The AI with Maribel Lopez (AI with ML) 144w1g

Guest Profile Liz Centoni brings over 25 years of experience at Cisco where she currently leads a team of 20,000+ people dedicated to helping customers maximize the value of their technology investments. She also serves on the boards of Mercedes-Benz and Workday. Episode Highlights Cisco's Unique Position in the AI Landscape Liz outlines Cisco's three-pillar approach to AI:Investment in back-end AI networks with hyperscalers Enterprise deployment of secure AI use cases Meeting increased capacity requirements for both private and public front-end cloud networks Recent partnership with NVIDIA to accelerate AI adoption and simplify building AI-ready data centers Transforming Customer Experience Vision for customer experience: personalized, proactive, and predictive Goal: Make every customer "feel like they are our only customer" Leveraging data across tech stacks to break down silos and deliver proactive experiences Using AI to reduce cognitive load and workplace friction for employees AI Renewals Agent: A Case Study in Predictive AI tly developed with Mistral AI and announced in February 2025 Consolidates data from 50+ signals and sources (both structured and unstructured) Provides real-time sentiment analysis by incorporating customer data Expected to reduce time spent on renewal proposals from 40% to less than 5% The Future of Agentic AI Moving from AI as a tool to AI as a teammate Current focus on assisting and augmenting tasks, not replacing roles Human oversight remains critical for complex customer networks Evolution from reactive to proactive customer care Impact on Jobs and Work Expectation that everyone needs baseline AI skills Historical pattern of rebalancing versus complete replacement Focus on using AI to eliminate busy work and reduce cognitive load Importance of emotional intelligence and empathy in areas where AI still falls short Closing Thoughts Liz's definition of success: "Customers walk up and say, 'You really know me better than I know myself'... and they feel they can't live without three things: Cisco's security, Cisco's networking portfolio, and Cisco services."

Summary In this conversation, Maribel Lopez and Jeetu Patel discuss the transformative potential of AI in business, the challenges organizations face in adopting AI, and the importance of security in AI applications. They explore the need for visibility, validation, and guardrails in securing AI, the rise of specialized AI models, and the future of AI agents in automating workflows. Patel emphasizes Cisco's commitment to innovation and the urgency for companies to embrace AI to remain relevant in a rapidly evolving landscape. Takeaways AI is transforming business strategies across industries. CEOs are optimistic about AI but feel unprepared. Security practitioners face significant staffing shortages. AI can both complicate and simplify security challenges. Organizations must secure AI models and use AI for defense. Visibility, validation, and guardrails are essential for AI security. Specialized AI models can be more effective and cost-efficient. AI agents will enhance productivity and workflow automation. Cisco is innovating rapidly and operating like a startup. Companies must embrace AI to thrive in the future. Chapters 00:00 The Exciting Intersection of AI and Business 02:47 Challenges in AI Adoption and Security 06:34 Securing AI: Visibility, Validation, and Guardrails 12:47 The Rise of Specialized AI Models 18:00 The Future of AI Agents and Automation 25:31 Cisco's Transformation and Innovation 31:10 Embracing AI: A Call to Action Follow us at:  Jeetu Patel  https://www.linkedin.com/in/jeetupatel/ Maribel Lopez https://www.linkedin.com/in/maribellopez/

In this episode, Maribel speaks with  Shub Bhowmick, the CEO and Co-founder of Tredence on how its using AI internally and externally. Bhowmick also provides advice on what's important for enterprise buyers looking to leverage AI.  Takeaways The shift from proof of concept to proof of value is crucial for businesses. AI is enabling organizations to achieve more with fewer resources. Agentic solutions are becoming increasingly relevant in various industries. Internal innovations at Treatance are focused on developing interconnected AI agents. Organizations must prepare for a future where they need to do more with less. Crawl, walk, and run is a practical approach to AI implementation. Creating a robust monitoring and operations foundation is essential. Small language models can be more effective and cost-efficient than larger models. AI can significantly enhance productivity and creativity in the workplace. Health and personal well-being are important considerations in a fast-paced professional environment. Sound Bites "Proof of value is the new proof of concept." "AI is enabling you to do more with less." "Agents are like smart interns, very analytical." "The speed of AI is moving much faster." "AI can 10x your productivity." "Crawl, walk, and run with AI implementation." "Small language models are the new thing." Chapters 00:00 Introduction to Treatance and AI Trends 07:28 Emerging Use Cases in AI 11:46 Real-World Applications of AI in Business 18:33 Internal Innovations at Treatance 30:33 Advice for Organizations on AI Implementation

