Bob, Principal Analyst at Cube Research, reveals fascinating insights on enterprise AI adoption from his latest research. His four-stage adoption model shows organizations progressing from basic alerts (21%) to recommendations (28%), manual automation (26%), and fully automated responses (24%), highlighting the journey as enterprises build trust in AI systems.

• Research shows enterprises slowly gaining comfort with AI adoption across four distinct stages
• An astonishing 97% of enterprises would switch vendors for better AI operations technology
• The 20-60-20 "maturity model" applies to AI adoption with leaders embracing full automation
• Getting started with AI is crucial for organizations to build experience and confidence
• Consumer AI applications like ChatGPT help enterprises get comfortable with the technology
• Network complexity increases the need for AI-driven operational efficiency
• To identify genuine AI solutions, look for vendors with 5-10+ years of experience
• Effective AI systems incorporate closed-loop feedback and leverage customer support insights

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Key points covered: 

Adoption of AI in enterprises: The discussion highlights the different stages of AI adoption in enterprises, ranging from generating alerts to fully automating responses. It emphasizes the importance of organizations becoming comfortable with AI technology and gradually transitioning from manual automation to full automation. 

Impact of AI on vendor selection: The conversation reveals that a significant percentage of enterprises are willing to switch vendors if they can get better AI operations technology. This underscores the value enterprises place on AI solutions and their potential to drive operational efficiency. 

Evaluating AI solutions: The document discussion provides insights into how enterprises can differentiate between marketing AI and real AI. Key indicators include the vendor's experience, the presence of a closed-loop system, and collaboration with customer support teams to ensure the efficacy of AI solutions. 

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Where to find Bob Laliberte? 

LinkedIn - https://www.linkedin.com/in/boblaliberte90/ 

Website - https://thecuberesearch.com/ 
 

Where to find Bob Friday? 

LinkedIn - https://www.linkedin.com/in/bobfriday/  

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Keywords:

AI adoption, comfort with AI, AI vendor, closed-loop system, customer support, collaboration

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To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

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YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, host Bob Friday welcomes Nagarjun Srinivasan, cofounder of Lune and former Juniper engineer, to explore how AI is transforming the music industry. From winning an innovation award at South by Southwest to developing AI-powered learning tools, Nagarjun shares insights on how technology is reshaping music education, creation, and performance.   

They discuss AI’s role in music transcription, gamification for skill building, the ethical challenges of AI-generated music, and the future of AI-assisted content creation. Tune in to discover how AI is making music more accessible and interactive for both beginners and professionals. 

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Key points covered:  

Winning at South by Southwest: How Lune started as an experimental prototype and went on to win an Innovation Award for Human-Computer Interaction 

AI for music learning: AI’s role in transcribing music, generating real-time feedback, and making learning more engaging through gamification  

Gamification and muscle memory: How AI-powered games help musicians develop dexterity and improve faster 

AI for content creators: How AI is streamlining music production, mixing, and mastering, making professional-quality content more accessible 

The copyright debate: The ethical and legal implications of AI-generated music, including lawsuits against companies using unlicensed music for training 

AI vs human musicians: Will AI ever replace human musicians, or will it always be a tool for enhancing creativity? 

The role of hardware in AI music: Why specialized hardware and data collection are crucial for advancing AI-driven music experiences 

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Where to find Nagarjun Srinivasan?   

LinkedIn - https://www.linkedin.com/in/nagarjun-srinivasan/  

Where to find Bob Friday?

LinkedIn - https://www.linkedin.com/in/bobfriday/  

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To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, Bob sits down with Claudionor Coelho, Chief AI Officer at Zscaler, to unravel the complexities and transformative potential of artificial intelligence in today's rapidly evolving technological landscape. They explore Claudionor's unique journey from semiconductor research to leading AI strategy in cybersecurity, providing insights into the crucial role of a Chief AI Officer and the imperative of securing AI in an interconnected world. Tune in as Bob and Claudionor discuss the shift from LLMs to AI agents, the challenges of hallucination, and the future of AI in various industries. 

