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Maribel Lopez
The AI with Maribel Lopez (AI with ML)Episodes
Maribel Lopez
The AI with Maribel Lopez (AI with ML)
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Episode Summary: In this episode, recorded live at the IBM Think event in Boston, Maribel Lopez moderates a panel on AI governance with key figures from IBM and AWS. The discussion revolves around the current state and future of AI governance,
This podcast was recorded as a LInkedIn Live on managing AI risk, governance, and explainability. We also talk about the EU AI Act's impact on the overarching global regulatory environment. Bio: Heather Gentile, Director of watsonx.governance P
In today’s episode, we delve into the transformative role of artificial intelligence in modern contact centers. We had the pleasure of speaking with Carmit DiAndrea, Director of AI and Data Management at NICE, who shared her invaluable insights
In this episode, we dive deep into the world of Edge AI with a focus on the embedded edge market, featuring insights from Krishna Rangasayee, the founder and CEO of SiMa.ai. In this podcast we discuss the need to scale AI and ML technologies in
AI has the potential to revolutionize healthcare in areas that range from drug discover to the patient experience. In this podcast, Heather Lane from athenahealth shares the challenges and opportunities of using AI to improve the patient and cl
In this podcast we discuss how leading business create an AI mindset and how to overcome technical AI challenges. About Arun Kumar:Arun Kumar, EVP, Data & Insights at Hero Digital With over a decade of experience delivering analytical customer
In this bonus podcast episode, I interviewed Juniper Networks' Chief AI Officer, Bob Friday, to discuss changes in AI and how AI impacts the networking industry. Mr. Friday also defines AIOps and what it means to deliver what Juniper Network
Amazon Web Services held its annual cloud computing conference in Las Vegas at the end of November. In this podcast, Maribel Lopez recaps some of the key artificial intelligence announcements from her attendance at the event. There were key pro
It's the year of generative AI and every technology category changed as a result of access to new foundation models. In this podcast, I speak with Elastics's CPO Ken Exner about how enterprise search analytics and other categories, such as how
In this episode, we take on questions such as how do hallucinations in AI impact the CX space? Are developers still necessary in the age of AI and what advice Verint would offer to companies investigating AI for their customer experience projec
Everyone talks about AI in the cloud. However to achieve the full business benefits of Artificial Intelligence, companies need to create a foundational software and hardware infrastructure that can support AI at the device level, edge and clou
In this podcast, I interview Kavitha Prasad. She is Intel's VP for Artificial Intelligence Strategy. We started the conversation by defining the various types of AI accelerators to deliver clarity. We move on to discuss the barriers to unloc
Wendy's CIO shares his thoughts on building a next generation customer experience, and designing with cross-functional teams. Vaconi shares how cloud computing, mobility and AI provide the technical foundation for delivering on new business
In this podcast with Accenture's Christie Smith, we discuss the organizational learnings from the company's recent book Radically Human and the changes in required to successfully navigate the future of work. Her bio:Christie Smith is the glo
In this podcast we discuss the intersection of digital identity, security and artificial intelligence. Joe Burton, Chief Executive Officer, TelesignJoseph Burton is the CEO of Telesign. Before Telesign, he served as CEO of Plantronics (now Po
In this podcast, I speak with Michelle Donnelly, the Chief Revenue Officer at Groq, about how advancements in AI accelerators are enabling companies to process workloads that were previously unimaginable. Michelle's bio.Michelle Donnelly, the C
In this podcast, Sharon Mandell describes how AI helps her team at Juniper and Juniper Networks' IT customers to deliver better experiences. Links to information discussed in the podcast. 2022 Juniper Networks AI Report: https://juni.pr/3CyRd
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 tr
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 fo
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.
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 compani
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 M
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 MerveMer
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 C
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 in
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