🚀 AI in Finance: The Future is Now! 🔍 83% of those surveyed said they were using AI in at least some way in their financial planning and analysis, and 8 in 10 also reported prioritizing investment for AI and #GenerativeAI, according to KPMG US. This matches what we are seeing every day. Finance teams are not just preparing for the future; they're actively leveraging #AI today to transform financial operations. The combined power of finance teams and AI can truly make game changing impacts on finance functions including predictive analytics, data mining, scenario modeling, and process automation. Some key impacts: 📊 Enhancing Forecast Accuracy: AI's predictive capabilities are transforming finance. With intelligent forecasting powered by extensive data and complex scenario modeling, organizations are achieving over 60% improvements in forecast accuracy. The more data these tools process, the smarter they become! 🚀 Elevating the Finance Teams: AI is freeing up the finance functuon to focus more on strategic analysis and less on routine tasks. Leading-edge teams are tripling their time spent on analytics and decision support, evolving from traditional finance roles to strategic business partners. This powerful synergy between AI and finance not only boosts efficiency and accuracy but also sets the stage for pioneering advancements in the sector. Explore the extraordinary capabilities of AI-enabled finance teams and learn how they are redefining the future of business. https://lnkd.in/e3gBtamx #KPMGFinanceTransformation #FinanceTrends #DigitalTransformation
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The pace of business today demands a more thoughtful, coordinated and intelligent approach to business planning and execution. Utilize the unique potential of AI to enhance your operations and bring the best out of your team’s, get improved forecast accuracy and closing reports that match human-level outputs. Dive deep into KPMG’s article on “6 superpowers of AI enabled finance teams” to understand how AI can utilize predictive algorithms, data mining, scenario modeling, and process automations to deliver more value and drive better business outcomes. #KPMGElevate #KPMGValueCreation #KPMGDeals #Finance #AI
6 superpowers of the AI-enabled finance team
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The future of organizations is being shaped by emerging technologies like #genAI, and CEOs are turning to their finance leaders to connect the dots between tech spend and business value. The latest installment of the IBM Institute for Business Value CEO’s Guide to Generative AI series equips finance leaders with the insights and strategies they need to accelerate transformation and growth with generative AI. #AI #finance #growth #techspend
Some of you will remember my posts between July and December of last year – every two weeks we launched a CEO guide to generative AI, and we’re keeping it up in 2024! After the launch of our book (link in the comments), which compiles our first 12 action guides, we’ll continue producing new guides to help CEOs make smarter business decisions with generative AI throughout 2024. Today’s is on the important topic of #finance. Success in today’s volatile business environment depends on how quickly finance can turn data into actionable insights. CEOs are looking to their finance leaders to advise where budgets should be spent, how tech investments are performing, and where the enterprise is getting the biggest bang for its buck. The smartest finance leaders are using generative AI to unlock a previously untapped world of unstructured data processing to help finance create more impactful reporting narratives. Traditional AI can only recognize patterns in financial data, but generative AI can identify key themes and trends, highlight an organization’s strengths and weaknesses, help CFOs manage risk and make investment decisions more confidently, improve productivity, drive cost take-out, increase forecasting accuracy, and create new business value. Learn more in our 13th CEO’s Guide to Generative AI, on finance, from the IBM Institute for Business Value. This guide dives into the three most important actions organizations can take to give the finance team gen AI superpowers. Our clients have found immense value in these guides, and I know you will too. Let me know what you think. https://lnkd.in/g4FQ2pYp Kareem Yusuf Ph.D, John Granger, Rob Thomas, Anthony Marshall, Cindy Anderson, Karen Feldman, Jonathan Wright, Matthew Candy, Spencer Lin, Monica Proothi, Lucas Juarez, Manish Goyal, Shobhit Varshney, Ajay Patel, Jack. Bischof, Faye Abloeser, James J. Kavanaugh, Nick Fehring, Cynthia Alexander, David Wiseman, Alex Stern
The CEO’s Guide to Generative AI: Finance
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A great GenAI handbook tailored to the Financial industry! “The latest installment of the #IBM Institute for Business Value CEO’s Guide to #Generative #AI series equips finance leaders with the insights and strategies they need to accelerate transformation and growth with generative AI.” #AI #finance #growth #techspend
