Cloud Native Application Protection: a WINning Strategy
In the modern cloud era, security is no longer a standalone effort; it requires seamless collaboration across ecosystems. We explore how Wiz, a leading cloud-native application protection platform (CNAPP) that is in the process of being acquired by Alphabet / Google, has strategically built a thriving partner ecosystem through its Wiz Integration Network (WIN). We discuss Wiz’s platform and organizations’ growing challenges in securing multicloud environments, from visibility gaps and alert fatigue to shifting ownership models, dive deep into Wiz’s unique approach to technical partnerships, highlighting why the Tech Partnerships function resides within the Product organization and how the WIN program drives co-build, co-market, and co-value outcomes. With over 300 partners and 150+ certified integrations, WIN exemplifies what a modern, open, customer-centric partnership model looks like.
FinOps + CloudOps = The Future of Cloud Governance
Discover how FinOps and CloudOps are merging to enable proactive cloud governance, cost control, and automation. Learn why unified cloud operations are critical for AI and multicloud success.
History’s Guide To The Future Of AI
“In episode #8 of the Next Frontiers of AI Podcast, I’m joined by Irving Wladawsky-Berger—MIT research affiliate, legendary IBM executive, and influential technology innovator. We explore how 50 years of transformative tech provides valuable insights for AI’s future. Drawing from Irving’s experiences shaping mainframes, PCs, client-server systems, e-business, cloud, IoT, and AI, we ask: are we watching the same movie again with new characters? Tune in!”
The State of DevOps and AI’s Growing Influence
AI is transforming DevOps, enhancing automation, security, and developer productivity. Learn how AI-driven DevOps impacts software delivery, stability, and compliance.
The Anatomy of a Decision-Making Agent
In this episode of the Next Frontiers of AI Podcast, I go solo to address an array of questions I have received about how to build decision intelligence capabilities in AI Agents and agentic systems. As the market quickly realizes, generative AI and LLMs are insufficient to fuel these AI Agents, and businesses must build an extended ecosystem of specialized AI models. You’ll learn my point-of-view, which has been informed by dozens of AI experts and pioneering companies. I am eager to hear your views!
269 | Breaking Analysis | The New Age of Analyst Relations in Tech
The analyst relations (AR) function is undergoing a fundamental transformation. Once dominated by a handful of large research houses, such as Gartner, IDC and Forrester, the market now features a spectrum of independent analysts and influencers. The fast-paced nature of the tech industry, its speed of change, the relentless competition and ubiquity of technology, make […]
Real-Time Analytics: Fueling the Next Wave of AI-Driven Applications
The real-time analytics market is projected to reach $147.5B by 2031. Discover how AI-driven automation and observability are transforming decision-making.
The Rise of Data Quality in Data Governance: A Critical Shift
By 2026, 60% of organizations will monitor data quality as a core governance strategy. Learn how AI, compliance, and automation are reshaping data governance.
Create Resilient Supply Chains with Causal AI
In the latest episode of the Next Frontiers of AI Podcast, hear from Ishansh Gupta, the lead data scientist for quality management at BMW Group. We discuss how advancements in AI are being used to create more resilient and trustworthy supply chains and manufacturing processes.
You’ll also learn more about the power of Causal AI, why Ishansh became an early Ph.D. in the rapidly expanding field, how he earned his management’s trust, and how he is now nurturing the next generation of AI and data science talent.