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Key points covered: 

Claudionor's diverse AI journey: From early semiconductor work to leading AI strategy at Zscaler, highlighting his evolution in the field. 

The strategic role of a Chief AI Officer: Balancing external engagement and internal product development, and navigating AI's impact on business. 

The critical importance of secure AI: Addressing vulnerabilities and ensuring responsible AI use in an increasingly connected world.  

The shift to AI agents: Exploring the capabilities and implications of multi-agent systems beyond traditional LLMs.  

Data quality and hallucination challenges: Emphasizing the significance of data management and mitigating inconsistencies in AI outputs. 

AI's impact on cybersecurity: Leveraging AI for threat detection while securing AI systems themselves.  

Insights into the future of AI: Discussions on AI agents, potential advancements, and the ongoing debate surrounding AI singularity. 

Practical AI applications and tool selection: Real-world examples (including self-driving cars) and the importance of using the appropriate AI tools for specific tasks.

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Where to find Claudionor Coelho? 

LinkedIn - https://www.linkedin.com/in/claudionor-coelho-jr-b156b01/  

Where to find Bob Friday? 

LinkedIn - https://www.linkedin.com/in/bobfriday/  

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Keywords: 

AI accelerations, cybersecurity, predictive machine learning, anomaly detection, generative AI, AI agents, multi-agent systems, large language models, deep learning, machine learning, AI for security, secure AI 

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To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this special episode of Bob Friday Talks, recorded live from the Fontainebleau in Las Vegas, Bob Friday welcomes John Bollen, ServiceNow Industry Leader of Solutions, to discuss the transformative role of AI in hospitality and gaming. With years of experience in the industry, John shares insights on how AI and networking advancements are shaping guest experiences, employee operations, and the future of integrated resorts. 

The incorporation of AI in hospitality serves as a transformative catalyst, redefining operational efficiencies and guest experiences. Key developments in the AI in hospitality industry underscore the technology's pivotal role in automating services, personalizing interactions, and streamlining management processes within hotels. 

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Key points covered: 

Enhanced guest services: AI-driven solutions in hotels provide instant support and improved accessibility to services. 

Personalization: AI enables personalized guest experiences by analyzing preferences and behavior history. 

Operational efficiency: Through machine learning algorithms, hotels are optimizing logistics, inventory management, and staff deployment. 

Cost reduction: AI applications aid in scaling down operational expenses by automating routine tasks. 

Predictive analytics: Leveraging AI for predictive analysis enables the anticipation of future trends and customer needs, allowing for proactive strategy adjustments. 

Data management: Critical to the hospitality sector, AI-driven data management systems efficiently parse guest data, fostering enhanced marketing and service quality. 

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Where to find John Bollen?

 LinkedIn - https://www.linkedin.com/in/johnbollen/

Where to find Bob Friday?

LinkedIn - https://www.linkedin.com/in/bobfriday/

-----

Keywords 

ai in hospitality, ai in hospitality industry, ai in hotels 

-----

To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, host Bob Laliberte sits down with Juniper Networks' Chief AI Officer Bob Friday to explore the journey toward self-driving networks. As network complexity grows, organizations must adopt AI-driven solutions to ensure performance, reliability, and security. Bob Laliberte and Bob Friday break down the five stages of AI in networking, from data collection to full autonomy, and discuss the cultural and technological shifts required to build trust in AI-driven network operations.  

Tune in as they share real-world examples, insights on AI adoption, and how businesses can take the first steps toward a fully autonomous network. 

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Key points covered:  

The path to self-driving networks: Understanding the five stages of AI-driven networking and how they build trust in automation  

AI’s impact on network operations: How AI improves efficiency, speeds up issue resolution, and enhances user experiences 

Overcoming AI adoption challenges: Addressing skill gaps, trust concerns, and separating real AI from marketing buzz 

The shift to AI-driven IT: How IT teams can transition from traditional operations to AI-assisted decision-making  

Getting started with AI in networking: Why starting small with a production POC is the key to successful AI adoption 

The future of AI in networking: How AI will continue to evolve, making networks smarter and more autonomous 

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Where to find Bob Laliberte?  

