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Tina Bensman (Customer Success Manager at Salesforce) has a career journey that is as unique as a mosaic. From building websites to running a wellness center, she's embraced her curiosity and passion for business. Learn how she pieced together a unique path, and how you can do the same:
Using AI to Make an Impact: How This Salesforce Employee Paved Her Career Path
Operations teams face challenges, including duplicate alerts and time-consuming manual analysis. Learn how Salesforce's new similarity model leverages advanced AI and automation to improve incident resolution by identifying commonalities among incidents — reducing alert overload, and increasing operational efficiency.
Salesforce's Similarity Model Manages 4 Key Incident Management Issues
Many users face a learning curve associated with traditional data analytics tools. In response, Einstein Copilot for Tableau provides an AI-driven conversational interface that allows users to ask questions about their datasets and receive quick insights. Learn more ⬇️
Einstein Copilot for Tableau: Building the Next Generation of AI-Driven Analytics
Amy Nguyen, Account Executive, found her way back to Salesforce and embraced a return that felt like a homecoming. Learn more about her journey from marketing to sales, and back to Salesforce:
"Returning Felt Like a Homecoming"- How One Employee Found Her Ideal Role Back at Salesforce
From upskilling in Java to pioneering the latest in Generative AI, these 15 Salesforce engineering leaders share how they develop innovative AI and data solutions. Check it out:
15 Engineering Innovators Discuss the Art of Problem Solving
Come help us lead the AI revolution and make a lasting impact on the world. Ferit, a Business Development Rep in Dublin, is doing just that — advancing his career and unlocking a world of business opportunities for Salesforce. He shares what makes Salesforce the ideal destination for any career:
Day in The Life: Tech Sales in Dublin
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:
How Data Cloud Processes One Quadrillion Records Monthly
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:
Automated Environment Build: Key to Salesforce Cloud Expansion
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:
Top 4 Sales Intelligence Trends from an Engineering Leader
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:
Innovating Tableau Pulse: Hurdling AI Integration and Scalability Obstacles for Next-Gen Customer Insights - Salesforce Engineering Blog