Check out your Company Bowl for anonymous work chats.
Data Cloud’s apps layer team processes a staggering 42+ trillion records daily and a mind-boggling 1 quadrillion records monthly. Explore how the team tackles this massive scaling challenge to unlock deeper insights for Salesforce customers:
With AEB (Automated Efficiency Booster), reducing workloads, supercharging replication, and accelerating feature development is a breeze. Check out how our MuleSoft engineering team utilizes AEB to grow #Hyperforce infrastructure:
It's projected that 35% of chief revenue officers will resource a centralized "GenAI Operations" team within their go-to-market org by 2025. Parul Jain, VP of Software Engineering, shares a glimpse into what to expect from this developing world of AI:
During the pilot phase of Tableau Pulse, developers successfully scaled email processing from 500 to 20,000 per day while also integrating advanced AI/ML capabilities. Check out how they overcame challenges and provided real-time, AI-powered insights to customers:
Located in the vibrant Silicon Docks, Salesforce Dublin brings together employees to help drive our customers’ success, develop cutting-edge, AI-first technology, and give back to our local communities. Learn how our Sales Development organisation is doing just that:
Our AIOps platform integrates automation and AI, serving as an intelligent assistant for Salesforce teams to monitor and manage our production environments. Learn how our engineers streamlined workloads without any disruption to business operations:
It's time to step out of your comfort zone and blaze your own trail. Carolan Lennon, Salesforce Ireland Country Leader, shares about embracing challenges, taking risks, and becoming a true #Trailblazer:
Marketing Cloud Growth is helping small businesses grow faster using trusted AI — all using the power of Data Cloud. So, how'd our engineers build this latest innovation? Go behind the scenes on their development process:
With 30% of incidents handled and another 30% resolved by AI, ML Console empowers teams to focus on what matters. Learn how it's driving data observability, ensuring real-time data availability, and empowering developers to refine AI models for accuracy:
After previously working at Salesforce for 10 years, Kwesi Ames (VP of Software Engineering), made his return. For him, it was the opportunity to learn and work alongside some of the brightest minds in the industry. Learn more:
