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Data analytics, robotic process automation (RPA) and other technology advancements are transforming how organizations conduct business. What receives less attention, however, is the fact that technology transformation is also disrupting who organizations hire and develop to design and perform increasingly data-driven business processes throughout the enterprise.
It’s been just over two years since a group of scientists and technologists including Elon Musk, Steve Wozniak and Stephen Hawking published their concerns about escalating military applications of artificial intelligence (AI). Since then, the topic has received plenty of press.
An audit firm that’s using cognitive technology to extract key terms from contracts … a bank that deployed a lifelike intelligent-agent avatar for its IT support help desk … a cancer center that uses artificial intelligence (AI) to improve hotel and restaurant recommendations for patients’ families … These are just a few of the examples of how companies are capitalizing on AI, as described in a new Harvard Business Review article Artificial Intelligence for the Real World.
If you’re intrigued by the astounding rise of artificial intelligence in our personal and professional lives, you’ll enjoy this article in the MIT Technology Review: “The Great AI Paradox” by Brian Bergstein.
As organizations increasingly use self-service data preparation tools, tax professionals should distinguish between generic versions of these applications and domain-specific self-service data prep tools that address the unique demands of tax management requirements.
As digital innovation sweeps through business processes, including those within the tax function, it’s increasingly important for tax leaders to understand how the transformation looks from the board’s point of view.
Artificial Intelligence (AI) has had a checkered development history over the decades. Periods of heavy funding have alternated with stretches of diminished interest from academia, businesses and governments – until recently.
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