How AI can transform contingent hiring: A guide to getting started

In today’s volatile market, true business resilience isn't about recovery—it's about foresight. Read this eBook designed to show you exactly how to use Google Cloud's advanced AI, including Gemini, to increase your operational efficiency, de-risk your supply chain, and turn market shocks into competitive advantages.

When we asked you what’s keeping you up at night, 71% said power and grid constraints. AI’s explosive growth is pushing infrastructure to its limits. 💡 Discover how bridge power solutions and smarter site selection can keep your operations secure and ahead of the curve in our latest ebook.

⚡ The race for AI is really a race for energy. Power is the new currency. MG4AI builds it from the ground up. #800VDC #MG4AI #AIReady #AIInfrastructure #ModularDataCenters #MDC #Microgrid #EnterpriseAI #SovereignAI

“Scale” is cheap talk. Consistency under load is the metric. On that note, Future AGI's latest eBook on Mastering AI Agent Evaluation is important as it’s not about chasing perfect prompts, it’s about building observable, measurable systems that can improve on their own. The guide walks through: 1. Agent architecture and failure patterns we’ve seen firsthand 2. How to measure grounding, reliability, and safety with real data 3. Setting up continuous monitoring and drift detection 4. Playbooks for RAG, copilots, and workflow agents If you build or debug agents, this will feel familiar and useful. 👉 Free Download: https://h1.nu/1esWT

New tech usually takes years to really boost business productivity. Learn why AI agents could speed things up dramatically in this new eBook: https://lnkd.in/g56CPqTe

[Free eBook] How We Built a Practical Framework for Evaluating AI Agents in Production Hey everyone! I'm new to the dev.to community and wanted to share something our team built. We've all been there: your new AI agent works great in demos, but the moment you think about shipping to prod, you get nervous. How do you actually know it's reliable? Traditional LLM evals are useless for agents. An agent can give a perfect-sounding summary while, internally, its tool calls failed, it pulled stale data, and it completely forgot the user's original goal. Debugging this is a nightmare. Our team has been tackling this exact problem while building multimodal agents. We ended up creating our own evaluation playbook and decided to share it as a free e-book. It's not just theory, it's a practical guide on how to build an eval system. It covers: Diagnosing the real failure modes in planning, memory, and tool_calls. The 'how-to' of instrumenting your agent to get span and trace-level data (this is the most important part for debugging). Moving beyond "accuracy" to evals that check for s https://lnkd.in/gmmDaUcj

We get it – AI is everywhere right now. But cutting through the noise to find practical, clear advice isn’t easy. That’s why we created a short guide to help you explore how #AIagents can support your customer service teams — without the jargon or hype. - What they can (and can’t) do - How they differ from chatbots - What to consider before choosing one - How to make sure they actually help your teams and customers Whether you’re just curious or ready to dive in, this guide gives you a solid foundation. Download the ebook: https://lnkd.in/eYk-PuFH Mark VilliersLewis Gallagher Christine Stevens Hayley Preedy Chris M.

💡 Over 50% of clinical trial costs stem from human-driven operations. Manual processes, disconnected systems, and resource-intensive oversight continue to delay timelines, increase costs, and limit scalability. The industry is now witnessing a paradigm shift — where AI agents autonomously manage critical trial functions, enabling faster execution, greater accuracy, and improved outcomes. 📘 Read the full eBook here: https://hubs.ly/Q03QrqfM0 #AgenticAI #ClinicalOperations #ClinicalTrials #ClinicalData #DrugDevelopment #eBook #MaxisAI

Disconnected systems, manual workarounds, and unreliable reports leave business leaders second-guessing decisions. Our latest #eBook shows how the Semarchy Data Platform turns fragmented data into governed, AI-ready products. 🔗 Get your free copy here: https://lnkd.in/eHAHgccD  #Semarchy #DataManagement #MasterDataManagement #AIReady

Whilst we all understand the hype of AI, it’s still important to understand the dangers of rushing to scale without having the fundamental in place. Our latest Organised for Intelligence focus and The Shadow Inside The Machine is a timely reminder of what needs to be in place before scaling AI across your organisation. 👻👻