Author: Laher Ajmani

Laher founded AIVeda in 2023 to give regulated enterprises production-grade AI without giving up control of their data. She spent close to two decades in enterprise technology before that, including AVP roles at Kellton Tech and Successive Digital and VP of Information Technology at Eicore Technologies, leading digital transformation programmes across insurance, healthcare, e-commerce and education. She is also co-founder of NeuralMinds.io and was recognised in the ET Edge 40 Under 40 North Edition. She writes here on enterprise AI strategy, adoption and governance.

The Impact of Generative AI on Predictive Analytics

Introduction Predictive analytics has been the compass guiding businesses through the murky waters of data-driven decision-making. It’s where patterns are deciphered, and the future is forecasted. Yet, the advent of Generative AI promises to not just navigate these waters but to chart new territories. This transformative technology is redefining the boundaries of data analysis, prediction […]

November 8, 2023

The Ethical Implications of AI in Healthcare

Introduction Artificial Intelligence (AI) is revolutionizing various sectors, and healthcare is no exception. From diagnostics to treatment plans, AI is making healthcare more efficient and effective. However, the integration of AI in healthcare also raises several ethical concerns that need to be addressed. This blog aims to explore the ethical implications of using AI in […]

November 2, 2023

A Deep Dive into Data Streaming Technologies: Unveiling the Future of Real-Time Analytics

In the age of big data, the ability to analyze information in real-time is not just a luxury but a necessity for businesses. Data streaming technologies have emerged as the backbone of real-time analytics, enabling organizations to make informed decisions instantaneously. This blog post aims to provide a comprehensive understanding of data streaming technologies, their […]

October 25, 2023

The Future of Predictive AI in Healthcare: A Comprehensive Guide

Introduction The healthcare industry is undergoing a significant transformation, thanks in part to advancements in Predictive Artificial Intelligence (AI). Predictive AI has the potential to revolutionize healthcare by offering precise and timely medical interventions, thereby improving patient outcomes and reducing healthcare costs. This article aims to delve into the future of Predictive AI in healthcare, […]

October 13, 2023

The Transformative Potential of Data and AI in Healthcare

Introduction to Data and AI in Healthcare The healthcare industry is changing quickly because of new technologies like Data Science and Artificial Intelligence (AI). These tools are becoming important parts of healthcare around the world. They offer new ways to improve how patients are treated, make healthcare operations more efficient, and personalize healthcare services. The […]

October 8, 2023

Predictive AI: Foreseeing the Future, Today

1. Introduction to Predictive AI In the vast realm of artificial intelligence (AI), predictive AI emerges as a groundbreaking subset. It’s not just about processing data but about foreseeing future possibilities. By leveraging vast datasets, intricate algorithms, and sophisticated statistical techniques, predictive AI can forecast future outcomes based on past and present data. This capability […]

September 20, 2023

Unleashing the Power of Data Streaming: Real-Time Insights for Business Excellence

Have a question about this? Send us a short note and an AIVeda engineer will reply within one business day. Related reading A Deep Dive into Data Streaming Technologies: Unveiling the Future of Real-Time Analytics Unlock the Power of Data with AIVeda’s Machine Learning Services: A Transformational Journey Data Modernization: Unlocking insights driving innovation and […]

May 16, 2023

Anticipatory Decision-Making:Empowering Businesses with Predictive AI

  Predictive AI empowers organizations with anticipatory intelligence. It analyses vast data to forecast future outcomes using advanced algorithms and machine learning. Let’s consider an example from e-commerce. By analyzing customer data, an online retailer can offer personalized product recommendations, enhancing customer satisfaction and driving revenue growth. In healthcare, Predictive AI revolutionizes patient care. By […]

January 14, 2021