Summary In this conversation, Maribel Lopez speaks with Markus Nispel about the integration of AI in networking solutions, particularly at Extreme Networks. They discuss the evolution of AI capabilities, the importance of data governance, and the role of AI in enhancing operational efficiency and security. Markus emphasizes the need for trust in AI systems and the potential of agentic AI to transform networking operations. The discussion also touches on the challenges of skill development and the future of AI in the industry.  Extreme Networks, trusted by tens of thousands of customers globally, delivers AI-native cloud networking solutions that seamlessly connect people, applications, data, and devices. Info on Extreme Networks Platform One: https://www.extremenetworks.com/platform-one and an explainer video https://vimeo.com/1036922077/58472f1411?ts=0&share=copy.  Takeaways  AI has been integrated into networking solutions for measurable business value.  Data quality is crucial for effective AI implementation.  Generative AI can significantly reduce the time for knowledge acquisition.  Agentic AI combines various capabilities for enhanced networking solutions.  Trust and transparency are essential for AI adoption in enterprises.  AI can optimize security policy configurations and reduce attack surfaces. The orchestration of agents is vital for achieving automation in networking. AI's role in skill development is critical for new employees. The future of AI in networking will involve more autonomous systems.  Continuous loops enhance trust in AI systems.  Sound Bites "AI allows for a consistent experience." "Data governance is critical for AI systems." "The orchestration of agents is key to automation." "Trust is essential for AI adoption in enterprises." "The future is dynamic with AI advancements."  Chapters  00:00 Introduction to AI in Networking 03:40 Evolution of AI Integration in Networking Solutions 06:54 Understanding AI's Unique Positioning in Networking 10:18 AI's Role in Skill Development and Knowledge Acquisition 13:02 Defining Agentic AI and Its Current Capabilities 16:54 The Importance of Orchestration in AI Systems 19:45 Addressing Trust and Resistance in AI Adoption 23:19 Demonstrating ROI from AI Implementations 25:29 Future of AI: The Rise of Agentic Systems 

In the category of better late than never, we found the missing recording file with Vijay. Enjoy! Show Notes: In this episode of "AI with Maribel Lopez," host Maribel Lopez sits down with Vijay Sundaram, Chief Strategy Officer at Zoho, at Zoho Day 25 in Austin, Texas. They discuss Zoho's strategic evolution and approach to AI. Key Highlights: Zoho's Market Evolution: Vijay explains how Zoho has expanded from primarily serving small and medium businesses to increasingly being adopted by larger enterprise customers worldwide. This evolution has happened naturally as their products became more sophisticated and larger customers discovered them. Enterprise Adaptation Challenges: To serve enterprise customers, Zoho had to make changes in three areas:Technology (their strength as a product-driven company) Operations (building expertise in management, solutions consulting, etc.) Transitioning from an inbound to outbound business model AI Implementation Strategy: Vijay clarifies that while generative AI has recently captured public attention, Zoho has been implementing various AI technologies (machine learning, NLP, video recognition) for over a decade. Much of this AI has been "headless" - working behind the scenes in applications rather than through conversational interfaces. Three Levels of AI: Zoho approaches AI implementation through:Contextual AI within business applications Interactive AI for specific purposes Expert-level insights that enable non-experts to gain valuable business intelligence Platform Approach: By integrating applications and creating a comprehensive platform, Zoho can leverage data across domains (finance, sales, HR, operations) to provide more valuable AI-driven insights. AI Market Shift: Vijay predicts that AI differentiation will increasingly move from foundational models to the application layer, where companies like Zoho can add value through their access to business data across domains. Privacy and Security: Zoho maintains a strong stance on privacy (no trackers on their websites) and has built a "trust layer" into their platform to ensure proper data access controls for AI interactions.

