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 ...
Rx Data Science and Artificial Intelligence
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Difference Between Artificial Intelligence, Machine Learning, and Deep Learning
The difference between Artificial Intelligence, Machine Learning, and Deep Learning is that the algorithm's job is to recognize a pattern in data and execute the task in the first two. Still, in the ...
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, ...
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 ...
Things You Need to Know (and Do) Before Adopting AI
Artificial Intelligence (AI) has enjoyed some giant strides forward during the last couple of years. With advancements in deep machine learning, predictive forecasting, Internet of Things (IoT), ...
Integrating AI into the Workforce
Just a few years ago nobody would have thought that AI would be a vital part of business today, but businesses around the world are continuing to find new reasons to use it to eliminate day-to-day ...
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