The AI in Enterprise Accounting Market has witnessed continuous growth in the past few years and is projected to grow even further during the forecast period (2020-2025). The assessment provides a 360 view and insights, outlining the key outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions for improved profitability. In addition, the study helps venture or private players in understanding the companies more precisely to make better-informed decisions. The AI in Enterprise Accounting Market study covers current status, % share, future patterns, development rate, SWOT examination, sales channels, to anticipate growth scenarios for years 2020-2025.

Recently, Deloitte announced the launch of the Deloitte AI Institute – a centre that focuses on artificial intelligence (AI) research, eminence and applied innovation across industries. The institute is said to apply the cutting-edge research to help address a wide spectrum of relevant AI use cases and bridge the ethics gap surrounding AI. The Deloitte AI Institute brings together the brightest minds and research in #AI to advance human-machine collaboration in the Age of WithTM and address a wide spectrum of use cases. In a blog post, Nitin Mittal, AI co-leader and principal, Deloitte Consulting LLP said, "The Deloitte AI Institute is being established to advance the conversation and development of AI for enterprises." He added, "Our goal is to blend Deloitte's deep experience in applied AI with a robust network of some of the most intelligent AI minds in the world to challenge the status quo. Through the power of this centre, we aim to deliver impactful and game-changing research; and innovation to help our clients lead in the'Age of With,' a world where humans work side-by-side with machines."

Because AI often learns and behaves like a human, it presents many of the same kinds of risks that a company faces in its human workforce. As such, without effective safeguards, AI might act in ways that are unpredictable or have unintended consequences. Achieving trustworthy AI that is responsible and ethical requires effective governance in every phase of the AI life cycle. Waiting until after problems arise can have significant legal, regulatory, and financial repercussions. It can also cause significant reputation damage and embarrassment for a company and its leaders.

The breadth of intelligent applications the BigML platform can support spawn many new opportunities for BigML partners to get involved in delivering Machine Learning-based solutions. Our certifications are perfect for software developers, system integrators, technology consulting, and strategic consulting firms to rapidly get up to speed with Machine Learning and the BigML platform as they acquire and grow their customer base.

GlobalData research has found the top artificial intelligence (AI) influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in artificial intelligence on Twitter during May 2020. Ronald van Loon is a recognised thought leader in technologies including AI, big data, IoT, machine learning, deep learning, 5G, predictive analytics, cloud, edge and data science. He currently serves as principal analyst and CEO of the Intelligent World, an influencer network that connects experts, businesses, and influencers to new audiences, helping them collaborate, create and share diverse content. Loon is of the opinion that AI has progressed at a furious pace over the past few years, and though it has usurped large chunks of the big data, the technology is nowhere near human intelligence.

Again, while the future of work is still uncertain, there are a number of commonly agreed upon outcomes that are being shaped by these disruptors, at least directionally. The people side of these disruptions seem slightly more predictable over the short-term as many of the changes are driven purely by demographics and personal preferences. For example, Millennials, close to 35% of the global workforce are different than their predecessors (Gen X and the Baby Boomers) in a number of key ways. They tend to be more activist and have a broader reach due to social media. They are taking greater stands against injustice they see in the work place and in society, demanding their employers follow suit. They prefer flexibility in terms of schedules, work-life balance and even locations. They are also far more diverse. The work force of the future will be increasingly non-white and non-Western (there are more Chinese Millennials, approx.

Legend has it that when an emperor asked an inventor to name his reward, the inventor asked the emperor for payment in the humble grain of rice, giving the inventor the total gained by doubling a single grain of rice over a 64-square chessboard. In the end, the final squares had exponential mountains of rice. The velocity of technology advancement, especially for the manufacturing industry, is no different--it's exponential. Despite its lower digital maturity and research and development (R&D) investment than other industries,1 the manufacturing industry has been successful in gradually furthering its innovation agenda by increasing its patent-based innovation intensity to build new product and service capabilities. Continuous advancement will likely become critical to the success in an ecosystem that industry leaders believe is nearing the "second half of the chessboard."2

AI is developing at whirlwind rates. While nobody can say for certain how it will impact our work and personal lives, we can make a good few educated guesses. Also, with COVID-19 limiting human interaction in the built environment, advancements in AI and automation are on course to accelerate (providing funding is available, of course). The age-old fear among some of the population is that AI will displace workers, leading to high levels of unemployment. A report by management consulting firm McKinsey shows that between 400 million and 800 million individuals across the globe could be "replaced" by automation and need to find new jobs by 2030.

When you hear the word "automation...", does your mind skip straight to "…destroys jobs"? If so, there should be a few stops in between. Automation is about removing friction, driving down costs, speeding processes up, and generally improving efficiency. Making goods and services better and cheaper is a good thing: it makes us all richer. There is scope to do this in all walks of life, and not least in professional services, such as accountancy and the law.