Peter Scott (AI leader and author of Artificial Intelligence and You) is an expert on all things AI, Peter Scott is on a mission to help us to get along with artificial intelligence. He has given TEDx talks, spoken to audiences as diverse as transformational leaders, executives, and British parliamentarians, and created a program to train coaches in helping clients become resilient to exponential disruption. A Master’s degree in computer science from Cambridge University led him to spend more than thirty years working for NASA’s Jet Propulsion Laboratory, helping advance our exploration of space. A parallel pursuit of the human development field as a certified coach positioned him to recognize and address technological disruption. The births of his children brought him into a mission, to help people understand, use, and advance AI for the betterment of all.

In 2020, Scott started the Artificial Intelligence and You Podcast, bringing together expert guests as diverse as politicians, CEOs, philosophers, developers, and artists to help audiences understand this incredibly complex thing called AI. He has recorded over 100 episodes and generated an audience of more than 1,000 listeners. Scott is also the founder of Next Wave Institute, an international educational organization teaching how to understand and leverage AI to thrive through technological disruption.

Tracy Pizzo Frey is the Founding Partner, Uncommon Impact Ventures. Founder, Restorative AI. She was a one time dancer, teacher, forest explorer, Googler and is currently a mom. 
Uncommon Impact Ventures invests in technology solutions led by founders who share our values to create products, equity, and profits with integrity. To support them, it created a proprietary model of startup development that combines the best of VCs, incubators, and accelerators. Its  holistic playbook de-risks a new venture to create a higher win ratio by providing companies with capital, infrastructure, and connectivity.

You can learn more about and follow Tracy at https://www.linkedin.com/in/tracy-frey/ and https://tracypfrey.medium.com

Alex Hagerup, the CEO of Vic.ai, shares the difference between using AI for  automation versus autonomy in accounting. 

About Alex:

Alexander is a serial tech entrepreneur with a strong passion for artificial intelligence. Prior to launching Vic.ai, he founded two other technology companies; his last one was funded by Northzone Ventures and later acquired by NASDAQ-listed J2 Global Inc., in 2014. He has a finance and accounting background and is a former board member of 24SevenOffice.com, the largest cloud accounting & ERP system in the Nordic region.

Where you can find him: 

 https://www.linkedin.com/in/alexanderhagerup/

https://www.linkedin.com/company/vic.ai/

https://twitter.com/VicDotAi

You can follow me at:  http://twitter.com/MaribelLopez https://www.linkedin.com/in/maribellopez/  and http://www.lopezresearch.com

You can  subscribe to the podcast on your favorite channel and the newsletter by visiting https://aiwithml.com

There are numerous challenges to working with distributed data. How do we secure, analyze and govern data in a hybrid cloud world? In this podcast, Michael Factor from IBM Research describes what a hybrid data fabric is and how it helps companies gain value from data in distributed locations.

Michael Factor's bio.

Dr Factor is an IBM Fellow with a focus on cloud data, storage and systems.   He has a B.Sc., Valedictorian (1984) in Computer Science from Union College, Schenectady, NY. M.Sc. (1988), M.Phil. (1989) and Ph.D. (1990) in Computer Science from Yale University. Since graduating, Dr. Factor has worked at the IBM Research -- Haifa.

His current main focus area is hybyrd cloud data.  Among his responsiblities is as a global lead for all work on Hybrid Data form IBM Research.  In this role, he and the global team are defining future directions to ensure 1) it is easy to get the right data for a task, 2) that data is always used in a secure and governed fashion and 3) that IBM has high-performance, secure, highly-functional and cost efficient data stores and processing engines.  In addition, he serves as the main focal point in moving IBM Research innovations from the Lab into the IBM public cloud where his team has contributed to services such as IBM Cloud Object Storage, IBM SQL Query Service, and various Spark related services.  Beyond his Research efforts, he also works closely with both the IBM Public Cloud and the IBM Data and AI team to provide guidance and expertise on directions such as serverless computation, data lakes and future enhancements to object storage.
You can follow Michael's research here.   

You can follow me on Twitter @MaribelLopez and on LinkedIn here. 

Machine Learning Operations (MLOps or ML Ops) is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently, as defined in various publications.  In this podcast we take on the topic of  MLOPs. What is it and is it like DevOps for AI?  Turns out it’s broader than you might think including everything monitoring to governance and explainability.  Adewumni shares why it's both necessary and exciting.

