Excel Master

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Transform your Excel projects with advanced AI assistance, optimizing both formula and VBA tasks.

How Excel Master can help you:

Generates and fixes complex Excel formulas with precision.
Explains existing formulas to enhance understanding and utilization.
Facilitates learning of Excel formulas through practical tasks and smart guidance.
Drafts and refines VBA scripts, surpassing Microsoft Copilot's capabilities with deeper sheet comprehension.
Advances VBA learning through hands-on tasks alongside an intelligent mentor.

Why choose Excel Master: Key features

AI that approaches human-level expertise in Excel's formula and VBA tasks.
Unmatched deep sheet comprehension for generating and refining VBA scripts.
Interactive learning and solution-generating system tailored to real-world Excel applications.
Multi-turn chats that boost code accuracy by over 30%.

Who should choose Excel Master:

Early adopters and Excel power users seeking to enhance productivity and accuracy in their Excel tasks.
Professionals in the financial sector, HR, and any field requiring complex Excel data manipulation.

About Excel Master

Website

https://excelmaster.ai

Release Date

April 2024

Pricing

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Copilot in Excel with Python announced by Microsoft

Artificial Intelligence Copilot in Excel with Python announced by Microsoft Wednesday, September 25, 2024 Russ Scritchfield Microsoft is introducing the next wave of Microsoft 365 Copilot, focusing on enhancing productivity tools. A key highlight is Copilot in Excel with Python, now available for advanced data analysis. By integrating Python, users can conduct forecasting, risk analysis, and machine learning, all via natural language. The next wave of Microsoft 365 Copilot is being launched, uniting web, work, and Pages as a new design system for knowledge work. First, Copilot Pages is introduced as a dynamic, persistent canvas designed for multiplayer AI collaboration, marking the first new digital artifact for the AI age. Second, enhancements to Copilot in the Microsoft 365 apps are being rapidly rolled out. Customers report that Copilot in Microsoft Teams has transformed meetings, making it the top area where they see value. Similar improvements are anticipated for advanced data analysis in Microsoft Excel, dynamic storytelling in PowerPoint, managing inboxes in Outlook, and more. Third, Copilot agents are being introduced, streamlining the automation and execution of business processes, thereby enabling teams to scale like never before. These updates are being shared with customers worldwide. From enterprises to small businesses, their feedback has been instrumental in enhancing Copilot. Nearly 1,000 customers have provided insights on how they use Copilot, its impact, and areas for improvement. Based on this feedback, over 700 product updates and 150 new features have been launched this year. With GPT-4o and improved orchestration, performance has seen significant enhancements, with Copilot responses being more than twice as fast on average and satisfaction improving by nearly threefold. This development represents the world's best AI feedback loop, with a commitment to continuously integrate the latest models and capabilities, including OpenAI o1 with advanced reasoning. Copilot in Excel with Python Copilot serves as the new UI for AI, beginning with Business Chat (BizChat), a central hub that consolidates web data, work data, and line-of-business data within the workflow. BizChat transforms organizational content into a rich database of information and insights, facilitating collaboration with Copilot as a partner, thus turning each artifact into a reusable business asset. Copilot Pages, now rolling out to Microsoft 365 Copilot customers and set for general availability later in September 2024, embodies this new work paradigm. Pages captures ephemeral AI-generated content, making it editable and shareable among teams. Users can collaborate in real-time with Copilot, integrating data, files, and web content into their Pages, fostering a new pattern of multiplayer collaboration. In the coming weeks, Copilot Pages will also be accessible to over 400 million users with a Microsoft Entra account, offering web grounding, enterprise data protection (EDP), and the Pages feature. Users can explore Microsoft Copilot at Microsoft.com/copilot and integrate it into the Microsoft 365 app, with future availability in Outlook and Teams. For millions globally, work is conducted within the Microsoft 365 apps, where Copilot is becoming an integral daily tool, enhancing personal productivity and saving time. With Wave 2, insights gained from customer feedback are being utilized to further improve Copilot. Microsoft 365 Copilot Wave 2: Pages, Python in Excel, and agents In Microsoft Excel, where data management occurs, Copilot is now generally available. It now supports working with data not formatted as tables and offers enhanced capabilities such as additional formula support (XLOOKUP and SUMIF), conditional formatting, and the ability to collaborate on visualizations like charts and PivotTables. Copilot in Excel can also now handle text data alongside numerical data. Moreover, Copilot in Excel with Python is being introduced, merging the capabilities of Python, a leading programming language for data analysis, with Copilot. This allows users to conduct advanced analyses such as forecasting, risk analysis, machine learning, and complex data visualization using natural language, without requiring coding skills. Copilot in Excel with Python is currently in public preview. "In the past, if we were building a major campaign like the Finance is Open campaign, it would've taken us three months to generate the content. We can do that now with Copilot in less than one," said Joerg Klueckmann, Head of Corporate Marketing and Communications, Finastra Become a subscriber of App Developer Magazine for just $5.99 a month and take advantage of all these perks. MEMBERS GET ACCESS TO- Exclusive content from leaders in the industry - Q&A articles from industry leaders - Tips and tricks from the most successful developers weekly - Monthly issues, including all 90+ back-issues since 2012 - Event discounts and early-bird signups - Gain insight from top achievers in the app store - Learn what tools to use, what SDK's to use, and more Subscribe here Copilot in Excel with Python announced by Microsoft, Python, Copilot, Excel, AI, Machine learning, Microsoft share

