Growth Series BLOG

Its a Premium BLOG template and it contains Instagram Feed, Twitter Feed, Subscription Form, Blog Search, Image CTA, Topic filter and Recent Post.

All Posts

Myth vs Reality in Artificial Intelligence

I was invited to write an article for TeleTech's quarterly publication Customer Strategist called "Five Myths about Artificial Intelligence".  You can go there to read the full article but it boils down to this.  

Myth 1: AI algorithms can magically make sense of any and all of your messy data. 

Reality:  AI is not “load and go,” and the quality of the data is more important than the algorithm.

 

Myth 2: You need data scientists, machine learning experts, and huge budgets to use AI for the business.

Reality: Many tools are increasingly available to business users and don’t require Google-sized investments.

 

Myth 3: “Cognitive AI” technologies are able to understand and solve new problems the way the human brain can.  

Reality: “Cognitive” technologies can’t solve problems they weren’t designed to solve.  

 

Myth 4: Machine learning using “neural nets” means that computers can learn the way humans learn. 

Reality: Neural nets are powerful, but a long way from achieving the complexity of the human brain or mimicking human capabilities.  

 

Myth 5: AI will displace humans and make contact center jobs obsolete.

Reality: AI is no different from other technological advances in that it helps humans become more effective and processes more efficient.

 

While there is a lot people have wrong about AI there one thing we can be sure of.  Change is coming and what you need to do now is be ready for it by getting your data house in order.  Again you can read the full article here:  Five Myths about Artificial Intelligence.

Seth Earley
Seth Earley
Seth Earley is the Founder & CEO of Earley Information Science and the author of the award winning book The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable. An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. He has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance.

Recent Posts

The Comprehensive Ecommerce and Marketing Guide for B2B Manufacturing and Distribution

Today, every B2B  is subject to similar expectations as top-tier B2C brands: providing customers with multiple channels in which to order, more personalized shopping experiences, and quick delivery of information are essential. The B2B brands that maintain customer-centricity will create a competitive advantage.

5 Key Product Taxonomies and How They Drive Your Business

If you Google “taxonomy” you will learn that it is the branch of science concerned with classification, especially of organisms. However, taxonomy as a system of hierarchical classification also plays a crucial role in the context of business.

5 Proven Strategies That Boost Customer Engagement

An effective customer engagement strategy is table stakes to compete in both the B2C and B2B markets today. Top brands commit to being customer-centric in everything they do and create.