Telemedicine App Development: Benefits, Features, Use Cases, Key Steps and Monetization Tips
Discover how telemedicine app development improves remote healthcare access. Learn key benefits, features, use cases, and steps to build your custom solution.
Machine Learning in Retail: Driving Innovation and Growth
Machine Learning (ML) has greatly benefited the retail industry by enabling companies to improve their bottom line. It is made possible by the generated data that helps unlock the opportunities to anticipate, adapt and meet constantly changing customer demands.
High-Level Ad Exchange Key Components and Their Roles in Modern Ad Tech Solutions
As the digital advertising landscape evolves rapidly, the need for a well-structured ad exchange architecture and the precise alignment of core components has become cornerstones of success. These components empower ad businesses to achieve more accurate audience targeting, enhance efficiency, and automate ad demand and supply mechanisms. By integrating real-time analytics, businesses can navigate complex processes with ease. Success in this domain relies on maintaining transparency while managing complexity. From seamless, outcome-driven targeting to the creation, management, and optimization of creatives, leveraging the core components of the AdTech landscape ensures a competitive edge and fosters better campaign performance. In this blog, we dive deeper into the roles and functionalities of each component. Let’s begin!
12 Data Engineering Best Practices for Building a Robust Data Infrastructure
Enterprises today rely on data-driven insights at speed, making reliable and high-quality data essential to gain competitive advantage. It is here that the data engineering teams must follow data engineering best practices to play a pivotal role, responsible for building robust infrastructures, executing jobs, and addressing diverse requests from analytics and BI teams.
Data Analytics in Insurance Industry
Insurance companies that are first to extract insights from data using data analytics tools will likely have a competitive advantage. It helps insurance companies make informed decisions by analyzing large amounts of information. This blog post highlights the growing importance of data analytics in insurance industry and how it is revolutionizing the insurance sector.
IoT in Healthcare: Use Cases, Benefits, Challenges & More
In this post, we will discuss the importance of IoT in healthcare through trends, benefits, use cases, used technologies & much more. So, let's get started!
The High-Level Exchange: A Central Hub for Ad Buying
In this blog, we will explore high-level ad exchange solution workflow and how we strategically assisted our development partners in streamlining their processes, optimizing the campaigns, and maximizing the returns. Let's explore the technical workflow of our High-Level Ad Exchange solution, which seamlessly operates within a well-defined ad exchange architecture.
Charter Flight Booking Web Application Development For a Leading Private Aviation Company [Case Study]
This case study highlights how we helped a leading New Zealand-based private aviation company monetize empty return legs through custom charter flight booking web application development. This platform helps optimize revenue potential and improve flight operations' efficiency.
Generative AI in Banking: Practical Use Cases, Benefits, and Solutions to Key Challenges
The dynamic landscape of the banking sector is rapidly shifting from conventional methods to innovative, technology-driven approaches. Banks are increasingly eager to leverage powerful advancements like Generative AI to enhance operational efficiency and scale their services. This proactive adoption of technology is reshaping the very essence of banking, enabling new business models that transform customer interactions and elevate the overall experience.
AI and Machine Learning in Fleet Management
Machine Learning (ML) – a subset of Artificial Intelligence (AI) is transforming almost every business vertical. For the transportation and logistics industry, machine learning in fleet management is revolutionizing operations and accelerating digital transformation while disrupting conventional processes.
Re-engineering of Multiple System Codebases for an Automated Beer-Line Cleaning Solutions Provider [Case Study]
This case study highlights how we helped re-engineer multiple systems codebases into one unified solution for a renowned Europe-based automated beer-line cleaning equipment solution provider. We implemented the multi-tenant microservice architecture to support their growing customer base and significantly improve the system's performance and scalability.