Latest news with #digitalworkers
CNET
4 days ago
- Business
- CNET
How to Summarize Text Using Google's Gemini AI
One non-negotiable for all digital workers is a great hotspot. But streamlined productivity is a close second. Artificial intelligence tools are becoming better suited to the challenge and can be integrated into your workday in a useful way now. Gemini in Google Workspace is one of those. What is Gemini? Google welcomed Gemini, its AI-powered chatbot, to the digital world on Dec. 6, 2023. While the name doesn't coincide with its launch date (the tool went by a different name, Bard, originally), Gemini was named after the astrological symbol's dual-natured personality -- the ability to adapt quickly and connect to a wide range of people, all while seeing things from multiple perspectives. Gemini got its name "because we wanted to bring teams working on language modeling closer together," said Jeff Dean, Gemini's co-technical lead. I was able to access Gemini free for 14 days since I have a business domain through Google Workspace. I was given 30% off the monthly price for three months ($16.80) following my free trial. Then my monthly bill went up to $24. In those short two weeks, I had the opportunity to navigate its "Help me write" prompt to suggest texts based on what I inserted into the text screen. This can include drafts for a blog post, help writing song lyrics and rewriting original text to edit for tone or to be concise. What are AI summaries? If you've got a long to-do list, the last thing you've got time for is to read a super-long document. This is where AI summaries can help: AI tools can quickly scan everything from a document or a web page to a spreadsheet, and create concise notes on the main points. Think of it as a "too long, didn't read" summary made of any document you need to know the gist of. For now, we're focusing on summarizing Google Docs, but you can also use Gemini to summarize other files from Google Drive and emails from Gmail. How to use AI to summarize a Google Doc with AI Google Step 1: Open a document on Google Docs and highlight to select the text you would like Gemini to help you summarize. Step 2: Click Help me write to the right of the selected text, and choose what you'd like to implement from the drop-down menu -- in addition to Summarize, options include Tone, Bulletize, Elaborate, Shorten, Rephrase or Custom (write your own prompt). Step 3: Click Summarize and see what Gemini comes back with, making sure to double-check that it understood your document and what was important (and ensure the AI tool didn't hallucinate). Step 4: An interesting addition to Google Docs is the ability to provide feedback on the generated text. After creating your summary, you cannote whether Gemini has provided a good or bad suggestion, edit the prompt to update and regenerate text or create a new version of previously written text and click retry. You can also provide general feedback on this feature by navigating to Help > Help Docs improve. If necessary, you can also report a legal concern. To turn off the "Help me write" AI-powered prompt, you must exit Workspace Labs. If you exit, "you will permanently lose access to all Workspace Labs features, and you won't be able to rejoin Workspace Labs." You can learn more about how to exit Workplace Labs here. Who should use Gemini AI? Gemini AI lives on Pixel phones James Martin/CNET Gemini calls its AI writing tool "a useful and interesting resource" if you like finding patterns and connections. I agree. I decided to implement Google Workspace Gemini because of a desire to expedite and streamline writing processes. But I also decided to purchase a monthly Gemini membership because of how seamlessly it integrated with all the other Google products I regularly use. In my digital toolbox, this AI addition truly does help me navigate the most efficient pathway to writing emails and documents. Just make sure you apply the usual AI caveat of double-checking that the tool came back with accurate information before acting on anything, just in case it hallucinated or drew the wrong conclusions. You can check out the Gemini-powered summary of a human-written article at the bottom of this article to see how accurate this AI tool can be. Other AI tools for summarizing text There are many other choices if you need to summarize text and you're not a Google Docs or Gmail person. You can use other AI chatbots like Microsoft Copilot, Anthropic's Claude, Perplexity and DeepSeek. Just prompt the chatbot with a request to summarize something for you, then either copy and paste your document or attach a PDF file. There are also tools specifically made for summarizing text, like Summarizer and QuillBot.
