Published inTowards Data Science·Sep 6, 2022Member-only3 Reasons Why You Need Low-code Platforms For Data Science SolutionsLow-code ML applications help address the challenges of model maintenance, time-to-market, and talent shortage — Organizations across industries are turning to data and analytics to solve business challenges. A survey by New Vantage Partners found that 91 percent of enterprises have invested in AI. However, the same study found that just 26 percent of these firms have AI in widespread production.Low Code5 min readLow Code5 min read
Published inTowards Data Science·May 23, 2022Member-only3 Strategies To Redefine Your Executive Career Path With AIThree ways leaders can put their AI education to use — Artificial Intelligence (AI) is disrupting businesses and job roles in every industry, causing concerns about long-term job security for low-skill manual jobs and management roles alike. To prepare for this AI-driven economy, many experienced managers and seasoned executives are turning to MOOCs (Massive Open Online Courses) to upskill in foundational…Artificial Intelligence6 min readArtificial Intelligence6 min read
Published inTowards Data Science·Nov 29, 2021Member-only4 Ways Your Startup Can Use AI Right Now (Without Breaking The Bank)You don’t need big budgets, data scientists, or even months of effort - 4 ways your startup can become AI-driven today — Update: You can read this article in Japanese (Thanks to Koki Yoshimoto!) Artificial intelligence (AI) is what computer scientist Andrew Ng calls “the new electricity.” However, despite its abilities and appeal, AI is not a fit for every situation. In my earlier article, I presented 5 scenarios to avoid investing…Artificial Intelligence6 min readArtificial Intelligence6 min read
Published inTowards Data Science·Aug 2, 2021Member-only4 Novel Ways to Build AI Talent In-houseWhat are some practical, not-so-common ways to build AI skills when external talent is scarce or expensive? — Update: You can read this article in Japanese (Thanks to Koki Yoshimoto!) The analytics leader of a US-based Fortune 200 company was under severe pressure. Her team supported 45,000 employees of the global energy company, and the business users weren’t happy. …Artificial Intelligence6 min readArtificial Intelligence6 min read
Published inTowards Data Science·May 3, 2021Member-onlyThe 26 Most Important Data Terms You Need To KnowDemystifying the most used Data Science jargon in simple English — How would you define ‘data science’? How about big data, AI, or data culture? These are just a few of the many jargons that are commonly tossed around in data speak. You might wonder what people really mean when they use one of these cool buzz words. Just as data…Data Science6 min readData Science6 min read
Published inTowards Data Science·Mar 3, 2021Member-onlyYour AI Model is ‘Wrong’ Yet It Can Transform Your BusinessWhy model accuracy is overrated and how to convince your manager — For more than two decades, Netflix has been obsessed with machine learning models. In 2006, the company announced a million-dollar prize to anyone who could improve its recommendation algorithm’s accuracy by 10%. Over 40,000 teams participated in the global challenge. The competition ran for three years, and only two teams…Artificial Intelligence6 min readArtificial Intelligence6 min read
Published inTowards Data Science·Feb 8, 2021Member-only3 Ways Leaders Fail Their AI ProjectsWhy do so many AI Projects fail, and how can Leaders avoid this? — Update: You can read this article in Japanese (Thanks to Koki Yoshimoto!) How do most organizations begin their Artificial Intelligence (AI) journey? Let’s look at how leaders of some large enterprises planned their foray into AI. Here are a couple of recent examples from McKinsey: The leader of a large…Artificial Intelligence7 min readArtificial Intelligence7 min read
Published inTowards Data Science·Jan 30, 2021Member-onlyData Science won’t Improve your Business Decisions. Here’s what will.Decision Intelligence is the Missing link in most Projects — Digital transformation is the flavor of the season. Every company has accelerated its efforts to digitize operations, gather intelligence, and rapidly respond to a changing market. McKinsey senior partner Kate Smaje says that organizations are now accomplishing in 10 days what used to take them 10 months. …Data Science6 min readData Science6 min read
Published inTowards Data Science·Jan 18, 2021Member-onlyHow AI Can Transform You Into a Master StorytellerThree steps to transformational communication with data — In 2012, Disney invested $350 million in a movie that seemed to have all the elements of a box office success. It was action-packed and had stunning visual effects. It was helmed by a star writer and the director of “Finding Nemo.” When things looked very optimistic, they roped in…Artificial Intelligence7 min readArtificial Intelligence7 min read
Jan 6, 2021Data Science in a Pandemic Year: All my Articles from 2020I’ve been writing and speaking about data science and business applications of AI. In the pandemic year that was spent largely indoors, I spent more time writing and shooting videos at home. As part of my yearly reflections, I took stock of my writing across channels. …Data Science4 min readData Science4 min read
