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3 Obstacles to Regulating Generative AI

Harvard Business Review

Governments are coming out with new laws and regulations aimed at containing the risks posed by generative AI. A better approach is to regulate the development processes used to develop generative AI and to embed laws within software systems.

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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

AI technologies are enabling a more data-driven approach to innovation management, enhancing the ability to predict trends, understand consumer behavior, and generate creative ideas at scale. It helps organizations to: Anticipate future trends and consumer demands. Tailor products and services to specific market segments.

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Building Intelligent GPT Chatbots with Power Virtual Agents and Co-pilot: Best Practices and Considerations

Acuvate

Understanding GPT Chatbots GPT chatbots are generative AI bots that use machine learning, LLM’s and natural language processing (NLP) to generate responses based on user input. This allows the chatbots to understand natural language and generate responses that are both relevant and contextually appropriate.

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AI-Powered Design Thinking: Accelerating Innovation and Insights

Leapfrogging

Examples of AI in the Design Process AI’s application within the Design Thinking process is multifaceted. Below are some examples that illustrate how AI is being incorporated: Idea Generation : AI-powered tools can suggest design options based on previous successful projects and current design trends.

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The Future of Design Thinking: Embracing AI Tools for Success

Leapfrogging

By incorporating AI into the brainstorming process, teams can overcome cognitive biases and explore a broader design space. Idea Generation: AI algorithms can suggest a wide array of possibilities based on existing designs, market trends, and user preferences. This helps to spark creativity and inspire new concepts.

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5 Reasons to Consider Migrating Your Data Estate to Microsoft Fabric

Acuvate

Specifically, recent advancements in Generative Pre-trained Transformer (GPT) and Large Language Models (LLMs) have led to an explosion in interest and adoption of AI. A recent global survey by McKinsey saw 79% of all respondents say they have exposure to generative AI in some capacity. The Azure ML-powered MLFlow model.

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The Synergy Between GPT and Microsoft Power Platform: How AI and Low-Code Development are Revolutionizing Business Operations

Acuvate

Recent advancements in Generative AI and machine learning (ML) have enthralled enterprises and consumers alike, as we recently saw with the launch of GPT-4. And now, it all gets better with the rapid evolution of Power Platform and its no-code AI-based superpowers. Let’s see how.