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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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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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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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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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Saknas det avsnitt?
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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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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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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/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/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.
-----------------------------------------------------------------------------------💡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.
-----------------------------------------------------------------------------------⏱Chapters00:00 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/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/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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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 thegeneral 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/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/bi4all
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In this episode, marketing expert German Ramirez joins us to discuss the relationship between marketing and data. He highlights the issue of collecting irrelevant data and how AI can help. Ramirez also discusses the future of marketing in an AI-driven world and provides valuable insights into data collection and strategy.
Listen to learn more about the role of AI in marketing creativity.-----------------------------------------------------------------------------------
💡Key Takeaways
✅Marketing and data: marketers collect data without considering its relevance.✅Data's value depends on its relevance to a business or industry.✅Over-reliance on data neglects emotional connections and creativity; AI can help.✅AI is useful for content creation but not genuine creativity.
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⏱Chapters
01:24 Introduction of the guest speaker: Who is German Ramirez?
03:10 The broken relationship between marketing and data
06:25 Data as today’s new oil. What speaks against collecting data?
09:30 Approach for marketers to deal with the problem
14:02 The effect of AI: problem solver or fuel to the fire?
17:55 AI in marketing: creativity killer or supporter
23:47 Marketing, people, and data evolving in the future
26:31 The key to successful marketing in an AI-driven future
27:51 Final inputs and insights: successful data collection and strategy
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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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Join Joana Dias, Senior Consultant at BI4ALL, and Jorge Pessoa, Senior Consultant at BI4ALL, as they explore the world of Power BI, discussing its evolution, updates, and abilities to handle large amounts of data.
Discover best practices, collaborative features, and integrations with Excel and Power Platform tools.
Learn how to leverage Power BI Report Builder to create dynamic reports and elevate your analytics game.
Join them on this journey to master Power BI and unlock the full potential of your analytics game!
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💡Key Takeaways
✅Power BI is a constantly evolving data visualization tool with monthly updates and new features since its 2015 release.
✅Power BI is similar to Excel in interface and formulas, making it easier for Excel users to learn and use.
✅While Power BI can handle large data sets, complex transformations should be cautiously approached as it is not an ETL tool.
✅Power BI offers rich online documentation and a community for learning and troubleshooting.
✅Tabular Editor helps create calculation groups and merge data between Power BI files.
✅Power BI Online is a cloud-based collaboration and report-sharing service within organizations.
✅Power BI's new "audiences" feature allows better data segregation within workspaces and apps.
✅Power BI integrates well with other Microsoft tools like Excel and PowerPoint.
✅Power BI is part of the Power Platform, which includes Power Automate and PowerApps.
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⏱Chapters
00:00 Introduction
01:01 Evolution of Power BI
01:42 Power BI updates and Excel similarities
03:19 Power BI learning curve vs Excel
04:29 Power BI's data handling capabilities
07:04 Power BI best practices
15:28 Online documentation for Power BI
16:02 External tools for Power BI desktop support
17:47 Batch copy and paste with Tabular Editor
19:27 Power BI online and workspaces for collaboration
23:13 Creating audiences in Power BI
24:14 Power BI workspace management complexity
25:25 Integration with Excel and PowerPoint
27:05 Power Platform tools (Power Automate, Power Apps, Power Virtualizations)
28:43 Power BI Report Builder
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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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In this episode, the guest speaker is Mimi Zou an expert in the field of artificial intelligence (AI) and its application in customer services.
Throughout our conversation, we talked about the growing use case for AI in customer services, particularly in problem-solving related to compliance and issue prevention.
We also explored the various applications of chatbots in customer service, including their limitations and developments.
During this episode, we also highlighted the gaps in AI that still need to be addressed, including missing elements and the timeline for community adoption.
We also discussed the future of customer service jobs, considering whether they are threatened or supported by AI.
And we end the episode with final inputs and insights regarding AI's other impacts and expectations on customer services.
02:35 Introduction of the guest speaker: Who is Mimi Zou?
04:25 The growing use case for AI in customer services
06:36 Problem-solving with AI: compliance & issue prevention
10:06 Chatbots: applications, limitations and developments
13:05 Business cases and examples for customer services
17:32 AI gaps: missing elements and community adoption timeline
21:42 The future of customer service jobs: threatened or supported by AI?