Episode: AI with Maribel Lopez featuring Liz Centoni, EVP & Chief Customer Experience Officer at Cisco Guest Profile Liz Centoni brings over 25 years of experience at Cisco where she currently leads a team of 20,000+ people dedicated to helping customers maximize the value of their technology investments. She also serves on the boards of Mercedes-Benz and Workday. Episode Highlights Cisco's Unique Position in the AI Landscape Liz outlines Cisco's three-pillar approach to AI:Investment in back-end AI networks with hyperscalers Enterprise deployment of secure AI use cases Meeting increased capacity requirements for both private and public front-end cloud networks Recent partnership with NVIDIA to accelerate AI adoption and simplify building AI-ready data centers Transforming Customer Experience Vision for customer experience: personalized, proactive, and predictive Goal: Make every customer "feel like they are our only customer" Leveraging data across tech stacks to break down silos and deliver proactive experiences Using AI to reduce cognitive load and workplace friction for employees AI Renewals Agent: A Case Study in Predictive AI tly developed with Mistral AI and announced in February 2025 Consolidates data from 50+ signals and sources (both structured and unstructured) Provides real-time sentiment analysis by incorporating customer data Expected to reduce time spent on renewal proposals from 40% to less than 5% The Future of Agentic AI Moving from AI as a tool to AI as a teammate Current focus on assisting and augmenting tasks, not replacing roles Human oversight remains critical for complex customer networks Evolution from reactive to proactive customer care Impact on Jobs and Work Expectation that everyone needs baseline AI skills Historical pattern of rebalancing versus complete replacement Focus on using AI to eliminate busy work and reduce cognitive load Importance of emotional intelligence and empathy in areas where AI still falls short Closing Thoughts Liz's definition of success: "Customers walk up and say, 'You really know me better than I know myself'... and they feel they can't live without three things: Cisco's security, Cisco's networking portfolio, and Cisco services."

Summary In this conversation, Maribel Lopez speaks with Ivana Bartoletti, the Global Privacy Chief Officer at Wipro, about the intersection of AI, privacy, and governance. They discuss the transformative impact of generative AI, the importance of embedding ethics in AI development, and the role of synthetic data in mitigating bias. Ivana also shares insights on the Audrey initiative aimed at promoting human rights in the digital age and highlights common mistakes in AI regulation. The conversation concludes with a positive outlook on the collaborative efforts to build fair and responsible AI. Takeaways Public trust is essential to harness AI's benefits. Generative AI is transforming how we live and work. Privacy is a crucial collective good that must be respected. Ethics in AI goes beyond compliance with laws. AI should retain human agency and decision-making. Bias in algorithms can perpetuate social inequalities. Synthetic data can help mitigate bias but has limitations. Transparency in data usage is vital for equity. AI regulation should not be seen as opposing innovation. Collaboration across sectors is key to responsible AI governance. You can follow Ivana here: https://www.linkedin.com/in/ivana-bartoletti-77b2b29/ You can follow me here:  https://www.linkedin.com/in/maribellopez/ https://www.youtube.com/@AIwithMaribelLopez https://x.com/MaribelLopez

