D4 Data Podcast

How can nature help us slow down and reconnect with ourselves?In this episode, I talk with Anca Beleiu, a forest bathing guide from Romania, about her journey of leaving the corporate world and discovering the healing power of nature. She explains the practice of forest bathing, the wisdom of seasonal cycles, and simple daily habits we can adopt to bring more presence into our lives, even in busy cities.A heartfelt and inspiring conversation for anyone searching for balance, stillness, and a deeper connection with the natural world.Anca's website: https://www.ancabeleiu.com/

Join us for an enlightening conversation with leadership expert Kasia Gurgul as we explore the critical intersections of artificial intelligence, effective leadership, and talent development in today’s fast-paced world. In this episode, we discuss how AI can enhance human performance, the essential traits leaders need to navigate uncertainty, and strategies for balancing employee engagement with a return on investment in skill development. Kasia also shares valuable insights on the coaching skills leaders must cultivate to help their teams adapt to change and addresses concerns around job displacement in the evolving workforce. Tune in for practical advice and thought-provoking discussions that can empower you to thrive in the age of innovation and transformation! About Kasia Gurgul: Kasia is the founder of Mindquest Global Leadership Development, equipping tech executives and managers with the mindsets & skills to turn talent into results, avoid tunnel vision, and navigate the constantly changing business landscape by creating a coaching culture.  Over the past 10 years, Kasia has worked closely with leaders around the world at growth-stage start-ups & global organizations, including Amazon, Cisco, LinkedIn, Salesforce & Visa. In 2022, she was listed in the Top 15 Coaches in Victoria, Canada, despite her focus on international work

In this episode, I had an interesting conversation with Supreet Kaur about the fascinating world of data products and their growing significance in today's technological landscape. We explored what defines a data product and discussed how organizations can leverage these powerful tools to gain a competitive edge. Supreet broke down the key factors that make data products effective and examined their impact on traditional data management and governance practices. We highlighted real-world examples of successful data products that have revolutionized industries and businesses, showcasing their transformative power. We also delved into the challenges and considerations involved in developing and monetizing data products. Supreet shared valuable insights on overcoming these hurdles, ensuring organizations can successfully harness the potential of data products. Our discussion covered the integration of data products into the AI lifecycle, from data acquisition and preprocessing to model development and deployment. Supreet explained how these products can streamline and enhance the entire AI process. We also tackled the ethical implications of data products, addressing concerns around privacy, security, and biases. Supreet offered strategies for ensuring responsible and ethical use of data products while maximizing their value and impact. Finally, we looked ahead to emerging trends and future prospects for data products, exploring how they will shape the AI landscape in the coming years. This episode is packed with expert perspectives and actionable takeaways. Tune in to gain a comprehensive understanding of data products and their pivotal role in driving technological innovation and business success!

Join data science expert Vanessa Pizante in this enlightening podcast as she takes you on a journey through the world of data-driven insights. With over four years of experience, Vanessa, a key member of the Sobeys team, provides a unique perspective on how measurement and experimentation can revolutionize decision-making and drive business success. Discover the art of crafting scalable measurement frameworks that keep businesses agile in a rapidly changing market. Delve into the intricacies of Bayesian methods and their application in building effective measurement strategies. Tune in to explore the challenges and considerations of developing robust measurement frameworks and gain actionable insights into leveraging data for strategic growth.

Join us in this captivating episode of the D4 Data Podcast as we embark on a journey into the future of AI and its potential to shape a more sustainable world. Our esteemed guest, Alice Schmidt, a renowned global sustainability advisor and business consultant, offers invaluable insights gathered over 25 years at the forefront of social, environmental, and economic affairs. In this thought-provoking discussion, we explore the boundless possibilities of AI in tackling global challenges and driving positive change. Alice's experience working with diverse organizations, including UN agencies, the World Bank, and the European Commission, lends a unique perspective to the conversation. Delving into her latest book, "Fast Forward: How to Harness the Potential of AI for a Better Future" (co-authored with Claudia Winkler), Alice reveals how AI can be harnessed as a powerful tool for creating sustainable and prosperous communities worldwide. From systems thinking and circularity to climate action and social transformation, we unpack various aspects of sustainable business and its intersection with AI. Our audience gains invaluable insights into how AI can catalyze positive impact across industries and regions. Tune in to this enlightening episode as we discover the transformative role AI can play in building a brighter future for all. Whether you're an AI enthusiast, a sustainability advocate, or simply curious about the possibilities of technology in shaping a better world, this podcast is a must-listen. See more at https://www.aliceschmidt.at/ and https://www.linkedin.com/in/aliceschmidt/, also check out http://www.sustainability-puzzle.org, Latest book published by Alice: https://www.sustainability-puzzle.org/fast-forward.html

In this inspiring episode, we sit down with Garrett Gerson, the innovative founder and CEO of VARIANT3D, a disruptive technology platform shaping the future of textiles through 3D knitting. Join us as we delve into the world of sustainable textile manufacturing and explore how VARIANT3D is leading the charge in creating a more sustainable, transparent, and innovative industry. Garrett takes us on a journey, sharing the origin story of VARIANT3D and how the idea of using 3D knitting to revolutionize textiles came to fruition. Discover the unique aspects that set VARIANT3D apart from traditional manufacturers and how their patented technology enables the 3D knitting of finished soft goods with near-zero waste. We dive deep into VARIANT3D's digital twin LOOP design software, understanding how it empowers on-demand production and customization of textiles, while drastically reducing production time. Garrett also sheds light on the company's focus on education, driving down factory costs, and promoting the widespread adoption of their cutting-edge technology. As a member of the Innovation Board for Peter Diamandis's XPrize Foundation, Garrett shares his passion for nurturing businesses that develop industry-changing technologies. We explore the role of technology in creating a better, safer, and more sustainable world and how VARIANT3D's vision aligns with this mission. Join us for this thought-provoking episode as we unravel the future of textile manufacturing and discover how VARIANT3D is paving the way for a more sustainable and innovative industry. https://variant3d.io/

