Stephen Carter King’s Post

Law of diminishing returns. Start simple. If that is enough for the end-users, move on to the next problem. There is no point in spending months to reach 95 from 80 when you can reach 0 to 80 in a few weeks elsewhere. Also something I spoke about in an interview a few years ago with AIM: https://lnkd.in/en8zcmSX

I was neck-deep in this data science project, and bam, I hit this exact dilemma. Do I go all out with features or keep it basic? It totally took me back to this one time I was at my favorite pizza joint. I couldn't decide whether to go wild with every topping they had or just stick to the classics. More toppings sounded epic, but man, it can get messy, you know? When you start piling on features, things can get super complicated. Imagine a pizza with every topping you can think of. It's heavy, hard to manage, and half the time, you can't even tell what you're eating. I remember one time, I had so many toppings, I had no clue if I was biting into an olive or a mushroom! 😂 Similarly, a model with too many features can get all tangled up, making it a nightmare to understand the results. And don't even get me started on how long it takes to train. Ever been there? But what if you keep it simple with just a few features? Picture a plain pizza with just cheese and tomato. Sure, it's easy to handle, but it's kinda boring, right? A model with fewer features might miss out on some crucial info, leading to weaker predictions. It's like trying to paint a masterpiece with just two colors – you can do it, but it's not gonna win any awards. So, the million-dollar question: how do you find that sweet spot? Do you go all-in with the toppings and risk the chaos, or play it safe and maybe miss out on some flavor? Honestly, I'm still trying to figure it out myself. What's your take on it? Any secret tips for hitting that perfect balance? #datascience #machinelearning #ai

Are you eager to embrace AI to avoid falling behind? Okay, but … Too often, companies are peering inside a toolbox and selecting a wrench without considering what needs to be tightened. Does this describe you and your company’s approach? Nearly two years ago, I upended my business; the way it markets and operates — to existing customers and prospects — and frankly, it was downright scary. But I jumped in. And the water was fine. I did a 180 degree pivot within the exact same industry. Yet I ran parallel business systems … I still am. I have only two innate qualities worth a damn: 1. I’m incredibly fearless 2. I’m highly resourceful That’s it. Period. So I jumped in. And again, the water was fine. There’s certainly choppy waters ahead and the turbulence of the road ahead will be palpable. But I’m fearless and resourceful. How will you use AI to not only digitally market, but to solve problems in your business and industry? “The best AI doesn’t feel like AI.” — Stephen Carter King Source: Beerconomy #ArtificialIntelligence #AI #DeepLearning #ConsumerBehavior #BrandAwareness #EmergingTrends #BusinessIntelligence #Beer #CraftBeer #NonAlcoholicBeer #Cider #Microbreweries #Taprooms #Brewpubs Slàinte☘️! ✦✦✦ Stephen Carter King Chief of Growth and Marketing and Strategy and ‘The Beerconomist’ + CEO of Beerconomy ✦ Market Analyst ✦ Speaker ✦ Futurist & Author ✦ with beer market trends, insights, data and forecasts Publisher: The Beerconomist

🔍 Ever wondered how data can tell a story? Analysts transform raw numbers into compelling narratives, driving vision and growth one insightful discovery at a time. Data doesn't lie, and when you harness it, the possibilities are endless. What's your latest data insight? Share below! 📈 P.S: This post is automated and generated by AI. Inspired by the book “The Happiness Advantage”. This series focuses on reframing the nature of work to uncover meaning and bringing fulfillment and happiness to our daily jobs. #DataAnalytics #Insights #Storytelling #BusinessGrowth

Excited about #machinelearning? Here are 5 key takeaways you don't want to miss! 1). Clean Data = Powerful Models: Just like baking needs quality ingredients, ML needs clean data! Imagine trying to bake a cake with spoiled eggs – not so great, right? Clean data = awesome ML models! 2). ML is a Journey, Not a Destination: Think of ML projects like perfecting a recipe. It takes a few tries to get the best flavor! ML is the same – we refine, tweak, and improve for tastier results! 3). See Inside the ML Black Box: Curious minds, rejoice! ML isn't magic; it's science. We're making models transparent, so you understand the 'why' behind predictions. Like a recipe card for AI! 4). Keep Your ML Garden Blooming: ML models are like plants – they need care! Regular check-ups, watering, and sunlight. Continuous monitoring ensures your ML garden stays vibrant! 5). Fairness in ML: Imagine a cookbook with only one cuisine. Not fair, right? ML should be fair too! We work to eliminate biases for a balanced and inclusive tech world! Excited to hear your thoughts and experiences! What's your favorite ML ingredient? #machinelearning #datascience #ai #techtalk

Drowning in information but starving for insights? 🌀 We get it. Whether you’re analyzing markets, crafting strategies, or writing stories, sorting through endless sources to find what really matters can feel exhausting. Our co-founder Nathan is hosting a practical webinar to show you how Wobby can help. He’ll walk you through how to quickly find the information you need, make sense of it, and turn it into actionable knowledge. 📅 Save the date! Registration link is in the comments. #Webinar #Insights #AI #Research #Data #BusinessIntelligence #Wobby

"With AI we're able to bring a data scientist and a local marketer into every single restaurant location" - Slaton Smith, Director of Sales at SOCi, Inc.🤖 Watch the full webinar to learn how the latest digital marketing trends and loyalty strategies can propel your restaurant to new heights. With insights from Nikki Baulisch (Fuzzy's Taco Shop), Diane Le (Punchh), and Slaton Smith (SOCi, Inc.) success is on the menu! https://ow.ly/SoUN50RIVTR #AI #Webinar #DigitalMarketing #Loyalty

Celebrating Day 6 of my 30 Days DATA STORYTELLING Challenge! Today, I took a deeper dive into the Shipping segment of our data, uncovering crucial insights that I'm thrilled to share with you in my latest video. Thanks to the incredible capabilities of the Super AI tool, I've gained valuable information that has added depth to our analysis. This exploration has shed light on pivotal aspects within the shipping domain, offering insights that could be game-changers for our strategies. Curious to know more? Watch the video attached. I'm incredibly excited about the discoveries made today and eager to hear your thoughts! Your feedback is invaluable—let's collaborate and learn together. Please share your insights, thoughts, and suggestions in the comments. Your input matters! Big thanks to everyone for supporting me on this journey and special thanks to Saurabh Moody. Together, we're delving into the world of data and unraveling its mysteries! #DataAnalytics #30DaysChallenge #SuperAITool #ShippingInsights #DataStorytelling #FeedbackWelcome #datadrivendecisions #ai #feeldata #insights

“People don’t want to buy a quarter-inch drill. They want a quarter-inch hole!” I had a great conversation today with the always insightful Doug Gravino over lunch. We discussed two things that have been top of mind the past few months: 1. Understanding the importance of accessibile data within the larger marketing experience. 2. How to deliver and package the value of data with out being overshadowed by what the data ends up creating. #marketing #ai #data

✅ For everyone doing deep dives into research, analyzing a lot of information and processing this into new insights, reports or communication content!  ➡️ Save the date! On September 26th Nathan will be demonstrating how Wobby can help! #data #research #analytics #insights #ai #wobby #contentcreation