Episode Overview: Maribel Lopez speaks with Tim Marklein, CEO of Big Valley Marketing, about how AI is changing marketing and communications. The conversation explores the practical applications, limitations, and future of AI in the marketing landscape. Guest: Tim Marklein - CEO of Big Valley Marketing, an award-winning consulting firm that helps technology companies grow and win in various markets including software infrastructure, AI, cybersecurity, digital health, and supply chain. Key Topics Discussed: Current state of AI adoption in marketing: Despite surveys showing varied adoption rates, most professionals are still "dabbling" with AI rather than fully integrating it into workflows Three key areas where AI is proving valuable:As a search alternative for market insights For pattern analysis and audience research For writing and editing assistance The continued importance of original thinking: AI can't replace a company's unique point of view, especially in B2B contexts where buyers want to understand a company's beliefs and perspectives Brand differentiation concerns: Discussion about whether widespread AI adoption might lead to homogenized marketing content and brand positioning AI for audience targeting: How AI can help with audience research but cannot replace strategic decisions about which audiences to prioritize Workflow integration challenges: The disconnect between the ideal AI tools and those integrated into existing workflows AI and marketing metrics: How AI primarily makes it easier to capture existing metrics rather than creating new ones Authenticity and ethics: The research showing that simply disclosing AI use doesn't build trust when 80% of people don't trust AI to begin with Appropriate vs. responsible use: The importance of communicating who is using AI and why, not just how it's being used Skills development for the AI era: The value of experimentation and curiosity over becoming a dedicated "prompt engineer" You can follow Tim Marklein, the Founder and CEO, Big Valley Marketing ( bigvalley.co) at LinkedIn: https://www.linkedin.com/in/tmarklein/ X: @tmarklein You can follow me at: https://www.linkedin.com/in/maribellopez/ https://www.youtube.com/@AIwithMaribelLopez https://x.com/MaribelLopez

Episode Summary In this episode, Maribel Lopez interviews Kate Soule, Director of Technical Product Management for IBM's Granite products. They discuss IBM's third-generation AI models, their focus on efficiency and enterprise readiness, and the latest advancements including vision capabilities and reasoning features. Guest Kate Soule - Director of Technical Product Management for IBM's Granite products Key Topics & Timestamps 00:04 - Introduction Maribel introduces the show and Kate Soule Brief overview of IBM Granite as fit-for-purpose, open-source enterprise AI models 00:48 - What is IBM Granite? Designed as core building blocks for enterprises building with generative AI Focus on efficiency with smaller model sizes Monthly innovation updates to keep pace with rapidly evolving field 02:19 - Understanding AI Reasoning Explanation of reasoning capabilities in AI models How allowing models to generate more text at inference time can improve performance Cost/benefit tradeoffs of reasoning features 03:13 - Enterprise AI Model Selection Criteria Moving beyond "one model to rule them all" thinking Importance of fit-for-purpose models Why smaller models can be customized more easily Trust and transparency considerations 05:38 - AI Governance and Safety How to evaluate models for governance requirements Safety evaluations and benchmarks as table stakes Systems-based approach to safety with guardrails IBM's Granite Guardian and protection mechanisms 08:55 - Benefits of Smaller Models Why size matters: cost, latency, and customization advantages Smaller models are easier to customize and require less computing power IBM's transparent approach to training data 10:13 - Future of AI Evaluation Performance per cost becoming the key evaluation metric The growing importance of flexibility in model selection How the "efficient frontier" between cost and performance will differentiate providers 12:41 - IBM's Vision Models IBM's pragmatic enterprise focus for multimodal capabilities Vision understanding (image in, text out) for practical business use cases Specialization for documents, charts, and dashboards Delivering powerful capabilities in only 2 billion parameters 15:25 - Understanding Model Size Context Evolution from millions to billions of parameters Practical considerations of deploying different-sized models Finding the right cost-benefit trade-off for specific use cases

This conversation explores the transformative impact of AI on business, particularly focusing on Zoho's evolution as it aims to enhance its enterprise offerings. The speakers discuss the importance of understanding customer data, the global dynamics of AI adoption, and Zoho's unique culture that fosters innovation. They also touch on the future of enterprise software and the integration of AI, emphasizing the need for a holistic view of customer engagement. Takeaways: Massive interest in AI is changing markets and valuations. Tools are only as effective as their application in serving customers. Zoho is aggressively moving into the enterprise space with a focus on AI. Integration of data is crucial for a comprehensive customer view. The concept of customer 360 is often misunderstood. Global market dynamics affect how AI is adopted in different regions. Zoho's culture promotes innovation and responsiveness to customer needs. AI will soon be an integral part of enterprise operations. Not every enterprise is a fit for Zoho's offerings. The future of enterprise software will be driven by AI and data integration. Chapters 00:00 The Rise of AI and Its Impact on Business 01:59 Zoho's Evolution and Enterprise Focus 06:10 Understanding Customer Data and Integration 10:08 Global Perspectives on AI and Market Dynamics 13:54 Zoho's Unique Culture and Approach to Innovation 21:56 Future of Enterprise Software and AI Integration 

