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AI vs. Human: Kelsey Hightower on the Battle for the Future of Development!

In this eye-opening keynote from Civo Navigate Europe 2024, Kelsey Hightower explores the future of software development in a world increasingly dominated by AI. Will AI tools like ChatGPT replace developers, or will they simply reshape the role of software engineers? Learn about the intersection of AI, open-source, Kubernetes, and what it means for the future of tech careers.

5G mobile networks: A driver for edge computing

Recently, a striking report published by Omdia and Canonical highlighted that 86% of communication service providers (CSPs) are optimistic about the future of edge computing on telco networks. This is a market that is expected to grow substantially in the coming years, with our report shedding light on the motivation that CPSs are drawing from the enhancements that 5G networks will bring.

GenAI Meets K8s: The Role of Generative AI in Overcoming Kubernetes Complexity

For years, the potential of AI in operations has been a hot topic, often promising more than it delivers. As Kubernetes environments grow increasingly complex, the limitations of traditional monitoring and troubleshooting tools become glaringly apparent. But with the rise of GenAI, a new question emerges: Is AI finally ready to transform the way we manage and optimize Kubernetes Operations?

Improving Patient Engagement: Must-Have Digital Tools for Modern Healthcare

In today's rapidly evolving healthcare environment, patient expectations are changing. With the challenges and lessons brought by the COVID-19 pandemic, staffing shortages, and the growing demand for more streamlined and digitalised healthcare services, healthcare providers are increasingly turning to digital tools to enhance patient engagement. This shift toward digital-first healthcare is largely driven by the rise of digital patient engagement solutions in the healthcare industry.

Navigating the Creative Commons: AI, Ownership, and Software Development

The debate surrounding AI-generated content ownership has raged since the technology's inception. Despite significant advancements, the question of creative rights remains unresolved. This is particularly problematic in software development, where AI's influence can often be subtle and overlooked. To fully grasp the implications, it's essential to delve into the complex landscape of intellectual property and licensing.

How to Leverage Generative AI in Retail?

Generative AI has now become an essential tool in reshaping retail as we know it. Major players, including Amazon, Walmart, Carrefour, and more, have integrated GenAI into their operations, unlocking unprecedented efficiency and personalization in their strategies. As AI continues to evolve, it’s no longer just about retail media and advertising—it’s revolutionizing every aspect of the retail landscape, from product development to customer service.

Faster APIs, Better Experiences: Debugging Next.js to slash API Load Times with Dan Mindru

From sluggish API calls to elusive bugs, debugging your Next.js application doesn’t have to mean hours of staring at logs and deciphering dashboards. Join Dan Mindru, co-host of the Morning Maker show, as he shows you how to debug errors and performance issues using Sentry’s Tracing and Session Replay. We’ll start by diving into API performance optimization, where you’ll learn to identify and fix bottlenecks efficiently. Next, see a live demo of how Dan uses tracing and session replay to capture and replay user sessions to fix issues across their stack.

Generative AI-Driven Enterprise Service Management

Join Ivanti's Sirjad Parakkat and Peter Adams as they delve into the transformative power of generative AI in enterprise service management! This insightful session explores how AI can drive efficiency, improve productivity, and enhance engagement across your organization. Discover practical applications like incident classification, chatbot functionality, incident summarization, and knowledge article creation.

Ask the Expert: "How Can I Put Responsible AI Into Practice?"

The ethos – and existential urgency – driving “responsible AI” policies is rooted in themes such as privacy, security, fairness, and transparency. Many headlines blur AI concepts such as machine learning, adaptive algorithms, deep learning, natural language processing, and generative AI (GenAI) technologies that are driving the current AI boom. People are worried about their data being misused, their words misconstrued, and their work misrepresented.