App Developer Magazine

Wed, 25 Sept, 4:09 PM UTC

Streamline your workday with DeskSense -- your AI productivity sidekick

TL;DR: Get lifetime access to DeskSense AI Assistant for $49 and let AI handle the busywork while you focus on growth. Solopreneurs and small business owners know the grind of juggling a million tasks. But with DeskSense AI Assistant, you can offload the busywork and get back to what matters. Whether it's generating content, automating emails, or even whipping up Excel formulas, this AI-powered assistant is your secret weapon for boosting productivity -- and a lifetime subscription is on sale for $49. DeskSense goes beyond answering simple queries -- it's your go-to for creating blog posts, drafting social media content, or even generating video scripts. It also has you covered with instant code snippets. Want to analyze a document or webpage? DeskSense pulls the important info so you can cut to the chase. With AI-driven image generation, content saving, and email automation, you'll speed up tasks and free up time to focus on growing your business. DeskSense is more than just a time-saver -- it's a game-changer for anyone who wants to get things done faster and smarter.

PCWorld

Fri, 27 Sept, 10:03 AM UTC

How to Summarize Your Excel Spreadsheets With AI

Carly Quellman is a movement artist, storyteller and disability advocate whose work challenges and strips perspective around the human experience. As an advocate for young women, artistic potential and the "anomaly" identity, Carly dedicates her time to spreading the power of expression. She resides in Los Angeles. I'm not the most Excel-savvy of people, so I had a real need to find an easier way to navigate this spreadsheet software. I thought artificial intelligence might make the busywork a little lighter, and after three failed attempts of trying to add ChatGPT for Microsoft Excel to my software (including wiping my cache and cookies), I found GPT Excel. GPT Excel is an AI assistant with over 500,000 users, built specifically for Excel and Google Sheets. With free and paid ($7 per month) versions available, GPT Excel's features include AI Chat, Generate and Understand Formulas, Task Automation Generator, SQL, Data Validation and Filtering, and the ability to generate table templates. While this isn't an incredibly sophisticated tool, what it lacks in flashy add-ons, it makes up for in simple and succinct tools -- which for something as robust as data (and its algorithms) makes sense. Since I was intent on summarizing and understanding the data from the Excel sheet, I focused on the Formulas page of the platform where your data can be input, then generated or explained. This was my approach when attempting to summarize the data from my spreadsheet. Look, artificial intelligence is a new, hot topic. Its rapid growth speaks to its popularity and success but consequently also speaks to the reality of oversaturation and overwhelm. But I can't dismiss the feeling that while AI-generated organizational tools were made to reduce repetitive tasks and problem-solving time, you may spend just as much time navigating between the incredibly niche aspects of each product to find the best one for you. While articles -- like the one you're reading -- are here to help answer upfront questions, word of mouth doesn't trump experience. Tools, whether literal or digital, will always be up to individual preference and opinion. My personal thoughts on GPT Excel come down to three things: Numerous artificial intelligence-powered apps can summarize your data. While I eventually turned to ChatGPT to have my Excel data summarized, these tools claim to provide the same services for their target audience, which in some cases is the same as ChatGPT. While my initial attempt at ChatGPT for Excel failed, I found so many alternatives in the process -- some that are incredibly intentional and articulate about the problem they aim to solve. Wherever you end up on your summarizing data journey, I hope your spreadsheet hassles are a bit easier to handle.