In this episode, Maribel Lopez of Lopez Research interviews Kevin McInturff Chief Technology Officer of Logility. We explore the transformative impact of artificial intelligence on supply chain management and the key considerations for successful implementation. Our discussion covers critical insights for business leaders and practitioners navigating the AI landscape. Key Discussion Points Throughout our conversation, we delve into how artificial intelligence is fundamentally reshaping supply chain operations. The democratization of information through generative AI has opened new possibilities, though organizations continue to grapple with data integration challenges. We examine the critical balance between innovation and responsibility, particularly regarding ethics and data security in AI deployment. The discussion reveals how real-world applications of AI are enhancing decision-making processes across supply chain operations. We explore emerging AI technologies that are revolutionizing forecasting methods, while acknowledging the ongoing evolution of ROI measurement for AI investments. Building trust in AI systems emerges as a fundamental requirement for successful adoption. Our conversation emphasizes the importance of practical experimentation with AI solutions. Organizations must understand the interplay of different roles and technical languages in AI implementation. This approach allows companies to develop effective, tailored solutions while maintaining ethical considerations and data security. ## Episode Resources If you'd like to learn more about the topics discussed in this episode, follow me on social media at Youtube for the video version of this podcast and LinkedIN and X (Twitter) for AI research updates and insights. Kevin McInturff Expert Bio: Kevin McInturff, Chief Technology Officer of Logility, has 20+ years of experience in product and engineering roles. He spent his early career as an engineer on a plant floor working in industrial automation and plant information systems before moving into enterprise SaaS software. Under his leadership Logility has accelerated the pace of innovation and focused on delivering high quality product, a superior experience and solutions that enable supply chain organizations to anticipate disruptions as opportunities to reap competitive advantages. He is ionate about understanding and meeting client needs with innovative solutions while building great engineering and product culture within his team.   Outside of his work with Logility he actively volunteers with the 501st Legion a non-profit who partners with other organizations to brighten the lives of the less fortunate and to bring awareness to positive causes on both a local and global scale. Kevin is a lifelong learner, an artist, and avid practitioner of the art of tsundoku.   He has earned a BS in Computer Science from the Georgia Institute of Technology, and a Masters of Science, Management of Technology from Georgia Tech Scheller College of Business. Kevin lives in Smyrna, Georgia with his wife and three daughters. 

Maribel Lopez of Lopez Research hosted a podcast at AWS Reinvent, discussing QuickSight with ATracy Daugherty GM, QuickSight at Amazon Web Service and Travis Muhlestein, Chief Data and Analytics Officer at GoDaddy. QuickSight, a cloud-based BI tool, enables real-time data sharing and decision-making through dashboards, pixel-perfect reports, and Q for asking data questions. In the podcast, Muhlstein shares how QuickSight has transformed GoDaddy's approach from static dashboards to real-time, interactive data exploration and analysis, enabling more agile, data-driven decision-making across the organization. Follow the guests at: Maribel Lopez https://www.linkedin.com/in/maribellopez/ Travis Muhlestein, Chief Data and Analytics Officer at GoDaddy https://www.linkedin.com/in/travis-muhlestein/ Tracy Daugherty GM, QuickSight at Amazon Web Services https://www.linkedin.com/in/tracy-daugherty-28a1014/

AWS Re:Invent Announcement Highlights With Lopez Research and ZK Research

Every industry, including the quick service restaurant (QSR) market, plans to transform its business with artificial intelligence (AI). Several years ago, Wendy's embarked on its AI journey, leveraging cloud services and generative AI to enhance employee and customer experiences. The drive-thru experience presents numerous challenges for QSR restaurants due to the complexities of menu options, limited-time offers, special requests, and ambient noise.  Wendy's chose to tackle the drive-thru experience with AI because 75 to 80 percent of Wendy's customers choose the drive-thru as their preferred ordering channel. The company saw a tremendous opportunity to improve the customer experience by creating a seamless ordering experience using AI automation in the drive-thru.  In an interview with Lopez Research, Wendy's CIO Matt Spessard shared how its AI program had advanced over the past year and shared advice for other leaders looking to tackle AI within their business.

