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/