The deep bi-directional integration will allow employees to get more done in the flow of their work through seamless access to information from interactions with business applications in 麻豆原创, as well as Microsoft 365.

I often get asked the question, 鈥淗ow many copilots do I need for my business?鈥�

The answer is not about how many, but which you use when.

By integrating two of the leading generative AI copilots for business, users can use both simultaneously to get work done. And future plans for bi-directional integration will allow users to benefit from one experience, no matter which copilot they use.

鈥淯nlocking the massive potential AI has to offer requires capabilities that are high value, reliable, and available in-context in the applications that people use today,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE and head of 麻豆原创 Product Engineering. With the bi-directional integration of Joule and Copilot for Microsoft 365, we鈥檙e enabling employees to get more done in the flow of their work through seamless access to information from business applications in 麻豆原创 as well as Microsoft 365.鈥�

鈥淢icrosoft and 麻豆原创 are committed to providing world-class solutions to help our customers solve their most fundamental business challenges,鈥� said Scott Guthrie, executive vice president of Cloud + AI at Microsoft. 鈥淭he integration of Microsoft Copilot and Joule brings together the power of generative AI to unlock greater employee productivity and will enable enterprises to accelerate customer-centric innovation in a unified experience.鈥�

麻豆原创 and Microsoft will start integrating their Joule and Copilot for Microsoft 365 later this year, combining enterprise data residing in 麻豆原创 with contextual knowledge from Microsoft 365, including Microsoft Teams, Microsoft Outlook, Microsoft Word, and more, delivering richer insights for better decision-making.

With this integration, 麻豆原创 and Microsoft are creating entirely new ways to boost productivity.

For example, by bringing Copilot for Microsoft 365 into Joule, a user can book a flight using 麻豆原创 Concur and Joule, and Joule can block their calendar in Microsoft Outlook.

Or, consider a product manager working on a new product launch with a cross-functional team: they have regular meetings on Microsoft Teams and collaborate with Microsoft 365. Joule can connect to the team鈥檚 individual skill profiles stored in 麻豆原创 SuccessFactors software and core business information that resides in 麻豆原创 S/4HANA Cloud. The new integration enables product managers to coordinate business activities with the team, simply by using a few queries.

Today鈥檚 collaboration, as well as the聽聽last week, is the next step in a long-standing partnership between 麻豆原创 and Microsoft, using the latest in enterprise-ready generative AI innovation to help solve customers鈥� most fundamental business challenges.

Philipp Herzig is chief artificial intelligence officer of 麻豆原创.

The post Joule to Integrate with Microsoft Copilot for a Unified Work Experience appeared first on 麻豆原创 UK News Center.

Building a solid data foundation and achieving information excellence is essential to delivering the business agility needed to navigate change and rapidly make business decisions. Helping business teams harness their data assets and the responsiveness to adjust the collection and communication of these valuable resources is extremely relevant to support the improved efficiencies needed within the organisation in times of change.

So, we鈥檝e brought together experts in data management and strategy to discuss key topics and trends that are reshaping the way companies leverage data, to unlock the full potential of this valuable enterprise asset.

Listen to this podcast series on all things data!

Watch for new podcasts and catch up on topics you might have missed.

You can listen on , , , or

Season 6 Preview: Podcasts on data strategy, use cases and related 麻豆原创 solutions

This episode describes 麻豆原创 Signavio Process Intelligence: why, what and how. It also discusses the integration between 麻豆原创 Signavio Process Intelligence and 麻豆原创 Data Intelligence.
Speakers: Senior Director 麻豆原创 Signavio Process Intelligence, ; and Senior Director Data Management Solution Marketing at 麻豆原创, .

This episode introduces you to 麻豆原创 Signavio. You will gain a good introduction to Siganavio, the key elements and how 麻豆原创 and Signavio work together for process improvement.
Speakers: Senior Director 麻豆原创 Signavio Process Intelligence, ; and Senior Director Data Management Solution Marketing at 麻豆原创, .

This podcast is about the foundation that Board members, particularly those of non-data-native companies, need so they can address the most important opportunities and risks, probe more deeply, and fulfill their oversight responsibilities around data. Join , 鈥渢he Data Doc,鈥� President of Data Quality Solutions, and , Enterprise Data Management & Data Strategy Innovator at 麻豆原创, as they share their insights.

Join this interactive discussion with women who have spent their careers in data-related positions, including VP of Global Marketing and Solutions at 麻豆原创, 聽Senior Director in Data Management at 麻豆原创, Product Marketing Manager at AWS, and Senior Director in Data Management at 麻豆原创, . You will hear their opinion of where data management is today, some tips if you want to get into a data-related career, and some insight on the importance of data-focused advocates across industries.

This episode explains document processing, the partnership with OpenText and a recent ROI study on the reduction of costs, improved performance and effective migration to S/4HANA.
Speakers: Senior Global Director for Marketing and Solutions, ; and Senior Director 麻豆原创 Solution Marketing, .