Join us for an enlightening episode as we sit down with Sophia Yang, a Senior Data Scientist and Developer Advocate at Anaconda. Sophia's passion for data science and Python open-source communities shines through her numerous contributions and active involvement in the field. In this episode, we explore Sophia's journey and delve into her invaluable insights on open-source development, community building, and the latest advancements in data science. Sophia's expertise is unmatched as an esteemed author of popular Python libraries such as condastats, cranlogs, PyPowerUp, intake-stripe, and intake-salesforce. We discuss the significance of these libraries and how they have empowered developers and data scientists worldwide. Sophia also shares her experiences serving on the steering committee of the Python open-source visualization system, HoloViz, and her volunteer work at prestigious conferences like NumFOCUS, PyData, and SciPy. Throughout the conversation, Sophia draws upon her academic background in Computer Science, Statistics, and Educational Psychology from The University of Texas at Austin. Her unique perspective and deep understanding of the industry shed light on the challenges and opportunities within the data science landscape. Whether you're a seasoned data scientist, a Python enthusiast, or simply curious about the world of open-source development, this episode is a must-listen. Join us as we gain inspiration and valuable insights from Sophia Yang's remarkable journey and commitment to empowering the data science community. Follow Sophia at: youtube: youtube.com/SophiaYangDS twitter: twitter.com/sophiamyang, github: dsbookclub.github.io

Welcome to this special episode of the Sustainable Fashion Podcast with Sarah Garner! In today's discussion, we delve deep into circular fashion and the inspiring story behind Retykle, Asia's first and largest resale platform for pre-loved children's fashion. Join us as Sarah takes us on a journey through her mission to make fashion more sustainable while addressing the challenge of what to do with outgrown clothes. Learn about the environmental impact of the fashion industry and how Retykle is pioneering a solution that benefits both the planet's and parents' budgets. Read more about Retykle: https://retykle.com/ In this episode, Sarah shares her insights into building a successful circular fashion platform, the importance of conscious consumption, and the role of individuals in creating a more sustainable future. Discover how Retykle is reshaping the fashion landscape by offering over 2,000 designer brands at 50 to 90 percent off the original retail price, making sustainable fashion accessible and affordable for all. If you're passionate about sustainability, interested in the circular economy, or simply curious about innovative solutions within the fashion industry, this episode is not to be missed. Join us as we uncover the transformative power of Retykle and explore how you can contribute to a greener and more conscious world through your fashion choices. Tune in to be inspired, educated, and empowered to make a difference in the fashion industry and beyond.

In this episode, Ravit Dotan, an expert in AI ethics and responsible AI governance, shares her insights on the crucial topic of ensuring that AI ethics implementation is grounded in genuine moral principles that respect all stakeholders. We discuss the need for a comprehensive and coherent framework of ethical guidelines, guidance for AI developers and users, fundamental challenges of bias, discrimination, and inequality in AI decision-making, implications of AI ethics for different domains, transparency, and accountability, and fostering a culture of ethical awareness and responsibility. Join us for this insightful conversation on AI ethics and responsible AI governance. Ravit Dotan is an accomplished AI researcher, advocate for responsible AI governance, and creator of tech ethics content. She is the Co-Founder and Director of the Collaborative AI Responsibility (CAIR) Lab at the University of Pittsburgh, where she leads research on responsible AI governance, and is also a Responsible AI advocate at Bria.ai, a generative AI startup. Ravit's work has been featured in publications such as the New York Times and TechCrunch, and she was recognized as one of the 100 Brilliant Women in AI ethics 2023 by Women in AI Ethics. She received a 2022 "Distinguished Paper" Award from FAccT, the top AI ethics conference, and earned a Ph.D. in Philosophy from UC Berkeley. Read more about Ravit: https://www.ravitdotan.com/

In this episode, we sit down with Marisa Tschopp, an expert in the intersection of technology and human psychology. Marisa takes us on a journey through the fascinating and complex relationship between humans and artificial intelligence. We explore the concept of anthropomorphism and how it shapes our perceptions of AI, as well as the role of computers as social actors and how it affects trust in AI. Marisa shares her insights on the rise of voice assistants like Amazon's Alexa and Apple's Siri, and the potential for addiction to chatbots like Replika AI and Xiaoice. Join us as we delve into the ethical considerations surrounding the use of AI in our daily lives and the impact it has on our society. If you're interested in the latest developments in technology and artificial intelligence, this episode is a must-listen. Marisa Tschopp Marisa Tschopp is a researcher at scip AG, Ambassador and Chief Research Officer at Women in AI NPO, and Co-Chair of the IEEE Trust and Agency in AI Systems committee. She researches AI from a psychological perspective, addressing a variety of questions about psychological phenomena with a particular interest in ethical implications. Her research focuses on trust, performance measurement of conversational AI (A-IQ), agency, leadership, and issues of gender equality in AI. As an organizational psychologist, she has experience in social and educational settings with a particular passion for digital teaching and learning trends. She has studied and taught at various universities in Germany, Canada and Switzerland. She has published various media articles, book chapters and essays and is a frequent speaker at conferences and events (including TEDx) worldwide.

