… happening including data connecting to data, which is machine learning. Artificial Intelligence is fuelling everything including marketing, …

Big data analytics and artificial intelligence (AI) have transformed many aspects of our lives. It is no surprise that AI has been generating major media interest all around the world. What is usually less noted is the vital role that artificial intelligence can play in the social sector. AI is already impacting society -- from the way we support our families to the way workers do their jobs, AI is everywhere! Here is everything you need to know about how AI has been impacting our lives when it comes to critical social domains. Agriculture involves a variety of factors that like temperature, soil conditions, weather, and water usage.

Artificial intelligence and its applications have made a significant impact on nearly every industry. Defined as a technique enabling machines to mimic human behaviour, brands are using AI to automate processes at an increasing rate. We see this at many points of brand interaction – site suggestions on our search engine, lane assistance in passenger vehicles, and app troubleshooting, to name a few. It has been around for almost 50 years, learning constantly, almost on a daily basis. As we evolve and become more efficient, and artificial intelligence learns to better emulate human intelligence, businesses benefit from increased process and operational efficiencies.

The world has seen an unprecedented challenge and is battling this invisible enemy with all their might. The Novel coronavirus spread has left the global economies holding on to strands, businesses impacted and most people locked down. But while the physical world has come to a drastic halt or slow-down, the digital world is blooming. And in addition to understanding the possibilities of home workspaces, companies are finally understanding the scope of Machine Learning and Artificial Intelligence. A trend that was already gardening all the attention in recent years, ML & AI have particularly taken the centre-stage as more and more brands realise the possibilities of these tools.

Bayesian deep learning, Graph CNNs and Gauge Equivariant CNNs, and in power efficiency for AI via compression, quantization, and compilation are a few topics @Qualcomm's @wellingmax shared with us in our recent conversation.

AI / ML are the undercurrents changing digital landscape. It is not very well understood on how they will exactly impact the fintech sector. Specific actionable use cases are still being debated. Corporate are slower to respond than start-ups. The speed of adoption can be accelerated if the specific uses cases and benefits are defined and measured from customer perspective.