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AI for the enterprise transmitted directly from Mars
This article is part of the Business Information issue of June 2018, Vol. 6, No. 3
Those indomitable words intoned by Neil Armstrong, "That's one small step for a man, one giant leap for mankind," when he set foot on the moon in July 1969 poignantly signaled a new era in the history of civilization. For card-carrying members of the baby boomer generation who huddled around their family TVs and watched in real time the images of two ghost-like humans kicking up dust on the lunar surface, that seminal moment inspired midsummer night's dreams of one day becoming an astronaut. As an 8 year old living in Amman, Jordan, and watching that historic moonwalk, AJ Abdallat had high hopes of becoming an engineer, not knowing then how closely intertwined his childhood ambitions would eventually be with NASA and the space program. Fast-forwarding nearly 50 years, "I'm an engineer by training and an entrepreneur," Abdallat proclaimed. "I have a passion for technology and taking technology to the commercial space. I'm going to look for real pain in the market and then try to solve those kinds of problems." Real-world problems...
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Features in this issue
If your organization plans to implement AI into its workflow, be sure to develop a sound strategy and provide the necessary training to get the most out of the software.
Amid the proliferation of AI and cloud-based apps, marketers acknowledge and take partial blame for problems encountered along the way to improving their CRM capabilities.
Azure, AWS and Google are popular public clouds. But not all CRM systems are interchangeable with each of them. Experts break down the decision-making process.
Columns in this issue
AI tools in CRM help companies deliver hyper-personalized customer experiences but prevent customers from actually having personal interactions with service agents.
For marketing intelligence to explore new frontiers and achieve its ultimate goal, chief marketing officers may find their CRM applications were once developed by NASA and tested in space.
Planning, patience, trial and error and a business-minded team approach are the keystones to developing chatbots with human-like qualities that seamlessly assist customers.