When scaled, AI can become a key enabler of your strategic priorities-and even a lynchpin to survival: Three out of four C-suite executives believe that if they don’t scale artificial intelligence in the next five years, they risk going out of business entirely. In this way, AI helps businesses adapt at speed, with a regular stream of insights to drive innovation and competitive advantage in a world of constant disruption. (product recommendations are a prime example.) This ability to self learn and self optimize means AI continually compounds the business benefits it generates. Thanks to machine learning and deep learning, AI applications can learn from data and results in near real time, analyzing new information from many sources and adapting accordingly, with a level of accuracy that’s invaluable to business. No wonder 84 percent of C-suite executives believe they must leverage AI to achieve their growth objectives.Īrtificial intelligence is not just about efficiency and streamlining laborious tasks. Companies that scale successfully see 3X the return on their AI investments compared to those who are stuck in the pilot stage. Even more compelling, however, is the ability of AI to drive growth.
Automation cuts costs and brings new levels of consistency, speed and scalability to business processes in fact, some Accenture clients are seeing time savings of 70 percent. With the enablers now in place, organizations are starting to see how AI can multiply value for them. These treasure troves are a boon to the growth of AI.Ī critical source of business value-when done rightĪI has long been regarded as a potential source of business innovation. Companies now have access to an unprecedented amount of data, including dark data they didn’t even realize they had until now. So, why is AI usage reaching critical mass today?īecause of the proliferation of data and the maturity of other innovations in cloud processing and computing power, AI adoption is growing faster than ever. That’s why human-machine collaboration is crucial-in today’s world, artificial intelligence remains an extension of human capabilities, not a replacement.Īrtificial intelligence has long been a subject of anticipation among both popular and scientific culture, with the potential to transform businesses as well as the relationship between people and technology at large. data processing), this fully realized vision of general AI does not yet exist outside the silver screen. While machines can perform some tasks better than humans (e.g. General AI is more like what you see in sci-fi films, where sentient machines emulate human intelligence, thinking strategically, abstractly and creatively, with the ability to handle a range of complex tasks. But, with the right application, narrow AI has immense transformational power-and it continues to influence how we work and live on a global scale. These systems are powerful, but the playing field is narrow: They tend to be focused on driving efficiencies. Software that analyzes data to optimize a given business function.Most of what we experience in our day-to-day lives is narrow AI, which performs a single task or a set of closely related tasks. Some go even further to define artificial intelligence as “narrow” and “general” AI. Each one is evolving along its own path and, when applied in combination with data, analytics and automation, can help businesses achieve their goals, be it improving customer service or optimizing the supply chain.
Technologies like machine learning and natural language processing are all part of the AI landscape. Maybe that’s why it seems as though everyone’s definition of artificial intelligence is different: AI isn’t just one thing. Artificial intelligence is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence.
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