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Bringing predictive and judgement based sales forecasting together

Businesses typically use a “bottoms up” or judgement based forecasting process. This process starts with numbers that individual sales reps commit to based on their judgement. These numbers are then rolled up through the management hierarchy with each manager adjusting numbers based on their own judgement. Sales organizations either use modern tools (like Collaborative Forecasting available …

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forecast

Four reasons why Google Cloud ML is a compelling machine learning platform

At SpringML we solve complex customer problems using Google Cloud Platform and Cloud ML.  Our solutions include real-time predictions, large scale video processing and transcription to name a few.  In this blog we highlight a few reasons why CloudML and TensorFlow provides a compelling machine learning platform. Distributed, high performance:  Data in TensorFlow is represented as …

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Machine Learning is Easy, then what is difficult?

In the whole Machine Learning development, model development is the easy and least time-consuming effort. Operationalization is the hardest and that’s where all projects are either failing or struggling to justify investment. It’s not a one time effort. Most Machine Learning projects start with access to existing data and particular use case to solve. The analogy I use …

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Machine Learning

More insights, less data!

Every day in the life of a sales manager is filled with a variety of tasks, challenges and decisions that need to be made.  Some days it may be prospect meetings, lunches & dinners, other days it may be preparing for presentations and working with teams to setup demos or figuring our pricing for an imminent deal.  Other activities include competitor analysis, …

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