Every financial institution wants transformation. Leaders talk about digital experiences that feel effortless, AI that supports every interaction, and teams that move with more confidence because they have the full picture of a customer or member in front of them. If you read the slideware, transformation can look like a sequence of milestones. Vision session.
Why, despite all the hype and investment, are most companies still not seeing a return on their generative AI (GenAI) investments?According to a new report from MIT’s Project NANDA, a staggering 95% of organizations are getting zero P&L impact from their efforts. We’re now collectively referring to this phenomenon as “The GenAI Divide.” What’s keeping
At Dreamforce last year, I was moderating a panel on guided selling with analytics and AI when an audience member asked how I thought Agentforce would impact analytics solutions. My off-the-cuff response was that in terms of analytics, “the questions remain the same, but now we have another mechanism through which we can deliver those
Sometimes, internal expertise, resource capacity, or time constraints limit an organization’s ability to deliver on its priority initiatives. To meet those needs, many organizations choose to work with a partner like Atrium to implement solutions like Salesforce and CRM Analytics (CRMA), unlocking the full potential of their data through flexibility, optimization, and innovative thinking. One
Tableau Conference 2025 just wrapped up in San Diego. For most attendees, it was full of sessions, meetings, new features, and new concepts. One of the primary themes from Tableau Conference was the new role of analysts and the new product, Tableau Next. Odds are that whether you joined online or in person, the one
Tableau’s Iron Viz is more than just a competition, it’s also a way to learn and develop your Tableau skills. Every year, Tableau enthusiasts from around the globe submit their best attempts at Tableau dashboards to compete against the best of the best for a chance to win glory in the name of data visualizations.
Wow, what a week at Salesforce Sales Kick-Off (SKO) FY ‘26. It was a whirlwind of innovation, inspiration, and connection, with so many familiar faces — partners, clients, and Salesforce folks — all energized for the new fiscal year. The conversations were buzzing, the energy was high, and the happy hour Atrium hosted was a
Financial services organizations are naturally data-rich. Whether you’re a bank, credit union, wealth management firm, or asset management company, you have access to a wealth of information. But too often, that data is scattered across different systems and departments, like pieces of a jigsaw puzzle. You know the big picture is important, but putting all
Dreamforce 2024 ushered in a new era of AI, where the emphasis was on pushing beyond predictive and generative models into the world of assistive and autonomous agents. From the highly anticipated launches of Agentforce and Tableau Einstein, to deeper integrations between AI and data, here are our top takeaways from the event. 1. Agentforce
If I had to guess, I’d say that the man who famously said, “Never memorize something that you can look up,” would probably be pretty blown away by what’s possible today with artificial intelligence. That man, of course, was Albert Einstein, the face and namesake of Salesforce’s AI products and capabilities. Einstein also once said,