Marketing artificial intelligence (AI)
ChatGPT: A marketer’s guide
Knowing ChatGPT's strengths and weaknesses can help you decide where and how to use the tool for marketing campaigns.
Theresa Kushner is passionate about data analysis and how it gets applied to today’s business challenges. For over 25 years she has led companies – like IBM, Cisco Systems, VMware, Dell/EMC – in recognizing, managing, and using the information or data that has exploded exponentially. Using her expertise in journalism, she co-authored two books on data and its use in business: Managing Your Business Data: From Chaos to Confidence (with Maria Villar) and B2B Data-Driven Marketing: Sources, Uses, Results (with Ruth Stevens). Today, as the Data and Analytics practice lead for NTT DATA, Theresa continues to help companies – and their marketing departments -- gain value from data and information.
5 tips to extract true value from your data
How much data does your organization have that might be valuable enough to barter? Here are some tips for getting true value from your data.
5 ways marketing and IT can work better together
What's your relationship with your IT team? Adversarial? Collaborative? Non-existent? Here's how to drive better results with good teamwork.
Marketing artificial intelligence (AI)
Governing AI: What part should marketing play?
With artificial intelligence (AI)/machine learning (ML) models being developed for all kinds of marketing problems, what part should marketing play in developing and monitoring the applications that serve them?
AI and machine learning in marketing: Are you deploying the right models?
Three areas where AI marketing can help: marketing data management, customer intent, and opportunity and purchase prediction.
5 steps to make the most of your reporting and analytics
Ensure that your data provides you with actionable information to help guide your marketing efforts.