PPG’s SAP on AWS Modernization | with Bhaskar Ramachandran at SAP Sapphire 2026

How do you simplify enterprise systems after years of acquisitions—and improve the processes that produce your data? At SAP Sapphire 2026 in Orlando, Sarbjeet Johal speaks with Bhaskar Ramachandran, PPG’s Vice President and Chief Information Officer, about the company’s multiyear modernization journey and its move to SAP on AWS.

Better data begins with better processes

Ramachandran connects data quality to the business processes that create it. The discussion highlights why modernization requires looking beyond individual systems and addressing how work happens across the organization.

Simplifying a complex ERP landscape

The conversation explores the complexity created by PPG’s acquisition history and the work of consolidating multiple ERP systems. Ramachandran discusses PPG’s move to AWS through RISE with SAP, placing that transition within a broader effort to bring greater simplicity and consistency to systems operations.

Building the ability to adapt

Johal and Ramachandran also discuss changing business conditions, including the shift from a demand-driven to a supply-driven environment. The conversation considers why organizations need to remain nimble as they adopt new technology, and closes with Ramachandran’s perspective on enterprise systems.

For leaders planning a similar transformation, the interview offers a view of how process improvement, cloud adoption, and systems consolidation connect within a long-term modernization program.

Recorded at SAP Sapphire 2026 in Orlando. Video published on YouTube on October 6, 2026. Watch the original discussion on YouTube.

Open-Weight AI Models: Costs, Continuity, and Enterprise Risk, with Efi Pylarinou

What does access to model weights mean for an enterprise that needs dependable AI? Sarbjeet Johal joins Dr. Efi Pylarinou on Fintech Conversations & Insights to discuss the practical economics and operational risks of open-weight models.

Ownership and operational continuity

The conversation distinguishes open-weight models from open source and examines the infrastructure needed to run them. Johal explores why possessing model weights does not, by itself, resolve questions of continuity, backward compatibility, or long-term business dependence.

Matching models to enterprise requirements

Johal and Pylarinou discuss model routing, experimentation, and the different requirements of startups and established enterprises. They also consider why systems of record and systems of engagement place different demands on AI accuracy and consistency.

The next enterprise AI architecture

The discussion looks ahead to specialized models, independent software vendors, and composite systems. It connects those possibilities with the continuing role of developers and the opportunity to make AI more broadly accessible.

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Video published on YouTube on September 2, 2026. Watch the original conversation on YouTube.

Sarbjeet Johal on Open Source AI and Cloud Economics | theCUBE + NYSE Wired

Where is AI creating lasting value—and who is positioned to capture it? In this conversation from theCUBE + NYSE Wired: Mixture of Experts, StackPane founder Sarbjeet Johal joins John Furrier to explore the connections between open source, global AI adoption, and the economics of AI infrastructure.

Open source and the global AI economy

Johal discusses how open source and open-weight models can expand access to AI beyond the largest technology companies. The conversation considers NVIDIA’s role in the open source ecosystem, the opportunities for developing nations and local data centers, and the pressures automation places on systems integrators.

Coding agents are another focus. Johal connects their importance to the broader work of digitizing industries, including healthcare, transportation, and infrastructure.

The economics behind AI infrastructure

The discussion also examines neoclouds and the factors that shape their businesses: token output, operating costs, and power efficiency. Johal and Furrier explore how these considerations affect emerging infrastructure providers such as CoreWeave.

They round out the conversation with the competition for AI talent, differing paths to public markets, and the partnerships established software companies are using to respond to AI disruption.

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Video published by SiliconANGLE theCUBE on September 1, 2026. Watch the original interview on YouTube.

AMD Advancing AI 2026 with Dave Vellante and Bob O’Donnell – San Francisco

What will it take for AMD to compete across the full AI infrastructure stack? At AMD Advancing AI 2026 in San Francisco, StackPane’s Sarbjeet Johal and TECHnalysis president Bob O’Donnell join theCUBE’s Dave Vellante to examine AMD’s strategy, the evolving software ecosystem, and the opportunities for enterprise AI.

AMD’s push toward a complete AI platform

The panel discusses AMD’s Helios platform, the importance of rack engineering, and the partnerships shaping its AI ambitions. Johal frames the keynote around accelerators, the CPU opportunity, and relationships with companies including OpenAI, Anthropic, and Cerebras. O’Donnell considers how the combination of Helios and ZT Systems’ engineering strengthens AMD’s competitive position.

Software remains central to the competition

The conversation examines NVIDIA’s CUDA ecosystem and the progress of AMD’s ROCm software. Johal highlights the depth of NVIDIA’s libraries while the panel explores how model porting and tools such as Triton could influence adoption. For enterprises, the discussion connects hardware choice with the software and engineering needed to put it to work.

Hybrid AI and the future of enterprise computing

Johal, O’Donnell, and Vellante also explore the relationship between established x86 workloads and accelerated computing. They consider how on-premises deployments, client devices, and local inference fit into hybrid AI architectures—and how these choices could affect cloud token costs. AMD’s alliance with Cisco adds another dimension to the discussion of managing distributed AI infrastructure.

The recurring theme is the value of competition: a broader set of credible platforms gives customers more options as they combine existing enterprise systems with new AI capabilities.

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Video published by SiliconANGLE theCUBE on July 23, 2026. Watch the original panel on YouTube.