This podcast builds on Ep 51 where we discussed data management services available in 麻豆原创 Business Technology Platform. In this episode we learn about a company with siloed and disconnected data that lacked business context. This podcast shares how the 麻豆原创 Business Technology Platform, and specifically the data and analytics services, were used to add business context to the existing data sprawl to enable confident decisions.
Speakers: Senior Director Platform & Technology Product Strategy at 麻豆原创,; Data Management Solution Management Lead at 麻豆原创, Axel Schuller; Senior Director Data Management Solution Marketing at 麻豆原创, .

Did you know that financial data reconciliation is a must-have for every 麻豆原创 implementation project? What is it and why does every organisation need to pay attention to it? Join Syin Tan, Kevin Zheng, Lucas Morris and Sam Bannigan, representatives from Deloitte鈥檚 Data Practice, as they discuss the costs, risks and compliance requirements of financial reconciliation, and how they leveraged 麻豆原创 Data Intelligence to stay on top of this critical success factor.
Speakers: Data Specialist at Deloitte Consulting, Kevin Zheng; Finance and Data Specialist at Deloitte Consulting, ; Finance Specialist at Deloitte Consulting, .

This podcast explores the most important data management services available in the 麻豆原创 Business Technology Platform. These services include data cataloguing and metadata management, data integration, and data processing. We will also discuss how these services are used across the data and analytics portfolio within the 麻豆原创 Business Technology Platform. Listen in to get the latest on data management services and how you can use them.
Speakers: Senior Director Platform & Technology Product Strategy at 麻豆原创, ; Data Management Solution Management Lead at 麻豆原创, Axel Schuller; Senior Director Data Management Solution Marketing at 麻豆原创, .

Sodales Solutions builds solutions for a company’s health, safety, and environment management 鈥� and they do so by using 麻豆原创 Business Technology Platform (麻豆原创 BTP). Through their ongoing innovation and reliance on 麻豆原创 BTP, Sodales is making the most out of the white spaces they identify. Listen to what the “麻豆原创 BTP role model” has to say and learn more about their innovation approach, thoughts about the 麻豆原创 store, hiring criteria and more.

Data volume growth is accelerating. The costs and risks to manage all that data go beyond just storage. Join CEO of Auritas, ; and Senior Director for Solution Management, Business Technology Platform at 麻豆原创, , as they discuss how and why to manage the lifecycle of data while balancing the cost of resources, ownership, risk and legal compliance.

In this podcast episode, you will hear from executives at 麻豆原创, IDC and 麻豆原创 partner Rizing, on the value partners derive from 麻豆原创鈥檚 Business Technology Platform (麻豆原创 BTP). Led by (Director, Software Channels & Ecosystems at IDC), an informed discussion with (CTO, Rizing) and (Global VP Partner Solution Advisory, 麻豆原创) expands on the findings of the IDC Partner Success Guide, which explores the business and technology accelerators available to partners through 麻豆原创 BTP. The executives cover topics such as how Rizing is innovating with 麻豆原创 BTP, the scope and impact the platform has on the customer lifetime value, and the 麻豆原创 programmes offered to ensure partner success with 麻豆原创 BTP.

Ratan Yedla and from VASPP Technologies discuss how Commodity Price Prediction works with 麻豆原创 Data Intelligence. They discuss the use of AI () and ML (Machine Learning) models to predict future prices based on previous patterns, external events and IoT data. This聽 predicts prices with less forecast error to enable better buying decisions which helps yield cost savings for organisations. VASPP Technologies did this work during the 麻豆原创 Data Intelligence content sprint.

and from DataXstream discuss building Intelligent Automation (IA) and the advantages of using 麻豆原创 Data Intelligence for MLOps. The team goes over the problem wholesale distributors face with trying to fulfill large quotes and orders accurately and efficiently. Traditionally, this required Customer Service Representatives (CSRs) who understood 麻豆原创 GUI and had years of industry experience, spending hours inputting data. With Intelligent Automation, optical character recognition (OCR) is used to read text into the machine learning models built by Xilin. He discusses the natural language processing (NLP) techniques used in addition to the advantages of developing machine learning pipelines in 麻豆原创 Data Intelligence. Kathleen and Xilin then wrap up with the future of Intelligent Automation and the potential of using machine learning to win more deals and improve customer buying experience.

If you are interested in learning more, check out additional resources and information located here:

The post 麻豆原创 Let’s Talk Data Podcast Series appeared first on 麻豆原创 UK News Center.

Artificial intelligence can help provide an improved customer experience and enable retailers to make better use of data to control inventory

Inventory management is the cornerstone of any reputable . It can be the difference between providing an exceptional user experience and one that leaves customers disappointed or frustrated, something retailers can鈥檛 afford.

For example, inventory management ensures advertised products are in stock; too often customers will click on a promotion to discover an item is only available in the wrong model, size or colour. The reason is the promotion is disconnected from real-time inventory levels, leading to a poor customer experience.

The post Agile Commerce Connecting Customers With The Products They Want To Buy appeared first on 麻豆原创 UK News Center.