In this episode, we sit with Brooke Joseph, a 17-year-old innovator and aspiring artificial intelligence expert. We discuss the intersection of Gen Z and technology and how Brooke has found her passion for AI and Federated Learning. We delve into how technology affects how Gen Z interacts with and understands technology and the role of education and training in meeting the needs of the next generation of tech innovators. We also explore the potential impact of Gen Z's diverse perspectives and experiences on the technology industry's future, as well as how the social and political climate shapes the industry and its opportunities. Join us for an engaging conversation on the future of technology with a rising star in the field. Read more about Brooke https://tks.life/profile/brooke.joseph#about

In this episode of the D4 Data Podcast, we welcome Sandra Binninger, a digital transformation and society enthusiast with a background in law and experience working in the Estonian Ministry of Justice. Sandra discusses the complex topic of digital transformation in the public sector, exploring the challenges and opportunities of implementing technology-driven initiatives. With a focus on the mindset and culture required to drive successful transformational change, Sandra shares her insights and experiences, drawing on her work in both Estonia and Germany. This thought-provoking conversation explores the multifaceted aspects of digital transformation, including innovation, policy, citizen experience, and the importance of digital skills development. Tune in to discover how digital transformation is shaping the future of society and the public sector. Sandra Binninger is a digital transformation and society enthusiast with a passion for challenging the status quo and supporting the digital transformation process. As a self-described digital native and e-Estonian, Sandra has a deep understanding of the multifaceted aspects of digital transformation, including the crucial role of mindset and culture. With a master's degree in law and years of experience as an advisor in the Estonian Ministry of Justice, Sandra brings a wealth of knowledge and expertise to the table. Currently working as a senior consultant at Westernacher Solutions GmbH, a German software company, Sandra is dedicated to driving transformational change and helping organizations navigate the challenges and opportunities of the digital age.

In this episode, we speak with Brent Halonen, a Manufacturing AI visionary, co-founder, and director of AI at Steelhead Technologies. Brent shares his insights on the role of AI scheduling in job shop manufacturing and its impact on optimizing production processes and maximizing efficiency. He shares his extensive experience working with job shop manufacturers and how Steelhead is introducing cutting-edge solutions well-suited to the fast-paced environment of production floors. Join us as we discuss the benefits of AI scheduling, successful implementations, potential risks and limitations, and how job shop manufacturers can effectively adopt and integrate this technology into their operations. Read more about Steelhead Technologies: https://gosteelhead.com/ Brent Halonen is a Manufacturing AI visionary and Co-Founder and Director of AI at Steelhead Technologies. He uses his extensive experience working on industrial shop floors to engineer cutting-edge solutions that are well-suited to the fast-paced environment of production floors. Under his leadership, Steelhead is introducing AI scheduling to job shop manufacturers, an industry that has been overlooked until now.

In this podcast, I sit with Pernille Bülow to explore the intersection of digital technology and mental health. We discuss the impact of smartphones and wearables in preventing and treating mental illness, as well as the potential of biosensors in the prevention and treatment of mental health conditions. As with any technology, ethical considerations are important to explore, and we delve into some of the key issues surrounding using digital tools for mental health. We also discuss the accessibility and affordability of these technologies and compare their effectiveness with traditional methods. Of course, no technology is without potential downsides or risks, and we examine some of the challenges and limitations of digital mental health solutions. We also talk about integrating these technologies with existing mental health systems and how to stay up to date with the latest trends in this rapidly evolving field. We touch on the role of mental health professionals and peer support networks in the adoption and use of these digital tools, and Pernille shares her own journey and experience as a digital health expert. Finally, we discuss some of the mental health tools companies offer their employees and the potential benefits and drawbacks of these programs. Tune in for an insightful and informative conversation on the future of digital technology and mental health. Pernille Bülow, PhD, is an expert on mental health and illness, with over 10 years of research experience. She is currently a writer for Psychology Today and publishes a regular newsletter on the neuroscience of mental health  Pernille serves as a consultant, advisor and board member for companies whose missions are to combat mental illness and cognitive challenges. She works for the software company iMotions as a consultant and tech expert on biosensor research.   Pernille holds a Bachelor's degree from the University of Copenhagen and UC Berkeley in Psychology, a PhD in Neuroscience from Emory University and worked as a Postdoctoral Fellow at Harvard Medical School/Massachusetts General Hospital. Her research focused on brain development, early life experiences and nature vs. nurture using animal models. Read more about Pernille: https://pernillebuelow.com/ https://www.psychologytoday.com/us/contributors/pernille-bulow-phd# https://www.subkit.com/pernillebuelow

In this episode, I had the pleasure of speaking with Teegan Bartos, an award-winning resume writer and certified career coach. We delved into thought leadership and explored its importance in today's competitive job market. Teegan shared valuable insights and practical tips on identifying areas of expertise, building a personal brand, and strategies for building a successful thought leadership brand. We also discussed common pitfalls to avoid, ways to leverage thought leadership to open up new career opportunities, and to balance the need to be authentic and transparent. Additionally, we talked about handling criticism, drawing lines between sharing insights and ideas, and the role of social media in building a thought leadership brand. Teegan also touched on the challenge of creating a thought leadership brand, means of communication, measuring success, and dealing with the fear of failure or rejection. Tune in now to gain valuable insights and practical tips on building a thought leadership brand, and taking your career to the next level. Teegan Bartos is an award-winning resume writer and certified career coach. She serves as a Job Search and Careers subject matter expert for The National Resume Writers Association, Forbes, Jobscan, and LinkedIn which led to her "Top Career Expert to Follow" recognition on LinkedIn.   Teegan has served over 3,500 ambitious professionals throughout her career as a former recruiter, workforce development leader for the Department of Labor, and in her current role as Managing Director of Jolt Your Career.    Read more about Teegan: https://www.linkedin.com/in/teeganbartos/ Teegan's website: https://www.joltyourcareer.today/

In this episode, we dive into the topic of ChatGPT and the future of the legal profession. Join us as we explore the impact of this large language model on the field of law and the ways in which it is being used for document generation, legal research, and decision-making. We also examine the ethical and moral considerations, as well as the potential biases and limitations of using ChatGPT in the legal field. Finally, we discuss the future of the legal profession in light of ChatGPT and other AI advancements, and how legal professionals can adapt and evolve to remain relevant in this rapidly changing field. Tune in for a thought-provoking and informative discussion on the relationship between ChatGPT and the legal profession. Susann Funke is a lawyer and an entrepreneur at heart. Susann has been involved in a number of business foundation processes during her consultancy times in addition to practicing energy law for almost 15 years. Prior to co-founding LEX AI, Susann’s legal practice was focused on consultancy on energy law along the corporate/commercial. During her time as a lawyer, she was deeply involved in regulatory topics meaning that companies found themselves confronted with new or updated regulations not knowing what the impact on them is not only from a regulatory perspective but also from a process and business development perspective. Read more about Lex AI: https://lexai.co/en

