For beginners, Artificial Intelligence or commonly referred to as AI is a broad branch of computer science used to create machine-like systems to function intelligently and independently. Just like humans, AI technology uses deep learning to recognize patterns in data, solve complex problems, and even generate creative ideas. "AI has been an integral part of SAS (Statistical Analysis System) software for years. Today we help customers in every industry capitalize on advancements in AI, and we'll continue embedding AI technologies like machine learning and deep learning in solutions across the SAS portfolio", says CEO of SAS Jim Goodnight. So, how does AI work?
Machine learning has become an important buzzword in business technology circles, but for the average business owner that phrase probably makes your eyes glaze over, and for some, it may induce angst. But it doesn't have to be so scary or inaccessible. In fact, learning a little can help your business run smarter, faster and more efficiently. At its core, machine learning just means a computer that can learn independent of explicit programming.
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Every year, new advancements within the technology space have assisted businesses by creating new opportunities for customer outreach. One of greatest technologies of our time is Artificial Intelligence (AI) which has been creating quite the buzz in the B2B arena. Even though marketers have tested the waters when it comes to machine learning algorithms, there is still major ground to be covered when it comes to predictive analytics, personalization, statistical analysis as well as lead generation. Given its potential, Artificial Intelligence in B2B sales and marketing is here to transform the way people interact with brands, information and services. A good handful of enterprise giants dread the idea of automating their marketing functions with the use of Artificial Intelligence, however, by measuring the effect of AI in the customer service industry, one can affirm that understanding customer nuance and deriving insights from relevant customer data will not be entirely manual or managed by humans alone.