Three Transformational Compute Technologies Verified to Accelerate AI and Business Value
Can the Right Infrastructure for Artificial Intelligence Improve Business Outcomes? The field of analytics has long empowered businesses to extract…
Can the Right Infrastructure for Artificial Intelligence Improve Business Outcomes?
The field of analytics has long empowered businesses to extract value from their data. Given the competitive demands of the modern digital economy, however, businesses want and need to do more. Fueled by a desire for greater accuracy along with faster, more predictive, and more granular insights, businesses are turning to the rapidly progressing field of artificial intelligence (AI).
The concept of AI has existed for decades. But now, machine learning (ML), and a subset of ML called deep learning (DL), makes it possible to train AI software faster and help it to deliver far greater accuracy. ML algorithms learn from the data, which empowers the software to make predictions and act on them. These algorithms are now even improving over time, based on the data they collect.
Data offers one of the greatest-ever chances for businesses to achieve a competitive advantage.
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