BI4ALL Talks BI4ALL

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.



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💡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.



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⏱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



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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.



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💡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.



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⏱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



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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.



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💡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.



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⏱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



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In this episode, we discuss the increasing need for technology solutions in fiscal consolidation due to globalization and the challenges of managing multiple currencies and subsidiaries in different countries.



We explore how technology solutions can provide transparency, control, and data quality, making consolidation more efficient and reducing errors.



Additionally, we delve into the broader scope of action beyond consolidation that technology solutions can provide, such as process optimization and externalization of data for easy management.



We also emphasize the importance of reporting flexibility and client teamwork to implement a reporting system that can lead to process improvement and rethinking.



Finally, we balance the caution of time with the need for connectivity to other reporting systems and tools, such as Excel, and discuss creating self-sufficient data sources and ensuring data quality to make reports readily available and valuable.



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💡Key Takeaways

✅Tech solutions aid fiscal consolidation in a global economy

✅Tech solutions enhance the consolidation process with transparency and control

✅Beyond consolidation: Optimization through tech solutions

✅Reporting flexibility enables multidimensional analysis and custom reports

✅Collaborative reporting improves processes and yields better outcomes

✅Balance caution and connectivity in reporting

✅Self-sufficient data sources ensure useful reports.



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⏱Timestamps

00:00 Introduction

00:41 Foreseeing the Evolution of Fiscal Consolidation

02:21 Importance of Technology in Fiscal Consolidation

03:54 Streamlining the Process and Emphasizing Business Analysis

05:14 Limitations of Manual Processes

07:08 Advantages of Looking at Solutions

07:54 Importance of using Excel wisely, connecting to source systems, and maintaining balance.

09:15 Flexibility, system maintenance, partnership with clients.

10:40 Creation of independence, flexibility, empowerment, phone support.

12:06 Management information, financial data, ratios, disclosure reporting, financial planning.

13:24 "What if" scenarios, forecasting figures, impact on groups.

14:50 Immediate added value, key bullets.

15:34 Easy comparison between periods, multidimensional analysis.

16:20 Flexibility of reporting, readability.

16:58 Teamwork with clients, process improvement.

17:41 Time caution, reporting connectivity, data quality.

18:56 Excel data sources, reporting system connectivity, self-sufficient analysis.



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Website ►► https://www.bi4all.pt/en/

Instagram ►► https://www.instagram.com/bi4all/

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In this episode, André Santana, Business Development Lead at BI4ALL, and Sandra Mateus, Health Lead at Microsoft, explore how AI is transforming healthcare. Discover how it automates tasks, improves diagnostics, and enhances patient care.



We discuss the integration of healthcare software with productivity technology and the role of data in advancing AI systems.



Witness the potential of remote patient monitoring and personalized care. Join us as we uncover the immense potential of AI in healthcare transformation.




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💡Key Takeaways

✅AI revolutionizes healthcare by transforming patient management, diagnostics, and doctor-patient relationships. It empowers healthcare professionals through task automation and streamlined processes.


✅AI enhances diagnostics, enabling faster and more accurate diagnoses, predicting and preventing health crises, and supporting early interventions.


✅ Integrating healthcare software with productivity technology, like Microsoft Teams, enables seamless collaboration and faster decision-making among healthcare professionals.


✅Data generated through Microsoft's efforts in healthcare fuels advancements in AI systems, improving predictions and healthcare outcomes.


✅Technology enables remote patient monitoring and personalized care, reducing hospital stays and enhancing chronic condition management.


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⏱Chapters

00:00 Introduction: Healthcare transformation through AI.

01:42 Empowering healthcare professionals through technology.

02:17 Four pillars of healthcare transformation in Microsoft.

03:00 Popularity and role of healthcare chatbots.

04:53 AI's role in empowering doctors, not replacing them.

06:08 AI's benefits in generating accurate medical records.

07:21 AI's role in standardizing healthcare pathways.

08:31 AI empowering patients and improving communication.

09:48 AI's impact on diagnostics and medical imaging.

13:08 AI's impact on earlier detection and treatment.

15:12 Remote monitoring and personalized care.

18:11 Technology reducing stress and enhancing care.

20:51 Technology's impact on healthcare outcomes.

21:29 AI optimizing hospital productivity.

22:13 Collaboration for process optimization.

24:07 Importance of real-time communication platform.

25:21 AI's potential in optimizing healthcare processes.

25:59 Automation in supply chain management.

26:33 Adopting technology-driven solutions in healthcare.

27:10 Healthcare as an investment in technology.

27:44 Responsible AI and transparency.

29:41 Encouraging informed judgments.

32:02 AI's role in healthcare activities.



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Website ►► https://www.bi4all.pt/en/

Instagram ►► https://www.instagram.com/bi4all/

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This episode of our BI4ALL TALKS podcast is about AI and ethics. Our host Branca Petrovic, Country Manager at BI4ALL Switzerland, interviews expert Dr Dorothea Baur, an independent consultant, author, speaker and lecturer on ethics, responsibility and sustainability, focusing on technology and finance.



Together, dive into the world of AI and discuss the importance of ethics. Ms. Baur shares with us her insights on ethical concerns surrounding the development and use of AI, how prejudice and discrimination arise from AI, and how these ethical concerns can be addressed by developers, policymakers and the general public. Also, together they jump into the potential consequences of ethical concerns failing to be effectively addressed.



Listen now to learn more about AI and ethics from a business and individual perspective.

 

➡️ This episode is spoken in German.





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💡Key Takeaways


✅The study of moral principles and values guiding the development and use of AI due to its societal impact.


✅Fairness, bias, discrimination, transparency, autonomy, privacy, and responsibility issues arising from AI development and usage.


✅Ethics training for developers, regulations by policymakers, and public awareness to ensure responsible AI development and use.


✅AI systems can perpetuate discriminatory outcomes through biased training data and proxy variables reinforcing societal inequalities.


✅Challenges developing unbiased AI, philosophical questions on truth representation, promoting literacy, and implementing human rights and safety principles for responsible AI development and use.


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⏱Chapters

01:27 Introducing the guest speaker: Who is Dorothea Baur?

02:24 AI significance and relationship to Ethics

04:40 Impact of AI on society

05:52 Ethical concerns related to the development and use of AI

07:27 Dealing with ethical concerns: prospects for developers, policymakers and the
general public

08:52 Consequences of not addressing ethical concerns

10:43 AI biases and examples: Moral concerns

12:53 Unbiased Ethical AI systems: possible or impossible?

14:29 Ethical principles that should guide the development and use of AI in the future.

16:31 Polemics and dilemmas around AI: problem solver or creator?

19:07 AI and ethics: a collaborative project that concerns everyone.



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Website ►► https://www.bi4all.pt/en/

Instagram ►► https://www.instagram.com/bi4all/

Facebook ►► https://pt-pt.facebook.com/bi4all/

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