In today’s Friday Feeling, a quibble about plurals. I’ve lost track of the number of blogs, podcasts, and videos where the authors – myself included – say, “hey everyone”, “hey you guys”, and variations thereof. Who are we talking to? When you are reading, listening, and watching, it’s just you. I haven’t seen a blog…
Ashley asks, “Assuming everyone adopts AI what will separate finance professionals that are the most successful from everyone else? What will they do differently?” We review the core promises of AI, what AI is and isn’t good at, and what AI is bad at today with a focus on finance professionals. This is how to…
Peter asks, “What do you recommend for content marketing management software, especially for a B2B company?” Great question, and a very common one. Content marketing management needs to fulfill one or more of the following functions: Creation / management of creation Curation and amplification Scheduling Workflows and approvals IAM / ACL Publishing Monitoring Analytics Each…
Updated: Watch this video for more in-depth explanation of 5 different scenarios. One of the axioms of statistics is, “correlation is not causation”, meaning that just because two data variables move together in a relationship does not mean one causes the other. The most common textbook example of this axiom is that consumption of ice…
Melissa asks, as part of the IBM #WinWithAI Summit: “How can enterprises be proactive about data privacy and regulation?” Want to know why we’re having conversations about data privacy and regulation? It’s because marketing has no governance. It’s the Wild West, with CMOs buying every technology available and no one conducting the orchestra. Marketers need…
According to Gartner, 30% of all B2B companies will employ AI to augment at least one of their primary sales processes by 2020. Don’t wait for the future – start implementing now, with today’s technologies. Driver Analysis Prospect and lead qualification Better sales analytics Time-Series Forecasting Sales enablement Sales forecasting Revenue forecasting Text Mining/Natural Language…
In today’s episode, we review the 4 main challenges facing enterprises with data: Volume Veracity Variety Velocity AI is built on data; poor data leads to poor machine models, which leads to poor outcomes. What’s the solution? The Trust Insights 6C Framework for Data is what every company must implement to prepare for AI: Clean…
