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The big headline at the Gartner Data and Analytics Summit this year was about highlighting the value of data and analytics solutions as well as developing a culture of data enablement.

Imagine what you could do with an extra 13 hours in your work week? What if automating written reports could give you 30% of your work week back?

The AI market is expected to grow to $9.88 billion in 2022, from last year’s figure of $2.61 billion. So how can solution providers take advantage of this growing market and increase adoption rates?

Today, AI is truly everywhere. From phone apps to advertising, to home devices like Alexa and Google, AI already has a strong influence on our daily lives.

The term Artificial Intelligence has been the center of debate, speculation, and even fantasy for years, if not decades now.

re you part of the 90 estimated million users that have used a voice assistant last month? More and more people are using voice commands within their daily routine, so it’s becoming common place for users, especially those under 50.

According to Accenture, AI has the potential to save the US healthcare economy $150 billion in annual savings by 2026.

According to McKinsey, there is “a second wave of automation and AI emerging in the next few years, in which machines will do up to 10 to 25 percent of work across bank functions, increasing capacity and freeing employees to focus on higher-value tasks and projects.”

What makes a CRM successful? While answers range from CRM usage to features and User Experience, one of the most common responses is data integrity. Whether you work in a call center, back office, sales or marketing, accurate data is critical.

Last week, I talked about a common misconception about Artificial Intelligence: all AI technology is a black box. While this may be true for some instances, this isn’t the case for all forms of AI