What are Different Data Science Technologies?

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it Read More >>>>

LangChain

LangChain is an open source framework for building applications based on large language models (LLMs). LLMs are large deep-learning models pre-trained on large amounts of data that can generate responses to user queries—for example, answering questions or creating images from text-based prompts. LangChain provides tools and abstractions to improve the customization, accuracy, and relevancy of Read More >>>>

AI in Data Augmentation

Data augmentation is the process of artificially generating new data from existing data, primarily to train new machine learning (ML) models. ML models require large and varied datasets for initial training, but sourcing sufficiently diverse real-world datasets can be challenging because of data silos, regulations, and other limitations. Data augmentation artificially increases the dataset by Read More >>>>

What are the benefits of cloud containers?

Cloud containers are software code packages that contain an application’s code, its libraries, and other dependencies that it needs to run in the cloud. Any software application code requires additional files called libraries and dependencies before it can run. Traditionally, software had to be packaged in multiple formats to run in different environments such as Read More >>>>

PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding

Recent advances in text-to-image generation have made remarkable progress in synthesizing realistic human photos conditioned on given text prompts. However, existing personalized generation methods cannot simultaneously satisfy the requirements of high efficiency, promising identity (ID) fidelity, and flexible text controllability. In this work, we introduce PhotoMaker, an efficient personalized text-to-image generation method, which mainly encodes an Read More >>>>

Measure performance with the RAIL model

RAIL is a user-centric performance model that provides a structure for thinking about performance. The model breaks down the user’s experience into key actions (for example, tap, scroll, load) and helps you define performance goals for each of them. Key point: Core Web Vitals is a newer initiative by Google to provide unified guidance for quality signals that are Read More >>>>

Hyper-scale Data Center Growth

Cisco’s report on the Global cloud index, predicts the magnitude of cloud-based traffic and the ever-growing demand for global data centers in the near future. With detailed explanations, supporting data points and substantial projections, the report projects the advancement of cloud-based servers. Cisco’s detailed forecast of the growth of its global data center and cloud-based Read More >>>>

Enterprises Confront – Cloud Computing Adoption and Confusion

It’s interesting to watch the stream of cloud computing articles that cross my desk. Five years ago, they all focused on how enterprises worried about cloud security and would, as a result, choose to build private clouds. In fact, most enterprises made their peace with cloud security and began adopting cloud computing. Two years ago, Read More >>>>

Quantum Computing

Cybersecurity is a primary concern today and is evolving in the face of digital contactless payment systems, accelerated business transformation, new multi-channel experiences, and people working from home as a result of the COVID-19 pandemic. New security threats are emerging and organizations are looking to technologies like quantum computing and machine learning (ML) to keep ahead of Read More >>>>

Automation’s Impact on the Job Market

Over the last quarter-century, automation, robotics, machine learning, and artificial intelligence have made the transition from science fiction to science fact. Automation is the wave of the future, but it carries with it the images of millions of workers out of a job, replaced by machines. The fear of being replaced has been around for Read More >>>>

Role of Experimentation in Artificial Intelligence

Today, Artificial Intelligence is being used to build data-driven organizations, initiate digital transformation, and help organizations leverage data to increase customer experience; the 21st century is finally aligning with what many would have expected from it a decade or two ago. We are at a standstill in time, where data is influencing every decision and forming the Read More >>>>