{"id":5954,"date":"2018-06-27T12:17:42","date_gmt":"2018-06-27T12:17:42","guid":{"rendered":"https:\/\/www.digitalcreed.in\/?p=5954"},"modified":"2018-06-27T12:35:00","modified_gmt":"2018-06-27T12:35:00","slug":"google-machine-learning","status":"publish","type":"post","link":"https:\/\/www.digitalcreed.in\/google-machine-learning\/","title":{"rendered":"Want business success? Create a machine learning model"},"content":{"rendered":"
Knowing customers well and then creating innovative products, services and great experiences are ingredients for success in modern business. The key to doing all of that is speed and scale. Manual processes and human processors are not adequate to respond fast enough for this. Even today\u2019s processing chips are falling behind and are substituted with GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units). Today\u2019s businesses can respond to customer needs and market shifts only by adopting Artificial Intelligence and machine learning (ML) models. This is quite visible in the world of Banking and Finance. The problem is, it is not so easy to build ML models; it\u2019s a challenge to construct a platform with all the components required to create a model. And there aren\u2019t enough machine learning experts (with PhD degrees) in the world to do that.\u00a0 This is a gap that Google is trying to close.<\/p>\n
Speaking at the Google Cloud Summit, in Mumbai on June 12, we learned just how the company is helping businesses and developers around the world to develop ML models. At the core of its strategy are training, automation, services & frameworks, and of course, the Google Cloud Platform (GCP).<\/p>\n
\u201cGoogle is making it simpler for businesses to build machine learning models by packaging those skills into pre-built model construction frameworks like TensorFlow,\u201d said Miles Ward, Director Solutions, Google Cloud. \u201cWe have made it simpler \u2013 you just need to write a bit of code in Python and get a model done.\u201d<\/p>\n