At Amazon Re:Invent, Maribel Lopez met with several industry analysts to discuss their perspectives on what happened at one of the industry's premier cloud computing and AI trade shows. https://reinvent.awsevents.com/  

The Shifting Enterprise Security Landscape a Conversation with Cisco's Tom Gillis

Episode Summary: In this episode, Maribel Lopez speaks with Dell’s Chief Technology Officer and Chief AI Officer John Roese about Dell’s enterprise AI technologies from their development to their future. Roese explains how the initial magical thinking around artificial intelligence has shifted into a more practical approach that aims to maximize the benefits of each implementation. He also discusses the emerging trends and ideas that he is seeing in the AI space. Key Themes: Maribel and John start by delving into enterprise AI and AI markets in general. John explains the types of AI markets and how enterprise AI differs from other applications. The conversation then moves into the challenges of AI and the steps that Dell is taking to address them.  Next, John and Maribel reflect on the near-universal reactive approach that companies took to AI two years ago and how parts of that approach backfired or fizzled out. While this technology could have been approached better, its widespread use has provided companies with a real world understanding of LLMs and their applications. Now, companies take a more practical approach to AI while continuing to innovate.  The key innovation that Roese highlights is agentic architecture. This technology differs from previous generative AI applications because it can operate autonomously and is highly specialized. Individual “agents” can have job descriptions that they are trained for much like a human being, and they can interact with each other as a human team would.  For detailed show notes, navigate the episode using the time stamps below: [1:26] Maribel introduces the guest of the episode, John Roese. Roese is the CTO and Chief AI Officer at Dell Technologies.  [1:59] The AI market is not a singular market – there is a traditional market, a training market, and an enterprise market. The enterprise market is very pragmatic in its applications.  [4:10] Maribel asks about the challenges businesses see in enterprise adoption. Early discussions of new AI technology treated it like magic. Now that we have real world use cases and a better understanding of the technology, Dell is able to have grounded conversations about AI applications with real impacts.  [7:48] Roesch explains the challenges that Dell is facing with AI. One of the challenges was determining where to prioritize as a company. Another is the process by which you develop application ideas. Dell had this issue when bringing ideas that were not fully formed to their legal team.  [11:44] No one got AI perfectly right. Almost universally, companies reacted at the technical level before looking at business priorities. Roese encourages companies to move toward a more thoughtful approach to AI technology. [13:36] Dell learned that its goal was to add in the minimum sufficient AI structure to address the maximum use cases. In Dell’s case, half of their use cases were related to converting proprietary data into generative outcomes. Creating one model to handle all of these cases is the most efficient approach.  [15:05] Maribel asks Roese about the trends Dell is seeing in AI. Roese points to the emergence of agentic architecture. The idea behind agentic architecture is that they are autonomously performing agents with very specialized purposes. They can be combined much like a team of human beings.  Follow John Roese: https://www.linkedin.com/in/johnroese/  Learn more about Dell’s AI solutions: https://www.dell.com/en-us/shop/scc/sc/artificial-intelligence  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/ 

Episode Summary: In this episode, Maribel Lopez speaks with Google Cloud Product Manager Bobby Allen about the current benefits and future possibilities of artificial intelligence in the context of Google’s AI services. They explore the flexibility of Googles services that sets them apart, the environmental impacts of LLMs in comparison with their predecessor NLMs, and how companies can take a human approach to AI to make peoples lives better. Key Themes: Maribel and Bobby begin by discussing Google’s AI services. Allen explains the wide variety of AI services offered by Google, which fall into three main categories: building AI, building with AI, and using AI. Most organizations are currently interested in using AI, and they have seen tangible benefits from doing so. Bobby refers to these benefits as the “four I’s”: insight, increase, improvement, and innovation. Companies that adopt AI can see increases in productivity, gain insights into large documents through AI summarization, and more. Ai also has growing applications in compliance and query creation to analyze large datasets. Last, Maribel and Bobby discuss the future of AI. Bobby points to a human-first future with a focus on the impacts of AI applications, including sustainability and marginalization. He believes that AI should solve real problems and male peoples lives better. Follow Bobby Allen: https://www.linkedin.com/in/ballen-clt/ Learn more about AWS: http://aws.amazon.com/ 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/ 

