Digital Transformation in Sports session at Data Science & Technology Club at the University of St.Gallen

Yesterday, we had the pleasure of meeting post-graduate students from the University of St.Gallen. We spoke about AI-infused #digitaltransformation in the #sports industry with a focus on fan engagement. The discussion spanned various topics about what Sports Clubs and Federations are doing to leverage AI-infused technology on #Azure and #PowerBI to gain a better understanding of their fans (millennials & Gen-Z); personalize their content & experience, and target them with specific digital engagement activations. I’d like to thank the students from the University of St. Gallen for their active participation during the event, and especially Jana Plananska from the Data Science & Technology Club at the University of St.Gallen for hosting and coordinating the event.

#artificialintelligence #switzerland #digitalengagement

AI in Procurement & Sourcing

Procurement and sourcing functions play a big role in our organizations today. Computer vision, knowledge mining and advanced analytics can help to identify risk positions across the supply chain, review and approve purchase orders, analyze spending and manage sourcing events. By applying these technologies, companies benefit from fast, efficient and effective processes to manage their supply chain.

Bianca and I are back with the seventh episode of One Minute AI. This time we will talk about infusing AI in Procurement & Sourcing. Don’t forget to check out the PointDrive here: https://lnkd.in/dKa5yD7

Episode 7: Procurement & Sourcing

Detect and Respond to Digital Crimes

Fraud in banking is known as a growing phenomenon for quite some time. In a world of digitalization, also the ways of fraud have been digitized. Speed is key to detect it and therefore the traditional detection methods will need to be infused with AI as it can help to detect it in seconds and reduce the enormous amounts of false positives.

Bianca and I are back with the sixth episode of One Minute AI. This time we will talk about detection & prevention of digital crime in the financial services industry using AI. Don’t forget to check out the PointDrive here: https://lnkd.in/gue936d

Episode 6: Detect and Respond to Digital Crimes

Make Better-Educated Decisions With Digital Twins

Businesses today are intensively looking at ways to increase efficiency, reduce operational costs, maintain safety and mitigate risks. Digital Twins – live digital replicas of physical assets – allow businesses to monitor current operations and predict future performance of devices. Whether we talk about a smart building scenario or the production line of a manufacturing company – Digital Twins are a safe and cost-effective way to model a variety of simulations.

Bianca and I are back with the fifth episode of One Minute AI. This time we will talk about creating a digital replica of your physical devices using Digital Twin. Don’t forget to check out the PointDrive here: https://lnkd.in/g8QDsAh

Episode 5: Digital Twins

Turn Data into Knowledge through Knowledge Mining

Around 80% of the data in businesses is estimated to be unstructured. As a result, it costs additional time and money to manage. Internally, decisions are less informed, take longer to make, work is done manually. Externally, user experience on apps can be difficult to navigate, and customers may not be able to find relevant content and products. The information has the potential to become an asset or a burden, depending on how you use it. So we’re all faced with a similar challenge: how do we apply our information meaningfully to our products and businesses?

Knowledge mining allows you to unlock valuable information lying latent in all your content to gain more insights and support your decision making processes. By building Knowledge Graphs, disparate silos of data containing structured and unstructured data are connected to gain insights, apply machine learning models and ultimately turn data into knowledge.

Bianca and I are back with the fourth episode of One Minute AI. This time we will discuss leveraging your data asset through Knowledge Mining. Don’t forget to check out the PointDrive here: https://lnkd.in/gdZ4HhZ

Episode 4: Knowledge Mining

Leverage your data to understand your customers with Connected Consumer

Cognitive Computing empowers machines to see, hear, speak, understand and interpret customer needs, enhance security through advanced facial recognition and analyze large volumes of data to make better informed decisions. View the customer stories below to get inspired and don’t hesitate to contact us anytime to discover, how Microsoft Services can help you transform your business with Cognitive Computing.

Bianca and I are back with the third episode of One Minute AI. This time we will discuss how AI enables you to gain a deep understanding of your customers. Don’t forget to check out the PointDrive here: https://lnkd.in/g2AGpHx.

