Computationally analyzing Big Data is not a passing trend. As volumes of data continue to grow, so will the improvements in analyzing big data. When it comes to applications of Predictive Analytics, we have only seen the tip of the iceberg. It has already helped organizations (i.e. All of these different types of Artificial Intelligence are tied together in a way that has profoundly changed the way we perform everyday tasks, and more is yet to come.
Using the CB Insights platform, we track where AI is heating up, from health to entertainment. Since 2013, over 3.6K AI startups have raised equity funding globally. The majority of these companies -- like unicorns UiPath, Automation Anywhere, and Face -- sell AI software-as-a-service. Others use AI to develop their core products, including Indigo Agriculture, which leverages machine learning to develop microbial seed treatments. Some other startups -- such as Graphcore, Habana, and Cerebras -- focus on hardware to support AI workloads.
Most of us are wondering about "what's next for AI in 2019 leading up to 2020?" Some of us might be wondering about "Singularity". Others are still thinking, "AI is all hype and no action" (Although this subset is on the decline). All valid questions to ponder upon. Artificial Intelligence has made substantial progress in 2018.
During 2018, we witnessed a dramatic rise in the platforms, tools, and applications based on Machine learning and artificial intelligence. These technologies not only impacted software and the Internet industry but also other verticals such as healthcare, legal, manufacturing, automobile and agriculture. We will continue to see the advancement of ML and AI-related technologies in 2019 and beyond. Companies such as Amazon, Apple, Facebook, Google, IBM and Microsoft are investing in research and development of AI, which will benefit the ecosystem in bringing AI closer to consumers. Unlike other software, AI heavily relies on specialized processors that complement the CPU.