This blog post addresses our latest version of Clari Trend Analytics, which is a core set of capabilities, included in our Sales Execution & Forecasting platform. Discover how — and why — this newest version of Trend Analytics is critical to your sales operations. Learn how these capabilities can give you a more detailed breakdown of the Clari forecast projection, access to historical data and better visibility into your historical conversion rates.
After attending the Data Science Summit in San Francisco, I left with more questions than conclusive answers. The summit was more like a hot debate, with a more inspiring conclusion: find the right trade-off in your data science or machine learning problem and then... it depends.
At the Data Science Summit, Professor Carlos Guestrin spoke about the must-haves for machine learning in production.
Data science isn't a feature. It's a future. The rise of machine learning technology will transform enterprise selling and help sales teams answer tough questions about deal activity, forecast accuracy, compensation, and more.
Humans and machines learn in many of the same ways. Thinking about how we learn should inform the way we design software for sales, which hinges so much on human interaction and customer relationships.
As impressive as the AlphaGo victory is, we’re early in the development of AI systems. That means we’re also early in understanding the best ways for people and AI systems to join forces. But just as AlphaGo made innovative moves in Go that will ignite new thinking and creativity among the best Go players, we are confident tomorrow’s AI will spark new innovation among those who embrace its value.
What’s next in Data Science for startups. Learnings from the WSDM conference.
In my last post, I raved about and expanded on what Salesforce’s Vala Afshar wrote in his HuffPost Tech piece, 2015 State of Analytics. It’s a great read with a stunning take away that 90% of high performers depend on analytics — 3x more than underperformers. This post continues with Afshar’s recommendation on criteria for analytics.
Way back in 2002, my son was born. And Marc Benioff kicked off "No software" at Salesforce. Marc says his people hated it at first.
Data science is all around us -- you just have to look. Sports is a beautiful example. As competition heats up, teams look for an edge. The smart ones turn to data science.