Use AI and Automation with the Microsoft Cloud

Posted by Marbenz Antonio on October 24, 2022

Nexans - Nexans to electrify the future through digital technology using  Microsoft Azure, AI and analytics

At Microsoft Ignite this year, Microsoft will investigate how businesses can integrate AI and automation into their daily operations and empower developers to leverage those same intelligent building blocks to create different user experiences.

Unprecedented levels of uncertainty have been brought on by the global pandemic, and we now need to sense and change our physical and digital environments in sometimes very unusual ways. Leaders from all industries agree that innovation is the only way forward. Additionally, they’ve observed a shift away from “innovation for innovation’s sake” and toward a goal to cut costs, predict trends, lessen carbon footprints, and improve customer and employee experiences. This dedication to innovation is what they refer to as “digital perseverance.”

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AI and Automation: Use the Microsoft Cloud to do more with less

AI and automation are essential components for increasing efficiency in organizations and assuring digital life. For example, Komatsu Australia, a major producer of industrial equipment, automated over 1,000 invoices annually and realized a 300-hour increase in productivity—and that was just for one supplier—by using Power Automate and AI Builder. Additionally, these features improve staff engagement. The use of no-code or low-code platforms or apps has been shown to have an 83 percent positive impact on work satisfaction among individuals surveyed in a recent Microsoft study. Everyone benefits when people are freed from boring, pointless tasks and feel empowered to give their best work.

To differentiate themselves from rival companies and spur growth, organizations are also using AI and automation to reinvent their industries. In a recent poll, respondents who said they were investing in AI said that the major reason was to develop new products or services, while only 43% said the main reason was to improve already-existing products and services. Technical and non-technical roles can access reducing AI and automation technologies directly in their workflow using the Microsoft Cloud to improve productivity. For example, Fashable, a technology start-up in Portugal, uses Azure Machine Learning to identify customer attention in computer-generated fashion designs before the designs are sewn, thereby reducing the waste associated with “fast fashion.” Another outstanding example is the global financial services company Investec, which uses conversation intelligence in Microsoft Dynamics 365 Sales to assist its sales representatives in being more productive on calls, following up promptly, and maintaining vital customer information, raising the bar in the sales process and fostering growth.

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Everywhere and for everyone: AI and Automation

Microsoft is integrating AI and automation across the Microsoft Cloud, from Viva Sales to Power Platform and Azure AI, because they believe everyone should have access to these transformative technologies. Customers can take advantage of the skills and resources they already have and confidently combine platforms as required, all while building on a secure, flexible, and integrated foundation within the Microsoft Cloud.

Improve customer engagement and improve seller productivity with Dynamics 365 and Viva Sales

To help professionals concentrate on what matters most—creating wonderful customer experiences—Microsoft is introducing automation and AI into Dynamics 365. To free up time for selling, Microsoft Viva Sales, a seller experience application that is now broadly available, collects customer and deal insights from Microsoft 365 and Teams and populates them into any customer relationship management (CRM) system.

Today, they declare that all users of Dynamics 365 Sales and Viva Sales will have free access to conversation intelligence features. By suggesting talking topics and sales materials share with the customer, conversation intelligence allows AI to facilitate sales dialogues in real time. Additionally, Outlook provides sellers with customer email insights that can be updated directly in their CRM.

Use Microsoft Syntex to empower people and automate processes

In the form of videos, audio files, documents, and other types, content may be found anywhere. According to Microsoft research, businesses store and manage content for up to $46 billion annually, saving countless hours of labor. To turn content from a cost into an advantage, content AI changes how it is produced, analyzed, and found.

Microsoft Syntex: Content AI integrated into the workflow is something Microsoft is excited to announce. From Microsoft 365 to Azure, Power Platform, and Microsoft Purview, it integrates advances from throughout the Microsoft Cloud. To connect large volumes of content where it is needed in context—in search, in applications, and as reusable knowledge—Syntex automatically reads, tags, and indexes the content. With content integrated into procedures like eSignature and collaboration, it prioritizes people. Customers like the overseas supplier of golf equipment TaylorMade Golf Company use Syntex to empower their employees and scale up workflow automation.

