Artificial Intelligence

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This episode is brought to you by Advanced RISC Machines (ARM). ARM is a family of reduced instruction set computing architectures for computer processors https://www.arm.com/
 

IBM Global AI Strategist Mara Pometti is IBM’s first AI Strategist. She defines and designs the strategy for AI solutions by revealing overlooked insights hidden in enterprises’ data. In this episode we speak about strategy, explainable AI and data storytelling.
 
References
IBM Trustworthy AI: https://www.ibm.com/watson/trustworthy-ai
IBM AIX360: https://aix360.mybluemix.net/
Explainable AI and Data Storytelling: https://medium.com/aixdesign/the-next-generation-of-storytelling-1d5fecc8f999
Mara Pometti’s website: www.marapometti.com
Mara Pometti LinkedIn: https://www.linkedin.com/in/mara-pometti-99962594
Mara Pometti Twitter: https://twitter.com/91_pometti 
 

In this episode Mikkel and Francesco have a really interesting conversation about some key differences between large and small organization in approaching machine learning. Listen to the episode to know more.
 
References
https://dreamdata.io/b2b-attribution
https://dreamdata.io/services
 
https://www.nature.com/articles/s43586-020-00001-2

A few weeks ago I was the guest of a very interesting show called "AI Today". In that episode I talked about some of the biggest trends emerging in AI and machine learning today as well as how organizations are dealing with and managing their data.
 
The original show has been published at https://www.cognilytica.com/2021/08/11/ai-today-podcast-interview-with-francesco-gadaleta-host-of-data-science-at-home-podcast/
 
Our Sponsors
Quantum Metric
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Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
 

Remember GANs? Generative Adversarial Networks for synthetic data generation? There is a new method called Generative Teaching Networks, that uses similar concepts - just quite the opposite :P - to train models faster, better and with less data.
Enjoy the show!
 
Our Sponsors
Quantum Metric
Stay off the naughty list this holiday season by reducing customer friction, increasing conversions, and personalizing the shopping experience. Want a sneak peak? Visit us at quantummetric.com/podoffer and see if you qualify to receive our “12 Days of Insights” offer with code DATASCIENCE. This offer gives you 12-day access to our platform coupled with a bespoke insight report that will help you identify where customers are struggling or engaging in your digital product.
 
Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
 
References
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data https://arxiv.org/abs/1912.07768
 

Is reinforcement learning sufficient to build truly intelligent machines? Listen to this episode to find out.
Our Sponsors
Quantum Metric
Stay off the naughty list this holiday season by reducing customer friction, increasing conversions, and personalizing the shopping experience. Want a sneak peak? Visit us at quantummetric.com/podoffer and see if you qualify to receive our “12 Days of Insights” offer with code DATASCIENCE. This offer gives you 12-day access to our platform coupled with a bespoke insight report that will help you identify where customers are struggling or engaging in your digital product.
 
Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
 
 
References
https://bdtechtalks.com/2021/06/07/deepmind-artificial-intelligence-reward-maximization/
https://pub.towardsai.net/building-reinforcement-learning-agents-that-learn-to-collaborate-and-compete-at-the-same-time-d081fea942d2
https://towardsdatascience.com/intro-to-reinforcement-learning-temporal-difference-learning-sarsa-vs-q-learning-8b4184bb4978
 

In this episode I have a wonderful chat with Ronald Schmelzer and Kathleen Walch, authors of "AI Today" the top podcast for those wanting a no-hype, practical, real-world insight into what enterprises, public sector agencies, thought leaders, leading technology companies, pundits, and experts are doing with AI today.
 
 
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Visit their website at quantummetric.com/podoffer and see if you qualify to receive their “12 Days of Insights” offer with code DATASCIENCE. This offer gives you 12-day access to the platform coupled with a bespoke insight report that will help you identify where customers are struggling or engaging in your digital product. 
 
 
Sponsored by Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
 
 
Links
 
AI Today podcast: http://aitoday.live/
CPMAI Methodology: https://www.cognilytica.com/cpmai-methodology/
 
 

Our Sponsor
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
 
 
References
Fisher, Aaron, Cynthia Rudin, and Francesca Dominici. “Model Class Reliance: Variable importance measures for any machine learning model class, from the ‘Rashomon’ perspective.” http://arxiv.org/abs/1801.01489 (2018).
Python SHAP https://github.com/slundberg/shap
 
 

In this episode Fetch AI CTO Jonathan Ward speaks about decentralization, AI, blockchain for smart cities and the enterprise.Below some great links about collective learning, smart contracts in Rust and the Fetch AI ecosystem.
Decentralised collective learning: https://github.com/fetchai/colearn
Smart contracting platform written in Rust https://docs.cosmwasm.com/docs/0.14/
Fetch.ai cosmwasm contracts for collective learning: https://github.com/fetchai/contract-learn
How the Colearn system works: https://vimeo.com/440365943

It made already quite some noise in the news, GitHub copilot promises to be your pair programmer for life.In this episode I explain how and what GitHub copilot does. Should developers be happy, scared or just keep coding the traditional way?
 
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