Expert Advice for Marketing Leaders on MarTech, AI, & CX
Ideas, insights, and best practices on marketing technology stacks.
Let’s explore a standardized approach to adopting AI within your organization and how it can enable your marketing team and other parts of the organization to operationalize AI and its component parts within the business.
Preparation is key for meaningful adoption of artificial intelligence (AI) in the enterprise.
One of the key benefits of utilizing the cloud for data analytics is the concept of data democratization.
Marketers have a unique relationship to the data within an enterprise, thus
data science is increasingly a topic of conversation among their teams.
The presence of disconnected systems and unclean data poses a significant challenge for organizations, as it hinders the effective use of AI technologies.
Prioritizing impactful use cases for Artificial Intelligence implementation in a B2B setting is crucial for achieving success and maximizing the return on investment.
Collecting and analyzing customer interactions is crucial for brands in
today’s digital age.
The last article of the series will look at workflow automation or robotic
process automation (RPA), or AI-based tools that enable repetitive tasks to be performed by software rather than humans.
Written by Greg Kihlström for Forbes Agency Council. There comes a time in a website’s life when it needs to be improved. You might start hearing
anecdotes that your sales team stops sending anyone there because it is
“out of date” or your SEO traffic is tanking because your code doesn’t take into account the latest best practices.
This article was based on a recent podcast interview with Scott Love of
Lovelytics. We talk about artificial intelligence and machine learning in
the enterprise, where it is today and where it’s currently headed, as well
as the role of place in building talented data and technology teams.
