Want to know how artificial intelligence will change business in the next decade? World-class Kaggle Grandmasters, top data professionals, and influencers across several industries are gathering to inspire you with the most exciting data science advances. At NVIDIA GTC, they'll show you how to build and optimize AI and data science solutions that are faster, more efficient, and yield better results than previous solutions. Every year, new data science techniques and tools emerge. Some practitioners build their ideas upon published papers. Others try their hand at entirely different methods based on what they learned during their thesis work or even Kaggle competitions.

As the leading cloud provider, Amazon Web Services offers numerous tools for a variety of applications. The sheer number of offerings can be overwhelming and it may not be so clear which tools are worth using. The following outlines a number of advanced tools that may be relevant to data scientists and explains how they can be useful. This is by no means an exhaustive list but should provide some insights as to the basic, essential tools available. There are a number of scalable storage options for data science needs, including data lake and data warehousing services. Data scientists typically require storage options that go beyond the capabilities of Amazon Simple Storage Service (S3).

By Shweta Gupta Technological advancement and digital innovation in the last few years have been instrumental in defining the success of businesses. However, SMEs today are still hesitant to adopt new and emerging technologies such as AI and data science. One of the reasons that make them skeptical is the perception that AI implementation isn't suitable for small companies due to the lack of resources and adequate funds to deploy AI-powered tools. What and How AI & Data Science can be leveraged by SMEs? In today's dynamic business culture, you don't necessarily have to be a big company to reap the concomitant benefits of technologies such as AI.