LinkedIn - https://www.linkedin.com/in/boblaliberte90/ 

Website - https://thecuberesearch.com/ 
 

Where to find Bob Friday? 

LinkedIn - https://www.linkedin.com/in/bobfriday/  

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Keywords 

self-driving networks, juniper ai-driven enterprise, juniper self-driving network, ai-assisted decision-making, ai-powered network optimization, ai adoption in it, autonomous networking solutions, ai for proactive issue resolution, ai and machine learning in networking, ai-based network troubleshooting 

-----

To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, Bob chats with Ram Velaga of Broadcom about their pivotal role in the AI world. They explore the rise of custom AI accelerators, the GenAI boom, and how Broadcom enables massive AI clusters. They also discuss AI's practical applications within Broadcom, build vs buy strategies, the future of AI, and the networking revolution it's driving, both in data centers and at the edge.

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Key points covered:

Broadcom's role in AI: How Broadcom provides essential IP and networking solutions for AI development, despite not producing GPUs directly

The rise of custom accelerators: The trend of large cloud providers developing their own in-house accelerators for AI workloads 

Generative AI and LLMs: The current focus on building large language models and their potential impact on various industries 

AI within Broadcom: Exploring internal use cases for AI, including customer support, software development, and silicon design

Build vs buy for AI solutions: Strategies for leveraging existing LLMs while protecting proprietary data  

The future of AI: Ram's perspective on the timeline for achieving more advanced AI capabilities and the massive investments being made 

A new software paradigm: Discussion of potential shifts in software development practices due to AI 

Networking for AI: The critical role of high-speed, scalable networks in supporting distributed AI computing 

AI at the edge: Exploring use cases for AI processing at the network edge, including set-top boxes, Wi-Fi, and computer vision 

The multi-billion-dollar question: The potential for AI to generate significant revenue and the need for diverse applications

-----

Where to find Ram Velaga?

LinkedIn - https://www.linkedin.com/in/ram-v-124b79/ 

Where to find Bob Friday?

LinkedIn - https://www.linkedin.com/in/bobfriday/

-----

To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, Juniper Networks' Bob Friday is joined by Abhi Shamsundar, Director of Product Management, to explore how AI is revolutionizing network switching. They discuss how AI enhances communication, mitigates congestion, improves security, and optimizes user experiences in wired networks. They also delve into anomaly detection, self-driving networks, and the launch of Juniper's cutting-edge EX4000 AI-Native switch.

Abhi shares insights into leveraging cloud data for smarter decisions, automating network tasks to reduce downtime, and creating seamless user experiences. Discover how Juniper is shaping the future of network reliability and efficiency through AI-Native innovation.

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Key points covered: 

AI in network switching: Leveraging AI to detect anomalies, optimize packet flow, and enhance security in wired networks

Marvis data science: Using anomaly detection and event correlation to identify and address network issues proactively

Self-driving network progress: Automating network tasks like port resets and optimizing processes to minimize user disruptions

Introducing the EX4000 Switch: Juniper’s newest AI-Native, cloud-ready switch with faster boot times, advanced telemetry, and innovative design features

Inter-switch communication: How switches exchange data to improve network troubleshooting and reduce manual intervention

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Find the transcript and show notes at: 

Transcript - https://www.juniper.net/us/en/the-feed/topics/ai-and-machine-learning/the-q-and-ai-switching-to-intelligence-ai-redefines-network-ops.html

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Where to find Bob Friday?
LinkedIn - https://www.linkedin.com/in/bobfriday/

Where to find Abhi Shamsundar?
LinkedIn - https://www.linkedin.com/in/abhiramms/

-----

To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, Bob Friday sits down with Tim Fell, VP of Networking Technologies and Services at TELUS, to explore the transformative role of AI as the next evolution of automation in the telecommunications industry. Together, they delve into TELUS’ journey of integrating AI across its operations, the challenges of aligning data strategies, and the impact of AI on both internal efficiencies and customer experiences. From copilot tools for employees to machine learning applications in network optimization, discover how TELUS is leveraging AI to deliver better outcomes and redefine the future of connectivity.

