Gun.io

Burnout killer no. 1: Low-value, repetitive tasks. Solution? Automation. - Automate code reviews, testing, and deployments - Free up mental energy for creative problem-solving - Focus on high-impact work that drives innovation ROV Impact: Companies prioritizing automation and employee well-being see up to 21% increase in profitability.

As engineering leaders, we often focus on ROI. But what about ROV - Return on Value? Burnout in software teams isn't just about individual well-being. It impacts: - Productivity - Turnover rates - Product quality By prioritizing retention, well-being, and sustainable growth, we create a more holistic view of success.

In our latest Gun.io Open Spaces post, we chat with community developer Lubna Arora about the role of AI in cybersecurity. - AI-enhanced threat detection - Anomaly visualization - Pattern recognition in security This is the first in our series of conversations with developers on the Gun.io platform. What cybersecurity topics would you like to see covered in future developer chats?

Is your AI strategy built on a shaky data foundation? "BI Before AI: Going Slow to Go Fast," challenges the rush to implement AI without solid Business Intelligence. Prioritizing BI drives: Accelerated ROI on data initiatives Streamlined AI implementation Sustainable competitive advantage Don't let hasty tech adoption derail your data strategy. Learn why BI should precede AI.

Founders, ever feel like you're building the plane while flying it? Our CEO Teja Yenamandra shared his experience on the "Zero to Umm..." podcast about the startup rollercoaster: - Burning savings ✓ - 3 AM doubt sessions ✓ - Building a dream team on a shoestring ✓ - Aiming for a 90-year company 🚀 Whether you're in the trenches or about to jump, this one's for you. Give it a listen. And if dev team scaling is keeping you up at night, we've got your back.

August 2024 Engineering Update This month, we’ve updated Mission Builder. The highlight? Location-Based Hiring Insights. Now, companies can: - Visualize global talent availability tailored to their needs. - Access granular rate data by location and seniority. - Make informed, evidence-based hiring decisions. The goal? Allow companies to refine budgeting, explore new talent markets, and strategically build their teams. We’ve also expanded talent discovery, introduced verified talent badges, and enhanced job description creation. https://lnkd.in/eZPzyS2w

As an engineering leader, you are uniquely positioned to drive impactful AI/ML initiatives in your organization, but technical insight alone isn't enough to drive adoption. The true challenge lies in effectively communicating your vision to stakeholders to secure the necessary resources for implementation. Key strategies: - Identify High-Impact Opportunities: Focus on problems where AI/ML can deliver substantial, measurable value. - Build a Strong Business Case: Develop clear ROI projections that speak to both technical and business stakeholders. - Ensure Data Readiness: Validate data quality and availability before proposing AI/ML solutions. - Tailor Communication: Adapt your message for different stakeholders, from C-suite to end-users. - Start Smart: Consider PoC projects to demonstrate value and mitigate perceived risks. Your role isn't just to propose AI/ML solutions but to advocate for those with the greatest potential for organizational impact. Your technical insight, combined with business acumen, makes you the ideal champion for these projects.

In the rush to implement AI, many companies are skipping a crucial step. Here's why that's a mistake: - Foundation First: Just as you wouldn't build a skyscraper without a solid foundation, don't jump into AI without strong Business Intelligence. - Moneyball Strategy: Remember how the Oakland A's prioritized statistics over star players? That's the power of data analytics before flashy tech. - Iterative Wins: Start small, learn fast. A data analytics MVP can deliver immediate value while paving the way for AI. - Modern BI is Powerful: Today's BI tools can rival AI in providing actionable insights. Don't underestimate them! - Culture Matters: Building a data-driven culture through BI prepares your organization for successful AI adoption. The goal isn't to have the most advanced AI—it's to make better decisions. By focusing on BI first, you're not just preparing for AI; you're building an adaptable, data-driven organization ready for whatever comes next. Remember: In the world of data strategy, sometimes you need to go slow to go fast.

Join us for an insightful live-stream panel discussion focused on the practical applications of AI in production environments. Our speakers are industry leaders who are not just talking about AI but actively implementing it in their work. Featuring Jerome Hardaway (Senior Software Engineer @ Microsoft), Philipp Tsipman (Founder and CEO at Camcorder AI), and Valerie P. (Senior Engineering Manager at Alma) Learn from their experiences, challenges, and successes in bringing AI from concept to reality.

Ready to move past the AI hype? Join taylor desseyn for Real AI in Action w/ Jerome Hardaway, Philipp Tsipman and Valerie P. We're talking with the people who are actually building and using AI in their day-to-day work. Cut through the noise and get insights from true innovators pushing AI forward.