By using Power Platform to automate repetitive tasks, improve operational efficiency

There is nothing quite like Power Platform when it comes to transforming business operations. Low code enables people and organizations to perform more work at a lower cost. Anyone can construct apps and websites, automate processes, set up virtual assistants, and conduct data analysis thanks to Power Platform. They’re glad to present new developments at Microsoft Ignite that make low-code and AI more understandable for users of all skill levels.

Microsoft added natural language capabilities to Power Automate with descriptions to cloud flows, building on the success of GitHub Copilot. Now, all a maker needs to do is describe the flow they want to create in natural language, and suggestions for related flows are created; the maker then adds connections to finalize their flow. It is that simple. A feedback loop in AI Builder now has new support for unstructured data and text recognition to identify 164 languages, and it allows you to flag and retrains documents for greater accuracy.

Using Azure Applied AI and Cognitive Services to quickly and easily integrate AI into business apps

Developers can deploy intelligent applications rapidly by using the pre-built and customized models offered by Azure Applied AI Services and Azure Cognitive Services. While there was a general increase in AI use during the pandemic, certain use cases—such as document processing for H&R Block, knowledge mining for Beiersdorf, and natural language understanding in sales and support scenarios for Progressive Health coverage significantly expedited. These businesses use Azure AI services to simplify task procedures so that users and staff may focus their time and effort on important work.

Customers may now extract elements like parties and payment terms for further processing using a new pre-built model for contracts in the Azure Form Recognizer Studio. The preview release of Azure OpenAI Service now allows for invitation-only access to DALLE 2. Expanded summarization, contact center functionality, language support, and Language Studio improvements are now available with Azure Cognitive Service for Language.

With Azure Machine Learning, create and deploy responsible machine learning models more efficiently to boost productivity at any scale

Azure Machine Learning offers a strong, unified machine learning platform for businesses creating their own predictive models, assisting teams in putting models into use more quickly. Azure Machine Learning registries, which enable teams to share registries at the tenant and organization level for better repeatability and scale, are a great way to improve teamwork. They’ve also integrated open source tools under the more generally accessible Responsible AI Dashboard for simpler debugging straight within a data scientist’s workflow in order to help good work more with less. Finally, they support organizations in creating using the frameworks they are already familiar with and enjoy. Team members may now optimize PyTorch model training right inside the Azure Machine Learning Studio or SDK thanks to our most recent release of the Azure Container for PyTorch.

Using the industrial metaverse to achieve the next level of insights, effectiveness, and sustainability with AI and Automation

One of the more interesting situations when discussing how data, automation, and AI may come together to have a significant influence is in the industrial metaverse. One illustration is the way Bosch created their industrial metaverse with the demands of many users in mind.

By improving predictive maintenance with the Internet of Things (IoT) and Azure Digital Twins, Bosch is minimizing complexity on its production floors. Before something breaks down or when there is an issue, their machines send out an alert. When a service ticket is needed, Microsoft Dynamics 365 Field Service or Microsoft Teams are automatically notified of the alerts. Additionally, as the system feeds back information, Bosch’s predictive maintenance models get better over time. By merging platforms, Bosch allows everyone to contribute their knowledge and increase productivity, from front-line employees to operations managers and data scientists. That kind of innovation drives Bosch to the top of the manufacturing industry.

Digital perseverance is inclusive and responsible with AI and Automation

Using digital technology to achieve business objectives and get more done with limited resources, digital perseverance allows enterprises to survive in the face of uncertainty. With its combination of industry-leading platforms for CRM, Robotic Process Automation (RPA), and Cloud AI Developer Services, among others, Microsoft offers an unrivaled basis for this. To allow our customers and business partners to responsibly innovate for the future of work, we are also committed to the progress of AI that is defined by principles that put people first. We are helping people in getting the most out of their technology stack and ensuring that everyone from the front line to the back office can contribute their best work by democratizing leading and responsible innovation across the Microsoft Cloud.

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