Forbes
5 days ago
- Business
- Forbes
AI Agents Vs RPA: What Every Business Leader Needs To Know
AI agents and robotic process automation may sound similar, but they solve different problems in ... More very different ways Two terms that come up frequently in conversations about business automation today are 'agents' and 'robotic process automation' (RPA). They're often mentioned together because both aim to streamline repetitive, rules-based tasks that were traditionally handled by humans. However, while they share some common ground, especially around automation and the use of 'robots,' they represent very different approaches to solving different kinds of problems. Understanding these differences is essential if you want to choose the right tool for the job. At its core, RPA is about programming software with clear, rule-based instructions to perform simple, repeatable tasks. AI agents, by contrast, aren't programmed; they're trained. Once trained, they're left to get on with the job using tools like natural language models and computer vision to navigate complex tasks and make decisions. So, how does that affect the kind of problems each one is best suited to solve? And more importantly, how do you decide which to use in a given situation? What Robot? Robots, bots, virtual assistants, and, increasingly, 'digital workers' are all terms that have traditionally been used for any machine capable of helping us work. Starting all the way back in 1961, when General Motors installed mechanical arms on its production lines. The term 'robot' covers any machine that can automate work for us. Whether or not it uses the algorithmic, machine-learning-based processes that we call 'AI' today. RPA, however, generally refers to software-based robots, rather than mechanical ones. Technically speaking, RPA isn't intelligent in the same way that we might consider an AI system like ChatGPT to mimic some functions of human intelligence. It simply follows the same rules over and over again in order to spare us the effort of doing it. RPA works best with structured data because, unlike AI, it doesn't have the ability to analyze and understand unstructured data, like pictures, videos, or human language. It's frequently used for repetitive 'production line' work, moving data between applications, and extracting data from structured sources (such as customer databases or financial reports) for analysis. AI agents, on the other hand, use language models and other AI technologies like computer vision to understand and interpret the world around them. As well as simply analyzing and answering questions about data, they are capable of taking action by planning how to achieve the results they want and interacting with third-party services to get it done. If you use ChatGPT or another generative AI chatbot in 'thinking' mode, you can get some idea of how it does this by watching its 'thoughts' as it responds to queries. Instead of just thinking about one query and then replying, it can apply this ability to complex, multi-step tasks and projects. To illustrate the difference, consider a database of customer service emails, and how each could approach this same data set differently to carry out different tasks: Using RPA, it would be possible to extract details about who sent the mail, the subject line, and the time and date it was sent. This can be used to build email databases and broadly categorize emails according to keywords. An agent, on the other hand, could analyze the sentiment of the email using language processing, prioritize it according to urgency, and even draft and send a tailored response. Over time, it learns how to improve its actions in order to achieve better resolutions. While AI agents are a far newer and more sophisticated technology, that doesn't mean they're automatically the best choice for every task. So, how do you know which one to use? So, How Do I Choose? Here are some questions you can ask if you need to consider whether agents or RPA are right for your automation project: Does the task involve clear targets that can be achieved by repetitive action day-to-day? If so, then RPA could be a good fit. Is the data clean and structured, or messy and unstructured? If everything fits nicely and neatly into the rows and columns of a spreadsheet, RPA is probably the right choice. Does the task involve making decisions based on interpretations of human language, behavior or intent? These might be suitable for agents. Will the process change as the task is executed, or will our tools need to adapt to new sources of data? Agents will probably be more useful here. Finally, many projects may be best tackled by taking a hybrid approach. In cases where tasks could be completed by combining both routine automation and intelligent decision-making, this could provide the best of both worlds. For example, an HR onboarding system could involve deploying RPA for processes like setting up access privileges, processing forms and filing standard documents. At the same time, AI agents could answer questions, personalize advice, and monitor the system end-to-end to make sure it's running smoothly. As automation strategies mature, learning to identify opportunities to deploy specific technologies or combine them for maximum efficiency will become increasingly critical to business success.
Associated Press
03-07-2025
- Business
- Associated Press
Year-old European startup Maisa named alongside Google and Amazon in elite list of leading AI agent vendors in top global US research reports by Gartner
