Gramener recognized in Gartner report

“Gramener is named in Gartner report “Market Guide for Data Science and Machine Learning Service Providers” by Jorgen Heizenberg, Alexander Linden, Jim Hare, Nigel Shen, Ehtisham Zaidi published on 31st October 2017. Gramener has been recognized as one of Representative Vendors for DS&ML service providers that can help Data and Analytics leaders to fill their analytics deficit and augment their team.”

The report highlights a growing shortage of data science skills – a problem that Gramener tackles using a combination of standardized approach and toolset.

Gramener’s framework for exploratory data science allows anyone to repeatedly arrive at actionable insights using machine learning. The framework guides analysts on 

–   the choice of variables

–   the optimal variable transformations

–   a pre-selected list of algorithms applicable for the use case, and

–   guidance on interpreting the results for business users

Gramener’s accelerators automate this process for analysts. They analyze the metadata for patterns, and use these patterns to auto-determine the variables, transformations and model parameters.

The result is the that work of the analyst is focused on framing the questions, extracting data, and interpreting the results. The collective expertise of the organization is packaged into the framework and accelerators, allowing anyone to be a good data scientist.

Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Analytics in the restaurant industry

Here are three links that are worth your time.

Lastly, here’s a map of the most well-funded AI startups in each of the the US states.

Let your customers talk

Here are three links from the data science world that are worth your time.

  1. Actionable data science in sales. Let your customers talk for 4+ minutes. Don’t talk about your company for more than 2 minutes. And more data-driven advice.
  2. How to get into natural language processing. YCombinator has started a series of blog posts titled Paths on getting started with emerging fields. The first is on NLP.
  3. The current state of automated machine learning. An overview of libraries that automatically apply machine learning techniques to datasets.

But remember: amidst all this big data, we have a bigger small-data problem.