Financial Technology Going Forward
Financial services companies are using emerging technologies in a wide range of settings. From customer service chatbots to automation of loans and insurance underwriting, disruptive digital […]
Finding Efficiently
Findability for users (whether internal or external) is important. Google Cloud has released a new fully managed search tool, called Retail Search, which is […]
Metadata in Digital Search
Often referred to as data that describes other data, metadata is structured reference data that helps to sort and identify attributes of the information […]
Learning Machine Learning
Machine learning is a concept which allows the machine to learn from examples and experience. The machines don’t write the codes. The data is […]
Using Data Science for Probability
Bayesian machine learning has become increasingly popular because it can be used for real-world applications such as credit card fraud detection and spam filtering. This […]
Embracing Data
Many corporations are integrating data capture and analysis into their decision-making processes. In fact, many business executives are enhancing their skills to allow them […]
Synthetic Data and Bias
The use of synthetic data is a cost‑effective way to teach artificial intelligence (AI) about human responses. But what about bias? The Guardian brought […]
Evolving Data Leadership
Chief data officers (CDO) are a relatively new role in an organization. They are responsible for a range of data-related functions to ensure an […]
Transformational Data
Digital transformation has been around for many years, yet most companies have failed to grasp the extent of what it means. This interesting topic came […]
Lost in Translation
Sentiment analysis is a natural language processing (NLP) technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual […]