The AI with Maribel Lopez (AI with ML‪)‬ Maribel Lopez

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:
LinkedIn: https://www.linkedin.com/in/kumararun/Hero Digital author page: https://herodigital.com/insights/author/arunkumar/
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