In this episode, I interview Kevin McCartan, Senior IT Delivery Engineer at Musgrave, about how he leverages AI (Open AI's ChatGPT and Juniper Mist AI) to streamline network operations.
You can find a copy of the video here. https://www.youtube.com/watch?v=g1ZoMXn6c6M
Case studies here
Musgrave Stores Undergoes Transformation with AI-Native Network Enhancements
https://www.juniper.net/us/en/the-fee…
Three Steps on the AI Path to Retail Operational Zen
https://blogs.juniper.net/en-us/ai-na…
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 http://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
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 security and observability are evolving.
About Ken Exner
Chief Product Officer, Elastic
“Helping customers gain actionable insights from data is increasingly important in a world of ever-increasing volumes of data. At Elastic, I have the privilege of leading our cross-functional product teams. Nothing is more exciting than seeing engineering, product, and design teams working in rhythm to deliver great experiences for our customers. I am passionate about building customer-oriented solutions that balance flexibility and ease of use, and I don’t believe customers should have to compromise for either.”
Exner joined Elastic after three decades in various technology companies leading product and engineering teams. Most recently, he spent 16 years at Amazon Web Services (AWS), where he built and managed dozens of products used by millions of customers worldwide.
He holds a bachelor of science degree from the Haas School of Business at the University of California, Berkeley. He and his family live on the outskirts of Seattle, where they spend time with their pets, which include dogs, cats, chickens, goats, and alpacas.
Follow Ken at https://www.linkedin.com/in/ken-exner-b914542/
Follow Maribel at https://www.linkedin.com/in/maribellopez/
About Elastic
Elastic is a leading platform for search-powered solutions. Elastic understands it’s the answers, not just the data. The Elasticsearch platform enables anyone to find the answers they need in real-time using all their data, at scale. Elastic delivers complete, cloud-based, AI-powered solutions for enterprise security, observability and search built on the Elasticsearch platform, the development platform used by thousands of companies, such as well-known brands Uber, Slack, Microsoft, and more than 50% of the Fortune 500.
Elastic is a platform for search-powered solutions that helps everyone — organizations, their employees, and their customers — find what they need faster, while keeping applications running smoothly, and protecting against cyber threats.
The company offers three main product categories that include Elastic Enterprise Search, Observability, and Security solutions. Some of its customers include well known brands such as Uber, Slack, Microsoft, and thousands of others who rely on us to accelerate results that matter.
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 projects.
Jaime Meritt serves as Verint's Chief Product Officer. Jaime joined Verint in 2015 and is a key player in defining the company’s product and technology strategy, and a driving force for cloud and AI initiatives.
You can follow Jaime’s on LinkedIn at: https://www.linkedin.com/in/jaime-meritt-90aa19/
You can follow Maribel at: http://twitter.com/MaribelLopez and https://www.linkedin.com/in/maribellopez/
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 cloud. In this podcast, I speak with Intel's Sachin Katti about changes in the market to support AI anywhere and everywhere.
Bio: Sachin Katti is senior vice president and general manager of the Network and Edge Group (NEX) at Intel Corporation. He is responsible for driving technology and product leadership throughout the network to the intelligent edge.
Katti previously served as vice president and chief technology officer for NEX, a role responsible for technical strategy and vision across the group.
Prior to joining Intel in 2021, he served as the vice president of Telco & Edge Strategy at VMware, where he defined both the product and technology vision to capitalize on the cloudification of the network and edge.
Katti is a professor of electrical engineering and computer science at Stanford University. He is also the co-chair of the Technical Steering Committee for the O-RAN Alliance and was founding director of the xRAN Foundation before its merger with the O-RAN Alliance. Katti is co-founder and former CEO of Uhana (now part of VMware), which built a network AI platform to monitor and optimize mobile networks and applications. He previously co-founded Kumu Networks, which commercializes breakthrough research from his lab on full duplex radios.
Katti received his doctorate in electrical engineering/computer science from MIT in 2009.
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 unlocking value from AI and advice on how to improve AI implementations. We close the podcast with what's new and exciting in the space.
Her bio.
As an experienced Business and Technology leader across a wide range of system applications, system architecture, business development, and go-to-market strategies, she has delivered competitive solutions to Cloud, Enterprise and Embedded markets.
Kavitha has a masterful track record of building high performance teams that consistently deliver high quality products at an aggressive cadence. As an established leader in the semiconductor industry, Kavitha’s broad hardware and software proficiency enables her to deliver multiple successful products in ASICs, SOCs, FPGAs and servers across multiple process nodes.
