Patterns (YC S21), hiring to build a universal finance and accounting data model
Patterns Data Systems offers AI agents for financial analysis, automating tasks like month-end closes and reporting. Users can connect to various data systems for insights and recommendations, streamlining financial processes efficiently.
Read original articlePatterns Data Systems offers AI agents for financial analysis and reporting, enabling users to execute complex analyses and create interactive visualizations from natural language requests. By integrating with financial data systems, Patterns automates tasks like month-end closes and reporting. Users can connect Patterns to their database to analyze financial data from systems like NetSuite, Salesforce, Stripe, and Brex. The platform provides instant insights and recommendations for optimizing financial performance, along with future developments in advanced financial modeling and cash flow forecasting. Patterns streamlines financial processes by automating repetitive tasks and is accessible through chat, email, or ticket systems. The system continuously learns and improves, adapting to unique financial data models and business contexts. Patterns caters to startups, enterprises, and private equity firms, offering solutions to standardize reporting, automate tasks, and empower finance teams with powerful analytics tools. Through AI-driven financial analysis, Patterns aims to transform financial analytics by driving efficiency, accuracy, and strategic value for businesses of all sizes.
Related
Figma AI: Empowering designers with intelligent tools
Figma AI enhances designers' workflow with AI-powered features like Visual Search, Asset Search, text tools, and content generation. It aims to streamline tasks, boost efficiency, and spark creativity while prioritizing data privacy.
Show HN: Safe Routes. real time turbulence data, ML predictions with an iPad
SkyPath enhances airline safety with real-time turbulence data, PIREP reports, and machine learning predictions for informed pilot decisions. It offers a free trial, accurate turbulence predictions, and benefits pilots, dispatchers, and management.
Financial services shun AI over job and regulatory fears
Financial services are cautious about adopting AI due to job loss fears, regulatory hurdles, and resistance. Only 6% of retail banks are prepared for AI at scale, despite its potential benefits. Banks face challenges transitioning to digital processes and ensuring AI accuracy and security. Compliance and ethical considerations are crucial for successful AI integration in the financial sector.
The A.I. Boom Has an Unlikely Early Winner: Wonky Consultants
Consulting firms like Boston Consulting Group, McKinsey, and KPMG profit from the AI surge, guiding businesses in adopting generative artificial intelligence. Challenges exist, but successful applications highlight the technology's potential benefits.
Gen AI takes over finance: The leading applications and their challenges
Generative AI advances in finance industry with major institutions like Goldman Sachs, JP Morgan adopting AI for market analysis, customer service. Challenges include job displacement concerns, data privacy, regulatory issues, and skills gap.
Related
Figma AI: Empowering designers with intelligent tools
Figma AI enhances designers' workflow with AI-powered features like Visual Search, Asset Search, text tools, and content generation. It aims to streamline tasks, boost efficiency, and spark creativity while prioritizing data privacy.
Show HN: Safe Routes. real time turbulence data, ML predictions with an iPad
SkyPath enhances airline safety with real-time turbulence data, PIREP reports, and machine learning predictions for informed pilot decisions. It offers a free trial, accurate turbulence predictions, and benefits pilots, dispatchers, and management.
Financial services shun AI over job and regulatory fears
Financial services are cautious about adopting AI due to job loss fears, regulatory hurdles, and resistance. Only 6% of retail banks are prepared for AI at scale, despite its potential benefits. Banks face challenges transitioning to digital processes and ensuring AI accuracy and security. Compliance and ethical considerations are crucial for successful AI integration in the financial sector.
The A.I. Boom Has an Unlikely Early Winner: Wonky Consultants
Consulting firms like Boston Consulting Group, McKinsey, and KPMG profit from the AI surge, guiding businesses in adopting generative artificial intelligence. Challenges exist, but successful applications highlight the technology's potential benefits.
Gen AI takes over finance: The leading applications and their challenges
Generative AI advances in finance industry with major institutions like Goldman Sachs, JP Morgan adopting AI for market analysis, customer service. Challenges include job displacement concerns, data privacy, regulatory issues, and skills gap.