns_app FYI, Patterns was posted on @ProductHunt https://t.co/2WOy0AaJn3 — Invite your teammates to join as Makers 🙌

[WorkWithAI.com @Work_With_AI]

🦾Tools
/1: @patterns_app launched on @ProductHunt with their tool to connect your business data to an AI like ChatGPT to create custom business actions and tools.

https://t.co/AthYPZCwYr

[Pietro Casella @PietroCasella]

@patterns_app Has a fresh take for building backend-ish data apps. Strikes the right balance of low-code (boilerplate), code (for high-ceiling stuff), elegant uses visuals for flow clarity, and built-in AI blocks in a way that makes lots of sense. #coolsoftware 👏👏👏

[Ivan Porollo @iporollo]

New year, more AI news - market bubbles, BingGPT, hackathons, and more ...

Shoutout to @SashaKaletsky @Contrary_Res @aaronpholmes @patterns_app @scale_AI @aleyda @imjaredz @httpie for writing about & building cool stuff to surface

Check it out👇
https://t.co/iPjT9ZjWOo

[Patterns Data Systems @patterns_app]

Check out how we used prompt engineering w/ DaVinci-003 on our own docs for automated support:https://t.co/1E5VePKbuO

Discussion on Hacker News: https://t.co/PSdEWhBt7A

#gpt3 @OpenAI #AI

[Patterns Data Systems @patterns_app]

@LittleBigFrogBI @DataPolars Hey @LittleBigFrogBI - not at the moment, but possibly we can expedite that. Would love to learn more about your use case, shoot me a message here - https://t.co/ArgMjLF0Xv

[Patterns Data Systems @patterns_app]

Launched on Hacker News today and dropped some App templates fans of HN might like, find them here: https://t.co/cd3R8HUduZ
- HN Post classification with https://t.co/AsQxfbJ6Wx
- HN Semantic search and alert bot
- #GPT3 Eng Advice Slack bot

@OpenAI @ycombinator @CohereAI

[Patterns Data Systems @patterns_app]

Thanks for the shout out @RealLaurenBalik ... Excited to show the community what "operationalizing data" really means 🚀

https://t.co/0cJw77d2UB

#dataengineering #DataScience

[Patterns Data Systems @patterns_app]

For the elections in the US this week, we built this **Real-time Twitter Election Sentiment Data App** using the Twitter API and TextBlob. Check it out, for it!

https://t.co/DNEyMX3oJ3

#DataScience #dataengineering #dataviz

[Patterns Data Systems @patterns_app]

Capturing and analyzing unstructured data on the web is hard --- so we worked with @WebScraperIO to make it a little bit easier. Check how you can #scrape the web + #ETL in minutes:

https://t.co/BRBGouvigm

[Patterns Data Systems @patterns_app]

@rahulj51 import into https://t.co/baZLEUEuC7 and build from there?

[Patterns Data Systems @patterns_app]

Demo cohort analysis graph:
https://t.co/aBTuDgoqUv

[Patterns Data Systems @patterns_app]

Patterns is a new type of data operating system that encourages rapid prototyping, creative problem solving, and sharing of solutions to everyday data problems.

[Patterns Data Systems @patterns_app]

We combine this powerful toolkit with a web-based IDE so that you can prototype and deploy production applications from a single tool — removing friction, improving accessibility, and spawning collaboration so that everyone on the data team is a stakeholder.