By Maribel Lopez
5
2121 ratings
The podcast currently has 37 episodes available.
Episode Summary: In this episode, Maribel Lopez discusses responsible AI governance with Credo AI’s Head of Product Susannah Shattuck. Susannah builds AI governance tools that help organizations design, develop, and deploy ethical AI at scale. She has been working in Machine Learning Operations and AI governance for the last five years; her passion for AI governance can be traced back to her days on the IBM Watson implementations team, where she saw firsthand all of the things that can go wrong during the ML development lifecycle. Maribel and Susannah discuss the difference between responsible AI strategy and AI governance, the EU AI Act, and how she helps teams build governance plans that work for them.
Key Themes: Maribel and Susannah begin their conversation by discussing the risks of generative AI. Large language models have overlapping risks with older models such as algorithmic biases, but they also come with new risks such as hallucinations, privacy risks, and security risks.
Many companies want to implement AI, but those same companies recognize that they are not prepared for its risks. Susannah helps teams create AI governance plans that protect against risks without holding them back. She notes that it is not possible or practical to eliminate all risks, and that part of building a good strategy is allowing for low-risk use cases.
Later in the conversation, Maribel and Susannah dive into how Credo AI works with organizations to implement responsible governance. They also discuss the EU AI Act, which will shape AI governance in the years to come. Last, Susannah shares her predictions for the future of AI implementation and AI governance.
Visit Maribel Lopez’s Website: https://www.lopezresearch.com/
Follow Maribel Lopez on X/Twitter: https://x.com/maribellopez
Subscribe to Maribel Lopez on YouTube: https://www.youtube.com/c/MaribelLopezResearch
Follow Maribel Lopez on LinkedIn: https://linkedin.com/in/maribellopez/
Follow Susannah’s LinkedIn: https://www.linkedin.com/in/susannah-shattuck/
Follow Susannah’s Twitter: https://x.com/shshattuck?lang=en
Credo AI LinkedIn: https://www.linkedin.com/company/credo-ai/
Credo AI Twitter: https://x.com/credoai?lang=en
Episode Summary:
In this episode, Maribel Lopez speaks with Five9’s CTO and Head of AI Jonathan Rosenberg on AI’s potential in the Customer Experience (CX) and Contact Center as a Service (CcaaS) space. Currently, customers are often unsatisfied with chatbot communication services at contact centers. However, AI’s increasing generative capabilities show potential for exciting future applications.
Key Themes:
Maribel and Jonathan begin by discussing the current state of AI in CcaaS, and how many customers are unsatisfied with their experiences with automated calls. Contact centers have long attempted to automate aspects of the CX experience, first with DTMF and later with directed dialogue.
Unlike these technologies, generative AI has seen widespread adoption. Consumer familiarity with artificial intelligence will lead to them understanding how to interact with generative AI over the phone. Jonathan and Maribel also discuss their predictions for how AI will impact jobs in at contact centers. Jonathan believes that jobs will change, but they will not disappear.
Last, Jonathan defines open platforms and explains how their unique features allow for useful CX capabilities. The future of AI in CX depends on how quickly companies eliminate AI hallucinations. Once models overcome this obstacle, Jonathan predicts that AI will see wide adoption in the CX space.
For detailed show notes, navigate using the time stamps below:
Follow Jonathan Rosenberg on LinkedIn: https://www.linkedin.com/in/jonathanrosenberg1/
Follow Jonathan Rosenberg on X/Twitter: https://x.com/jdrosen2
Read Jonathan Rosenberg’s articles in the Forbes Technology Council: https://www.forbes.com/councils/forbestechcouncil/people/jonathanrosenberg/
Read the Broken Earth series: https://www.amazon.com/Broken-Earth-Trilogy-Season-Obelisk/dp/031652719X
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, the challenges and opportunities it presents, and the role of innovation and regulation in shaping responsible AI adoption.
Speakers:
Maribel Lopez, Lopez Research
Karthik Bharathy from Amazon SageMaker
Heather Gentile from IBM Watsonx.Governance
Kush Varshney from IBM Research.
Key themes:
This panel discussed the necessity for organizations to manage data across hybrid multi-cloud environments while ensuring robust governance is discussed. Gentile highlighted the strategic importance of AI governance for organizations aiming to align AI adoption with their ethics, culture, and values.