For her 30 second recommendation, Ade shared the Cloudera Fast Forward Labs blog which can be found here. She also mentioned a report by the Algorithmic Justice League on bug bounties for algorithmic harms which can be found here.

You can follow Ade on Twitter  @Adewunmi  and  @FastForwardLabs . You can also find her on Medium medium.com/@adeadewunmi and LinkedIn here. 

You can follow me on Twitter @MaribelLopez and on LinkedIn here. 

In this podcast, Merve Unuvar, the  Director of AI Platforms and Automation team in IBM Research AI, talks  about automation trends including AI-enabled low code automation, API management, and how to deal with unstructured data.

About Merve
Merve Unuvar is leading the global research strategy for Business and IT Automation, partnered with the IBM Hybrid Cloud Automation business with a focus on bringing AI infusion across IBM's Cloud Paks for automation, and integration. Her team consists of research and data scientists, engineers and designers building platforms, tools and programming models that enable data scientists and developers to create and operate AI models and applications faster and better. Merve's team is developing cutting edge technology in the intersection of core AI, distributed systems, cloud computing, human computer interaction and visualization.

You can follow her at:
https://www.linkedin.com/in/merveunuvar/ & https://researcher.watson.ibm.com/researcher/view.php?person=us-munuvar

You can follow me at:  http://twitter.com/MaribelLopez https://www.linkedin.com/in/maribellopez/  and http://www.lopezresearch.com

You can  subscribe to the podcast on your favorite channel and the newsletter by visiting https://aiwithml.com

Machine learning and cybersecurity are tied at the hip. In this podcast, Chris Pedigo, the Go-to-market CTO for Lacework, discusses key trends, common misconceptions and advice for navigating a rapidly evolving security market.

You can follow Chris at https://www.linkedin.com/in/chrispedigo/
You can follow Maribel at http://twitter.com/MaribelLopez and https://www.linkedin.com/in/maribellopez/

You can  subscribe to the podcast on your favorite channel and the newsletter by visiting https://aiwithml.com

About Lacework
Lacework is a  security company for the cloud. The Lacework Polygraph® Data Platform automates cloud security at scale. It  collects, analyzes, and correlates data across an organization’s AWS, Microsoft Azure, Google Cloud, and Kubernetes environments, and narrow it down to the handful of security events that matter. It was founded in 2015 and is headquartered in San Jose, California. Learn more  at www.lacework.com.

Natural Language Processing in AI isn't a new field, but it's  advanced rapidly since 2019. Are we at the human-level of understanding  with NLP and what can be done today? Models trained on generic data sets often fail to retrieve the right information for businesses. Today, technology companies are developing solutions that allow enterprises to extract meaningful insights from textual data.  In this podcast Shila Ofek-Kiofman, the Director of Language Technologies for IBM Research AI, shares what's happening in NLP research and how it will help companies create better models using business-specific terms.  You can follow Shila at https://www.linkedin.com/in/shila-ofek-koifman-1660701/   

How can computer vision and machine learning change retail? In this podcast, I interview Richard Schwartz of Pensa Systems. The company offers an automated retail shelf intelligence solution that uses patented computer vision and artificial intelligence to scan all products and categories within a  store. In this podcast, we talked about how AI can help retailers with instantaneous access to actual shelf inventory conditions, enabling them to improve sales, optimize labor and deliver better shopping experiences.

In this podcast, I speak with Afsana Akhter about how Amelia Virtual care uses newer technology such as augmented reality, virtual reality and artificial intelligence  to help individuals overcome fears from their homes and at professional facilities.

Her bio
Afsana Akhter, CEO of Amelia Virtual Care

With 20+ years of experience across Tech and Digital Health, Afsana Akhter is driving the expansion and adoption of Amelia Virtual Care’s VR platform for mental healthcare. Afsana has held commercial leadership roles at Livongo, Prealize Health, and Medullan. Afsana holds BS and MEng degrees in E.E.C.S. from MIT.

You can follow her at: 
https://www.linkedin.com/in/afsana-akhter/ & @AfsanaNow
You can follow me on Twitter @MaribelLopez & LinkedIN https://www.linkedin.com/in/maribellopez/