Episode Summary: In this episode, Maribel Lopez speaks with Qventus co-founder and CEO Mudit Garg. Mudit explains how automation can help patients receive efficient care and hospitals maximize their performance. Learn how Qventus is helping hospital systems cut down their “excess days,” why efficiency is essential to care, and Mudit’s predictions for the future of AI in healthcare. Key Themes: Maribel begins the episode by speaking with Mudit about how Qventus is changing the hospital system for the better. Mudit explains that AI can be extremely helpful for hospital coordination. There are many cases in healthcare where the patient and the hospital system are aligned in their goals, like booking a surgery for a patient, but istrative complexities make those goals difficult to accomplish.  Qventus bases its system on two crucial components – behavioral science and machine learning. Machine learning is a great tool for determining patterns for coordination and scheduling, but factoring human behavior is crucial to create a model that actually works. Mudit credits the success of Qventus to the combination of these factors.  Maribel and Mudit also discuss the future of artificial intelligence in hospitals. Many industries are adopting AI in a wide range of applications, but Mudit suggests that healthcare systems should focus in on perfecting technology that benefits both patients and hospitals. He also notes his interest in Ai’s potential for data siloing, which would cut down istrative work.    Follow Mudit Garg on LinkedIn: https://www.linkedin.com/in/gargmudit/  Learn more about Qventus: https://qventus.com/  Visit the 3Blue1Brown YouTube Channel: https://www.youtube.com/@3blue1brown  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/ 

Episode Summary: In this episode, Maribel Lopez speaks with Roni Jamesmeyer about the changing role of AI in healthcare. Roni Jamesmeyer, the the Senior Healthcare Marketing Manager for Five9, has over twenty years of experience in IT sales, giving her an understanding of the complexity of healthcare delivery. She focuses on Five9's healthcare strategy to help health systems, payers, and life sciences move their centers to the cloud and close the gaps in patient communications. Maribel and Roni discuss technological advancements in AI, different uses of AI in healthcare, and Roni’s research findings. Key Themes: Maribel and Roni open the episode by discussing the healthcare industry’s past attempts to improve the patient experience and how its goals have shifted. Currently, Roni is seeing healthcare companies working toward an omnichannel experience for their customers – meaning that they can interact over many communication channels.  AI is helping the industry move forward. Intelligent Virtual Agents (IVAs) improve operations in four major ways: security, patient experience, revenue generation, and reduced istrative backend work. Different companies may focus more on some of these categories than others, but all four functions are extremely important to the healthcare industry.  Roni also discusses her AI research findings. She found that AI tuning is crucial to improvement, allowing models to pick up and retain information. As these models are used, they become more personalized and more intelligent and can take on more work as a result. She also found that AI agents open up phone lines, allowing previously missed calls to be answered.  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://www.linkedin.com/in/maribellopez/  Learn More About Five9: https://www.five9.com/  AI in Healthcare: How AI Drives Value for Five9 Customers: https://www.five9.com/resources/ebook/how-ai-drives-value-healthcare-customers#:~:text=Partners-,AI%20in%20Healthcare%3A%20How%20AI%20Drives%20Value%20For%20Five9%20Healthcare,customer%20surveys%2C%20and%20analyst%20insight.  Attend Roni’s Webinar with Exact Sciences: https://www.five9.com/registration/2024/exact-sciences-webinar  Follow Roni Jamesmeyer on LinkedIn: https://www.linkedin.com/in/roni-jamesmeyer-5733461/