By J.T. O'Donnell Last week, I wrote about the 4 words that control most career decisions. I was hoping to point out how, in this economy, our country is seeing first-hand why evaluating a person based on what they do for a living is flawed. At the end, I suggested that people stop asking "What do you do?" and start asking, "What do you like to do?" This simple change in approach offers so many benefits. Here are just few: 1) You get the person talking about something they love, which makes them happier. 2) You get to witness the person become relaxed and happy, which will make you feel better. 3) You'll get to know the person more deeply, an important part of effective professional relationship building. 4) The person will remember your interest in them, increasing their respect for you. Need I say more? So, here's my challenge: Ask as many people today as you can what they like to do. Then, come back here and post your experiences. Share with readers the reaction you got and the impact it had. Let's build a post that showcases the power of this simple action. Hey, I'll start: What do YOU like to do? Tell me below so I can get to know you better!
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People working at a call center
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“Do you really want to work in a contact center?”

Let’s be honest: five-year-olds don’t dream about working in a contact center when they grow up. Proud parents never boast about their children working in contact centers. Teachers at private schools never recommend students to work in contact centers.

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The Data Science ROI Of Moving To The Data Lakehouse
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Many CDOs/CDAOs (and even CMOs) have raised some interesting questions about these three data management and data science titans: Snowflake, Databricks, and DataRobot. Some of the questions include:

  • Can Snowflake replace the CDP?
  • Do I need Databricks if I have ML Ops capabilities or other capabilities that are similar?
  • What is the difference between DataRobot and Databricks?
  • How do we prevent the siloing of marketing data and smooth access by other domains?
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