Book Image

Power Platform and the AI Revolution

By : Aaron Guilmette
Book Image

Power Platform and the AI Revolution

By: Aaron Guilmette

Overview of this book

In this AI era, employing leading machine learning and AI models such as ChatGPT for responding to customer feedback and prototyping applications is crucial to drive business success in the competitive market. This book is an indispensable guide to integrating cutting-edge technology into business operations and leveraging AI to analyze sentiment at scale, helping free up valuable time to enhance customer relationships. Immerse yourself in the future of AI-enabled application development by working with Power Automate, Power Apps, and the new Copilot Studio. With this book, you’ll learn foundational AI concepts as you explore the extensive capabilities of the low-code Power Platform. You’ll see how Microsoft's advanced machine learning technologies can streamline common business tasks such as extracting key data elements from customer documents, reviewing customer emails, and validating passports and drivers’ licenses. The book also guides you in harnessing the power of generative AI to expedite tasks like creating executive summaries, building presentations, and analyzing resumes. You’ll build apps using natural language prompting and see how ChatGPT can be used to power chatbots in your organization. By the end of this book, you’ll have charted your path to developing your own reusable AI automation patterns to propel your business operations into the future.
Table of Contents (16 chapters)

What kinds of things can Generative AI do?

The remarkable power of Generative AI lies in its ability to create realistic and diverse outputs that exhibit human-like creativity. For instance, in the area of visual arts, Generative AI can produce lifelike paintings, generate photorealistic images, or even assist in designing new products with particular aesthetics. In music composition, Generative AI algorithms can compose original melodies and harmonies, imitating the style of different composers or creating entirely new musical genres. Similarly, in the realm of storytelling, Generative AI can develop compelling narratives, write poetry, or generate realistic dialogue.

The impact of Generative AI extends far beyond artistic and creative pursuits. It has already found applications in various fields, including data augmentation, synthetic data generation, video game design, and drug discovery. Generative AI techniques can also aid in enhancing existing content, enabling the creation of high-quality image upscaling, text summarization, and even voice synthesis that closely resembles human speech! The future of what AI can do is only limited by the creativity of the people building and training the models.

However, Generative AI is not without its challenges. Ethical concerns, such as the potential for misuse or the propagation of biased content, need to be addressed. Striking the right balance between the creativity of the AI system and its alignment with societal values is a crucial aspect that requires careful consideration.

Ethical and responsible AI

The responsible use of AI is critical to ensuring its success in the marketplace. Responsible AI includes concepts such as fairness (treating every user equitably), inclusiveness (making sure people of all races, genders, and abilities are empowered to use the systems), transparency (understanding how the AI models reached their conclusions), and accountability (ensuring people can be held responsible for an AI system’s decisions).

Responsible AI design and use covers all aspects of all AI systems, from machine learning models having representative data samples that don’t hold biases toward nationalities or genders to ensuring Generative AI doesn’t get used for creating likenesses of people (sometimes called deepfakes) without their consent.

Microsoft, in part, has been working on establishing principles for ethical and responsible AI. You can read more about their commitments here: https://www.microsoft.com/en-us/ai/responsible-ai.

Overall, though, Generative AI represents a significant breakthrough in working toward AI. By harnessing the power of machine learning and deep neural networks, Generative AI systems can unlock new realms of creativity and innovation, business automation, and human-to-computer interaction.

Not to mention, it’s also unleashing many ninja cat dinosaur mashups:

Figure 1.1 – Bing Image Creator, powered by DALL-E

Figure 1.1 – Bing Image Creator, powered by DALL-E

Let’s shift gears to understanding how various types of AI might be used in the context of business – specifically, with Microsoft’s Power Platform.