SAN FRANCISCO & VALENCIA, Spain--(BUSINESS WIRE)--Jul 2, 2025-- Maisa, a rising star of enterprise AI, has been named by leading global research and advisory firm Gartner in its list of leading vendors for developing reliable AI agents. This press release features multimedia. View the full release here: Maisa founders David Villalón and Manuel Romero Inclusion in Gartner's 2025 Hype Cycle for AI and Hype Cycle for the Future of Work marks the first time a Spanish startup has been mentioned in these influential reports. The company, which is barely a year old and made its first raise of $5m+ from leading US investors last year, now finds itself named alongside global giants Amazon Web Services, Google, Salesforce and LangChain. The Gartner Hype Cycle for AI Agents provides an overview of emerging technologies in AI, helping organizations navigate the evolving landscape of autonomous software agents. The Hype Cycle for the Future of Work provides CIOs with a crucial human-first lens on the transformative AI advancements and disciplines required to ensure success at scale. Maisa is one of two European businesses included in its field in the prestigious report. Its technology allows businesses to use agentic AI to create 'digital workers' who can undertake complex process automation tasks such as regulatory compliance, supply chain control and financial management. It has global clients in banking, automotive and energy. Maisa is unique in the field because its technology is hallucination-resistant. Its workings are traceable and there is a fully auditable trail - what Maisa calls its 'Chain of Work' - meaning businesses can confidently deploy it in critical functions, knowing they can pinpoint exactly how the AI is functioning. Maisa's CEO and cofounder David Villalón: 'We are delighted to be the first Spanish company included by Gartner in its reports and one of only two European companies in the category of AI agents. 'We are especially pleased to be listed alongside global tech titans such as Google and Amazon. 'Our vision and achievements in empowering companies with autonomous, trustworthy AI agents drive real business value and set new standards for intelligent automation.' The Gartner analysis highlights AI agents as rapidly maturing technology with a rare 'high benefit' rating, but points out that there is only a 5% - 20% market penetration to date, implying huge market growth potential. AI agents - defined as autonomous or semi-autonomous software entities capable of perceiving, deciding and acting to achieve goals - are set to revolutionise industries by automating complex tasks, enhancing decision-making and enabling new levels of workflow integration. About Maisa: A Rising Star in Agentic AI Its platform allows enterprises to create and manage AI-powered digital workers capable of automating complex, knowledge-intensive business processes with full transparency, traceability and reliability. It is simple to operate, fast to work and trustworthy. Maisa is enabled by a method the company calls 'HALP' (human-augmented LLM processing), which is a fast, no code and enterprise ready way to train digital workers. Instead of relying on massive datasets or manual programming, HALP enables digital workers to learn directly from real work inside organisations. View source version on CONTACT: [email protected] +44 7595048136 KEYWORD: EUROPE SPAIN UNITED STATES NORTH AMERICA CALIFORNIA INDUSTRY KEYWORD: SOFTWARE INTERNET HARDWARE ARTIFICIAL INTELLIGENCE ROBOTICS DATA MANAGEMENT TECHNOLOGY OTHER TECHNOLOGY SOURCE: Maisa Copyright Business Wire 2025. PUB: 07/02/2025 07:01 PM/DISC: 07/02/2025 07:01 PM
Yahoo
02-07-2025
- Business
- Yahoo
Year-old European startup Maisa named alongside Google and Amazon in elite list of leading AI agent vendors in top global US research reports by Gartner
- First time a Spanish startup has made the list, thanks to its industry-first hallucination resistant 'digital workers' - AI startup is one of two European AI agent vendors in Gartner's Hype Cycle report for Artificial Intelligence and Hype Cycle for the Future of Work lists SAN FRANCISCO & VALENCIA, Spain, July 02, 2025--(BUSINESS WIRE)--Maisa, a rising star of enterprise AI, has been named by leading global research and advisory firm Gartner in its list of leading vendors for developing reliable AI agents. Inclusion in Gartner's 2025 Hype Cycle for AI and Hype Cycle for the Future of Work marks the first time a Spanish startup has been mentioned in these influential reports. The company, which is barely a year old and made its first raise of $5m+ from leading US investors last year, now finds itself named alongside global giants Amazon Web Services, Google, Salesforce and LangChain. The Gartner Hype Cycle for AI Agents provides an overview of emerging technologies in AI, helping organizations navigate the evolving landscape of autonomous software agents. The Hype Cycle for the Future of Work provides CIOs with a crucial human-first lens on the transformative AI advancements and disciplines required to ensure success at scale. Maisa is one of two European businesses included in its field in the prestigious report. Its technology allows businesses to use agentic AI to create 'digital workers' who can undertake complex process automation tasks such as regulatory compliance, supply chain control and financial management. It has global clients in banking, automotive and energy. Maisa is unique in the field because its technology is hallucination-resistant. Its workings are traceable and there is a fully auditable trail - what Maisa calls its 'Chain of Work' - meaning businesses can confidently deploy it in critical functions, knowing they can pinpoint exactly how the AI is functioning. Maisa's CEO and cofounder David Villalón: "We are delighted to be the first Spanish company included by Gartner in its reports and one of only two European companies in the category of AI agents. "We are especially pleased to be listed alongside global tech titans such as Google and Amazon. "Our vision and achievements in empowering companies with autonomous, trustworthy AI agents drive real business value and set new standards for intelligent automation." The Gartner analysis highlights AI agents as rapidly maturing technology with a rare "high benefit" rating, but points out that there is only a 5% - 20% market penetration to date, implying huge market growth potential. AI agents - defined as autonomous or semi-autonomous software entities capable of perceiving, deciding and acting to achieve goals - are set to revolutionise industries by automating complex tasks, enhancing decision-making and enabling new levels of workflow integration. About Maisa: A Rising Star in Agentic AI Its platform allows enterprises to create and manage AI-powered digital workers capable of automating complex, knowledge-intensive business processes with full transparency, traceability and reliability. It is simple to operate, fast to work and trustworthy. Maisa is enabled by a method the company calls 'HALP' (human-augmented LLM processing), which is a fast, no code and enterprise ready way to train digital workers. Instead of relying on massive datasets or manual programming, HALP enables digital workers to learn directly from real work inside organisations. View source version on Contacts rachael@ +44 7595048136 Effettua l'accesso per consultare il tuo portafoglio
