The Asigmo Data Science podcast is aimed at inspiring us all to join the conversation. Join me every week as I sit down with people working with Artificial intelligence and get to know what keeps them up at night, their process, lessons they have learned and how they have made an impact.
Episode 6. Cloud Computing and Women In Technology With Susanne Tedrick_mixdown
In German there is a saying that goes: ''Geteilte Freude ist doppelte Freude, geteilter Schmerz ist halber Schmerz.'' This translates to: ''shared joy is double joy, shared sorrow is halved sorrow''. Susanne encompasses this saying with her willingness to help women in their careers and has dedicated parts of her career to doing so. She is there for them, through their highs and lows, and sees a future where there is room for all to succeed. Susanna is an Azure Infrastructure Specialist, at Microsoft. She is also the author of Women of colour in tech. She has run marathons and is an avid game nerd.
Episode 5. Discrimination in AI and the use of technology in healthcare
Our guest today is Yudan Lin the founder of Unexpected Data. By creating unexpected and inspirational content, Unexpected Data supports you in understanding what it takes to live in the world of Data Science, Machine Learning and Artificial Intelligence. Taboos are especially investigated: from sex, justice, and the digital fight for our attention. By sharing career journeys, challenges had, lessons learnt, Unexpected Data highlights people and initiatives who support the common good.
Episode 4. Coded Bias an in-depth look into the ethics of AI with Dr Rania Wazir
“It was a bright cold day in April, and the clocks were striking thirteen.” Today’s episode will not be a deep dive into Orwell's classic novel 1984, rather an insight into what perhaps might sound too much like a dystopian future. With the launch of the documentary Coded Bias, the conversation of all-powerful artificial intelligence systems, and the entities that deploy them is becoming more difficult to navigate. On today’s episode, Dr. Rania Wazir joins us for a discussion on the incremental steps that are being taken to regulate the field.
Episode 3. Data Quality in Machine Learning and Data Science
In today’s episode, our guest Ramin Hasani is here to talk about data quilty and touch on the world of Robotics. He is a machine learning scientist at the Computer Science and Artificial Intelligence Lab, at MIT. He has completed his PhD studies (with distinction) in Computer Science, at TU Wien, Austria. His research focuses on developing interpretable deep learning and decision-making algorithms.
Episode 2. Effective development of voice assistants in the 21st century
Voice assistants although common are perhaps not the topic on-demand in the mainstream media. They are available on almost every device, from your phones to even your cars. The reality of this technology is that its untapped capabilities, go far beyond looking up a phone number. In our second episode, I sit down with Ekaterina Panfilova to discuss the developments in the industry as well as go behind the scenes for a more technical view.
Trailer Asigmo Data Science Podcast