Last year was a time of excitement in the machine learning arena as a growing number of startups closed huge funding rounds in 2022. Emerging companies have implemented machine learning solutions to solve administrative and operational hurdles businesses encounter every day. While many machine learning products remain conceptual, machine learning tools are increasingly being adopted by companies worldwide. A number of machine learning companies entered their fourth or even fifth series of funding deals in 2022 and we are starting to see more tangible products, driven by machine learning algorithms, enter the market. With that in mind, let's look at the 10 biggest funding rounds achieved in the machine learning space in 2022, according to research firm GlobalData.

Ever since OpenAI has launched Chat Generative Pre-Trained Transformer (GPT), it has emerged as a trending discussion among the companies across the industries. ChatGPT, which can be useful for a variety of applications such as chatbots, virtual assistants, customer service, and content creation, may offer a competitive advantage in industries where language understanding is critical, says GlobalData. Misa Singh, Business Fundamentals Analyst at GlobalData, comments: "ChatGPT, which is trained using AI and machine learning, is built to provide information and respond to queries through a conversational interface. Businesses are discussing about using this platform to improve their capabilities and provide a user-friendly experience. The platform is anticipated to increase competitiveness in both business and technology." JD.com talks about the Snapshop function, which enables customers to locate products using provided images.

The automotive industry continues to be a hotbed of innovation, with activity driven by electrification, connected vehicles, and autonomous vehicles, and growing importance of technologies such as artificial intelligence (AI), machine learning (ML), cyber security, and cloud computing. In the last three years alone, there have been over 1.2 million patents filed and granted in the automotive industry, according to GlobalData's report on Cloud in Automotive: AI-assisted fault monitoring. However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilising and reaching maturity. Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.

IT services providers that are expanding their portfolios to target environmental, social and governance (ESG) opportunities are making a wise move as many enterprises require assistance developing and implementing ESG-related initiatives, says GlobalData. The leading data and analytics company notes that these companies must continue to adapt to shifting market dynamics to stay ahead of the curve. According to a recent GlobalData survey, 34% of respondents indicate that their company has made adjustments to its ESG initiatives in the last 12 months. Rena Bhattacharyya, Service Director for Enterprise Technology and Services at GlobalData, comments: "For the most part, IT service providers are focusing on the environmental aspect of ESG by offering services and solutions related to sustainability such as carbon emissions assessments and advice on methods for reducing carbon footprints. "Additionally, providers are helping customers implement circularity with strategies targeting reuse, reduce, and recycle initiatives. IT services providers are also embedding the sustainability conversation into the sale of complementary solutions, such as procurement and supply chain-related products, or smart city and fleet management solutions."

The insurance industry continues to be a hotbed of innovation, with activity driven by growing demand for digitalisation and personalisation. With growing importance of technologies such as telematics, machine learning, big data, deep learning, and data science, insurers are overcoming demographic challenges, low penetration rates, cybercrimes and fraudulent claims. In the last three years alone, there have been over 11,000 patents filed and granted in the insurance industry, according to GlobalData's report on Artificial intelligence in Insurance: AI-assisted underwriting. However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilising and reaching maturity. Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.

The retail industry continues to be a hotbed of innovation, with activity driven by supply chain optimisation, technology, and risk mitigation, and the growing importance of technologies such as robotic inventory management and smart checkout. In the last three years alone, there have been over 133,000 patents filed and granted in the retail industry, according to GlobalData's report on Artificial Intelligence: AI-assisted surveillance. However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilising and reaching maturity. Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.

Humanoid robots have long been a common staple of science fiction. Arnold Schwarzenegger killing machines and synthethics like Bishop from the Aliens movies have long been confined to realms of fantasy. However, a wave of innovative tech companies are actively trying to make those visions a reality. "There is a chance that one day life will imitate art and robots and people will look alike," according to a recent report from research firm GlobalData. "If and when that happens, societies will face an ethical conundrum: what rights to give to non-human creatures that look like us?"

The global medical industry experienced a 13% rise in new job postings related to artificial intelligence in Q3 2022 compared with the previous quarter, according to GlobalData's Jobs Analytics. This compares to a 13% increase in the previous quarter and a 39% increase versus Q3 2021. Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 16% share of the global medical industry's artificial intelligence-related total new job postings in Q3 2022, down 11% over the prior quarter. Software and Web Developers, Programmers, and Testers, with a share of 16%, emerged as the top artificial intelligence-related job roles within the medical industry in Q3 2022, with new job postings drop by 11% quarter-on-quarter. General and Operations Managers came in second with a share of 5% in Q3 2022, with new job postings rise by 4% over the previous quarter.

The proportion of pharmaceutical companies hiring for artificial intelligence related positions dropped in October 2022 compared with the equivalent month last year, with 37.4% of the companies included in our analysis recruiting for at least one such position. This latest figure was lower than the 38.6% of companies who were hiring for artificial intelligence related jobs a year ago and a decrease compared to the figure of 39.8% in September 2022. When it came to the rate of all job openings that were linked to artificial intelligence, related job postings dropped in October 2022 from September 2022, with 7% of newly posted job advertisements being linked to the topic. This latest figure was an increase compared to the 3.3% of newly advertised jobs that were linked to artificial intelligence in the equivalent month a year ago. Artificial intelligence is one of the topics that GlobalData, from whom our data for this article is taken, have identified as being a key disruptive force facing companies in the coming years.

With the rise of artificial intelligence (AI) and machine learning-focused healthtech startups in India, big companies such as Oracle Corp are looking for opportunities to invest and expand their footprint in the country. Against this backdrop, AI-enabled made-in-India products will offer advanced healthcare solutions and improve patient care in India, says GlobalData, a leading data, and analytics company. Oracle recently announced plans to expand its data center and application base in India as it sees the country as one of the major contributors in developing AI-based applications for the global healthcare industry. One of the main reasons for choosing India as the destination is the availability of diverse healthcare data for research. The company also plans to improve the scalability of Indian healthtech startups.