In this episode of the D4 Data Podcast, we sit down with Sally Giblin, a leader in the climate action movement. Listen as we discuss the importance of approaching climate action with a sense of "stubborn optimism," the power of "What if" thinking for a better future, and the need for shared responsibility and collaboration across generations. We also delve into the political and economic barriers to implementing sustainable solutions at scale, the impact of climate change on marginalized communities, and ways to communicate the urgency of the climate crisis to the young generation. Sally also shares examples of community-based solutions and her thoughts on intergenerational change and overcoming barriers. Additionally, she shares her inspiration and aspirations and discusses her podcast Hope Act Thrive. Tune in for an enlightening and inspiring discussion on taking action to combat climate change. Sally Giblin is an award-winning founder, podcast co-host, environmentalist, writer, and parent. Her purpose is to unleash the power of families to rewrite our climate story. Sally is a Co-Founder of Be The Future, which is a creating educational multimedia for children that inspires families to take environmental action using humour, surprise and hope. She's also a Co-Host of the Hope. Act. Thrive. Podcast, where she has bite-size conversations with leading climate thinkers, doers and shakers. Sally also writes and speaks about climate change and raising nature-loving children, for publications such as Pebble Magazine, Peppermint Magazine, The Grace Tales, Happy Eco News, Thrive, and Climate Conscious. Sally is a Greenpeace Australia Pacific General Assembly Member, an Australian Parents for Climate Action spokesperson, and a Climate Reality Leader. She’s also a startup mentor for Founder Institute, the world's largest early-stage accelerator. She’s been at the forefront of many social impact initiatives over the years, with organizations such as Young UN Women and Social Good Summit.

Join us in this episode of the D4 Data Podcast as we delve into the topic of "Grounded Language Understanding" with guest speaker Tamara Atanasoska. Tamara, a researcher in the field of natural language processing and cognitive science, shares her knowledge on the basics of grounded language learning, the cognitive and linguistic foundations for NLP tools, and the challenges in textual analysis. She also delves into the methodology behind embodied AI and her research on multimodal dialogue in game settings.  Tamara also discusses the challenges in data preparation, the differences between research and industrial sectors, code reproducibility, and scalability in terms of domain-centric requirements. Furthermore, she covers the current research landscape, ethics, and fairness in NLP research, and the importance of embedding cognitive science techniques and linguistics. Don't forget to check out Tamara's blog for more information and her aspirations for the future of NLP research. Tune in now! Tamara's Blog: https://www.holophrase.de/ Tamara has been working for over 10 years in civic-tech and music-tech as a software engineer and developer relations. After dreaming about it for a long time, she has recently shifted to the intersection of (natural) language and technology. Tamara is doing NLP research as part of the Cognitive Systems Masters at the University of Potsdam and plans to continue to do academic research after finishing the program soon. References  Stanford course on NLU(grounding basics video): https://www.youtube.com/watch?v=7b2_3dDTKMc Embodied AI simulator: https://aihabitat.org/ Creating NLP datasets panel: https://www.youtube.com/watch?v=CFQz03C2Pq8 ACL year round mentorship program: https://mentorship.aclweb.org/ Blog about making older code bases more usable: https://www.holophrase.de/blog/running-modernising-and-optimising-research-code Explainability course: https://www.youtube.com/playlist?list=PLoROMvodv4rPh6wa6PGcHH6vMG9sEIPxL Papers  Tamara mention explicitly or implicitly: https://aclanthology.org/2020.emnlp-main.703.pdf  https://arxiv.org/pdf/2104.06644.pdf  https://arxiv.org/pdf/1908.11279.pdf

In this episode, we're thrilled to have Sandra Kublik, author of the new book "GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API" with us to discuss the exciting capabilities of LLMs and their potential applications. We'll be discussing Sandra's thoughts on the natural language understanding abilities of LLMs, the role of AI service providers, and some of the most popular LLMs currently in use. We'll also delve into the feasibility of custom AI solutions, the potential for Artificial General Intelligence (AGI) and the ethical and responsible considerations when building and deploying LLMs.  Join us as we explore the evolution of LLMs and the possibilities for custom solutions and services. Sandra will also share her aspirations in the field, and what she sees as the future of LLMs and AI advancements in general. Don't miss this informative and thought-provoking episode of the D4 Data Podcast!" Sandra Kublik is the co-author of the O’Reilly manual book “GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API” an AI entrepreneur, influencer and community builder, fostering AI business innovation in her work. She runs a YouTube channel dedicated to the latest AI trends, particularly large language models. She has served as a mentor and coach to AI-first companies, co-founded the world's first independent AI acceleration program for startups, and grew and successfully scaled a global hackathon community of AI professionals and enthusiasts. Currently, she is building NLP developer community at Cohere.   Sandra's book: https://www.amazon.in/gp/product/B0BRTBD9WM/ref=dbs_a_def_rwt_hsch_vapi_tkin_p1_i0  Sandra's youtube channel: https://www.youtube.com/@sandra_kublik

