Pagaya Technologies (NASDAQ:PGY) recently completed its business combination with EJF Acquisition Corp. and became a public company with a valuation of around $8 billion. The company has yet to report any formal earnings but I will talk about why I like its prospect in this article. Pagaya is an Israeli company founded in 2016 by the current CEO Gal Krubiner. It is a fintech company that is revolutionizing how financial companies approve and recruit consumers by utilizing AI (artificial intelligence). It enables accurate, real-time consumer credit evaluation through the use of robust AI-driven credit and analytical technology.

Artificial intelligence (AI) promises to be one of the most transformative modern technologies we've ever seen, capable of quickly completing complex tasks that once required thousands of hours of human input. Machine learning is a subset of AI that uses data to improve processes, and also make predictions. It's already being applied to dozens of industries globally, streamlining everything from racing to internet search results. According to one industry report, the machine learning market was worth $1.6 billion in 2017 and is set to explode to $20.8 billion by 2023. That's a compound annual growth rate of 53%, and the following two companies are leading the charge.

Big data in healthcare refers to the massive amount of information created by adopting modern technologies that collect patients' medical records and are used for managing hospital performance. It can be used for a variety of purposes, from curing individual patients to predicting and preventing epidemics and cutting costs. This healthcare technology trend is transforming healthcare as we know it today. The biggest medical systems in the future are going to use devices that will monitor patients' well-being and help medical experts provide high-quality care. Global big data in the healthcare market is expected to reach $34.27 billion by 2022 at a CAGR of 22.07%.

Already behind other countries in nurturing the IT professionals indispensable to a digital transformation, Japan in 2030 is expected to have 270,000 artificial intelligence and Internet of Things jobs that it will be unable to fill. With few graduates holding STEM degrees -- those in science, technology, engineering and mathematics -- Japan sees gloom in its future and the need to invest more in human resources. "We cannot develop a system to forecast demand for products, though we need it," lamented a food-maker executive in charge of digital transformation. Although the company has increased its IT staff by 1.6 times, it has yet to nurture hires familiar with cutting-edge technologies. Japan has a considerable number of IT workers.

Artificial Intelligence has revolutionized many industries in the past decade, and healthcare is no exception. In fact, the amount of data in healthcare has grown 20x in the past 7 years, causing an expected surge in the Healthcare AI market from $2.1 to $36.1 billion by 2025 at an annual growth rate of 50.4%. AI in Healthcare is transforming the way patient care is delivered, and is impacting all aspects of the medical industry, including early detection, more accurate diagnosis, advanced treatment, health monitoring, robotics, training, research and much more. In light of the worldwide COVID-19 pandemic, there has never been a better time to understand the possibilities of artificial intelligence within the healthcare industry and learn how you can make an impact to better the world's healthcare infrastructure. Artificial Intelligence has revolutionized many industries in the past decade, and healthcare is no exception.

According to a draft discussion paper by NITI Aayog, AI is expected to boost India's annual growth rate by 1.3% by 2035. The draft paper titled'Towards Responsible#AIForAll' has been prepared for an expert consultation which was held on 21 July 2020. It has also invited stakeholders to review the document and provide comments on or before 10 August 2020. The Indian government has been quite optimistic about the benefits that AI is going to bring for the overall growth of the country, and may even fund specific research projects in responsible AI. The draft paper suggested that India will see increased adoption of AI across government, private sectors and startup, and academia. It also highlighted various instances raising concern on the ethical use of AI.

This article is the second in a series of insights for IoT in 2020. As 2019 comes to a close, Aeris is making an assessment of the IoT industry, looking toward the year ahead, and highlighting the innovators in IoT and M2M connectivity. The 2010s have seen rapid advancements in machine learning techniques. Bolstered by the Internet of Things (IoT), connected smart devices are enabling automation and predictions at scales never imagined before. According to a report from Zion Market Research, spending around machine learning is projected to reach $20.83 billion in 2024, at a sharp annual growth rate of 44%.

Since its invention in 1955, Artificial Intelligence (AI) has constantly been studied by several researchers and many big firms have invested billions each year just to accomplish one goal -simplifying life. This simulation of human intelligence process by machines, especially computer systems is the base of AI. With wide applications that include natural language processing (NLP), speech recognition and machine vision, the field has lot more to provide than just navigating people to their final destination. Today, nearly 40% businesses use AI to run their daily course. A survey by IBM, clearly shows that the scale of AI's existence will grow to 80% to 90% over the next 18-24 months. In fact, this report proves the myth wrong that AI is replacing human workforce.

It's never a bad time to be an engineer--or to have people skills. LinkedIn's third annual US emerging jobs report has identified the 15 fastest-growing jobs, as well as the skills and cities most associated with them. This year the company found that the number of artificial intelligence and data science roles continue to expand across nearly every industry. For the first time, robotics has made an appearance on the list, and at least five roles in the ranking include the word "engineer" in the title. But it's not just high-tech roles that have seen a lot more hiring action in the past five years, which is how far back LinkedIn looks to measure the emergence of roles based on user profile data and hiring growth trends.

Report Scope: The scope of the report includes, a general outlook of the analytics industry, with the scope limited to reports published during the year 2016, 2017 and 2018. This report covers only advanced analytics, artificial intelligence, and cognitive computing technologies. GNW The advanced analytics market covers the following solutions: software tools, integrated hardware appliances, and services. The advanced analytics market comprises applications for the following industries: banking and financial services, telecommunications and IT, healthcare, government and defense, transportation and logistics, and consumer goods and retail. The AI market covers machine learning, deep learning, and expert systems as these are direct derivatives of analytics.Cognitive computing market in this report covers machine learning and expert systems.