Some of you will remember my posts between July and December of last year – every two weeks we launched a CEO guide to generative AI, and we’re keeping it up in 2024! After the launch of our book (link in the comments), which compiles our first 12 action guides, we’ll continue producing new guides to help CEOs make smarter business decisions with generative AI throughout 2024. Today’s is on the important topic of #finance. Success in today’s volatile business environment depends on how quickly finance can turn data into actionable insights. CEOs are looking to their finance leaders to advise where budgets should be spent, how tech investments are performing, and where the enterprise is getting the biggest bang for its buck. The smartest finance leaders are using generative AI to unlock a previously untapped world of unstructured data processing to help finance create more impactful reporting narratives. Traditional AI can only recognize patterns in financial data, but generative AI can identify key themes and trends, highlight an organization’s strengths and weaknesses, help CFOs manage risk and make investment decisions more confidently, improve productivity, drive cost take-out, increase forecasting accuracy, and create new business value. Learn more in our 13th CEO’s Guide to Generative AI, on finance, from the IBM Institute for Business Value. This guide dives into the three most important actions organizations can take to give the finance team gen AI superpowers. Our clients have found immense value in these guides, and I know you will too. Let me know what you think. https://lnkd.in/g4FQ2pYp Kareem Yusuf Ph.D, John Granger, Rob Thomas, Anthony Marshall, Cindy Anderson, Karen Feldman, Jonathan Wright, Matthew Candy, Spencer Lin, Monica Proothi, Lucas Juarez, Manish Goyal, Shobhit Varshney, Ajay Patel, Jack. Bischof, Faye Abloeser, James J. Kavanaugh, Nick Fehring, Cynthia Alexander, David Wiseman, Alex Stern
The CEO’s Guide to Generative AI: Finance
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🚀 Exciting Updates from Consilience.ai! 🚀 We're continually evolving AlphaIQ, our cutting-edge AI-powered analytics platform, to push the boundaries of financial analysis. With a relentless focus on innovation, AlphaIQ is now packed with new capabilities that provide even more powerful insights and analytical depth for investment professionals. What’s New with AlphaIQ? 🔍 Enhanced Nuanced Insights: Our latest updates allow AlphaIQ to delve even deeper into complex corporate communications, from regulatory filings to earnings transcripts, delivering more precise and actionable insights into a company’s health and future performance. 🔍 Foundational Finance Language Model: AlphaIQ is built on a foundational finance language model specifically designed for financial analysis. This model enables AlphaIQ to interpret and quantify the language used in corporate communications, providing a clear, data-driven understanding of a company’s narrative. 🔍 Detailed Fundamental Information Extraction: With its advanced capabilities, AlphaIQ can extract detailed fundamental information from public company filings. This allows for a comprehensive analysis of a company’s financial and operational status, providing you with crucial insights for better decision-making. 🔍 Increased Transparency and Traceability: Every insight from AlphaIQ is now more traceable than ever, ensuring a clear audit trail that supports robust, informed decision-making. Our improvements emphasize transparency, allowing you to see the exact path from data to insight. 🔍 Quantifiable Language Analysis: AlphaIQ quantifies the language used in corporate filings, enabling you to track and visualize changes over time. This capability allows for a more dynamic analysis of how corporate language evolves and its implications for future performance. 🔍 New Analytical Dimensions: AlphaIQ now includes additional dimensions of analysis, offering a more comprehensive view of market trends and risks. This ensures you stay ahead with the most relevant and timely insights. Why AlphaIQ? Our commitment to innovation ensures that AlphaIQ remains at the forefront of financial technology, providing investment professionals with unmatched tools for analysis. Every update is designed to enhance your capabilities, making AlphaIQ an indispensable part of your financial decision-making process. Explore the latest advancements in financial analysis with AlphaIQ. Visit https://lnkd.in/ePQXzYnH to discover more and schedule a demo. Let’s continue to redefine financial decision-making together! #AlphaIQ #FinTech #AI #FinancialAnalysis #Investment #Innovation For more information, visit us: https://consilience.ai Rory Riggs Joseph Byrum, Ph.D., MBA Vikram Kuriyan Barry Steinman Charlie Wardell Chris Esworthy Bill Brown Giancarlo 'GC' Lionetti Mihir Shah
AlphaIQ
https://consilience.ai
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Don't miss our 13th installment of the CEO’s guide to generative AI which brings a ton of insights to the CFO office! we identify how CEOs can gain a competitive edge and improve ROI by applying generative AI to finance by focusing in 3 main things: FinOps, Efficiency and Value.
