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IBM SayZ What?

by IBM Federal Z Team

Government Technology

Season 1

Client Zero Story

Hosts Camila and Ahmed sit down with Ashly AuBuchon from IBM’s Client Zero Center of Competence to unpack the real story behind AI transformation. In this episode, Ashly shares how IBM became its own first customer—testing, refining, and scaling AI across the enterprise before bringing those lessons to clients. From cultural shifts to workflow redesign to measurable business impact, this conversation reveals how “Client Zero” became a blueprint for helping customers adopt AI with confidence and clarity.

Episode 10: Why Get Quantum Safe with Charles Robinson

We’re excited to share the latest episode of our IBM SayZ What? podcast — and this one’s a special one! Our incredible summer interns, Marc Sibaja and Prerana Kalapatapu, step up as guest hosts to explore a hot topic with Charles Robinson, IBM’s Worldwide Business Development Leader for the Quantum Safe team. This episodes topic highlights: What it means to be "quantum safe" How IBM is helping organizations navigate the post-quantum cryptography transition Fresh perspectives from our interns as they dig into this emerging field

Episode 9: z17 with Kenny Stine

In this exciting episode of the IBM SayZ What? podcast, hosts Aleis Murphy and Ahmed Usman dive deep into the groundbreaking release of the IBM z17 with special guest Kenny Stine, a seasoned expert in enterprise systems and IBM Z Technical Specialist. Together, they explore: What sets the z17 apart from previous generations Key innovations in AI integration, quantum-safe cryptography, and resiliency features How z17 is redefining performance and scalability for modern workloads The business value it brings to enterprises across industries Whether you're a long-time mainframe enthusiast or just curious about the future of enterprise computing, this episode offers an inside look at how IBM z17 is shaping the next era of digital transformation.

Episode 8: Watsonx Assistant for Z

In this special episode of 'IBM Says What?' hosts Louise Dixon and Aleis Murphy flip the script—by interviewing none other than IBM’s Watsonx Assistant for Z. That’s right: the AI assistant becomes the guest. Tune in as we explore what it’s like to be the assistant supporting IT operations on IBM Z. We dive into how Watsonx Assistant for Z works behind the scenes to streamline problem-solving, enhance productivity, and enable a new kind of human-machine collaboration. This episode gives you a front-row seat to the inner workings of IBM’s enterprise AI. Whether you're a mainframe pro, an AI enthusiast, or just curious how an assistant sees the world—it’s a conversation you won’t want to miss.

Episode 7: Interview with Watsonx.ai

In this exciting episode, join hosts Aleis Murphy and Louise Dixon as they sit down with the brilliant 'mind' our very own Watsonx.ai to explore the cutting-edge innovations in artificial intelligence. From AI's growing role in business to the future of machine learning, Watsonx.ai answers some of the most pressing questions shaping the landscape of modern technology. Whether you’re an AI enthusiast or new to the space, this conversation provides a unique perspective on how AI is revolutionizing industries and driving the future forward. Tune in for a fascinating discussion on the power of AI, data, and the endless possibilities of Watsonx.ai in today’s fast-evolving tech world.

Episode 6: Intellimagic

In this episode, we explore how Intellimagic’s advanced IT optimization solutions can help federal agencies streamline operations, reduce costs, and enhance system performance. With decades of expertise in monitoring and analyzing IT environments, Intellimagic empowers federal customers to gain deep insights into their infrastructure, ensuring better decision-making and improved service delivery. Tune in as we discuss how our tailored solutions can help federal IT teams mitigate risk, maximize efficiency, and stay ahead of ever-evolving technological challenges.

Episode 5: Capacity Planning

In this episode of “IBM Sayz, What?”, hosts Aleis, Ahmed, and talk with IBM Z hardware specialist Kiri Nicholson about capacity planning. Kiri explains the difference between ongoing capacity planning and one-time CPU sizing, both crucial for optimizing IBM Z systems. She highlights essential tools like IBM Z PCR and MIPS tables for accurate system scaling and emphasizes the need for cross-departmental collaboration in planning for future growth. Kiri encourages reaching out to IBM support for guidance and provides resources for listeners to start their own capacity planning journey.

Episode 04: zSecurity with Rodney Oxford

Our hosts Kiara Street and Ahmed Usman, discuss the importance of the zSecurity portfolio for IBMs customer's.

Episode 3: Watsonx Assistant for Z with Joanie Gines

In this episode of IBM Says, What?, hosts Kiara Street and Louise Dixon welcome special guest Joanie Gines to discuss IBM WatsonX Assistant for Z. Joanie Gines shares insights from her 28-year career at IBM, highlighting her passion for blending technical expertise with sales. She explains how WatsonX Assistant for Z leverages generative AI to provide targeted, platform-specific solutions, helping new professionals quickly acquire mainframe skills and boosting operational efficiency. Joanie also discusses the critical role AI plays in preserving “legendary” mainframe systems by capturing expert knowledge and facilitating automation. Tune in to learn how IBM is shaping the future of mainframe technology through AI innovation.

Episode 2: Watsonx Code Assistant for Z with Carol So

The podcast introduces IBM’s WatsonX Code Assistant for Z, an AI-powered tool to modernize COBOL applications on IBM Z systems. Hosts Aleis Murphy and Ahmed Usman speak with Carol So, an experienced IBM architect, who explains how the tool guides the transformation process through four phases: Understand, Refactor, Transform, and Validate. The assistant helps translate COBOL to optimized Java while minimizing risks and enhancing team collaboration. Carol highlights that even clients sticking with COBOL can benefit from improved code understanding and development efficiency.

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