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The cultural landscape is being fundamentally reshaped by artificial intelligence, demanding a new level of organizational agility and a culture of continuous learning. In this exclusive keynote session, renowned author Malcolm Gladwell will unveil insights from his new book, "Revenge of the Tipping Point: Overstories, Superspreaders, and the Rise of Social Engineering," offering a fresh perspective on how transformative ideas truly take hold within organizations.  Gladwell will explore the often-unseen dynamics that govern the spread of new concepts and behaviors, revealing the subtle, yet powerful forces that can either accelerate or derail the adoption of groundbreaking technologies, like AI.

There is so much to learn! If you’re anything like me, you’re overwhelmed by the number of books, articles, podcasts, online and offline courses, webinars and other training opportunities out there. Today, we’re not short of learning materials, but often lack the time and capacity to learn new things. But what if there’s a better way to learn? Enter the concept of “Ultralearning”, coined by best-selling author Scott Young. A few years ago, I read Scott’s book Ultralearning and it changed my life. Not only did Scott’s approach to learning increase my learning rate significantly, it also made the process a lot more enjoyable overall!  Scott is an impressive Ultralearner who has used his advanced learning strategies to complete a 4-year computer science degree in 12 months, learn languages such as Spanish, Chinese, Korean and Macedonian and become a decent portrait artist. And then he’s written a book about it. In this episode of Leaders of Analytics, you will learn: How Scott has used his learning principles to master very complex and diverse skills in a very short timeHow we learn and retain informationHow we can structure our learning to faster absorption and better retentionHow Scott designs a learning strategy from scratchWhether Malcolm Gladwell’s “10,000 hour rule” is true or BSStrategies for learning hard and soft skills, and much more.Scott's website (full of excellent learning resources): https://www.scotthyoung.com/ Scott's podcast: https://www.scotthyoung.com/blog/podcast/ Scott on Twitter: https://twitter.com/scotthyoung/ Scott on LinkedIn: https://www.linkedin.com/in/scott-h-young-867ab21/

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Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Rob Telson AI thought-leader and Vice President of Worldwide Sales at BrainChip, a global tech company that has developed artificial intelligence that learns like a brain, whilst prioritizing efficiency, ultra-low power consumption, and continuous learning. Rob has over 20 years of sales expertise in licensing intellectual property  and selling EDA technology and attended Harvard Business School. Show Notes 2:18 - Rob’s history 5:31 – Tell us about your business model 9:07 – Outline Nero networks 13:54 – Are you a processor, platform, or developer? 22:29 – Who are your customers? 27:34 – How long is the sale cycle? 28:26 – Who’s your biggest competitor?  32:18 – Has your career always been on the hardware side? Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  brainchip.com/developer  YouTube - brainchip Malcolm Gladwell – Outliers Clayton Chritensen – Disruptive Technology, Innovators Dilemma,  Dan Millman - Life you were meant to live That’s Outside of my Boat Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.