The panel discussed how companies are shifting from siloed AI projects to enterprise-wide governance frameworks driven by generative AI innovations as well as the need to closely follow changes in the regulatory landscape. Bharathy discusses the collaboration between AWS and IBM Watson to integrate governance tools with AI and ML workflows. This integration aims to simplify risk management and regulatory compliance for customers using generative AI. Collaboration between AWS and IBM is seen Varshney shared insights on ongoing research in AI governance, particularly in addressing issues like hallucination in generative AI and developing algorithms for regulatory compliance.
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 Product Management, IBM Data and AI Software. (Learn more about Watson X here. https://www.ibm.com/watsonx)
Heather Gentile is Director of Product in IBM’s Data and AI software division. Heather focuses on opportunities to apply AI technologies to develop innovative solutions for IBM’s watsonx.governance and governance, risk and compliance portfolio. She works with organizations to enable responsible, transparent and explainable AI.
Heather has a passion for innovation and works with IBM’s technology and design teams to lead user experience workshops to solve for AI governance, risk and compliance challenges. Her experience expands across financial services, regulatory agencies, and other highly regulated industries.
Prior to joining IBM, Heather was responsible for overseeing the compliance analytics division of regulatory solutions at Wolters Kluwer. She received her undergraduate degree from Bryant University in Business Administration and her MBA from the University of Massachusetts.
Social Links
You can follow Heather at: https://www.linkedin.com/in/heathergentile/
You can follow Maribel at:
X/Twitter: https://twitter.com/maribellopez
LinkedIn: https://www.linkedin.com/in/maribellopez
YouTube: https://www.youtube.com/c/MaribelLopezResearch
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 on integrating AI to enhance customer and agent experiences.
Episode Highlights:
The Evolution of AI in Contact Centers: Understand how AI has transitioned from automating basic tasks to powering sophisticated, conversational interactions.
Special purpose AI vs. General AI: A discussion on how organizations need AI that's purpose-built for CX
Generative AI vs. Traditional AI: Discover the differences between these two AI types and their unique roles in improving customer experiences and operational efficiency.
AI's Impact on the Workforce: Carmit DiAndrea debunks common misconceptions about AI, highlighting new career opportunities emerging within the industry.
Bio:
Carmit DiAndrea, Director, AI Data Management, NICE
Carmit DiAndrea is a contact center, analytics, and AI expert with over 20 years of experience translating customer feedback, operational and contact center data into business strategies that transform organizations.
In her role at NICE, Carmit is responsible for leveraging NICE's significant interaction data assets to develop new Conversational AI and Generative AI-powered digital solutions, furthering NICE's dominance in the Digital Customer Experience space. Her previous experience includes leadership roles at Blue Shield of California, Verint Systems, Spectrum/Time Warner Cable, Concentra, and TPG TeleManagement.
Carmit is also an educator, teaching statistics, research methods, and algebra as an adjunct instructor at Kaplan and National American Universities.
Social Links
You can follow Carmit at: https://www.linkedin.com/in/carmitd/
You can follow Maribel at:
X/Twitter: https://twitter.com/maribellopez
LinkedIn: https://www.linkedin.com/in/maribellopez
YouTube: https://www.youtube.com/c/MaribelLopezResearch
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 the physical industrial realm, understanding what purpose-built AI looks like for the embedded edge market. We also talk about the potential of large multimodal models (LMM) in shaping the future of AI on the edge. Learn how these models promise enhanced accuracy and efficiency, along with reduced costs and power consumption. The episode wraps up with recommendations for further learning, including the book "Good to Great," which offers valuable insights into scaling and navigating the technology industry.
Bio
Krishna Rangasayee is Founder and CEO of SiMa.ai. Previously, Krishna was COO of Groq and at Xilinx for 18 years, where he held multiple senior leadership roles including Senior Vice President and GM of the overall business, and Executive Vice President of global sales. While at Xilinx, Krishna grew the business to $2.5B in revenue at 70% gross margin while creating the foundation for 10+ quarters of sustained sequential growth and market share expansion. Prior to Xilinx, he held various engineering and business roles at Altera Corporation and Cypress Semiconductor. He holds 25+ international patents and has served on the board of directors of public and private companies.
Social Links
You can follow Krishna at: https://www.linkedin.com/in/krishnarangasayee/
You can follow Maribel at:
X/Twitter: https://twitter.com/maribellopez
LinkedIn: https://www.linkedin.com/in/maribellopez
YouTube: https://www.youtube.com/c/MaribelLopezResearch
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 clinician experience.