In this episode, we dive into the world of data-centric AI and NLP, exploring the ethical considerations, limitations, and trade-offs that come with this approach. We start off discussing data-centric AI, and the ethical considerations that come with it in the context of NLP. We also delve into the limitations of data-centric approaches in NLP, and the trade-offs between using a larger dataset versus a curated, smaller dataset. We also touch on the problem of concept drift and the potential for generating biased or misleading data while augmenting data. We also discuss the importance of ensuring the quality of labels obtained through crowdsourcing and how to achieve that. Daniel Vila Suero shared with us why Argilla is open source and how Argilla is adapting to the rapidly changing landscape in the AI industry. Join us as we explore the challenges and opportunities in data-centric NLP and discover how Argilla is pushing the boundaries of what's possible with these models. Daniel Vila Suero is the CEO and co-founder of Argilla. During his PhD thesis on Artificial Intelligence (UPM, 2016), Daniel designed, developed and deployed the end-to-end framework powering the datos.bne.es service from the National Library of Spain. Daniel left academia in 2017 to found Argilla. read more: https://medium.com/@dvilasuero/bringi...  https://www.argilla.io/blog/recognai-... Argilla: https://www.argilla.io/

This is a conversation with Sugato Ray about the world of open source and its impact on career development. You'll learn about the various opportunities available in the open-source community and how participating in open-source projects can lead to valuable skills and experiences that can enhance your professional growth. Whether you're a student, a developer, or a manager, this episode is a must-listen for anyone looking to boost their career prospects in the tech industry. Tune in as we explore topics such as ownership and distribution models of open-source and proprietary software, contributing to open-source projects, evaluating open-source projects to contribute, and how organizations can support in maintaining open-source projects." Sugato Ray is a highly accomplished professional with unique skills and expertise. As a physicist and machine learning practitioner, he is currently pursuing a PhD in Physics and holds an MBA. His research and work have provided him with diverse opportunities in automation, web development, mathematical modelling of real-world problems, databases, and data science-oriented tasks while working with people from various parts of the world. He is currently researching the application of machine learning, including deep learning, in physics using real-world data measured with IR sources. With his strong background in physics, machine learning and business, Sugato is a valuable asset to any organization. Connect with him on LinkedIn to know more about his professional journey and expertise.   Additional links mentioned in this podcast:  Vincent D Warmerdam's GitHub profile: https://github.com/koaning Material for MkDocs GitHub page: https://github.com/squidfunk/mkdocs-m... Martin Donath's GitHub profile: https://github.com/squidfunk

In this episode, we speak with Satshya Tharien, a successful content creator who has built a following on Instagram and youtube by sharing her unique blend of fashion, lifestyle, and humour content. Satshya shares her journey as a content creator, including the challenges she faced when she first started out and the strategies she used to build a loyal and engaged audience. She also shares her insights on the importance of authenticity, the role of humour in her content, and the importance of staying true to your own vision and values. In addition to discussing the challenges and rewards of building a career in content creation, Satshya also offers valuable tips and advice for aspiring content creators. From finding your niche to building a strong brand and working with brands and sponsors, Satshya shares her wisdom and experiences in a candid and engaging way. Whether you are a content creator looking for inspiration and guidance, or simply interested in learning more about the world of content creation, this episode is not to be missed. Tune in and learn from one of the industry's most successful and talented creators! Instagram: satshya | chumma cooking food (@satshyaa) • Instagram photos and videos

This is a conversation with Bea Stollnitz about the advancements in Azure ML and its new cool features in the ML Ops space. Azure ML (Microsoft Azure Machine Learning) is a cloud-based platform for building, deploying, and managing machine learning models. It provides a range of tools and services for data scientists and developers to build, train, and deploy machine learning models in the cloud. In this podcast, we explored the capabilities of Azure ML and how it can be used to build, deploy, and manage machine learning models in the cloud. We also delved into the principles of Azure ML & ML Ops and how they can help organizations optimize and scale their machine learning efforts. Tune in to learn more about how Azure ML and ML Ops can help you drive innovation and business value with machine learning. Bea Stollnitz Bea Stollnitz is a developer advocate at Microsoft, focusing on Azure ML and other AI/ML-related technologies. She has a background in scientific machine learning, software engineering, and applied math. She loves to share her knowledge with others through her Azure ML and machine learning blog.

Watch part-2 of the conversation with Tracy Borreson where we discuss the importance of personal branding and networking. Check out part 1 of this conversation as well! Check out the part-1 of this conversation: https://open.spotify.com/episode/4gdLXjgppyF9zK0ULcuKhn?si=de05fe94f4db419e Tracy shared her story about how she was hesitant to network when she first started her career. She encourages everyone to find ways to feel more comfortable in networking situations, such as by observing and seeking out conversations that make them feel at ease, and being proactive about looking for networking events that are relevant to their interests. Tracy emphasizes the value of having meaningful conversations with potential connections and highlights some practical suggestions for expanding the professional network. Tracy Borreson is all about authenticity. Whether in her corporate digital influence consulting, 1:1 personal brand coaching, or as co-founder and Chief Peep of the international Your Business Peeps community, Tracy endeavours to bring her personal brand into everything she does, as well as encourage others to find, own and show up with their personal brand leading the way. Tracy strives to bring more uniqueness to the world because THAT’S what actually stands out in a crowded marketplace.

Articulating the value of data and AI can be difficult, as customers often have unrealistic expectations about the accuracy and efficiency of the solution. This podcast video discusses how to present an AI solution to customers, how to keep in mind important considerations when introducing AI into a business, and the different types of value that can be generated by data and AI solutions. The speaker discusses the importance of embedding deep domain expertise into algorithms in order to ensure accuracy and performance. They also discuss how to articulate the value of data and AI to customers, emphasizing the need for a domain expert to be in charge.

In this podcast, Nermeen talks about how important it is to have transparency and diversity in AI, and how this can help to prevent bias. The video discusses how technology impacts daily life and how people need to be involved in its development. The video discusses how people need to be aware of the implications of how their technology choices impact their lives. It encourages people to be involved in technology development and discusses how technology impacts daily life. Nermeen Ghoniem is the founder and host of Hello Ada, a place to discover all cool initiatives for getting kids more intrigued about technology, with a particular focus on girls.   She is also the co-founder at With Purpose, providing the infrastructure to enable the next-generation women entrepreneurs in the Nordics to start, run and grow purpose-led companies.  She is a true hybrid bridging between design & technology, soft skills and hard skills, stories and science, with thorough experiences working with AI, human-computer interaction and UX in companies such as Microsoft and Jabra.

