Techsplainers by IBM

This episode of Techsplainers explores the concept of AI-ready data - high-quality, accessible, and trusted information that organizations need for successful artificial intelligence initiatives. We examine why only 29% of technology leaders believe their data meets AI readiness standards and break down the four essential characteristics that make data truly AI-ready: being unified and accessible, properly governed, secure, and supported by the right skills and infrastructure. The discussion highlights common barriers to AI readiness including data fragmentation, quality issues, skills gaps, and security risks, while explaining how organizations are failing to utilize their valuable unstructured data - with less than 1% of enterprise data currently leveraged in traditional large language models. Through practical examples and industry insights, this episode provides a roadmap for transforming raw data into a strategic asset that can power trusted, reliable AI applications across the enterprise.

Find more information at https://www.ibm.com/think/topics/ai-ready-data

Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Amanda Downie

This episode of Techsplainers explores cloud architecture—the foundational blueprint for cloud computing environments. We break down the four essential components: the front-end (user interfaces and dashboards), the back-end (servers, databases, and infrastructure), the network (connections between components), and cloud delivery models (IaaS, PaaS, and SaaS). The discussion covers various deployment approaches, from public and private clouds to hybrid and multicloud environments, and explains how organizations strategically combine these models to optimize performance and security. We also highlight the role of cloud architects in orchestrating these complex environments and implementing best practices for automation, data management, and workload placement. Finally, we examine the business benefits of well-designed cloud architecture, including accelerated modernization, faster innovation, enhanced resilience, and improved security and compliance across environments.

Find more information at https://www.ibm.com/think/topics/cloud-architecture
Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Douglas Lambert

This episode of Techsplainers explores private cloud computing—how it provides cloud benefits with enhanced security and control for organizations with sensitive data or specific regulatory requirements.

Find more information at https://www.ibm.com/think/topics/private-cloud
Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Douglas Lambert

"This episode of Techsplainers explores public cloud computing, where third-party providers deliver computing resources over the internet on a pay-as-you-go basis. Douglas explains how public cloud works as a multi-tenant environment where users share virtualized resources while maintaining data isolation. The discussion covers the three primary service models—Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). The episode also compares public cloud with private and hybrid approaches, highlighting how organizations typically combine these models for optimal flexibility. Finally, we address security considerations in public cloud environments, noting how provider security has evolved to often surpass on-premises solutions despite requiring different management approaches.

Find more information at https://www.ibm.com/think/topics/public-cloud
Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Douglas Lambert

This episode of Techsplainers explores the inner workings of cloud computing by examining its core components and service delivery models. Host Douglas Lambert explains the three fundamental building blocks of cloud computing: data centers (the physical infrastructure), networking capabilities (enabling high-speed connections), and virtualization (the technology that maximizes hardware efficiency). The episode then details the spectrum of cloud service models, from Infrastructure as a Service (IaaS), which provides basic computing resources, to Platform as a Service (PaaS), which offers development environments, to Software as a Service (SaaS), which delivers ready-to-use applications. The discussion concludes with an exploration of serverless computing, where providers automatically handle all infrastructure management and scale resources instantly based on demand. Through relatable analogies comparing these models to housing options—from unfurnished apartments to fully-serviced hotels—the episode demystifies the technical aspects of how cloud services are structured and delivered.

Find more information at https://www.ibm.com/think/topics/cloud-computing
Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Douglas Lambert