Heather's Bio:
Heather has a PhD from Purdue, where she focused on developing machine learning methods for the computer security problem of anomaly detection. She's worked at the MIT AI Lab (now CSAIL) working with Leslie Kaelbling on reinforcement learning and decision-theoretic planning, Markov decision processes, and the tradeoff between stochastic and deterministic planning.
In 2002, she moved to the University of New Mexico as an assistant professor in the Department of Computer Science. There she worked on a number of application areas of ML, including the bioinformatics of RNA interference, genomics, and computational neuroscience (inference of brain activity networks from neuroimaging data). Much of that work involved Bayesian networks and dynamic belief networks.
In 2008, she was promoted to associate professor at UNM and was granted tenure.
In 2012, she moved from academia to industry, joining Google in Cambridge, MA. working on Knowledge Graph, Google Books, Project Sunroof, and Ads Latency.
In 2017, she joined athenahealth to lead a Data Science team working to use athena's immense store of healthcare data to improve healthcare experiences for clinicians and patients.
Social Links
You can follow Heather at: https://www.linkedin.com/in/terranlane/
You can follow Maribel at:
X/Twitter: https://twitter.com/maribellopez
LinkedIn: https://www.linkedin.com/in/maribellopez
YouTube: https://www.youtube.com/c/MaribelLopezResearch
Hashtags: #AI, #Healthcare #PatientExperience
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 experience solutions, Arun believes organizations need to combine technology at scale with the power of human insight and empathy to develop meaningful, relevant, and experience-based relationships with constituents. He has led teams for some of the top agencies in the world including Wunderman Thompson, and Publicis Sapient. Arun has helped build multi-channel touchpoints and direct-to-consumer strategies for brands like The American Red Cross, Bose, Carnival, Newell Brands, and TD Bank.
Social Links:
You can follow Maribel at:
X/Twitter: https://twitter.com/maribellopez
LinkedIn: https://www.linkedin.com/in/maribellopez
YouTube: https://www.youtube.com/c/MaribelLopezResearch
Hashtags: #AI, #BusinessStrategy #AIEthics #AIGovernance
Here is a link to the Hero Digital AI Readiness report: https://herodigital.com/insights/ai-readiness-report/
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 Networks calls an AI-native platform.
Bob Friday’s Bio:
Bob Friday, Chief AI Officer and CTO, Juniper Networks
Bob is the co-founder of Mist Systems and currently serves as the Chief AI Officer at Juniper Networks and CTO of Juniper’s enterprise business following Juniper’s acquisition of Mist. Bob started his career in wireless at Metricom (Ricochet wireless network) developing and deploying wireless mesh networks across the country to connect the first generation of Internet browsers. After Metricom, Bob co-founded Airespace, a start-up focused on helping enterprises manage the flood of employees bringing unlicensed Wi-Fi technology into their businesses.
After Cisco’s acquisition of Airespace in 2005, Bob became the VP/CTO of Cisco enterprise mobility and drove mobility strategy / investments in the wireless business (e.g. Navini, Cognio, ThinkSmart, Phunware, Wilocity, Meraki) and product / industry innovation (e.g. CMX, Cleanair, HS2.0 / Passpoint, indoor location). He holds more than 15 patents.
Social Links
You can follow Bob at: https://www.linkedin.com/in/bobfriday/
You can follow Maribel at:
X/Twitter: https://twitter.com/maribellopez
LinkedIn: https://www.linkedin.com/in/maribellopez
YouTube: https://www.youtube.com/c/MaribelLopezResearch
Juniper Social Links:
X/Twitter: https://twitter.com/JuniperNetworks
LinkedIn: https://www.linkedin.com/company/juniper-networks/
Facebook: https://www.facebook.com/JuniperNetworks
Hashtags: #JuniperNetworks #AI, #AIOps, #datacenter
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 product launches that span AI chips, models and services. There is also a video recording of the podcast from the show floor that can be found on her YouTube channel at www.youtube.com/@MaribelLopezResearch
You can follow Maribel on LinkedIn at https://www.linkedin.com/in/maribellopez/
And on X at https://twitter.com/MaribelLopez
@awscloud #reinvent #GenAI #cloudcomputing
The podcast currently has 37 episodes available.