24:46 Final inputs and insights: further impacts and expectations
Join us to learn more.
➡️This episode is spoken in English
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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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In this podcast episode, the guest speaker is Mohan Subramaniam, who discusses his book "The Future of Competitive Strategy."
He talks about the latest developments in data for legacy firms and the differences between product strategy and data strategy.
He also shares insights on how legacy firms can apply digital ecosystems to their businesses and provides examples of best practices from Swiss companies that have successfully implemented data strategies.
Finally, he gives his final inputs and insights on the topic of digital myopia and the potential traps that legacy firms may face as they navigate the digital landscape.
01:44 Introduction of the guest speaker: Who is Mohan Subramaniam?
02:47 The book: The Future of Competitive Strategy
05:09 Latest developments about data for legacy firms
12:03 Product strategy vs data strategy: insights for legacy firms
13:58 Digital ecosystems and their application to legacy firms
21:09 Best practices: Swiss companies implementing data
27:10 Final Inputs and insights: digital myopia and traps
Join us to learn more.
➡️This episode is spoken in English
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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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In this episode, we discuss the importance of customer experience and how it can drive business success. We'll start by defining what customer experience is and how it differs from customer service.
From there, we'll delve into the various components of a positive customer experience, including ease of use, personalization, and emotional connection.
We'll also discuss the impact of technology on customer experience and the ways in which companies can leverage digital tools to enhance the customer journey.
We'll explore the importance of data and analytics in understanding customer behaviour and preferences, and discuss the ways in which companies can use this information to improve customer engagement and drive loyalty.
➡️This episode is spoken in Portuguese
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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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In this episode, we take a closer look at the life cycle of an AI project and explore the key stages, challenges, and pitfalls to watch out for.
We'll start by discussing the different phases of an AI project, including ideation, prototyping, development, deployment, and maintenance. From there, we'll delve into the main challenges that companies face when implementing AI, including data availability and quality, model selection, and ethical considerations.
We'll also discuss the advantages that companies gain by adopting AI, such as increased efficiency, improved decision-making, and the ability to uncover new insights.
And we will also discuss the best ways for companies to start bringing value derived from AI, such as starting with a small pilot project, identifying the right use cases, and building a strong team with the right skills.
➡️This episode is spoken in Portuguese
#BI4ALLTALKS #Podcast #ArtificialInteligence #AI
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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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In this episode, we discuss the nearshore delivery model and how it can be used to effectively deliver software development projects.
We'll start by defining what nearshore delivery is and how it differs from traditional offshore delivery models.
From there, we'll delve into the specific benefits of nearshore delivery, such as increased communication and collaboration, reduced time zone differences, and improved cultural alignment. We'll also discuss the key factors to consider when choosing a nearshore delivery partner, including location, language, and technical expertise
At BI4ALL we've been using this model to partner with our customers for more than 10 years.
Join us to learn more.
➡️This episode is spoken in English
#BI4ALLTALKS #Podcast #Nearshore
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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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In this episode of BI4ALL Talks we will address some themes like software delivery practices, continuous quality validation and monitoring. We will talk a bit about your experiences and challenges in these two realities, which have so much in common.
What is DevOps?
It is the alignment of tools, responsibilities and processes of the development team (Dev), with those of the operations team (Ops).
How important is DevOps for companies?
By promoting a culture of collaboration and encouraging teamwork, DevOps improves employee engagement and significantly increases the speed at which applications are developed and performance issues are resolved.
➡️This episode is spoken in Portuguese
#BI4ALLTALKS #Podcast #DevOps
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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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In this episode, we dive into the world of cloud computing and explore the key concepts and different types of clouds available.
We'll start by discussing the basics of cloud computing and the differences between on-premise and cloud solutions.
From there, we'll delve into the various types of clouds and discuss the benefits and drawbacks of each. We'll also touch on the concept of multi-cloud and how it can be used to optimize performance and minimize risk.
Whether you're a seasoned IT professional or just getting started with cloud computing, this episode will provide valuable insights and practical tips to help you navigate the ever-evolving world of the cloud.
Tune in to learn more about how cloud computing can transform the way you do business.
➡️This episode is spoken in Portuguese
#BI4ALLTALKS #Podcast #Cloud
