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Machine Learning > Features
With its ability to analyze large datasets, adapt to new information, and provide personalized and accurate insights, Machine Learning is fundamental to many advancements in technology and how enterprises use data to improve business outcomes, including data-driven decision making, task automation, process optimization, advanced problem solving, and real-time analysis.

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The Rise of GenAI and LLMs

In 1950, Alan Turing suggested a test to determine if computers could mimic human intelligence well enough that an impartial observer could no longer tell the difference. We are still talking about the Turing Test almost 75 years after its inception.

Artificial Intelligence (AI): Top Ten Trends

Owing to its potential, AI is one of the most active areas of technological development, particularly in process automation, revolutionizing how we work. In a fast-paced environment where one development, like OpenAI's ChatGPT, can impact the world literally overnight, many enterprise leaders are understandably curious - even anxious - about current and coming AI trends, hoping to leverage artificial intelligence platforms to improve their productivity, profitability, and competitiveness.

Enterprise Uses for Artificial Intelligence

Artificial intelligence (or AI) is the simulation of human intelligence processes, especially learning and adaptive behavior, by machines. Among other uses, AI is employed by enterprises to power a wide variety of business and consumer applications, such as sifting through mountains of Big Data to extract precious business intelligence or permitting a vehicle to drive itself.