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关于我们
LuminaData is an AI productivity platform for Finance. We are building role based AI coworkers for Finance called Emma. Users can deploy Emma for specific roles such as Accounts Receivable (AR), Accounts Payable (AP), Accountant etc, creating a personalized AI co worker skilled in executing tasks pertinent to each role.
- 网站
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https://www.luminadata.ai/
LuminaData Inc的外部链接
- 所属行业
- 软件开发
- 规模
- 2-10 人
- 总部
- San Jose，CA
- 类型
- 私人持股
- 创立
- 2023
- 领域
- AI Agents、Artificial Intelligence、Finance、Accounting、Financial Analysis、FP&A、Account Recievable和Account Payable
地点
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主要
获取路线
US，CA，San Jose，95124
LuminaData Inc员工
动态
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We hear it more and more: AI is transforming the workplace. But there's something different, something more personal happening now—the rise of AI coworkers. So, what does having an AI coworker mean? Its someone who knows your role, understands your responsibilities, and works with you to get things done. Here's what a coworker can do: Document Understanding: AI can extract insights from unstructured documents like invoices and contracts, speeding up data processing. Scaling Repetitive Tasks: AI handles tasks like reconciliation and data aggregation with perfect accuracy and no fatigue. Decision Support: AI organizes and cleans data, providing insights to make informed decisions faster. Powered by multi-agent AI, these systems seamlessly manage finance workflows, freeing up time for strategic work. At LuminaData Inc, we’ve been building AI coworkers and are excited to launch our first Beta, 'Emma for Accountants,' soon! Emma is designed to streamline accounting reconciliation tasks. More updates are coming —stay tuned! #AI #FinanceAI #FutureOfWork #Automation #AIcoworkers #LuminaData #Accountants #Emma #DocumentAI #DecisionMaking #BetaLaunch #AITransformation LuminaData Inc Finance Alliance World Finance Forum FIF Collective #Workflows #FinanceInnovation #AIforBusiness #MachineLearning #DataDriven #AccountingTechnology Mayfield Fund
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Excited to share Afrozy Ara's latest article on building human-centric AI! As AI adoption grows, it's essential to focus on creating tools that are not only efficient but also intuitive and trustworthy. In her piece, "Building Human-Centric AI Applications: A Step-by-Step Guide," Afrozy dives into how data teams can design AI that empowers users and enhances productivity. Check it out on the ODSC blog, and don't miss her talk at ODSC West on October 31st for more insights and real-world examples. #HumanAI #AIforBusiness #ODSC #AIDesign #HumanCenteredDesign #Luminadata #AIProductivity
As AI adoption accelerates, teams face pressure to create AI that not only boosts efficiency but is also intuitive and trustworthy. Building human-centric AI isn't just about data quality and model performance—it requires collaboration across data, business, design, and legal teams to ensure AI tools genuinely improve productivity. How can data teams design AI that empowers users and drives better decision-making? Check out my article, "Building Human-Centric AI Applications: A Step-by-Step Guide," now up on the ODSC blog. And if you're at ODSC West, join my talk on October 31st to dive deeper into these principles with real-world examples! Link to article in comments below. #HumanAI #AIforBusiness #ODSC #AIDesign #HumanCenteredDesign #Luminadata #AIProductivity Open Data Science Conference (ODSC) LuminaData Inc #generativeai #datadriven #humanintheloop
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I'm excited to to speak at the Open Data Science Conference (ODSC) West conference on October 31st! My talk will focus on designing human-centric AI interfaces that are intuitive, efficient, and trustworthy. As AI adoption grows, we'll dive into how to create tools that enable value for users, balancing states of work, and ensuring transparency and compliance in AI-driven decisions. Join me as I share learnings on how data teams can build applications to empower users and keep humans at the heart of every decision. Stay tuned for more! #AI #Design #HumanAI #Productivity #luminadata LuminaData Inc
How much can be packed into a 10-minute presentation? A lot more than you'd expect. Our Lightning Talk speakers will cover the latest in People Analytics, Human-Centric AI, AI Video Generation, and more. Don’t miss these quick, impactful sessions—check out the talks below. Christina Z., Developer Relations Manager at Visier ??Co-Founder of HackDavis, mentor at Girls Who Code, recipient of? the F8 Scholarship by Facebook, Grace Hopper Scholar by Anita Borg Institute, and the Engineering Diversity Scholar by Box, among others. Talk: Unlocking the Potential of People Analytics with Data Afrozy Ara, Co-founder & CEO at LuminaData ??Expert in benchmarking finance operations and implementing AI-driven solutions and passionate about designing human-centric AI that reimagines work in the age of AI Talk: Designing Human-Centric AI Interfaces Paras Jain, CEO and Co-founder ??Member of the RISE Lab, BAIR Lab and Berkeley Deep Drive Lab and UC Berkeley, where his research focused on machine learning systems. He also worked on self-driving car technology at Google and DeepScale. Ajay Jain, Ph.D, CTO and Co-founder ??Pioneer of? the application of diffusion models for image generation and 3D modeling, the co-inventor of modern diffusion architecture with the DDPM paper, and co-developer of the first text-to-3D model capable of producing high-fidelity content ("DreamFusion," 2022) Talk: Mastering High-Fidelity AI Video Generation Shubham Goel, Senior Machine Learning Scientist, ZEFR ??Builder of semantic search products and robust model training pipelines that process millions of social media images daily Talk: Labelling Sparse Data at Scale Using Semantic Search Arpita V., Senior AI Engineer at LinkedIn ??Author of? multiple papers in the fields of LLM, NLP, and Computer Vision, and presented at top conferences like ICASSP and CVPR. Her expertise includes developing recommender systems, ensuring privacy in LLMs, and building various multimedia models. Talk: Leveraging LLMs for Next-Generation Recommender Systems Don’t miss this chance to explore a wide range of cutting edge AI topics in just 50 minutes at the leading technical AI conference. Register now:???https://lnkd.in/drjNivMk