In this podcast, Tracy shares her journey of personal branding and networking, and how both are essential to success. She advises listeners to begin by identifying what is authentic for them and to experiment with different topics through conversation. Networking is a critical part of developing a personal brand and should be prioritized over other activities. The podcast emphasises that It is not a one-time event but rather a journey that evolves over time. Tracy Borreson is all about authenticity. Whether in her corporate digital influence consulting, 1:1 personal brand coaching, or as co-founder and Chief Peep of the international Your Business Peeps community, Tracy endeavours to bring her personal brand into everything she does, as well as encourage others to find, own and show up with their personal brand leading the way. Tracy strives to bring more uniqueness to the world because THAT’S what actually stands out in a crowded marketplace.

This Podcast video discusses the importance of adhering to ethical principles when using artificial intelligence in business. The speaker talks about the need for transparency and trust when using AI, as well as the need for cross-disciplinary collaboration in order to ensure that AI is used responsibly. The EU AI act is mentioned as a promising development in this regard. Dorothea Baur is Europe's leading expert and advisor on ethics, responsibility, and sustainability. She provides explicit ethics strategy consulting for decision-makers in tech and finance. Dorothea originally earned a PhD in business ethics, specifically NGO-business partnerships. For several years she has run her own consulting company and been active in projects around sustainable investment, corporate social responsibility, and increasingly, emerging technology such as AI.

This podcast overviews some of the challenges associated with implementing AI solutions in a production environment. It offers advice on how to overcome these challenges and discusses the importance of ethical considerations when working with AI technologies. This video discusses the importance of data versioning, and MLOps, and how to properly use them. It advises data scientists to always follow best practices, use the right tools, and track results. Ashish Patel is a Chief Data Scientist, AI researcher, and AI Consultant with over 11 years of experience in AI, Currently living in Ahmedabad(INDIA). He has written a book on "Hands-on time series Analysis with Python" with Apress Publication. He has a Master of Engineering Degree from Gujarat Technological University and his keen interest and ambition to research in the following domains such as (Machine Learning, Deep Learning, Time series, Natural Language Processing, Reinforcement Learning, Audio Analytics, Signal Processing, Sensor Technology, IoT, Computer Vision). He is currently working as Chief Data Scientist and Sr.AWS AI ML Solution Architect for IBM. He has published more than 15 + Research papers in the field of Data Science with Reputed Publications such as IEEE. He holds Rank 3 as a kernel master in Kaggle. Ashish has immense experience working on cross-domain projects involving a wide variety of data, platforms, and technologies

This podcast discusses how recommendation systems are becoming increasingly important and can be used to increase revenue or click-through rates. It also covers the advancements in algorithms and how large-scale recommendations are implemented in real-time. The speaker discusses the importance of personalized recommendations for companies, the growth of this field, and how companies can reinvest in their recommendation systems to improve their user experience and revenue. Miguel Fierro is a Principal Data Science Manager at Microsoft Spain, where his job consists of helping customers leverage their processes using Big Data and Machine Learning.  Previously, he was CEO and founder of Samsamia Technologies, a company that created a visual search engine for fashion items allowing users to find products using images instead of words, and founder of the Robotics Society of Universidad Carlos III, which developed different projects related to UAVs, mobile robots, small humanoids competitions, and 3D printers. Miguel also worked as a robotics scientist at Universidad Carlos III of Madrid (UC3M) and King’s College London (KCL) and collaborated with other universities like Imperial College London and IE University in Madrid.

The podcast discusses the capability of AI in music composition, and Computational Creativity. The speaker describes how the recent models he's worked on are used to represent music, and explains how the AI learns and generates short pieces of music that are rhythmically and harmonically sound. Dr. Tristan Behrens is an expert in AI, an AI composer, and an AI educator. He has an extensive track record in successful Deep Learning projects. His biggest focus is Deep Neural Networks for composition. He has published several albums of music composed with a computer. Tristan currently works as an AI hands-on advisor and strategic consultant with Schneider Electric  Read more about Tristan Behrens: https://ai-guru.de/

This podcast video discusses the importance of having a sound understanding of AI before implementing it in order to avoid common mistakes. The speaker also points out the need for an "agile" mindset when working with AI, and suggests that data scientists incorporate a business perspective to be more effective. The video concludes with a discussion of the current state of AI maturity in organizations. Afke Schouten is the Director of Studies for AI Management and AI Operations at HWZ University of Applied Sciences in Zurich. She also founded AI bridge a corporate training and consulting company focusing on helping organizations generate value with AI.   Afke is a regular contributor to Towards Data Science and different national, and industry magazines. She holds a degree in Mathematics Econometrics and Management Science, and speaks fluent Dutch, English and (Swiss-) German   Read more about AI Bridge: https://aibridge.ch/

The podcast video discusses how to measure the culture of an organization using different AI frameworks. It features KindQ, a behavioural science-based measurement tool from the Summery team which provides unbiased analysis of data to help executives make decisions, and how they have seen success in increasing donations and recruitment through their product. Erin is a Forbes #Next1000 entrepreneur and was recognized as a AI4Good ESG / AI Innovator in 2022 by Women in AI North America. She leads a team of behavioral, cognitive, and data scientists and has been profiled in Forbes, Entrepreneur, BBC Technology, National Geographic, Fox News, and NPR.   Before turning to technology, Erin had a 15-year career in global finance, working with companies such as Bank of America, Morgan Stanley, and American Express. She has also consulted with global social impact leaders including W.K. Kellogg, Tides, and Ashoka Foundations.   Author of the book series Adventure Philanthropist, Erin earned a BA from Mills College, a MA from the New School for Social Research, and a Master of Philosophy (M.Phil) from the Chinese University of Hong Kong. After travelling to more than 100 countries and volunteering with humanitarian organizations, Erin continues to live as a digital nomad.