Agentic Runtime Security | Suja Viswesan and Sarbjeet Johal at IBM Think 2026

How should security change when software agents can act on behalf of people? In this conversation from IBM Think 2026, Sarbjeet Johal speaks with IBM’s Suja Viswesan about securing agentic AI at runtime.

Identity, access, and accountability for agents

The discussion examines why controls designed for human users may need to evolve for agents. Topics include traceability, accountability, agentic identity and access management, and the risks of accumulating access or escalating privileges.

Security throughout an agent’s operation

Johal and Viswesan explore the distinction between runtime security and design-time security, as well as the relationship between human and agent privileges. They also discuss retaining context while managing permissions, the implications of composite applications, and security across products and vendors.

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Video published on YouTube on June 25, 2026. Watch the original conversation on YouTube.

Cisco Live 26: Customer Experience, AI & Resilient Operations | Eric Knipp & Sarbjeet Johal

At Cisco Live 2026, Sarbjeet Johal speaks with Eric Knipp, Cisco’s SVP and General Manager of Customer Experience, about the announcements shaping Cisco’s customer experience business and the work of bringing new capabilities into production.

Customer experience, security, and partner services

The discussion explores Cisco’s customer experience philosophy, Cisco IQ, and Cisco Cloud Control. Johal and Knipp also examine the connections between security and customer experience, the role of professional services, and how playbooks and APIs can support partners.

From automation to resilient operations

The conversation turns to practitioner training, network as code, and the relationship between agentic AI, APIs, and automation. Digital twins and systems economics round out the discussion, connecting technical capabilities with operational resilience and the journey from planning to production.

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Video published on YouTube on June 13, 2026. Watch the original conversation on YouTube.

Microsoft Build Announcements and the Future of AI | Rob Tiffany and Sarbjeet Johal

Rob Tiffany and Sarbjeet Johal discuss Microsoft Build announcements and the future of AI in this dialogue recorded on June 5, 2026.

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The video brings Tiffany and Johal together for a discussion of Microsoft Build and AI’s direction. Watch the full conversation below for their perspectives.

Video published on YouTube on June 8, 2026. Watch the original conversation on YouTube.

Sarbjeet Johal on Google’s AI Strategy and Enterprise Execution | Google Cloud Next 2026

How do enterprises move from AI experimentation to effective execution? In this Analyst Notebook conversation from Google Cloud Next 2026, StackPane founder and CEO Sarbjeet Johal joins theCUBE’s John Furrier to explore Google’s AI strategy, production economics, and the organizational work required to put agents into practice.

Google’s full-stack AI advantage

Johal examines how Google’s investments across custom TPUs, cloud infrastructure, and Gemini shape its competitive position. The discussion connects ownership of the hardware stack with the economics of training and inference, and considers what that integration means for enterprise customers evaluating AI platforms.

Matching AI to the work

Johal offers a framework built around systems of record, engagement, and innovation. The conversation explores where generative AI’s language capabilities fit naturally and why enterprises should distinguish those uses from work that requires predictable, deterministic outcomes.

Production costs are another focus. Changing models can trigger new rounds of testing and token consumption, making the cost of operating and maintaining an AI system an essential part of the investment decision.

Data, governance, and organizational change

Furrier and Johal discuss the role of open table formats such as Apache Iceberg and the lakehouse in connecting enterprise data with agents. They also examine agent governance as a foundation for adoption, drawing a parallel with the role DevSecOps played in enterprise cloud.

The conversation returns to change management and execution: organizations need the ability to build, operate, and assess investments while managing the risks of moving either too slowly or too quickly.

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Video published by SiliconANGLE theCUBE on April 24, 2026. Watch the original interview on YouTube.

Crypto Security and Communication Systems | Mark Hughes and Sarbjeet Johal at MWC 2026

At MWC 2026 in Barcelona, Sarbjeet Johal sits down with IBM’s Mark Hughes for a dialogue on crypto security and communication systems.

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The interview brings a security perspective to the communications industry. Watch the full discussion below for Hughes and Johal’s exchange from Barcelona.

Video published on YouTube on March 31, 2026. Watch the original conversation on YouTube.

Sarbjeet Johal on AI, Telecom, and Edge Computing | MWC26 Barcelona

How can telecom operators turn rising AI demand into new opportunities? At MWC Barcelona 2026, StackPane founder and CEO Sarbjeet Johal joins theCUBE’s John Furrier to discuss AI’s impact on networks, edge computing, and the business of connectivity.

AI moves deeper into telecom networks

Johal explores how consumer and enterprise AI workloads are increasing demand for compute across the network. AI-RAN is a central theme of the conversation, alongside the potential convergence of 6G, quantum computing, and classical computing. He also considers how regulation and the scale of telecom businesses affect their ability to keep pace with the technology sector.

Opening the network to innovation

The discussion examines the RAN Intelligent Controller and the challenges of supplier dependence. Johal argues that a more open approach could create room for startups and venture-backed innovation. Edge computing and sovereign AI offer additional possibilities for carriers to build services around local needs and enterprise requirements.

From connectivity to AI services

Johal and Furrier also discuss AT&T’s strategy, including the role of fiber infrastructure and its O-RAN relationship with Ericsson. The conversation touches on Google Cloud and AI monetization, as well as Nokia’s intellectual property and partnership with NVIDIA. Across these topics, the recurring question is how operators can capture more value as AI changes what customers need from their networks.

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Video published by SiliconANGLE theCUBE on March 4, 2026. Watch the original interview on YouTube.