AWS Analytics with Machine Learning : The Power of AI on AWS

Harnessing the power of AI has become paramount for businesses seeking to gain a competitive edge. AWS brings AI capabilities to the cloud by allowing businesses to augment their applications with intelligence. AWS AI and ML services, such as computer vision, automated data extraction and analysis, language AI, industrial AI, etc., help organizations establish a […]
Embracing Data Science Culture: Building a Data-Driven Organization

Today, businesses that can collect, analyze, and act on data are at a significant advantage over their competitors. Research by McKinsey has previously outlined how data-driven organizations are 23 times more likely to acquire customers and 19 times more likely to be more profitable. This is why more and more organizations are embracing a data science culture. […]
Enhancing Driver Assistance Systems: Computer Vision Innovations in Automotive

According to Grand View Research, the advanced driver assistance system market is expected to reach $58.7 billion by 2030 at a healthy CAGR of 18.2%. This highlights the increasing significance of driver assistance systems in the automotive industry, which improve road safety and transform our vehicle interactions. At the forefront of driver assistance systems, computer vision plays a […]
Smart Supply Chains: Integrating AI, ML, and IoT for Enhanced Operations

According to a recent McKinsey survey, 50% of respondents had implemented AI in at least one business area in 2022, up from 20% reported in 2017. In the coming three years, 63% of respondents expect their organizations’ investments in AI to increase. Artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are no […]
Machine Learning in Manufacturing: Improving Quality Control in Automotive Production

Predictive maintenance, quality control, supply chain optimization, and production efficiency improvements — machine learning (ML) supports all these manufacturing functions. The ML algorithms learn from a huge chunk of data to identify patterns. These patterns prove viable for manufacturers to optimize resource allocation, reduce machine downtime, minimize fault escalations, and more. When we’re talking specifically […]
From Pixels to Insights: How Computer Vision Helps Make Sense of Big Data

Over the past decade, the use of computer vision technology across different business sectors has soared through the ranks. From simple tasks such as reading or interpreting text from a document or picture, computer vision has branched its growth into high-tech domains. The use of AI cameras for traffic management, access control, etc., are modern […]
Overcoming Common Challenges in the Data Science Lifecycle
The data science lifecycle typically consists of several stages. This includes problem formulation, data acquisition, data preparation, exploratory data analysis, model development and evaluation, deployment, monitoring and maintenance, and iteration. Across data science lifecycle, businesses often face various challenges — precisely what this article will explore. So, without further ado, let’s dive right into these […]
Accelerating Machine Learning with Databricks and Delta Lake

The importance of machine learning lies in its ability to automate and optimize complex tasks, improve efficiency, and enable intelligent decision-making based on data-driven insights. As the availability of data continues to increase and computational power advances, machine learning will play a significant role in shaping various industries and transforming our lives. To that end, […]
Improving Supply Chain Resilience with Machine Learning: A Strategic Perspective

Supply chain resilience refers to a company’s ability to adapt and recover from unforeseen disruptions in its supply chain. This is a necessity today owing to the growing complexity of global supply chains and the increased frequency of disruptions such as natural disasters, political instability, and an anomaly like the COVID-19 pandemic. As it stands, […]
The Future of Automotive Industry: How Computer Vision Is Changing the Game

Digital transformation in the automotive industry is at an all-time high. And while IoT and automation are probably the most widely adopted, the scope for machine learning (and Computer Vision in particular) is just as high. From minimizing production errors to improving manufacturing output, machine learning is quickly becoming the ideal technology to get things moving skywards. […]