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In today's fast-evolving business landscape, establishing finance as the central authority for key metrics and data is crucial. As Alex Wu from CFO Advisors points out, finance teams should own the source of truth for all key metrics and data. However, they often face challenges due to a lack of data engineering skills and automation, leading to increased collaboration with business intelligence (BI) teams to deliver accurate insights and drive decision-making. How does your company empower finance teams to overcome these challenges and strengthen the partnership with BI? #FinanceLeadership #DataDriven #BusinessIntelligence #Automation #FinanceTransformation CFO Advisors #Automation #DataDriven #BusinessIntelligence #CFO
For the CFO, determining what metrics matter—and how often to track them—is one of the most critical and challenging tasks of the job. "It's really critical that you understand where your company is at and what are the one or two things that they're trying to prove out," says Alex Wu, managing partner at CFO Advisors and former Bessemer Venture Capital Fellow. "Limit your core KPIs to five to six max to ensure management and the board can easily focus on the most important aspects of the business." As part of Bessemer's SaaS Finance series, we’re sharing an essential CFO playbook for startup founders on company metrics and board management. This tactical guide features insights from Alex and Bessemer Operating Partner Jeff Epstein on: 1?? Identifying and evolving key metrics 2?? Building a "Financial Hypothesis" 3?? Presenting metrics effectively to boards 4?? Managing board relationships and meetings 5?? Leveraging the CFO role for strategic impact Read more business operations and corporate governance best practices: https://lnkd.in/g_ATzmpk
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We often talk about the "future of work" as though it’s years away, waiting for AI and advanced technologies to fully develop. But the truth is, the future is already here and it’s transforming how we live and work today. When we founded LuminaData,, our vision has always been to use AI not just as a tool, but as a coworker. AI agents like Emma are already automating repetitive finance tasks like reconciliation, data aggregation, and analysis—freeing up human teams to focus on strategic work. But here’s the key: AI isn’t replacing us, it’s amplifying what we can do. It takes over the grunt work, so humans can focus on creativity, empathy, and strategic thinking—qualities that machines simply can’t replicate. That said, the risks of being left behind are real. Companies that don’t adopt AI and professionals who don’t upskill could find themselves struggling to keep up in this rapidly evolving landscape. The future of work isn’t coming—it’s already here. As Taylor Swift would say, Are you ready for it? #AIinFinance #FutureOfWork #Automation #FinanceTransformation #AI #Luminadata #AreYouReadyForIt #financeoperations #financialanalysis #luminadata LuminaData Inc
The Future of Work is Already Here
Afrozy Ara，发布于领英
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?????? ?????????? ????????: Are you stuck in the never-ending cycle of copying, pasting, and updating spreadsheets? Finance teams spend hours every week manually updating Excel files for reconciliations, reports, and data analysis. This not only wastes time but also leads to errors. ???????? ????????, ???????? ???? ????????????????, ???????????? ?????????? ???????? ?????????????? ?? ?????????? ???? ?????? ????????. ???????????????? ?????????????? ?????????? ?????? ?????????? ???? ???????????? ????????-???????????? ??????????????????. #ExcelProblems #FinanceAutomation #APManager #LuminaData #AICoworker #Finance #FP&A #Accounting
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?????????????????????? ?????????????? ???????? ????: ?????? ???????????? ???? ???????? At LuminaData, we’re on a mission to transform how finance teams work. Our AI coworker, Emma, is designed to streamline and automate key roles in finance, from Accounting to FP&A, helping teams eliminate manual, repetitive tasks done in excel and focus on strategy and growth. ?????? ???????? ???????? ????????????? 1. ???????? ????????: Let Emma handle invoice matching, reconciliations, and analytics, so your team can focus on what really counts. 2. ???????????? ????????????: Automation means fewer mistakes in data aggregation, reconciliation, and reporting. 3. ???????????????? ????????????????????: Seamlessly integrate Emma into your existing tools like QuickBooks, with minimal disruption to your workflow. ????’???? ?????? ???????? ???????????????? ?????????????? ???????? — ????’???? ???????????????? ???? ???? ???????????????? ?????? ????????????, ????????????, ?????? ?????????? ?????????????????? ?????? ???? ???????? ?????????????? ???????????????????? ?????????????? ?????? ????????????.? ?????????????? ???? ?????? ???????? ???? ????????????? ???????? ???? ?? ?????????????? ???? ?????????? ?????? ?????????????? ???? ?????????? ????????! https://lnkd.in/gPEEujmK
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