BI4ALL Talks

• Reponsible AI - EN

  Join us in this compelling episode of BI4ALL Talks as we dive deep into the concept of Responsible AI. This discussion, hosted by Patricia Morais and AI experts André Pedrinho and Orlando Anunciação, explores the ethical dimensions and best practices necessary to develop artificial intelligence. Learn about the principles ensuring that AI systems are ethical and practical, from fairness and privacy to transparency and accountability. Whether you’re a professional in the tech industry or simply curious about how AI impacts our world, this episode is packed with insights and examples that highlight both the potential benefits and challenges of AI in modern society. ----------------------------------------------------------------------------------- 💡Key Takeaways ✅Core Principles of Responsible AI: AI systems should adhere to fairness, privacy, transparency, and accountability to ensure ethical application. ✅Impact of AI on Society: AI has significant positive potentials, such as in healthcare, but can also have negative consequences if not managed responsibly, particularly in sensitive applications like credit scoring. ✅Regulatory Environment: Regulations like the AI Act shape how AI applications are developed by categorizing them according to risk, which has benefits and challenges for innovation. ✅Ethical Considerations in AI: Developers and companies must incorporate ethical guidelines and consider diverse societal impacts during AI system development. ✅Future of Responsible AI: As the field evolves, better tools and frameworks are needed to explain AI decisions transparently to non-specialists, promoting greater trust and understanding. ----------------------------------------------------------------------------------- ⏱Chapters 00:00 Introduction to Responsible AI 00:59 What is Responsible AI and its importance 02:24 Core principles of Responsible AI: Fairness, Privacy, Transparency, Accountability 03:55 The need for ethical AI and potentially harmful consequences 04:42 Positive and negative impacts of AI on society 07:23 Balancing model exploitation with societal needs 08:51 AI's potential in healthcare 09:34 Privacy issues with large language models 11:00 Challenges of data unlearning in AI systems 13:04 Importance of diverse data collection to avoid biases 15:39 Current regulations guiding AI ethics 17:14 The AI Act and its impact on AI development 20:53 Practical challenges and ethical guidelines in AI development 23:09 The ethical mindset needed in AI development 27:27 Future improvements and the excitement around Responsible AI ----------------------------------------------------------------------------------- Website ►► https://bi4allconsulting.com/ Instagram ►► https://www.instagram.com/bi4all/ Facebook ►► https://pt-pt.facebook.com/bi4all/ LinkedIn ►► https://pt.linkedin.com/company/bi4all TikTok ►► https://www.tiktok.com/@iambi4all -----------------------------------------------------------------------------------

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• Scaling MS Purview with Effective Data Strategy & Governance - EN

  In this insightful episode, Sandro Scordo, Head of Data Strategy and Governance at BI4ALL, and Diogo from Microsoft discuss the critical importance of data governance and how Microsoft's Purview is pivotal in enabling successful data strategies. They explore Purview's key features, including data cataloguing, critical data elements, and the introduction of data products. The conversation also highlights the challenges of adopting Purview without proper governance and offers strategies for ensuring its effective implementation in enterprises. ----------------------------------------------------------------------------------- 💡Key Takeaways ✅Microsoft Purview Overview: Purview functions as a unified data governance tool, integrating risk, compliance, and data catalog capabilities to streamline organizational data management. ✅Critical Data Elements: For successful data-driven decision-making, these essential data points within a company's ecosystem must be identified and governed. ✅Data Products: A new feature in Purview that organizes various data assets into a single product, making it easier for teams to access relevant data for specific use cases. ✅Risks of Poor Governance: Implementing Purview without a strong data governance framework leads to disorganized data catalogs and poor user adoption. ✅Collaboration is Key: Aligning IT and business stakeholders is crucial for the effective adoption of data governance tools like Purview. ----------------------------------------------------------------------------------- ⏱Chapters 00:00 Introduction to BI4ALL and Microsoft Purview 01:20 Key components of Microsoft Purview: Data catalog, business domains, and data quality 03:15 Importance of critical data elements in data governance 04:40 Overview of data products in Microsoft Purview 06:32 Why companies need Purview: Aligning AI initiatives with proper data management 09:23 Challenges in implementing Purview without a data strategy 11:12 Importance of data maturity assessments and business engagement 12:36 Continuous improvement and scaling data governance with Purview 16:42 Risks of adopting Purview without governance: Lack of structure and user adoption issues 18:52 The importance of collaboration between technical and business teams for successful implementation ----------------------------------------------------------------------------------- Website ►► https://bi4allconsulting.com/ Instagram ►► https://www.instagram.com/bi4all/ Facebook ►► https://pt-pt.facebook.com/bi4all/ LinkedIn ►► https://pt.linkedin.com/company/bi4all TikTok ►► https://www.tiktok.com/@iambi4all -----------------------------------------------------------------------------------

