Posts by Melody Smith
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 aimed at retailers who are concerned about product discovery on their digital platforms. This interesting information came to us from CIO in their article, “Google Cloud brings its search smarts to…
Read MoreThe Next Emerging Technology
Emerging technology is a term generally used to describe a new technology, but it may also refer to the continuing development of an existing technology. It can have slightly different meaning when used in different areas, such as media, business, science or education. However, the term commonly refers to technologies that are currently developing, or that…
Read MoreMetadata 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 it describes. A new edition of a resource has been released for those in the real-world practice of metadata. This news came to us from Facet Publishing in their article, “Metadata for…
Read MoreLearning 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 fed in the generic algorithm. The algorithm that machine builds is the logic based on the given data. This interesting news came to us from Grand Canyon University in their article,…
Read MoreUsing 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 interesting topic came to us from Towards AI in their article, “Bayesian Inference: The Best 5 Models and 10 Best Practices for Machine Learning.” This is of fundamental importance to the…
Read MoreEmbracing 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 to integrate analytical tools into their business decision-making practices. This interesting topic came to us from InfoWorld in their article, “3 data quality metrics dataops should prioritize.” Data-driven decisions require data…
Read MoreSynthetic 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 this topic to our attention in their article, “Is ‘fake data’ the real deal when training algorithms?“ Big data defines the field of AI by training deep learning algorithms to have…
Read MoreEvolving 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 organization is getting the most from what could be its most valuable asset. Tech Target brought this interesting information to our attention in their article, “The evolution of the chief data…
Read MoreTransformational 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 to us from CIO in their article, “What’s next for digital transformation?“ There are organizations who have used digital transformation to improve efficiency and profitability. These companies have introduced customer relationship…
Read MoreLost 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 data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs. Venture Beat brought this interesting information to our attention in their article, “Conversational data platform taps…
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