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Artificial intelligence is evolving rapidly, and autonomous AI agents represent one of the most exciting advancements in the field. These agents are designed to act independently, make decisions, and execute tasks with minimal human intervention. Leveraging cutting-edge technologies like AutoGPT and LangChain, developers can create powerful systems that transform workflows, boost productivity, and foster innovation. This blog explores what autonomous AI agents are, how these tools work, and practical steps to build your own intelligent systems.
Email functionality is crucial for any web application. Whether it's for sending registration confirmations, password resets, or system alerts, ensuring emails are sent reliably is a top priority. AWS Simple Email Service (SES) provides a powerful, scalable, and cost-effective solution for sending emails in Flask applications. However, many developers run into common pitfalls when setting up AWS SES.
AWS Lambda is a serverless computing service provided by AWS. It is a service that runs your code in response to an event and automatically manages the resources required for running your code. You don't need to worry about any underlying resources which are required.
Implementing real-time data streaming from a server to a client can be challenging, especially when working with APIs that return data in chunks. Let me share a story of how I tackled this problem while using Python Flask for the backend and Vue.js with the Quasar framework for the frontend. It was a journey filled with trials, errors, and some exciting discoveries.
Agentic AI is quickly becoming a buzzword in the world of technology, and for good reason. Imagine AI agents capable of thinking, planning, and executing tasks with minimal human input—this is the promise of Agentic AI. It’s a revolutionary step forward, allowing businesses to operate smarter, faster, and more efficiently.
Do you know that the majority of e-commerce businesses use 0.5% of all the data available at their disposal? Are you sure you are amongst those and not the rest?
"Are you serious?" This is exactly how one of my clients responded when they were asked this question.
“It is a capital mistake to theorize before one has data. Invariably you end up twisting facts to suit theories”.
This quote from Sherlock could not have made more sense ever.
That’s where we are today, especially in the e-commerce realm of the world. Shopping has changed, and online purchase is no more a linear process. Every click, every product your customer views and all of their historical purchases hold critical importance. It tells you about their online journey. What one buys, when one buys, what are the top items bought together, and why would someone cancel an order has an abundance of insights. We do not even have to go too far to prove this. Amazon drives 35% of its revenue by capturing these insights. They are working towards opening up a whole new prospect of a personalized digital shopping assistant.
Are you doing your bit to leave the legacy approach and adopt an innovative data-driven one? By not going with the latter, you are losing business to the ones who are going with it.
Our client could not believe the insights we churned out from their data. Here’s a free sample Tableau dashboard built over Shopify for you. Just extract the Shopify orders data and plug it into this dashboard (user guide attached for convenience) and take a deep dive into the rich insights your data holds.
Claim your free tool hereYou can use the same dashboard with some tweaks if you are using any other e-commerce platform like BigCommerce, Magento, Woocommerce, Squarespace, Wix, Big Cartel, or Salesforce Commerce Cloud. Even better, if you reach out to us at Incentius, we can help you with custom insights based on your requirements and recommendations to increase your footfall-to-conversion ratio.