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  22:54
• Navigating the Power Platform Landscape - EN

  Join Jorge Daniel, a Power Platform solution expert, and Duarte Lopes, a Power Platform developer, as they discuss the transformative power of Microsoft's Power Platform. Discover how individuals from diverse backgrounds can leverage its tools for efficient solution-building, the importance of community collaboration, and the versatility of Power Apps, Power Automate, Power Pages, and Power Co-Pilot. Explore real-world examples of combining these tools to streamline business processes and enhance customer experiences. Tune in to learn why Power Platform is a game-changer for organizations looking to innovate and accelerate digital transformation. ----------------------------------------------------------------------------------- 💡Key Takeaways ✅Empowerment: Power Platform enables efficient solution-building for individuals with diverse backgrounds, reducing reliance on traditional coding methods. ✅Community Collaboration: Engaging with the Power Platform community fosters knowledge sharing and problem-solving, benefiting both individuals and the platform's growth. ✅Comprehensive Solutions: Power Platform offers a suite of versatile tools for app development, workflow automation, web development, and AI-driven assistance, enabling holistic solutions that enhance productivity and business outcomes. ----------------------------------------------------------------------------------- ⏱Chapters 00:00 - Introduction and Backgrounds 01:12 Experience with Power Platform 02:12 Comparisons with Traditional Development 03:07 Benefits of Power Platform 05:16 Challenges and Community Support 07:31 Overview of Power Apps and Power Automate 11:24 Introduction to Power Pages and Power Co-Pilot 16:12 Integration of Tools in a Project 17:43 Conclusion and Farewell ----------------------------------------------------------------------------------- Website ►► https://www.bi4all.pt/en/ Instagram ►► https://www.instagram.com/bi4all/ Facebook ►► https://pt-pt.facebook.com/bi4all/ Twitter ►► https://twitter.com/bi4all_official LinkedIn ►► https://pt.linkedin.com/company/bi4all -----------------------------------------------------------------------------------

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  20:33
• Artificial Intelligence: The Trends Shaping Tomorrow 2024 - EN