Best known for leveraging her passion for building authentic customer relationships and coupling it with her technical engineering expertise, Kavitha brings best-in-class AI and Machine Learning solutions in training and inference across edge to cloud.
You can follow Kavitha here:
https://www.linkedin.com/in/kavitha-prasad-2b38737/
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 opportunity.
Relevant Blog: Wendy’s Unveils New Global Restaurant Design Standard
BIO:
Chief Information Officer
Kevin joined Wendy’s as our Chief Information Officer in 2020. In this role, he is responsible for all aspects of Wendy’s global technology efforts, including Consumer-facing Digital, Restaurant Technology, Enterprise Architecture and Technology, and Information Security.
Prior to joining the Company, Kevin served as Executive Vice President, Chief Information Officer at Domino’s Pizza, Inc. At Domino’s, he served on the executive leadership team and was responsible for developing and leading all domestic and international technology capabilities. Emphasis on technology innovation helped Domino's achieve more than half of all global retail sales in 2019 from digital channels, primarily online ordering and mobile applications.
He has been recognized in the Top 10 of Nation’s Restaurant News’ Power List for his technology and innovation leadership, overseeing the team that spearheaded digital innovations that changed the pizza landscape and have served as inspiration for the broader QSR category.
Kevin has more than 30 years of technology experience across multiple industries including automotive, hardware, software and retail. His tenure prior to Domino’s includes service as CIO and VP of Engineering for the Stanley Security Solutions division of Stanley Black & Decker; SVP & CIO, R.L.Polk & Co.; and Chief Technology Officer for a number of business units and platforms within the Ford Motor Company.
You’ll find the Son of Baconator in his favorites on the Wendy’s mobile app.
Kevin received his B.S. in Technology from Purdue University.
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 global lead of Talent & Organization/Human Potential at Accenture. Christie joined Accenture in 2020 to lead and expand the transformation offerings that address the complex change management challenges facing CEOs, C-suites and boards, and assumed leadership of global Talent & Organization/Human Potential in March 2021. In 2022, she became Accenture’s Executive Pride Sponsor, representing and promoting LGBTIQ+ equality at the highest level of the organization.
Previously, Christie was with Apple where she was the global vice president for Inclusion & Diversity (I&D), I&D business partners and I&D solutions. She managed the global expansion of the function and the team in all regions and countries where Apple had offices and retail stores. Her leadership at Apple was integral to iconic products such as Memoji, iPhone Camera and iOS software in multiple languages. In addition, at Apple, she was instrumental in the growth of female and underrepresented minorities, expansion of scalable solutions in recruiting, global pay equity and compensation, and development of leaders.
Prior to her role at Apple, Christie served as interim CHRO at Grail, a start-up cancer detection company, and was a principal with Deloitte Consulting. As a national Human Capital leader at Deloitte, she was responsible for working with global clients on their talent management, organizational design, workforce planning, compensation strategies, I&D and HR technology solutions. In this role, Christie led large-scale technology implementations, change management, risk and communication strategies.
She also has deep expertise in CEO consulting around global talent strategies, along with CEO succession and executive team structure, management and capability. As a strategist, she led new product offering strategies for Deloitte in the United States and global markets, including the development of customer strategy in BRIC (Brazil, Russia, India and China) and EMEA (Europe, Middle East and Africa) countries. As part of her strategic framework, she leveraged deep data analytics to drive predictive socioeconomic and political factors that would impact business and market strategies.
Her leadership in business development and expansion includes being the west region managing principal of Deloitte Consulting, where she led growth in consulting, technology, human capital and strategy. She also led Deloitte’s west region Life Sciences industry practice. Christie was part of the leadership team that drove expansion of Deloitte Consulting into China and greater APAC. Christie also was responsible for the founding and leadership of the Deloitte University Centers for Inclusion and Community Impact.
She is a frequently sought-after speaker on leadership, strategy, I&D, and people analytics. She has been covered by The New York Times, Wall Street Journal, Harvard Business Review, Fortune, Forbes and CNN. Christie has been recognized as a Most Influential Woman in San Francisco (2012-2015), Women to Watch from Diversity Magazine (2012), Top 50 Diversity Leader (2020) and a leader in Fast Company’s Queer 50 list (2021). She is a member of the Committee of 200 (C200) and World 50 Women.
Her recommendations:
https://mastersofscale.com podcast
Michael Gervais on Finding Mastery
“Radically Human: How New Technology is Transforming Business and Shaping Our Future” by Paul R. Daugherty and H. James Wilson.”
