With AI promising the greatest transformation in many industries, including tax & accounting, we need to begin asking what the implications of this will be. Artificial intelligence (AI) continues to promise the greatest level of transformation within many industries, including tax & accounting. "The global AI market was valued at $62.35 billion in 2020, and is expected to expand at a compound annual growth rate of 40.2% between 2021 to 2028," according to Grand View Research. Given this level of investment, especially among industries like financial services, we need to begin asking what the implications of this technology will be on the accounting profession. According to the 2020 World Economic Forum Outlook Report, the time spent on current work tasks by humans and machines will be roughly equal by 2025.

Businesses today are dealing with huge amounts of data and it's arriving faster than ever before. At the same time, the competitive landscape is changing rapidly and it's critical to be able to make decisions fast. As Jason Jennings and Laurence Haughton put it "It's not the big that eat the small… It's the fast that eat the slow". Business success comes from making fast decisions using the best possible information. Machine learning (ML) is powering that evolution.

The right planning and application of machine learning can help businesses grow, compete and prepare for the future.

Last August, Elon Musk and Jack Ma came together to debate the current state and the future of artificial intelligence. The 2019 World Artificial Intelligence Conference took place in Shanghai, China, where it hosted the debate between Musk, the co-founder and CEO of Tesla, and Ma, the former executive chairman of Alibaba Group. Interestingly enough, Musk spent a good portion of the debate talking about aliens and outer space. Where on Earth (or beyond) did this come from? Musk has a theory that AI will quickly surpass the intelligence level of mankind.

Scenario planning is a commonly used method by companies to develop their long-term plans. Scenario planning for risk management puts an added emphasis on identifying and managing emerging risk. While a variety of methods have been proposed for this purpose, we show that applying AI planning techniques to devise possible scenarios provides a unique advantage for scenario planning. Our system, the Scenario Planning Advisor (SPA), takes as input the relevant information from news and social media, representing key risk drivers, as well as the domain knowledge and generates scenarios that explain the key risk drivers and describe the alternative futures. To this end, we provide a characterization of the problem, knowledge engineering methodology, and transformation to planning. Furthermore, we describe the computation of the scenarios, lessons learned, and the feedback received from the pilot deployment of the SPA system in IBM.

As buzzwords become ubiquitous they become easier to tune out. We've finely honed this defense mechanism, for good purpose. It's better to focus on what's in front of us than the flavor of the week. CRISPR might change our lives, but knowing how it works doesn't help you. VR could eat all media, but it's hardware requirements keep it many years away from common use.

As buzzwords become ubiquitous they become easier to tune out. We've finely honed this defense mechanism, for good purpose. It's better to focus on what's in front of us than the flavor of the week. CRISPR might change our lives, but knowing how it works doesn't help you. VR could eat all media, but it's hardware requirements keep it many years away from common use. Yes, machine learning will help us build wonderful applications.

As buzzwords become ubiquitous they become easier to tune out. We've finely honed this defense mechanism, for good purpose. It's better to focus on what's in front of us than the flavor of the week. CRISPR might change our lives, but knowing how it works doesn't help you. VR could eat all media, but it's hardware requirements keep it many years away from common use.

It's not about what it can do, but the effects of its prioritization As buzzwords become ubiquitous they become easier to tune out. We've finely honed this defense mechanism, for good purpose. It's better to focus on what's in front of us than the flavor of the week. CRISPR might change our lives, but knowing how it works doesn't help you. VR could eat all media, but it's hardware requirements keep it many years away from common use.

As buzzwords become ubiquitous they become easier to tune out. We've finely honed this defense mechanism, for good purpose. It's better to focus on what's in front of us than the flavor of the week. CRISPR might change our lives, but knowing how it works doesn't help you. VR could eat all media, but it's hardware requirements keep it many years away from common use.