Some of you will remember my posts between July and December of last year – every two weeks we launched a CEO guide to generative AI, and we’re keeping it up in 2024! After the launch of our book (link in the comments), which compiles our first 12 action guides, we’ll continue producing new guides to help CEOs make smarter business decisions with generative AI throughout 2024. Today’s is on the important topic of #finance. Success in today’s volatile business environment depends on how quickly finance can turn data into actionable insights. CEOs are looking to their finance leaders to advise where budgets should be spent, how tech investments are performing, and where the enterprise is getting the biggest bang for its buck. The smartest finance leaders are using generative AI to unlock a previously untapped world of unstructured data processing to help finance create more impactful reporting narratives. Traditional AI can only recognize patterns in financial data, but generative AI can identify key themes and trends, highlight an organization’s strengths and weaknesses, help CFOs manage risk and make investment decisions more confidently, improve productivity, drive cost take-out, increase forecasting accuracy, and create new business value. Learn more in our 13th CEO’s Guide to Generative AI, on finance, from the IBM Institute for Business Value. This guide dives into the three most important actions organizations can take to give the finance team gen AI superpowers. Our clients have found immense value in these guides, and I know you will too. Let me know what you think. https://lnkd.in/g4FQ2pYp Kareem Yusuf Ph.D, John Granger, Rob Thomas, Anthony Marshall, Cindy Anderson, Karen Feldman, Jonathan Wright, Matthew Candy, Spencer Lin, Monica Proothi, Lucas Juarez, Manish Goyal, Shobhit Varshney, Ajay Patel, Jack. Bischof, Faye Abloeser, James J. Kavanaugh, Nick Fehring, Cynthia Alexander, David Wiseman, Alex Stern
The CEO’s Guide to Generative AI: Finance
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As today’s CEOs are looking to capture the greatest value out of their investments, CFOs have become their transformation partners, providing strategic counsel and recommendations on tech spend. In the IBM Institute for Business Value's latest installment of The CEO's Guide to Generative AI, the focus is on Finance and the modern-day CFO. The study highlights three things every business leader needs to know: 1. You need generative AI for FinOps—and FinOps for generative AI. 2. Generative AI gives your finance team superpowers. 3. Generative AI doesn’t just cut costs, it creates new business value. To learn more about how generative AI can help finance leaders and their teams deliver greater business value, check out the full report here: https://lnkd.in/eTvXA5q9 IBM Consulting Jonathan Wright Matthew Candy Manish Goyal Shobhit Varshney Sachin Kumar Robert Churchyard Khalid Siddiqui Rob Cushman Lucas Juarez Jennifer Kested Lucas Pontes Lauren Davis Vasanti Pillutla Scott Layton Dan Hoffmann Katie Delaney Phani krishna Gannavaram (Ex GE, Genpact) Bill Piotrowski
Some of you will remember my posts between July and December of last year – every two weeks we launched a CEO guide to generative AI, and we’re keeping it up in 2024! After the launch of our book (link in the comments), which compiles our first 12 action guides, we’ll continue producing new guides to help CEOs make smarter business decisions with generative AI throughout 2024. Today’s is on the important topic of #finance. Success in today’s volatile business environment depends on how quickly finance can turn data into actionable insights. CEOs are looking to their finance leaders to advise where budgets should be spent, how tech investments are performing, and where the enterprise is getting the biggest bang for its buck. The smartest finance leaders are using generative AI to unlock a previously untapped world of unstructured data processing to help finance create more impactful reporting narratives. Traditional AI can only recognize patterns in financial data, but generative AI can identify key themes and trends, highlight an organization’s strengths and weaknesses, help CFOs manage risk and make investment decisions more confidently, improve productivity, drive cost take-out, increase forecasting accuracy, and create new business value. Learn more in our 13th CEO’s Guide to Generative AI, on finance, from the IBM Institute for Business Value. This guide dives into the three most important actions organizations can take to give the finance team gen AI superpowers. Our clients have found immense value in these guides, and I know you will too. Let me know what you think. https://lnkd.in/g4FQ2pYp Kareem Yusuf Ph.D, John Granger, Rob Thomas, Anthony Marshall, Cindy Anderson, Karen Feldman, Jonathan Wright, Matthew Candy, Spencer Lin, Monica Proothi, Lucas Juarez, Manish Goyal, Shobhit Varshney, Ajay Patel, Jack. Bischof, Faye Abloeser, James J. Kavanaugh, Nick Fehring, Cynthia Alexander, David Wiseman, Alex Stern
The CEO’s Guide to Generative AI: Finance
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Some of you will remember my posts between July and December of last year – every two weeks we launched a CEO guide to generative AI, and we’re keeping it up in 2024! After the launch of our book (link in the comments), which compiles our first 12 action guides, we’ll continue producing new guides to help CEOs make smarter business decisions with generative AI throughout 2024. Today’s is on the important topic of #finance. Success in today’s volatile business environment depends on how quickly finance can turn data into actionable insights. CEOs are looking to their finance leaders to advise where budgets should be spent, how tech investments are performing, and where the enterprise is getting the biggest bang for its buck. The smartest finance leaders are using generative AI to unlock a previously untapped world of unstructured data processing to help finance create more impactful reporting