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Edition #12 - August 19th, 2020
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Happy Wednesday!
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Tomorrow, like every Thursday, is my happy learning day. Being an eternal student for the last two decades enabled me both to offer the world what interested me the most, and to adjust my value proposition to the ever-changing needs of clients and prospects. However, it wasn't always like that. Before I became an independent consultant, almost 19 years ago, employers did not really support my learning. In 2020 it sounds silly, but back then, learning at work, and in my case, reading articles that were related to my projects, was quite unacceptable. I was even told to read in my free time, at home. And so, I decided to create the right conditions for my learning, and running my own business was a reasonable way to do that back then. Fast-forwarding twenty years, I am even more fortunate, leveraging technology to learn from brilliant colleagues and experts, constantly and easily, without leaving my room, or while walking the dog. So, what are the plans for tomorrow? I'll be learning from Max and Dave about effective links between HR activities and financial outcomes. I'll listen to Ben and others to expand my knowledge about HR-tech. I'll also explore the work of Anna's HR analytics students from NYU. Join me on my learning celebration!
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Thoughts and Articles
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Here's an amusing attempt to compare my performance as a data scientist to the performance of AI and data science automation, that I made in 2017. I used this article again when I talked lately about predicting employee attrition, in the last cycle of my course "The People Analytics Journey". It is not an easy task to demonstrate students how predictive analytics is done, because their brains are still wired by the limits of statistical inference. Eventually, this will change, when academic programs update their introductory courses. Till then, I'll keep insisting to expose HR leaders to AI backstage.
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Predicting Employee Attrition: R vs DMWay
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This article demonstrates how to predict employee attrition, using logistic regression in R programming vs DMWay software. It also encompasses some background
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My Collection of People Analytics Tutorials
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People Analytics tutorials and simulations, including Predicting employee attrition, Gender pay gap, Employee engagement survey, the Employee evaluation process
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Tweets and Treats
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A selection of contents I liked and shared this week,
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The way we speak and write can reveal early indications of psychosis. Computers can spot those signs. What if such tech falls to the hands of the wrong employer? when legit work data become protected medical data?
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Ethics in Workforce AI
Monthly Review
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Part of my continuous learning, collaboration, and contribution is a comprehensive resource list, updated monthly. It includes four categories: strategic thinking, practical advice, product reviews, and a social context.
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People Analytics and HR-Tech reading list
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Let’s face it. There are too many professional books one can read in a lifespan. This list of People Analytics and HR-Tech books is not exceptional. I won’t be able to complete reading all of it …
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A Lighthouse in the Rough Seas of HR-Tech
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Sailing the rough seas of HR-Tech solutions? This List may be your lighthouse. Find here links to HR-Tech innovation and solutions, sorted in ten main categories, based on employee life-cycle ...
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More Learning Opportunities and Recognition
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Thanks for meeting me outside of this People Analytics blog! When I started this blog, I chose one of my photographs, that presents cranes, for the main page. Cranes are a great metaphor ...
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if you missed the sneak peek into the introduction of my book draft a couple of weeks ago, here's another opportunity. Thanks again for everybody who called me or texted me, for feedback and encouragement. It means a lot to me! This book will connect all my dots. and will offers learning and development while enjoying, just like the spirit of my blog. So, stay tuned for more samples in the coming weeks.
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About this newsletter
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The old blog that you've been following at LittalShemerHaim.com was migrated to Littalics.com. The migration ensures that you have now enhanced experience, as a reader and client. Enjoy visiting my new home on the web!
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Do you have any feedback about this update? Do you have an idea of how to make it a better experience? Please don't hesitate to respond to this email. I promise that I'll answer you personally.
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Littal Shemer Haim
3 Sambursky St. Tel Aviv
+972-50-4001101
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