Marketing Analytics, Data Science and Leadership – February 17, 2020 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science and leadership you should be reading.

AI, automation, and the cybersecurity skills gap via @venturebeat

We checked in with key people from across the technology spectrum to see how the cybersecurity industry is addressing the talent shortage and the role AI, ML, and automation can play in these efforts.

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Observability for Data Engineering via @kdnuggets

To really gain Observability, you need execution metrics (CPU, time to run, I/O, data read and write), pipeline metrics (how many tasks in pipeline, SLA of each task), data metrics, and ML metrics (R2, MAE, RMSE) in one place and a dedicated system that can make sure your logs are accurate and statuses are in sync.

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Google’s Meena is impressive, but AI chatbots are still cheap imitations of humans via @bendee983

Sequence to sequence models are especially good for language-related tasks such as translation and question-answering.

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The Podcasting Starter Guide: 7 Tips to Make a Successful Podcast via @jonleeclark

Having keywords in your podcast title, subtitle, and description should just make it a little easier to find and rank, and can definitely help your podcast’s success.

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How Big Data Can Make Any Of Us Like Sherlock Holmes via @smartdataco

You should be aware of the different data analytics tools available to you and use them to your fullest advantage.

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