The AI Summit Series’ Post

🚀 Join Me at The AI Summit! 🚀 I'm excited to announce that I’ll be speaking at The AI Summit Series in Toronto on October 22! I had a great conversation with the SecTor team about the future of AI in Cybersecurity. If you’re interested in cutting-edge AI discussions, secure your pass today and be part of this fantastic event! #TheAISummit #AI #Cybersecurity #Data #MachineLearning

What does "Democratisation of AI" really mean? I want to share what it means to me as a Data Scientist, the barriers that are faced making AI accessible to everyone and use of AI may change the Data profession. This is the first of a new series I am creating for LinkedIn called "Data Day-Dreams" where I share my thoughts and insights on Data Science and AI. Hope you all enjoy! #Data #AI #DataScience #ArtificalIntelligence #DemocratisationofAI #DataDayDreams

𝗦𝗸𝗶𝗹𝗹 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗥𝗲𝗮𝗹 𝗪𝗼𝗿𝗹𝗱 https://rb.gy/popvyv Unlock the secrets to building powerful data science models for real-world applications. Discover essential skills, best practices, and deployment strategies. #DataScienceSkills #DataScience #DataScienceModels #DataSciencemodelsinrealworld #DataScientist #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗳𝗼𝗿 𝗖-𝗟𝗲𝘃𝗲𝗹 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀 https://lnkd.in/gb3iy4zX Data science is a vital enabler of organizational success in the digital era, and C-level executives need to be well-versed in its essentials to steer their organizations toward data-driven excellence. #DataScience #DataScienceTechnologies #DataScientist #MachineLearning #ArtificialIntelligence #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

Trying to build fast a common bad habit for data scientists. They dive in without even glancing at the data or figuring out why the business needs it. Building the AI model first is a myth. If it were that easy, every business would be rolling in AI-driven success, and we'd all be making day in the life videos. Quick rules that every data scientist needs to remember: 💠 The first rule of AI: You don't start with AI. 💠 The second rule of AI: You don't start with AI. 💠 The third rule of AI: First time? Explore the data—learn data engineering. 💠 The fourth rule of AI: Simpler models often perform better. 💠 The fifth rule of AI: Features and data quality > algorithm. 💠 The sixth rule of AI: Keep track of your experiments and results. 💠 The seventh rule of AI: Your model is built on past data that was available. 💠 The eighth and final rule of AI: Align your model with business and product needs. Keep these in your mind. The are right opportunities to use AI/ML, instead of forcing it at any chance we get. Senior+ data scientists use these rules over and over. AI models have immense potential, and it's a force multiplier. But building is the end of a long chain of events you go through. #datalife360 #datastrategy #ai #ml #datascience #datascientist

Want to start the AI & ML journey in your organization? Data is key! Without a strong data foundation, you will experience challenges. Here is how to build a strong data foundation: #DataScience #AI #MachineLearning #DataManagement #DataSecurity #QualityData #DataCollection #ArtificialIntelligence #GenAI

🌟 Hierarchical Clustering: Building Data Dendrograms 🌟 🌲 This method builds a tree of clusters and is great for understanding data relationships at multiple scales. 🚀 Features: 🔹 Visual and insightful. 🔹 No need to specify the number of clusters upfront. 📜 Ideal for detailed data exploration. Next, let’s reduce dimensions with Principal Component Analysis! #LearnML #MachineLearning #ML #AI #Clustering

If you are thinking about starting/pivoting into a career in #Data & #AI, check out this webinar I recently did with my co-worker Danny Razzaq https://lnkd.in/em2EMhmR In this webinar, I covered: 💡 What is Data & AI? 💡 Why do businesses need Data & AI? 💡 What do people do in Data & AI? 💡 What roles exist in Data & AI? 💡 What are the essential skills to work in Data & AI? 💡 How do you know if you are a good fit for Data & AI? 💡 How to get into Data & AI? #alwayslearning #dataengineering #datascience #dataanalytics

Just completed an insightful one-day workshop on Excel enhanced with AI techniques! Excited to apply these advanced skills and leverage AI to drive efficiency and innovation in data analysis. #Excel #AI #ProfessionalDevelopment #DataScience

Did you know that 80% of a data scientist's time is spent on data preparation? 🤯 → In the world of data, it's not just about the quantity but the quality that truly matters. → Raw data, in its natural state, is often messy, incomplete, and riddled with errors. ↳ That's where data preprocessing steps in, transforming this unpolished gem into a valuable asset. 💎 → From cleaning and transforming to integrating diverse data sources, preprocessing lays the groundwork for ↳ accurate analysis, ↳ robust machine learning models, ↳ and ultimately, informed decision-making. How you leverage data preprocessing in your work? Kindly share in comments. 👇 #datapreprocessing #data #machinelearning #ai #dataanalytics