The dawn of AI is a revolutionary step for the digital world. AI matures the brains of intelligent machines and fuels the innovations to derive maximum value from every business process. Sources said that AI will grow with a compound growth rate (CAGR) of 39.4% in 2022–2030. And in this period, the business process will be fully automated, and, to shape the futuristic plans, organizations will also vouch for their money to leverage AI in their workforce. If you are a business owner, it is high time to kick in something extraordinary in your business process.

Today, AI is pretty much an essential component of any digital transformation strategy with its ability to help solve business problems at scale and speed. According to a recent Research And Markets report, the global enterprise AI market was valued at $4.68 billion in 2018 and is projected to reach $53.06 billion by 2026, registering a compound annual growth rate of 35.4% from 2019 to 2026, making AI one of the fastest-growing technologies in recent years. The strength of the AI market also shone through during the pandemic as many organizations continued to invest in AI to help them adapt, and even thrive, during one of the most challenging business environments imaginable. That said, while businesses have started to realize tangible benefits from AI, there are still a number of yet-to-be-proven AI technologies in the early stages of the Gartner Hype Cycle. Even though AI emerged as a competitive differentiator well before the first quarter of last year, it has arguably become even more important for businesses as they navigate the world we live in today and look ahead to a post-pandemic world.

AI or Artificial Intelligence is the next big thing in the world of ever changing technology. In a recent survey, almost 95% of the top leaders and CEOs agreed that the AI era has just begun and soon most business firms will start integrating AI into their business directly or indirectly. The AI-enabled transformation has already gotten noticed in several business outlets. Starting from automated messages on Facebook, chatbots on websites to intelligent AI-enabled data--everything you see is AI-powered now. AI will oversee intelligent supply chain applications for various business concerns.

CEO at VRIZE, helping clients accelerate digital transformation. For technology professionals, business leaders and observers, the news is hardly surprising. Back in April 2020, as the pandemic raged on, Microsoft's SEO, Satya Nadella, presciently noted, "We've seen two years' worth of digital transformation in two months." A big part of this digital transformation was led by artificial intelligence. The pandemic has only accelerated this growth, as the walls around artificial intelligence research and development are rapidly starting to drop everywhere.

Emerging technologies, such as artificial intelligence and machine learning, will play a leading role in influencing operational efficiency and business decision-making in 2022. The reliance on these technologies is such that according to Gartner, the worldwide AI software market will reach $62 billion in 2022. Let's hear from experts on ways AI will evolve in 2022 to enable new use cases for businesses of all sizes. Myles Gilsenan, the vice president of data, analytics, and AI at Apps Associates, believes that AI will continue to evolve and transform industries, businesses, and our day-to-day lives. "2022 is shaping up to be an important evolutionary year as a broad array of AI disciplines are becoming more mature and easier to build and deploy," he said.

Artificial intelligence (AI) is impacting the future of virtually every industry and every human being on the planet. Artificial intelligence has been established as the main driver of emerging technologies such as big data, robotics, and the Internet of Things (IoT). Moving into 2021, Artificial Intelligence will continue to act as a main technological innovator for the foreseeable future. The next decade will see an unprecedented fast development and adoption of existing and emerging technologies. This development will be driven toward pushing digital acceleration forward.

As 2019 winds down, we're recapping some of the biggest machine learning trends of the year, while giving you a preview of the one trend we think will play the biggest role in shaping the year to come. Throughout 2019, machine learning adoption has grown exponentially. In fact, in the first quarter of this year alone, investors allocated nearly $43 billion in funding globally to developing machine learning applications and platforms. But it's not just the growth we saw that made headlines. Let's take a look at four machine learning trends that we believe defined the past 12 months.

A report by research firm IDC in September said global spending for AI systems will reach $97.9 billion in 2023, a staggering increase from the projected $37.5 billion that will be spent this year. That means the annual growth rate will be 28.4 percent over the next several years. That's not surprising as BigTech is primed to increase their monopoly status in the 2020s with AI leadership that will boost GDP via machine learning with the emergence of an automation economy. Over the last few years, we have seen an exponential upthrust in the number of platforms, applications, and tools based on machine learning and AI technologies. We are seeing greater mainstream impact of algorithms, and machine learning in regular jobs across a variety of industries.

Today, everyone is discussing the most recent trends in the field of Artificial Intelligence (AI). All through the year, you've watched an exponential up-thrust in apps, platforms, and tools for machine learning and artificial intelligence. These technologies are being used in fields, including healthcare, financial services, agribusiness, manufacturing, and more. What does the future hold? You can expect many new innovative applications using emerging technologies.

Today, everyone is discussing the most recent trends in the field of Artificial Intelligence (AI). All through the year, you've watched an exponential up-thrust in apps, platforms, and tools for machine learning and artificial intelligence. These technologies are being used in fields, including healthcare, financial services, agribusiness, manufacturing, and more. What does the future hold? You can expect many new innovative applications using emerging technologies.