Machine Learning (ML) is extensively considered as a major factor responsible for driving digital transformation. According to a report titled Machine Learning in 2019: Tracing The Artificial Intelligence Growth Path, ML will reach cumulative investments of $58 billion by the end of 2021. Here we have analyzed five trends that will shape the future of most prominent and fastest-growing technology'Machine Learning' in the next few years. To stay ahead of the curve, read to discover trends and predictions about the Internet of Things (IoT), Digital Transformation, Supply Chain and Blockchain technologies for 2019. Machine learning as a service (MLaaS): There is a great likelihood of machine learning being offered as a cloud-based service given its increased incorporation in business applications in recent times.

Artificial Intelligence is picking up momentum in supply chain management and logistics. Research by Forbes Insights demonstrates that relatively 65% of high-ranking transportation-centered executives believe that transportation, logistics and supply chain processes are going through an intense transformation. The evolution of artificial intelligence (AI), machine learning(ML) and other technologies carry great potential for disruption and innovation and are driving change within the industry today. AI computing techniques, for instance, machine learning, deep learning and natural language processing (NLP) help streamline the process of scrutinizing large volumes of data amassed from the supply chain and logistics. These techniques, when employed, deliver a sophisticated and refined analysis, initiate a function or an event centered around the results of the analysis, provide requested information, and perform several other complex functions.

Artificial intelligence (AI) has so far sustained its status as the key driver of digital innovation because a number of eye-catching projects have come to fruition. Artificial intelligence is changing the basic structure of every industry in areas ranging from decision-making and computing, to robotics, agriculture, retail and even cosmetics. The founder of Microsoft, Bill Gates, recently stated in an interview that'AI can be our friend and AI is just the latest in technologies that allows us to produce a lot more goods and services with less labor." We hear substantial Artificial Intelligence (AI) news every day, from its quantum leap breakthrough performance to dire forewarnings. While the businesses potentially stand to benefit the most from AI, there is a need of protection against any unintended consequences of the technology. Our trends for 2018 on Big Data, Digital Transformation and Internet of Things have been widely received on all social networks. To move beyond the hype and look to the immediate future, we have come up with key trends for AI in the years ahead. While the total market size for AI will almost have a twofold increase on a yearly basis, AI will still outgrow the phase of inflated expectations. In 2018, 70% of the enterprises expect to implement AI over the next 12 months, up from 40% in 2016 and 51% in 2017. As machine learning and neural network technology take on more routine tasks, real progress towards augmenting human productivity and driving value from tedious tasks will be seen in 2018. AI will erase the boundaries between structured and unstructured data-based insights. Counselor-chatbots with the ability to recognize human emotions will be developed in 2018. In a recent Forbes article, contributor Daniel Newman states, "Humans simply can't keep up with the speed at which technology--and customer demands--are moving.

The place where robotics, not just software, has become embedded everywhere. Everything has a smart sensor. Of course, many people refer to this trend as the Internet of Things (IoT), but we don't like that term because it doesn't tell you what those things are. These are just a few of the tens of thousands of different types of sensors in the world, all for different use cases. You can see how combining different types of data with a new kind of intelligence and hardware can give you new forms of world-changing technologies that never existed before. At the highest level, all of these things are considered robotics.