CTO Guide To Machine Learning
At Google’s I/O conference held recently, CEO Sundar Pichai made one of the most important strategy announcements – the transition from mobile-first to AI-first and machine learning.
At Google’s I/O conference held recently, CEO Sundar Pichai made one of the most important strategy announcements – the transition from mobile-first to AI-first and machine learning.
Enterprises like Google and Amazon are masters at mining and analyzing big data. They are leveraging the knowledge gathered from analyzing big data to achieve an edge over their competitors. Just think about Amazon’s recommendation engine.
Big data analytics maybe the newest kid on the block, but for a large number of industries, it has driven business value and augmented revenue. With ‘Internet of Things’, better connectivity among devices and increased acceptance of business analytics, companies can take advantage of the tremendous opportunities big data provides.
Big Data has the potential to help companies achieve real results by going through cycles of predictive modeling and data analysis. Information technology (IT) executives have attempted to figure out how they can use the four ‘V’s of big data – volume, variety, veracity and velocity.
We live in a hyper-competitive retail space today, where the consumer is not shying away from comparing prices with competitors and posting reviews over the internet. In the past, retailers had to scout out customer information and data to improve their customer service.