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Key points covered:

AI in telecommunications: Elevates operations through data-driven insights, enhancing team efficiency

Customer and network optimization: AI for telecommunications serves as a strategic aid, mitigating network issues to deliver consistent service

Data-driven AI implementation: TELUS leverages network data for building scalable, reliable telecom AI solutions

Future of autonomous networks: AI in telco enables dynamic resource scaling for demand fluctuation, optimizing energy use 

Cultural integration of AI: TELUS embraces telecom AI, fostering innovation and creative problem-solving within its teams

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Find the transcript and show notes at:

Transcript - https://www.juniper.net/us/en/the-feed/topics/ai-and-machine-learning/the-q-and-ai-how-ai-is-shaping-the-next-generation-of-telecom.html

 -----

Where to find Tim Fell

LinkedIn - https://www.linkedin.com/in/tim-fell-872204a/

Where to find Bob Friday

LinkedIn - https://www.linkedin.com/in/bobfriday/ 

To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, Bob Friday sits down with Shan Palaniappan, SVP of Infrastructure at Sagent Technologies, to delve into the transformative role of artificial intelligence in financial services. From tackling the complexities of legacy systems to developing fair and transparent AI models, Shan shares insights from his 25+ years of experience in tech, including his journey across startups and his passion for ethical AI implementation. 

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Key points covered: 

AI in financial services: How AI is modernizing an industry traditionally reliant on legacy mainframes 

Building a next-gen platform: Sagent’s journey to blend data, models, and compliance for future-ready solutions 

Fairness and transparency: Using AI to create unbiased, explainable decision-making processes in loan assessments 

Challenges in adoption: The mortgage industry’s gradual shift from human-led processes to AI-driven automation 

AI in education: Shan’s vision for AI fostering collaboration and communication in learning environments 

Lessons from experience: Shan reflects on his AI journey, from academic beginnings in 1998 to driving innovation today 

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Find the transcript and show notes at: 

Transcript - https://www.juniper.net/us/en/the-feed/topics/ai-and-machine-learning/the-q-and-ai-ai-driven-platforms-modernize-mortgages.html

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Where to find Shan Palaniappan?

LinkedIn - https://www.linkedin.com/in/shan-palaniappan/ 

Where to find Bob Friday?

LinkedIn - https://www.linkedin.com/in/bobfriday/ 

-----

To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, Juniper’s Bob Friday sits down with Mitch Davis, CIO of Dartmouth College, to discuss the art of building high-performance teams. Mitch shares his strategies for breaking down silos, fostering collaboration, inspiring innovation, and creating a culture of trust and success. Whether you're in tech or any field that values effective teams, this conversation is packed with actionable insights and transformative ideas. 

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Key points covered:

Breaking down silos: Strategies for dismantling barriers and fostering collaboration through a matrixed organization

Inspiring transformation: Using mission and vision to empower teams and drive growth

Building trust: Creating safe spaces for risk-taking, innovation, and adaptability

Developing talent: Mentoring team members to reach their full potential

AI integration: How tools like Juniper’s Marvis enhance team performance and innovation

Lessons from Dartmouth: Transforming a reactive IT department into a proactive, high-performance team

Leadership insights: Self-reflection, creating growth-oriented environments, and owning team outcomes

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Find the transcript and show notes at:

Transcript - https://www.juniper.net/us/en/the-feed/topics/ai-and-machine-learning/the-q-and-ai-ai-as-a-team-member-the-future-of-collaborative-work.html

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Where to find Mitch Davis?

LinkedIn - https://www.linkedin.com/in/davismitch/

Where to find Bob Friday?

LinkedIn - https://www.linkedin.com/in/bobfriday/ 

To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!