Click here to open a full-size image Artificial Intelligence (AI) is reshaping the tech landscape, attracting a diverse array of investors eager to capitalize on its potential. In this article, we explore the key players driving investments in AI, from tech giants and venture capital funds to angel investors, and examine the companies they are betting on. We aim to … [Read more...] about The AI Investment Landscape: Who’s Funding the Next Wave of Innovation?
Enterprise Functions
Code Smarter, Not Harder: Streamline Software Development with Generative AI
AI has played a supporting role in software development for years, primarily automating tasks like analytics, error detection, and project cost and duration forecasting. However, the emergence of generative AI has reshaped the software development landscape, driving unprecedented productivity gains. A McKinsey study reveals that developers using generative AI tools can write … [Read more...] about Code Smarter, Not Harder: Streamline Software Development with Generative AI
AI In HR: A Guide For Business And HR Leaders
76% of HR leaders believe their organizations will fall behind if they don't adopt AI solutions in the next year or two. With the rapid pace of AI innovation, we can expect AI to have a major impact on the HR role across the entire employee lifecycle. First, AI will lead to new employee expectations about how they interact with HR and HR technologies, from recruiting and … [Read more...] about AI In HR: A Guide For Business And HR Leaders
The Future of Customer Support: How AI is Boosting Capacity, Performance, and Satisfaction
Customer support has become increasingly important, with 88% of buyers saying the experience a company provides matters as much as its products or services. About 72% of customers demand immediate service and nearly 70% expect anyone they interact with to have full context. However, this level of customer care is expensive, leading business leaders to look into AI for higher … [Read more...] about The Future of Customer Support: How AI is Boosting Capacity, Performance, and Satisfaction
Beyond Conventional Tactics: How AI is Redefining Marketing and Sales
Both marketing and sales are directly responsible for generating revenue. This unique position gives the two functions significantly more power to direct investment into new projects. The need to keep up with competitors in fighting for market share means that both units are, on average, much more willing to try new tools as well, including the latest technology advances based … [Read more...] about Beyond Conventional Tactics: How AI is Redefining Marketing and Sales
How To Do Bayesian A/B Testing At Scale
If you’ve read my previous post, you already know why I think you should move to Bayesian A/B testing. In this post, I give a short overview over the statistical models behind Bayesian A/B tests, and present the ways we implemented them at Wix.com — where we deal with a massive scale of A/B tests. I wrote some practical examples in Python along this post. You can easily … [Read more...] about How To Do Bayesian A/B Testing At Scale
Why You Should Switch To Bayesian A/B Testing
What is A/B Testing? Almost everyone hated learning statistics (well, maybe except some statisticians). With all those distributions and critical values that we needed to memorize, we just ended up with a headache. You might have swore not to ever touch the subject again; that is, until you had to analyze an A/B test. A/B testing is the “fun” name … [Read more...] about Why You Should Switch To Bayesian A/B Testing
How Can You Tell If Your Recommender System Is Any Good?
It’s an exciting time to be working on recommender systems. Not only are they more relevant than ever before, with Facebook recently investing in a 12 trillion parameter model and Amazon estimating that 35% of their purchases come from recommendations, but there is a wealth of powerful, cutting edge techniques with code available for anyone to try. So the … [Read more...] about How Can You Tell If Your Recommender System Is Any Good?
Improving Diversity Through Recommendation Systems In Machine Learning and AI
Every day you are being influenced by machine learning and AI recommendation algorithms. What you consume on social media through Facebook, Twitter, Instagram, the personalization you experience when you search, listen, or watch Google, Spotify, YouTube, what you discover using Airbnb and UberEATS, all of these products are powered by machine learning and AI recommender … [Read more...] about Improving Diversity Through Recommendation Systems In Machine Learning and AI
Explainable AI: Application of Shapely Values in Marketing Analytics
Recently, I stumbled upon a white paper, which talked about the latest in AI applications in Marketing Analytics. It specifically talked about the application of XAI (Explainable AI) in marketing mix modelling [white paper]. This caught my attention and I started exploring more about three things: XAI, the current state of marketing analytics, and XAI’s potential applications … [Read more...] about Explainable AI: Application of Shapely Values in Marketing Analytics