Software Engineering Insights

Large Language Models (LLMs) have long been at the forefront of artificial intelligence, leveraging vast amounts of textual data to perform tasks ranging from language translation to content generation. These models have laid the foundation for numerous applications, fundamentally transforming the way machines understand and generate human-like text. However, as the landscape of AI continues to evolve, a shift is occurring with the rise of Multimodal LLMs.

The era of guessing your size and hoping for the best when ordering clothes online is becoming a thing of the past. In today’s digital world, shoppers are looking for a more tailored experience, one that mirrors the personal touch of in-store shopping but the convenience of doing it from their own home. This is where the idea of trying on clothes virtually, with the help of smart technology, comes into play.

The Internet of Things (IoT) is a technological framework that is being adopted in myriad industries at a fierce rate. There has been continuous innovation in this field of technology as it converges with various technology stacks associated with Big Data and Artificial Intelligence. Simultaneously, the number of connected IoT devices is also increasing rapidly, posing the need to improve one of the most important aspects of IoT - scalability.

AWS and GCP are two of the popular public cloud platforms. Although GCP gained momentum recently, AWS remains the dominant player in this market. Data is the backbone of all successful app deployments, analytics workflows, and machine learning practices. While migrating data between the clouds, you first need to understand the location where you will move the data for various use cases, the variety of data you are moving, and the available resources.

The adoption of cloud solutions has become a fundamental aspect of corporate strategies. Regardless of the extent to which a company relies on public cloud services, integrating cloud solutions into their operational plans has become commonplace. This shift is primarily driven by the convenience, affordability, and reasonable reliability that cloud technologies offer.

The introduction of chatbots revolutionized customer and brand interaction. With the ability to mimic conversations and offer instant, digital connection, chatbots made their way into businesses like a wildfire. In fact, Gartner predicts that more than 50% of enterprises will spend more annually on bots and chatbot creation than traditional mobile app development.

Daffodil Software, a global leader in software engineering solutions, announces its inclusion in the Everest Group's PEAK Matrix® Assessment 2023 for Next-Generation Quality Engineering (QE) Services. The provider has been positioned as an 'Aspirant' in the Quality Engineering QE Services category.

Benefits of cloud are no more limited to shared infrastructure to host an application. Cloud-native, that leverages loosely-coupled components of cloud for application development is gaining grounds in the software industry due to its exponential scalability and increased robustness.

The buzz around AI is hard to miss. With startups securing substantial funding and AI technology becoming more accessible, business leaders are keen to harness its potential. However, for many, the question remains: How and where can AI be effectively employed in our organization?

The increasing business complexity and demand for highly scalable applications have brought a paradigm shift in how software applications are engineered. In the past few years, different software architectures are adopted by developers to reduce code complexity, improve fault isolation, and minimize time-to-market.