CNET

Fri, 27 Sept, 12:01 PM UTC

The rise of AI in spreadsheets: A game-changer for data management

Spreadsheets evolve with AI, automating tasks and uncovering insights Imagine a spreadsheet that could think, learn, and adapt. No longer just a tool for calculations, spreadsheets are evolving into intelligent assistants capable of automating tasks, uncovering hidden insights, and revolutionizing the way we work with data. The era of AI-powered spreadsheets has arrived, and it's changing the rules of the game. As we explore this evolution, we'll trace how each advancement has built upon the previous ones, leading to the sophisticated tools we use today, and glimpse what the future holds for this dynamic field. To truly appreciate the cutting-edge AI capabilities of today's spreadsheets, we must first take a trip back to see how far we've come. The evolution of spreadsheets is more than just a story of technological progress; it's a reminder of how foundational changes lead to revolutionary advancements. In the early days, spreadsheets were a manual affair. Picture accountants in the 1960s and 70s working with paper sheets, meticulously recording each data point by hand. Every calculation was done manually, a process that was not only labor-intensive but also prone to mistakes. This old-school approach was time-consuming and limited in scope. The game began to change in the late 1960s with LANPAR (Language for Programming Arrays at Random) -- an early electronic spreadsheet that made basic data manipulation possible. Though it was still rudimentary, it marked a crucial step away from paper-based methods. Then came 1979 and VisiCalc, the first widely used electronic spreadsheet. VisiCalc was revolutionary because it automated recalculations -- a relief for anyone who had to update numbers by hand. This innovation significantly boosted productivity and accuracy, especially in business environments where every second counts. The 1980s saw further leaps with Lotus 1-2-3, which introduced advanced functions, charting, and the ability to handle larger datasets. By the 1990s, Microsoft Excel had emerged as a dominant force, bringing with it features like sophisticated formulas, pivot tables, and Visual Basic for Applications (VBA). These tools transformed spreadsheets from simple data-entry applications into powerful platforms for complex analysis. Now, fast forward to today, and we're in the age of AI-powered spreadsheets. This leap marks a huge change from the old days of manual, labor-intensive data handling to a new era where artificial intelligence is reshaping how we work with data. Microsoft's $1 billion investment in revamping Excel with AI represents a fascinating move towards the future of productivity software. This strategic overhaul isn't just about making incremental improvements but signifies a transformative shift in how we interact with data. Excel has always been a powerful tool, but its complexity can be a barrier. For many, mastering its advanced features requires significant time and expertise. Microsoft's push to integrate AI aims to make these powerful capabilities more accessible and user-friendly. So, what exactly does this mean in practical terms? Here's a look at some of the ways AI is shaking up the world of spreadsheets: Excel's new AI features include natural language processing, which allows users to interact with their data using everyday language. This means you can simply type a question like "What's the trend in sales over the last six months?" and get a clear, actionable answer. AI brings predictive analytics to the forefront, allowing Excel to anticipate future trends based on your current data. This means you can easily forecast sales, estimate future expenses, or predict market trends without diving into complex statistical models. The AI does the heavy lifting, offering insights and forecasts that help you make informed decisions with confidence. One of the most exciting features is Excel's ability to automatically identify patterns and anomalies in your data. The AI scans through your data sets and spots trends or irregularities that might not be immediately obvious. For instance, it might highlight a sudden spike in customer complaints or an emerging trend in product sales. This means you don't have to dig through data manually; the AI does the legwork and brings crucial insights to your attention, saving you time and effort. Data cleaning is one of the most tedious tasks in spreadsheet management, often requiring meticulous attention to detail. AI takes a lot of the grunt work out of this process by automatically identifying inconsistencies, errors, and duplicates in your data. It suggests corrections and improvements, making it easier to maintain clean, reliable data without getting bogged down in manual corrections. AI-powered spreadsheets are transforming the way businesses handle data analysis by making advanced AI capabilities accessible to non-experts. With features like intuitive interfaces, natural language processing, and automated insights, these tools allow users to leverage sophisticated data analysis without needing deep technical knowledge. The promise of AI-powered spreadsheets automating tasks and enhancing productivity is certainly exciting. However, it also brings up important questions about control and governance that need to be addressed: AI's effectiveness largely depends on the data it's trained on. If the data feeding into these AI systems is flawed or biased, the AI's output can be just as problematic. Imagine a spreadsheet that's supposed to forecast sales trends but is based on data that doesn't represent all customer segments fairly. The AI might end up skewing results in ways that don't accurately reflect reality. To avoid this, we need to be meticulous about the data we use. This means regularly checking for inaccuracies, ensuring our data sets are diverse and representative, and constantly updating them to reflect the most current information. Essentially, good governance in AI means being proactive about data quality and fairness. Another key concern is understanding how AI makes decisions. If AI in spreadsheets starts suggesting changes or predicting outcomes, users need to know how these recommendations are derived. Transparency isn't just a nice-to-have -- it's essential. Features that explain the AI's reasoning behind its suggestions can make a big difference. For instance, if an AI recommends a certain business strategy based on sales data, users should be able to see the factors influencing this recommendation. This clarity helps build trust and ensures that users aren't just blindly following AI advice but can understand and evaluate it themselves. Despite AI's impressive capabilities, it can't replace human judgement. AI is great for handling repetitive tasks and analyzing large amounts of data, but it still needs human oversight to ensure everything is on track. Setting up clear guidelines on how AI tools should be used and who reviews their outputs is crucial. Regular checks and balances will help catch any errors or misjudgments the AI might make. Think of it as having a safety net -- AI handles the heavy lifting, but humans make sure everything aligns with broader goals and values. Integrating AI into spreadsheets is a huge leap forward. It can automate repetitive tasks, offer predictive insights, and change the way we work for the better. But with this amazing potential come new challenges. As spreadsheets get smarter, we need to stay mindful of issues like data accuracy, bias, and transparency. While AI can boost efficiency, it's crucial to keep human oversight and ethical considerations in the mix. Finding the right balance between using AI's strengths and ensuring it's used responsibly is key. The future of spreadsheets is exciting. But to make the most of it, we need both cutting-edge technology and careful, ethical management. If we navigate this balance wisely, we can use AI to build data-driven solutions that are more efficient, reliable, and insightful. We've featured the best business laptop.