In this podcast we discuss the intersection of digital identity, security and artificial intelligence.
Joe Burton, Chief Executive Officer, Telesign
Joseph Burton is the CEO of Telesign. Before Telesign, he served as CEO of Plantronics (now Poly) from 2016 to 2020, after joining the company in 2011 as Chief Technical Officer and then serving as Chief Commercial Officer. He started his career in 1990 as a software engineer, was acquired into Cisco in 2001 and served as Cisco's CTO for Unified Communications until 2010. Burton specializes in digital transformation, growth acceleration, corporate and go-to-market strategies, and has extensive expertise in technology and product development. He was most recently a Senior Advisor to the management consulting company McKinsey & Company. He holds a Bachelor of Science in Computer Information Systems and completed the Stanford Executive program at Stanford University.
You can follow Joe at https://www.linkedin.com/in/joe-burton/ and Maribel at https://www.linkedin.com/in/maribellopez/ and @MaribelLopez
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 Chief Revenue Officer at Groq, a startup known for accelerating systems with real-time artificial intelligence and high performance computing solutions. Michelle is a results-oriented executive with 20+ years of experience leading and operating distribution and go-to-market functions in hyper-growth environments.
Known to be customer-obsessed and a “growth hacker,” Michelle joined Groq from Salesforce where she led Retail and Consumer Goods sales organizations focused on cloud strategy, strategic partnerships, ecosystem development, and revenue growth. Under her leadership, her teams shaped customer demand, scaled for rapid growth, and exceeded revenue targets year-over-year.
When Michelle is not working, she is hanging out in San Francisco with her husband, her teenage daughter, and her pandemic puppy. Michelle has traveled the world and is rumored to have hung out with gorillas in the Congo, trekked the Himalayan mountain ranges, and studied yoga in India.
In this podcast, we talk about Groq's customer work, including the recent Army Validation Report conducted with Groq customer, Entanglement AI™, on their cybersecurity anomaly detection capability that runs on Groq hardware.
Report: https://apps.dtic.mil/sti/citations/AD1180411
Video: US Army Confirms 1000x Performant Cybersecurity Technology by Entanglement AI™ Run on Groq™ Hardware https://www.youtube.com/watch?v=oQ8V8kMxGfs
The book recommendation can be found here:
Turn the Ship Around! L. David Marquet https://davidmarquet.com/turn-the-ship-around-book/
You can follow Michelle at: https://www.linkedin.com/in/michelledonnelly/
You can follow Maribel at : https://www.linkedin.com/in/maribellopez/ & on Twitter @MaribelLopez
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/3CyRdyu
Assessing AI Security Risk: https://www.microsoft.com/security/blog/2021/12/09/best-practices-for-ai-security-risk-management/
Cassie Kozyrkov’s AI Lectures: https://www.youtube.com/playlist?list=PLRKtJ4IpxJpB_2ei8-5eWU31EZ6uSj9_s
Bill Schmarzo’s Big Data MBA Series: https://www.youtube.com/playlist?list=PLaQqEd_Tx4Ep1bOIFEzDJNXI9r64rjhXL
Ethical Machines by Reid Blackman (Book): https://www.reidblackman.com/ethical-machines/
A Beginner Guide on Synthetic Data: https://towardsdatascience.com/synthetic-data-key-benefits-types-generation-methods-and-challenges-11b0ad304b55
The Real Promise of Synthetic Data: https://news.mit.edu/2020/real-promise-synthetic-data-1016
Bio.
Sharon Mandell is the Senior Vice President and Chief Information Officer leading Juniper’s global information technology team. In this role, she leads the ongoing enhancement of the company’s IT infrastructure and applications architectures to support the growth objectives of the company. She and her team are also responsible for showcasing Juniper’s use of its technologies to the world. Prior to joining Juniper in 2020, Mandell was the Chief Information Officer for TIBCO Software and previously developed her leadership strategy at Harmonic, Black Arrow (now Cadent), Knight Ridder and the Tribune Company. Throughout her career, Mandell developed a level of expertise in cyber security and compliance, enterprise architecture and road mapping, data and analytics, digital transformation and customer service. She is passionate about supporting women in STEM careers and in her free time Mandell serves on various arts and education related boards. She also proudly serves on the computer science advisory board at Temple University. Mandell holds a bachelor’s degree in computer science from Temple University and an MBA from the University of Chicago Booth School of Business.
https://www.linkedin.com/in/sharon-mandell-juniper/ @sharonomink
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.