narratives. Traditional AI can only recognize patterns in financial data, but generative AI can identify key themes and trends, highlight an organization’s strengths and weaknesses, help CFOs manage risk and make investment decisions more confidently, improve productivity, drive cost take-out, increase forecasting accuracy, and create new business value. Learn more in our 13th CEO’s Guide to Generative AI, on finance, from the IBM Institute for Business Value. This guide dives into the three most important actions organizations can take to give the finance team gen AI superpowers. Our clients have found immense value in these guides, and I know you will too. Let me know what you think. https://lnkd.in/g4FQ2pYp Kareem Yusuf Ph.D, John Granger, Rob Thomas, Anthony Marshall, Cindy Anderson, Karen Feldman, Jonathan Wright, Matthew Candy, Spencer Lin, Monica Proothi, Lucas Juarez, Manish Goyal, Shobhit Varshney, Ajay Patel, Jack. Bischof, Faye Abloeser, James J. Kavanaugh, Nick Fehring, Cynthia Alexander, David Wiseman, Alex Stern
The CEO’s Guide to Generative AI: Finance
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AI and Financial Forecasting: Navigating Uncertainty with Confidence In the dynamic world of finance, accurate forecasting is essential for strategic decision-making and risk management. However, traditional methods often fall short in predicting complex scenarios and adapting to rapid changes. AI-powered financial forecasting is revolutionizing this process, offering unparalleled insights and foresight in uncertain times. AI algorithms analyze historical data, market trends, and external factors with speed and accuracy, generating forecasts that are more reliable and actionable. By identifying patterns and correlations that human analysts may overlook, AI enables businesses to anticipate market shifts, optimize resource allocation, and capitalize on opportunities ahead of competitors. Moreover, AI enhances forecasting accuracy through continuous learning and adaptation. As new data becomes available, AI algorithms update models in real-time, ensuring predictions remain relevant and reflective of current market dynamics. Embracing AI in financial forecasting isn't just about predicting outcomes; it's about navigating uncertainty with confidence. By leveraging AI's predictive capabilities, businesses can make informed decisions that drive growth, mitigate risks, and maximize profitability in an ever-changing economic landscape. Let's embrace the power of AI in financial forecasting, knowing that innovation isn't just about technology—it's about empowering businesses to thrive amidst uncertainty and complexity. Together, let's harness AI to unlock new possibilities and shape a future where strategic foresight leads to sustainable success. https://lnkd.in/dCPhG446 #FutureOfFinance #AIaccounting #ArtificialIntelligence #FinanceTech #DigitalTransformation #TechInFinance #AccountingSoftware #AIinBusiness #FutureOfWork #MachineLearning #SmartAccounting #InnovationInFinance #DataAnalytics #AccountingRevolution #DigitalAccounting #AItools #FinanceAI
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🚀 Transforming Financial Analysis with AI: A Leap into the Future 🚀 In the dynamic world of finance and accounting, staying ahead means embracing the most innovative tools at our disposal. As a seasoned Accountant with over one decades of experience, I've witnessed firsthand the transformative power of technology in our field. But among these advancements, Artificial Intelligence (AI) stands out as a game-changer, particularly in financial analysis. AI is not just about automating tasks; it's about unlocking new insights, enhancing decision-making, and pioneering unprecedented efficiency. Here's how AI is reshaping financial analysis: 1. Automated Reporting & Analysis: Imagine generating and analyzing complex financial reports with the click of a button. AI makes this a reality, offering accuracy and depth that redefine operational efficiency. 2. Fraud Detection & Risk Management: With AI, we're not just reacting to risks and fraud—we're predicting and preventing them by analyzing data patterns at scale. 3. Algorithmic Trading: AI's ability to analyze market data in real-time and execute trades based on predictive analytics is revolutionizing trading strategies and portfolio management. 4. Predictive Analytics: AI's forecasting capabilities empower us with foresight, turning historical data into strategic insights for future planning. 5. Enhanced Customer Insights: By understanding customer behavior through AI, we can tailor services and products to meet evolving needs, driving engagement and satisfaction. As we navigate the complexities of financial markets and reporting standards, integrating AI into our strategies is not just an option—it's a necessity for those committed to excellence and innovation. Let's embrace AI to navigate the financial landscape of tomorrow, today. #Finance #ArtificialIntelligence #FinancialAnalysis #Innovation #FutureOfFinance
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Data management has never been faster! With AI, processes that once took days now happen in seconds. At Decimal Point, we leverage AI to transform data management, delivering tangible results for our clients. Here are some of our success stories: - Rent Roll Database: Processed 50K+ PDFs into Excel, streamlining rent invoicing for 600K US properties. - Asset Appraisal: Improved forecasting accuracy, driving better decision-making for a US Asset Appraisal firm. - Deal Market Share Tracking: Combined 33,000+ PE deals into BI dashboards, providing insights for a $50B AUM PE firm. - Credit Risk Analysis: Achieved 90% accuracy in credit evaluations, enabling early detection of financial distress. Contact us for a demo to see how our AI-driven solutions can accelerate your business growth. https://lnkd.in/dsSZ3Vw8 #AIinData #DataManagement #AI #Fintech #TechInnovation #BusinessGrowth #DataAnalytics
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