Robotic process automation (RPA) frees human workers to focus on the things they do best and enjoy more, like interacting with customers and collaborating on innovative business projects.
There are 3 benefits of RPA for employees:
Time savings IT Central Station members are fully utilizing RPA so employees can concentrate on more valuable work. For example, Larry H., a systems administrator at a large insurance agency said: “We’ve got robots now taking 10 seconds to do what people were taking four to six minutes to do. It’s a whole department of people that are now free to do other things.”
Happier employees IT Central Station members have seen an increase in employee satisfaction thanks to RPA. An RPA developer at a consultancy explained that employees who work alongside the bots are usually a lot happier because they have to juggle fewer tasks. The robots are there to make people feel like people and not like robots, doing the same thing over and over and not enjoying what they’re doing.
Combating monotony at work Doing the same thing over and over every day can be tough on workers. UiPath allows employees to delegate mundane tasks to their personal automations. RPA saves time and allows them to perform more important functions. Some employees benefit because sometimes they get bored with the repetitive jobs they have to do at work. Now, they can use automation and “apply their brains somewhere fruitful”.
Express design in Power Apps is the ability to instantly generate low-code apps directly from design files and images. Now customers can create web and mobile apps from a broad range of inputs—including paper forms and PDFs, sketches on the whiteboard, and even professionally-designed assets in Figma. Express design adds to the many ways in which Power Platform is applying advanced AI to assist more people in driving innovation for their teams and businesses.
Power Apps express design is like an AI-powered copilot helping create apps alongside you.
Here’s how it works:
Get going with a variety of content types Start with a paper form, PowerPoint, PDF, a screenshot of a UI from a legacy app, or even a picture of a hand-drawn app that you’ve sketched out on paper. Or point to a design file in Figma.
Advanced AI will scan your file Using cognitive AI models that are trained to recognize common application elements, Power Apps will automatically generate an app with a working user experience and data schema in Microsoft Dataverse.
Tune the model to get exactly what you need From the AI-generated starting point, make quick inline adjustments.
Seamlessly connect to all of your data Easily adapt and configure the application using low code. Use more than 675 prebuilt connectors to integrate with your existing systems including SAP, Salesforce, and SQL.
Add as many screens as you like To add more screens to the app, simply upload additional files, or create them easily in the low-code Power Apps Studio.
You can read more about AI-powered express design here.
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GPT-3, on other words the third generation Generative Pre-trained Transformer, is the most powerful language model ever. Developed by OpenAI GPT-3, is a neural network machine learning model trained using internet data to generate any type of text. It requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text. The model has 175 billion parameters, where it’s precursor – GPT-2’s – has only 1.5 billion parameters.
GPT-3 is trained to generate realistic human text, and has been used to create articles, poetry, stories, news reports and dialogue using just a small amount of input text that can be used to produce large amounts of quality copy. The model is also being used for automated conversational tasks, responding to any text that a person types into the computer with a new piece of text appropriate to the context. GPT-3 can create anything with a text structure, and not just human language text. It can also automatically generate text summarizations and even programming code.
GPT-3 is a language prediction model – it has a neural network machine learning model that can take input text as an input and transform it into what it predicts the most useful result will be. This is accomplished by training the system on the vast body of internet text to spot patterns. More specifically, GPT-3 is the third version of a model that is focused on text generation based on being pre-trained on a huge amount of text. When a user provides text input, the system analyzes the language and uses a text predictor to create the most likely output. Even without much additional tuning or training, the model generates high-quality output text that feels similar to what humans would produce.
Microsoft announced 12 new languages and dialects have been added to Translator. With these additional languages, service can now translate between more than 100 languages and dialects! Now information in text and documents is accessible to 5.66 billion people worldwide.
Recently added languages and dialects :
Bashkir, Dhivehi, Georgian, Kyrgyz, Macedonian, Mongolian (Cyrillic), Mongolian (Traditional), Tatar, Tibetan, Turkmen, Uyghur and Uzbek (Latin).
Thousands of organizations have turned to Translator to communicate with their members, employees and clients around the world. Translator (a cloud-based neural machine translation service), is part of the Azure Cognitive Services, which is the only cloud search service with built-in AI capabilities that enrich all types of information to help you identify and explore relevant content at scale. Azure Cognitive Search in addition to language, include AI models for speech, vision and decision-making tasks. These models enable organizations to leverage capabilities, such as a Computer Vision technology known as Optical Character Recognition. This service extracts text entered on a form in any of the more than 100 languages covered by Translator and uses the text to populate a database.
You can read more about Microsoft translation technology here.
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Microsoft professionals have built an artificial intelligence system that can generate captions for images that are, in many cases, more accurate than the descriptions people write. Automatic image captioning helps all users access the important content in any image, from a photo returned as a search result to an image included in a presentation. A research breakthrough like this one can improve those results, but of course it does not mean the system will return perfect results each time. Image captioning is especially important for people who are blind or have low vision. For example, image captioning is used in capability in the Seeing AI talking camera app designed especially for blind/having low vision people. The app uses image captioning to describe photos, including those from social media apps.
The new model is available to customers via the Azure Cognitive Services Computer Vision offering, which is part of Azure AI, enabling developers to use this capability to improve accessibility in their own services. It also is being incorporated into Seeing AI and will be rolling out in Microsoft Word and Outlook, for Windows and Mac, and PowerPoint for Windows, Mac, and web.
You can read more about Image Captioning using Azure Cognitive Services here.
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