TechRadar

Tue, 1 Oct, 4:05 PM UTC

Skip hours of work with 1MinAI -- the AI tool that gets it done in minutes

TL;DR: 1MinAI speeds up creative tasks with the power of AI, offering a lifetime subscription for $39.99 that helps you avoid recurring fees and includes free monthly credits. Getting through your to-do list doesn't have to take hours when you've got AI on your side. 1MinAI uses advanced AI models to help you breeze through content creation, brainstorming, and more in just a fraction of the time it usually takes -- all for a one-time payment of $39.99. Whether you're working on blog posts, social media captions, or even data analysis, 1MinAI's quick results make those long tasks feel like a thing of the past. 1MinAI's AI models process vast amounts of data to assist with creative tasks like writing, summarizing, and idea generation. While AI can provide impressive results, it's important to remember that human eyes are still needed. You might need to refine the output, but 1MinAI does the heavy lifting -- saving you the hours you'd spend starting from scratch. Curious to see what AI can do for you? You can even try it for free before diving into the lifetime plan. Unlike other AI tools that charge hefty monthly fees, you pay once and have access for life. Plus, the Pro Plan includes free monthly credits, allowing you to use the tool extensively without paying for additional services every month.

PCWorld

Wed, 9 Oct, 10:15 AM UTC

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