Lexi AI is a platform that helps lawyers and legal experts to speed up the knowledge-gaining process, reducing the opportunity cost of time spent observing regulations. The legal industry is seeing increased digital adoption, but there are still some challenges in convincing lawyers to use digital tools. Lexi AI's platform is different from other offerings in that it is designed to make the law more accessible and understandable. The platform offers aggregated knowledge about the law, research platforms, and special formats to help users better understand the structure of the law. Susann is a lawyer and an entrepreneur at heart. Susann has been involved in a number of business foundation processes during her consultancy times in addition to practising energy law for almost 15 years.   Prior to co-founding LEX AI, Susann’s legal practice was focused on consultancy on energy law along the corporate/commercial. During her time as a lawyer, she was deeply involved in regulatory topics meaning that companies found themselves confronted with new or updated regulations not knowing what is the impact on them not only from a regulatory perspective but also from a process and business development perspective.   Read more about Lex AI: https://lexai.co/en

This podcast discusses the role of artificial intelligence in sustainable finance, with a focus on the ethical implications of the technology. The speaker discusses how AI is being used to assess sustainability factors in companies, and how data bias can be a challenge in this process. They suggest that policymakers should be thinking about these issues and developing a framework to deal with them. Steven works as an innovation consultant, assisting clients in understanding what technology can do for them. Steven has extensive experience in the startup field, having worked for start-up accelerators, founding his own tech start-up, and assisting other start-ups in their growth.  Read more about Steven and his work: http://stevenboylan.eu/ http://ingubu.io/

The podcast video discusses how AI can have a positive or negative impact on climate change goals and suggests that businesses and researchers take into account the potential impacts before starting any AI projects. It also discusses how AI can be used to help reduce emissions, and the various challenges and bottlenecks involved in doing so. Tijana Nikolic is an AI Specialist in Sogeti Netherlands AI CoE team. Her vision is to bring innovative solutions to the market with a strong emphasis on privacy, quality, ethics, and sustainability while enabling the growth and curiosity of team members.

The podcast discusses the ethical implications of artificial intelligence, and how responsible and ethical AI can be implemented. It discusses the importance of data collection and pre-existing bias, and the potential for liability when AI makes mistakes. The podcast also discusses the importance of diversity in the field of AI. Alexandra Ebert is a Responsible AI, synthetic data & privacy expert and serves as Chief Trust Officer at MOSTLY AI. As a member of the company's executive leadership team, she is engaged in public policy issues in the emerging field of synthetic data and Ethical AI and is responsible for engaging with the privacy community, regulators, the media, and with customers. She regularly speaks at international conferences on AI, privacy, and digital banking and hosts The Data Democratization Podcast, where she discusses emerging digital policy trends as well as Responsible AI and privacy best practices with regulators, policy experts and senior executives. Read more about Mostly AI: https://mostly.ai/

This video discusses the applications of NLP, with a focus on how they can be used to build apps and software. The speaker discusses the challenges associated with deploying and running machine learning applications, specifically mentioning issues with cost and complexity. They mention that there are a number of tools available to help with these difficulties, but note that there are still some challenges to be overcome. Ramsri is an AI researcher and product builder combined into one. He is currently building two revenue-making NLP SaaS apps Questgen.ai and Supermeme.ai. Questgen is an edtech startup to generate school quizzes like MCQs etc from any text using AI. Supermeme is a meme marketing tool for individuals and brands to generate original memes with AI.  Prior to this, Ramsri has 10+ yrs of work and startup experience across the USA, Singapore, and India. He is obsessed with mapping cutting-edge AI research to practical real-world use. He is also an avid content creator and has built a 50k+ audience across various social media platforms   Read more about  Questgen: https://www.questgen.ai/ Supermeme: https://www.supermeme.ai/

The podcast video discusses the design philosophy behind the Spacy library, its inspiration from other high-quality machine learning libraries, and the turning point in its development. The speaker also discusses how the library offers a variety of services to help developers create custom pipelines for specific domains, and how it is being improved with the help of real-world industry problems. Ines is a software developer working on Artificial Intelligence and Natural Language Processing technologies, and the co-founder and CEO of Explosion. She is a co-creator of spaCy, one of the leading open-source libraries for Natural Language Processing in Python, and Prodigy, a modern annotation tool for creating training data for machine learning models.  Ines grew up on the internet and started coding and designing websites at 11. After completing her degree in Communication Science, Media Studies and Linguistics, she spent four years working in media and sales, before founding Explosion.   Spacy Official website: https://spacy.io/ Exposion: https://explosion.ai/

This video discusses the use of artificial intelligence in scholarly research, including various applications and benefits. It also discusses ethical concerns and how they are being addressed. This podcast discusses different AI use cases in scholarly research, including applications for checking grammar, detecting plagiarism, and annotating articles. The speaker talks about popular AI tech stacks and mentions a tool for measuring qualitative quality. Maha Amami is an NLP Data scientist at MyScienceWork, a company that provides a suite of data-driven solutions for research institutions, scientific publishers and private-sector R&D companies https://www.mysciencework.com/ Maha likes to prototype, build, and deploy AI applications at scale for scholarly research institutions to deliver value. She holds a PhD in computer science from the University of Milano-Bicocca and her PhD research focus was on the scientific paper recommendation. She likes writing articles on medium covering self-experience in academia and data science subjects.

