Microsoft Power Platform: Power BI, PowerApps & Flow

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Session delivered for Modern Workplace Conference Exponant / QBS on 25 September 2019 Overview on the Power Platform, Power BI, Power Apps & Power Automate

Technology

Microsoft
Modern
Workplace
25 September 2019

Power
Platform:
Power BI,
PowerApps &
Flow

Tracy van der Schyff @tracyvds
To facilitate the evolution of human capabilities, my passion is to empower people and
therefore training and change management lie close to my heart. My Mission is to
positively impact WHAT and HOW people create, as I believe that what we design /
create, designs / creates us back (Ontological design). It is about enabling others to
serve themselves better, expand their possibilities, increase their capacity to learn, act
more effectively and better design their future.

Microsoft Power Platform
Microsoft Flow
Microsoft PowerApps
Microsoft Power BI
Key Points

Office 365
Power BI
ANALYZE
Flow
AUTOMATE
PowerApps
ACT
Dynamics 365
Standalone Apps
Microsoft
Power
Platform
Common Data Service for Apps and
Data Connectors

What's hot

Power Automate Overview

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ทีมงาน MVPSkill ร่วมกับบริษัท ไมโครซอฟต์ (ประเทศไทย) จำกัดขอเชิญผู้สนใจเข้าร่วมงาน “Power Platform Series : App in a day in Action” งานที่จะมาพาผู้เข้าร่วมงานทุกท่านเดินทางสู่การพัฒนา Application ขึ้นใช้เองในองค์กรอย่างง่ายๆ โดยใช้ Power Platforms ที่มีประสิทธิภาพ และอำนวยความสะดวกให้ท่านเป็นอย่างมาก ท่านจะสามารถพัฒนา Application ขึ้นเองได้โดยเขียน Code เพียงไม่กี่บรรทัด (หรืออาจจะไม่ต้องเขียนเลยก็ได้)

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

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Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

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This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

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Microsoft Power Platform: Power BI, PowerApps & Flow

1. Microsoft Modern Workplace 25 September 2019

2. Power Platform: Power BI, PowerApps & Flow

3. Tracy van der Schyff @tracyvds To facilitate the evolution of human capabilities, my passion is to empower people and therefore training and change management lie close to my heart. My Mission is to positively impact WHAT and HOW people create, as I believe that what we design / create, designs / creates us back (Ontological design). It is about enabling others to serve themselves better, expand their possibilities, increase their capacity to learn, act more effectively and better design their future.

4. Microsoft Power Platform Microsoft Flow Microsoft PowerApps Microsoft Power BI Key Points

5. Microsoft Power Platform

6. Office 365 Power BI ANALYZE Flow AUTOMATE PowerApps ACT Dynamics 365 Standalone Apps Microsoft Power Platform Common Data Service for Apps and Data Connectors

7. Microsoft Flow

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11. Microsoft Power BI

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14. THANK YOU!