Episode 3: Connected Consumer

Leverage your data to understand your customers with Connected Consumer

Transform your business with Cognitive Computing

Bianca and I are back with the second episode of One Minute AI. This time we will touch base on Cognitive Computing. Don’t forget to check out the PointDrive here: https://lnkd.in/gfZ8u8J.

Episode 2: Cognitive Computing

Personalize Customer Experience and Enhance Productivity with Conversational AI

Intelligent bots transform your enterprise by improving customer satisfaction through personalized experiences and increase productivity through automated workflows. Microsoft Services can help you to transform the way you interact with internal and external stakeholders through a series of mission-driven engagements. We work with your business to explore the art of possible and help you build, test, deploy and improve conversational AI solutions.

Bianca and I are excited to announce today that we are starting our new One Minute of AI series. We will touch base on current AI market trends and explain how Microsoft Enterprise Services can help you. Our video today is about Conversational AI & Bots. Don’t forget to check out our customer stories on PointDrive: https://lnkd.in/dpsZfTY.

Episode 1: Conversational AI & Bots

Personalize Customer Experience and Enhance Productivity with Conversational AI

Improve your email sentiment using machine learning and an Outlook add-in

As we nurture our culture in Microsoft, we are encouraged to embrace the growth mindset. We are better together, especially when fostering an inclusive and diverse environment. Constructive feedback is key to help you and your colleagues to grow. Today’s post is about adding another tool to your constructive feedback mission.

In this post, we will build an application level add-in, and deploy it to Outlook using Microsoft Visual Studio Tools for Office (VSTO). The add-in will use Microsoft Cognitive Services Text Analytics API to analyze the sentiment of your email contents, and give you feedback.

You can find the source code of our sample on GitHub: https://github.com/codedebate/Samples-ConstructiveFeedbackAddIn.

Step 1: Let’s agree on the scope of our sample

Honestly, it took me a while to agree on a direction. Should the add-in analyze automatically the sentiment of every email using machine learning? or should it be reactive, where users will have to consult it?

When its about user experience, automatically scanning every email the user sends makes a lot of sense, yet requires lots of maintenance e.g. anonymization list to remove all keywords that might indicate your identity like company names, products, and even people before consulting Microsoft Cognitive Services Text Analytics API. In addition, the need of the user consent, privacy, etc.

To ease the pace, we will host our logic inside an Office Ribbon button to be invoked re-actively upon the user’s wish.

Being hosted within the same process, application level add-ins should be thin aka most if not all the logic processing should happen externally. Therefore, we will create an ASP.NET Web API and deploy it to an Azure Web App. When invoked, the add-in will send a POST action to the API with the content of the email. Upon receiving the response, it will display a message with the detected sentiment.

The below screenshots describe the add-in in action. Notice that I used the sentiment visuals from Twemoji on Git Hub and WordPress Emoji Everywhere. Twitter open sourced and published them on Git Hub. Thank you Twitter 🙂

Add-in in action with a negative sentiment feedback

Add-in with a positive sentiment feedback

Continue reading →

Live Dashboards with Power BI and Azure Stream Analytics

In this post, we will build a Live Dashboard using Power BI. You can find the client’s source code on GitHub: https://github.com/codedebate/Samples-FakeHeartMonitor.

Step 1: Let’s agree on the scope of our sample

Since our target is to build a Live Dashboard using Power BI, we will need a data source that keeps on generating our sample’s live data aka an Event Publisher. Below is an animated GIF screenshot of a Universal Windows Application that I built for this post. In a nutshell, it will fake a heart monitor readings for three different patients.

Sample client to generate our data stream

The code is very simple, I just used a DispatcherTimer to generate new random readings every second between 80 and 95. Once those are generated, they will be relayed using Azure Service Bus Event Hub and Azure Stream Analytics to our Dashboard in Power BI.

Fake Heart Beat Rate Monitor Solution