Goto

Collaborating Authors

 machine learning centric digital


A Business Leader's Guide to Machine Learning Centric Digital

#artificialintelligence

The overwhelming majority of IT executives in North America either have machine learning programs in place now or plan to have them in the near future. As in the related fields of artificial intelligence and data mining, machine learning is rapidly becoming as essential to 21st century business as email or Wi-Fi.The two leading implementations of machine learning today are: predictive analytics, which reduces uncertainty in decision-making; and recommender systems, which increase cart sizes by suggesting other items that match user preferences. A survey presented by 451 Research and Blazent found that more than two-thirds (67.3 percent) of execs either have or plan to have predictive analytics in place. Nearly the same number of execs (66.7 percent) currently use recommender systems or have implantation projects on the books. Once machine learning systems are in place, execs have found countless use cases for them across all enterprise.



How Data-Driven Businesses Can Benefit from Machine Learning Centric Digital

#artificialintelligence

The advancement of machine learning and artificial intelligence is opening new doors for businesses to make more data-driven decisions at higher accuracy rates. Data and analytics are also changing the way that businesses compete. As leading companies take advantage of the power of big data, and laggards stay behind, the disparity between the two groups will continue to widen in the future. Recently, Forbes has predicted that by 2020, we will have 1.7 megabytes of new information created every second for every human everywhere on the planet. So what does this mean?


How Data-Driven Businesses Can Benefit from Machine Learning Centric Digital

#artificialintelligence

Advancements in machine learning and artificial intelligence (AI) opens new doors for businesses to make data-informed decisions, and if your business does not take advantage of the growing industry of data analytics, your competitors will steamroll ahead. The advancement of machine learning and artificial intelligence is opening new doors for businesses to make more data-driven decisions at higher accuracy rates. Data and analytics are also changing the way that businesses compete. As leading companies take advantage of the power of big data, and laggards stay behind, the disparity between the two groups will continue to widen in the future. Recently, Forbes has predicted that by 2020, we will have 1.7 megabytes of new information created every second for every human everywhere on the planet.