Jina.ai is a company that provides neural search services using machine learning models. The company is also expanding its services to include vector databases and other tools to help users get the extra mile of quality in their search results without needing to microservices or communicate with other users. In this podcast, the speaker discusses the company's focus on providing solutions for the neural search domains, as well as some of the team's recent industrial collaborations. They also discuss the future of neural search, noting that research is key to making the technology more effective. Joan Fontanals Martinez is Born in Barcelona, Spain in 1990, studied Engineering in Barcelona and then started being interested in the fields of Software Engineering and Artificial Intelligence. He has worked as a Software Engineer and Data Engineer in different industries. He joined Jina in 2020 as an AI Engineer and is currently Head of Engineering.  If you are an Open Source Lover & if you love Jina Get your Swag at https://jina.ai/blog/swag/

Federated learning is used for distributed training of machine learning algorithms on multiple devices without exchanging training data. The video discusses the History of Federated Learning, different Architectures, the challenges associated with using the platform, as well as the potential future prospects for the technology. The speaker also explained the framework "Flower" which is an open-source framework for Federated Learning. Maria Boerner has a Ph.D. in physics and an academic background in data analysis and processing. She worked at the world's largest Particle Colliders CERN and DESY and managed AI projects at for Porsche, PwC and Daimler.

The podcast discusses the importance of ESG (environmental, social, and governance) and how it needs to be integrated into business strategies. They also discuss the use of technology in ESG due diligence, its challenges, Sustainable investment, Greenwashing and how it is necessary to have a standardized approach to data collection and analysis. Ana Luci is a 22-year experienced sustainability advisor and lecturer focused on the incorporation of environmental and climate variables within businesses’ strategic planning.

This is a conversation with Ms Punitee Garyali on the advancements in Artificial Intelligence in the Healthcare sector. Punitee is a Physician-Scientist and is passionate about using technology, especially artificial intelligence, to solve complex biological problems.  Punitee has degrees in Medicine & Engineering along with a doctorate in Biochemistry and wants to contribute to research that has a direct impact on the community. She is working with AI Talos as a Medical Advisor to create an AI-powered solution for breast cancer diagnosis. She believes that the convergence of AI/ML with medicine opens up endless possibilities! This Podcast discusses the potential benefits of using artificial intelligence in healthcare. It notes that while AI can assist in certain aspects of healthcare, it should never be considered a replacement for a human physician. 

The podcast discusses the features and capabilities of the Notebook as a Service (NaaS) platform. The platform provides users with access to monitor and manage their notebooks in a centralized location, making it easier to schedule and track tasks. They also discuss the design concept behind the drivers and templates, and how they are designed to be more simple and closer to users. Jeremy Ravenel with his team started Naas.ai to augment Notebooks and run them in production with a low-code approach in mind.   Naas software is a data platform used to manage tasks with low-code formulas and templates. Link data with Python and can create an information flow between your data workflows with AI-powered data pipelines. Schedule workflows via Notebooks API in minutes. Small and Medium companies make use of the software. https://www.naas.ai/

The Passion Perspective is all about helping individuals identify and then develop programs to pursue their passions. Kira, the founder of the Passion Center, has designed courses that help individuals clear out blocks and old patterns of thought, and understand their passions. The podcast discusses the importance of identifying and driving passion in one's life, and how to apply it to one's work. Kira is the founder of the Passion Centre, an organization that works with companies to adapt to the aggressively changing expectations of employees who seek meaning, purpose and fulfilment in their work. Kira is also the Executive Producer and Human Experience Designer for the Docu-Series, ‘The Retreat’, soon to be found on Amazon Prime, Apple TV, H2H, Roku and other distribution networks and platforms.

This podcast discusses the challenges of deploying machine learning models in production. These include model degradation over time, infrastructure challenges, and data security. The podcast also discusses the need for proper automation of ML processes and how it is implemented by leveraging AWS Cloud Services in projects at Thomson Reuters Labs Lakshminarayan is a Lead Engineer - Machine Learning at Thomson Reuters Labs in Bangalore. He works with a team of engineers, scientists and designers to deliver ML solutions in TR products.   Harpreet is a Senior Cloud and DevOps Engineer at Thomson Reuters Labs in Bangalore. He works with a team of engineers, scientists and designers to build and Deploy solutions in Cloud. Ms Shirsha Ray Chaudhuri, from the Thomson Reuters team, deserves special recognition for her efforts in coordinating this Podcast Series with the team.

This podcast discusses the importance of explainable AI and how it can improve AI systems' reliability. The conversation also touches on the different needs of users and data scientists when explaining AI systems. Milda Norkute is a Senior Designer at Thomson Reuters Labs in Zug, Switzerland. She works with data scientists and engineers on enhancing products and services across the Thomson Reuters product portfolio with Artificial Intelligence (AI) solutions. Milda is focused on user research and the design of the products to figure out how and where to put the human in the loop in AI-powered systems.

Named entity recognition is a process of identifying and classifying entities in a document, and it is especially challenging in the legal domain due to its rich vocabulary and different use cases. The architecture that has been developed using Pointer Generator Network is able to overcome these challenges which have led to improved performance. Sagar L. is a Senior Data Scientist at Thomson Reuters Labs in Bangalore, which was set up a few months ago as the first Labs site in India. He works with a multi-disciplinary team consisting of domain experts, designers and engineers. Sagar has a master's degree in Biotechnology Engineering from IIT Madras. Prior to joining Thomson Reuters, he worked with the Government of India, led data science initiatives at Nestaway Technologies, and co-founded Life Catalyst Technologies. Research Paper Link: https://arxiv.org/abs/2012.09936 Authors: Stavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman (Thomson Reuters Labs)

This podcast discusses a research project about Fake Points of Interest from Location Data using ML models. The speaker shares his experience working with designing this model. The podcast also discusses how the project can be improved, specifically by trying out new models and data sets. Syed Raza Bashir is a PhD Candidate in computer science from Toronto, Canada. He has over 20 years of experience in the teaching and software industry. He is currently working as a Professor in Sheridan College and working as Scientific Managing Editor in Computer Science at Elsevier. He also completed certifications; Microsoft Certified Professional, Microsoft Azure Administration and ITIL.  He is also working as Supervisor for Capstone Projects. His areas of interest include machine learning, deep neural networks, and Software engineering. He has spent a significant amount of time in detecting fake points of interest (POI) in Google maps and then recommending those fake free POI’s to users. He also published a number of papers in this area.