EQL’s Post

Introducing HivePulse - our advanced NLP-based Sentiment Analyzer! What makes it so special? HivePulse reads text from various sources like Google Reviews, Annual Reports, Tweets, and more to give you a snapshot of the current  market sentiment. You can easily understand how your brand is perceived across different attributes and gain actionable insights. Collaborate with us to explore how HivePulse can benefit your brand. Contact us at [email protected] for more information! #HivePulse #SentimentAnalysis #MarketInsights

Introducing HivePulse - our advanced NLP-based Sentiment Analyzer! What makes it so special? HivePulse reads text from various sources like Google Reviews, Annual Reports, Tweets, and more to give you a snapshot of the current  market sentiment. You can easily understand how your brand is perceived across different attributes and gain actionable insights. Collaborate with us to explore how HivePulse can benefit your brand. Contact us at [email protected] for more information! #HivePulse #SentimentAnalysis #MarketInsights #DigitalMarketing

Watch Greenbook's #TheExchange for the latest in the market research and insights industry. In this episode, Karen Lynch and Lenny Murphy discussed: 💡 Ongoing advancements of AI technology—including GenAI's ability to simulate human responses in social science experiments. 💡 Emotions around the use and implications of GenAI—including CMB's paper, "Navigating AI with Human-centric Strategies", which was designed to help brands bridge the emotional gap between where the future of AI is headed and where consumers are at today. 💡 Recent acquisitions and partnerships in the market research industry, and so much more. Watch here: https://lnkd.in/etMPvu8B

Really fascinating and the coming months and years will show the shape AI will take across industries and certainly within Insights.

Looking to enhance your market research efficiency with innovative quantitative methods? Market research suppliers are innovating on how we can quickly develop methodologies for upcoming projects using recommendation tools and templated projects. One example is from Sago, and you can read about how they are doing this for conducting ad tests, message tests, or concept testing, on their Methods on Methodify platform. Read their related blog post: https://lnkd.in/evhFbjfd #MarketResearch #QuantitativeMethods #sago #mrx #CustomerInsights

I gave an updated version of my talk about the "A.I." hype wave a few weeks ago. I think of myself as a technology optimistic and enthusiast, yet many folks are asking me why I'm against "A.I." I don't think of myself in that way; I'm pointing out that the algorithms being referred to under the marketing banner of "A.I." have existed and been improving for decades, not months. History teaches us that these technology hype cycles only get in the way of figuring out the true utility of innovations to improve the human condition. Time is starting to prove my point. Take a look at the updated version of my talk from DjangoCon US. We've all learned a lot since then, and it has only been six months.

What's the best LLMs for forecasting the stock market? To answer this question we have the Financial LLM Leaderboard that accounts the complexity of evaluating the accuracy of the stock market If you want to use LLMs for financial markets you should check this leaderboard before making your choice! https://lnkd.in/eY6gxqXX

🎉 Task 2 Completed! 🚀 I successfully implemented a K-means clustering algorithm to group retail store customers based on their purchase history using the Mall Customer Dataset. This project was a great opportunity to apply machine learning techniques and uncover valuable insights into customer behavior. A big thanks to SkillCraft Technology for providing the platform to enhance my skills and work on such impactful projects. #MachineLearning #DataScience #SkillcraftTechnology #KMeansClustering

Impact of Business Cycles on Machine Learning Predictions As an old investing adage goes, “Everybody’s a genius in a bull market.” It is easy to fall victim to the Dunning-Kruger effect, where attribution bias makes us mistake our luck for abilities. When the business cycles change, there are great problems with precise stock price predictability. And this is not the only problem for humans, who are baffled by many mental heuristics. Machine learning algorithms experience similar problems, too. What is happening, and why is it so? A new paper by Wang, Fu, and Fan gives an explanation and proposes some remedies … https://lnkd.in/ddJqvmuE #machinelearning #businesscycle #ml #stocks #stockprice

We achieved a 50% increase in registration rates, but it didn't happen overnight. It took persistence, tweaking, and endless testing to get there. Years ago, I was working on optimizing our invite system. Our initial attempts? Total flops. After weeks of trying, I felt the stress building. But I never for a single moment doubted we could boost registration rates with our data science models. We kept trying and testing, taking new angles, adding new features. And finally, one of our models hit the mark—a 50% increase in registration rates! The lesson? Never doubt your ability to make a change. Keep tweaking your approach, and you’ll get there. Persistence is never about sticking to one way of solving a problem; it's about staying focused on your goal and believing there's always a way to reach it. #StartupLife #Persistence #DataScience