  In this insightful podcast episode, Hugo Mendes and Orlando Anunciação explore the evolving landscape of AI trends for 2024. Covering topics from the democratization of AI to Google's transformative impact, the discussion delves into ethical considerations, upskilling for the AI revolution, and the increasing demand for AI skills across industries. The emergence of augmented AI apps, diverse applications, and the role of AI in sustainability are highlighted. This episode navigates the challenges and benefits of AI-driven applications, touching on its pivotal role in healthcare, quality control, and cybersecurity. With a focus on societal impact, the episode concludes with a reflection on the unpredictability of the AI landscape, encouraging listeners to embrace AI, contribute positively, and stay informed about its dynamic evolution. ----------------------------------------------------------------------------------- 💡Key Takeaways ✅The democratization of AI extends its reach beyond technical circles, exemplified by platforms like ChatGPT, Google's playground, and Meta. This broad accessibility sparks diverse applications and solutions, highlighting AI's transformative impact. ✅Leveraging Transformers technology significantly advances AI. ChatGPT's release is a catalyst, fueling discussions and transformative progress in the field. ✅The focus is balancing AI innovation with ethics, avoiding stifling regulations, and cautioning against intrusive AI risks. ✅The link between AI democratization and the need for upskilling is emphasized. AI skills are deemed valuable for everyone, beyond technical professionals, anticipating a rising demand for these skills across diverse job roles. ✅Discussions highlighting AI's versatility, from image editing to music creation, emphasize its role in complementing tasks and promoting sustainability. Acknowledging the unpredictable nature of the AI landscape, continuous learning is encouraged, recognizing its dynamic nature. ----------------------------------------------------------------------------------- ⏱Chapters 00:00 Introduction 00:59 AI Trend: Democratization of AI 02:18 Democratization of AI Impact 04:07 AI Ethics and Regulations 06:41 AI Upskilling for the Revolution 08:34 Augmented AI Apps 10:40 Diversity in AI Applications 11:47 AI for Sustainability 13:39 Upsides of AI in Jobs and Efficiency 14:58 AI in Quality Control 16:05 AI in Healthcare 20:37 AI in Cybersecurity 23:01 AI in Robotics and Automation 27:16 Investing in AI for Humanitarian Purposes 29:15 Unpredictability in AI Landscape 30:21 Closing Remarks ----------------------------------------------------------------------------------- Website ►► https://www.bi4all.pt/en/ Instagram ►► https://www.instagram.com/bi4all/ Facebook ►► https://pt-pt.facebook.com/bi4all/ Twitter ►► https://twitter.com/bi4all_official LinkedIn ►► https://pt.linkedin.com/company/bi4all -----------------------------------------------------------------------------------

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  31:00
• Sustainability and AI - EN

  Join us in the latest episode of BI4ALL Talks as we dive into the intersection of Sustainability and AI. Our esteemed guests, Mauricio de Sousa, Co-Founder & CEO at Rewion, and Yannick Hirt, Manager of Sustainable IT and IT-Security at Rewion, shed light on the critical connections between technology and environmental responsibility. Join us as we explore the future of tech, its relationship with environmental well-being, and the role AI plays in driving sustainability. Tune in to gain a deeper understanding of the challenges and opportunities that lie ahead in this rapidly evolving landscape. ----------------------------------------------------------------------------------- 💡Key Takeaways ✅Environmental Impact: Tech activities contribute to carbon footprints. Energy use by digital services and data centres raises ecological concerns, highlighting the need for assessing tech's sustainability. ✅AI for Sustainability: AI addresses sustainability, aiding climate modelling and decision-making. Data processing enhances the positive environmental impact. ✅Tech's Responsibility: Tech companies promote sustainability with eco-friendly options. Potential regulations might ensure genuine environmental commitment. ✅Data-Driven Reporting: Dashboards aid sustainability reporting. Clear standards are essential for comprehensive measurement driven by incentives and responsibility. ✅Challenges in AI Sustainability: Carbon footprint, transparency, biases, and ethics complicate AI's sustainable adoption. ✅Education and Integration: Bridging the tech-non-tech gap is crucial. Education and awareness drive sustainable AI adoption. ✅Implications Matter: Entrepreneurs must consider ethics, environment, and regulations in AI use. ✅Collaboration and Responsibility: Transparency and collaboration drive ethical, sustainable AI practices. ----------------------------------------------------------------------------------- ⏱Timestamps 01:12 Introduction of the guest speakers 04:15 Getting to know AI and Sustainability 11:38 AI contribution to sustainability: current applications 13:50 AI reportings and dashboards 18:24 Challenges in achieving sustainability in AI 22:08 Ethical and social aspect – is AI really available for everyone? 25:10 Interpretation of data &AI integration in companies ----------------------------------------------------------------------------------- Website ►► https://www.bi4all.pt/en/ Instagram ►► https://www.instagram.com/bi4all/ Facebook ►► https://pt-pt.facebook.com/bi4all/ Twitter ►► https://twitter.com/bi4all_official LinkedIn ►► https://pt.linkedin.com/company/bi4all --------------------------------------------------------------------------------

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  47:16

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