Keyword search fails when people don’t use the same exact words that are present in your data. Intro to Embeddings and semantic search solve this problem by converting text (and other data) into vectors so “conceptually related” pieces of content can be retrieved even if the words are different. Connect With Us: WhatsApp What are…
For a long time, Customer Analytics has been the fuel of analytics. However, GenAI is revolutionizing the way teams comprehend and utilize data. Instead of just static dashboards, companies are using GenAI to predict churn, personalize experiences, and recommend the next best action at scale. Connect With Us: WhatsApp Customer analytics stick to conglomerates and…
Accuracy alone hides where your model is going wrong. The Confusion Matrix Explained is a simple table that shows exactly how predictions break down true positives, false positives, true negatives, and false negatives so you can reason about product trade‑offs like a PM, not just a data scientist. Connect With Us: WhatsApp The Confusion Matrix in…
As AI systems escalate from mere prototypes to critical workflows integral to business, the issues of fairness, accountability, and compliance cease to be optional. Responsible AI entails the designing, deploying, and monitoring of models not just for their accuracy, but also to ensure they are safe, explainable, and conform to regulations. Connect With Us: WhatsApp…
Decisions with data, not just with their gut feeling or opinions. It is a controlled way of answering the question A/B Testing “Did the change really improve the situation?” with numbers. What is an A/B test? Basically, an A/B test is a randomized controlled experiment: You divide users (or sessions) into at least two groups: Control…
When leaders want to know how the numbers will look next month or next quarter, they are essentially asking for a time series forecast. Time series forecasting involves using historical data that is in a sequence to predict future values of metrics such as revenue, demand, website traffic, or tickets. Connect With Us: WhatsApp …
GenAI headlines often revolve around flashy demos, but enterprises are more concerned with sustainable, repeatable value. Use GenAI By 2025, the patterns of how organizations are using GenAI and the challenges they are facing have become very clear. Connect With Us: WhatsApp Common enterprise GenAI patterns Usage patterns that are common to various industries…
Black box models have the potential to deliver impressive results; however, they tend to be unreliable, difficult to debug, and problematic to deploy in regulated sectors. By using Explainable AI (XAI) tools such as SHAP and LIME, these models become transparent and hence more understandable, since one can then see the reasons that led to…
As the number of sensors, devices, and IoT platforms skyrockets, the traditional approach of sending all raw data to the cloud is increasingly becoming too slow, costly, and even risky. This is where edge analytics and Edge Analytics Machine Learning come into the picture. They help in moving the computation closer to the data source. Connect…
Data teams are moving away from the “dashboards on request” mindset and are now focusing on creating data products that are reusable, reliable, and other teams can simply take it for granted. Data Products and Data Contracts To facilitate such work in large scale, companies are implementing concepts like data products and data contracts. Connect…
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