Posts by Melody Smith
Insight into Your Customers
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…
Read MoreDeep Learning Algorithms and Seismic Data
Emerging technologies are used in every aspect of our lives: healthcare, financial, and now, environmental. MIT Technology Review brought this information to our attention in their article, “A deep-learning algorithm could detect earthquakes by filtering out city noise.” Noise is the enemy of seismic data detection. It is more than an inconvenience; it can become…
Read MoreSecuring Data for Findability
Data is valuable. Securing it has always been a challenge. Data integrity refers to the accuracy and consistency of data over its lifecycle. Compromised data, after all, is of little use to enterprises, not to mention the dangers presented by sensitive data loss. For this reason, maintaining data integrity is a core focus of many…
Read MoreUnderstanding Data
In this world of digital, 80% of all data generated is unstructured. This poses a challenge for finding, processing and analyzing data. This interesting information came to us from Taiwan News in their article, “Natural Language Processing Market is Going to Boom with Microsoft, IBM, Google, Apple.” To help them decipher what data has to…
Read MoreThe Importance of a Taxonomy
A taxonomy is a set of concepts organized into a hierarchical structure covering a topical domain. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. This interesting information came to our attention from Open Text in their blogpost, “The wielding force of a taxonomy.” Creating information…
Read MoreMetadata Enrichment Improves Discoverability
Managing metadata can be a challenge. Metadata management for publishers has become a highly complex process. It is all about digital discoverability. This important information came to us from Supadu in their article, “Why is metadata enrichment so important?“ Metadata enrichment can improve the quality of your metadata and can lead to success in discoverability.…
Read MoreUnderstanding How AI Works
Artificial intelligence (AI) is transforming the way we think, work and even live. In a recent survey, a majority of respondents said their organizations have adopted AI capabilities, because AI’s impact on both the bottom line and cost saved is growing. Data Quest brought this topic to us in their article, “5 reasons you need to…
Read MoreFinding Useable Data
As data volumes, varieties and velocities increase, securely storing, processing and governing your data becomes more challenging. This interesting topic came to our attention from CIO in their article, “Prevent your data lake from turning into data swamp.” The flexibility of schema in a data lake allows users from different operational silos of a business…
Read MoreUnderstanding Machine Learning’s Role
Researchers have developed an automated method using machine learning to predict the effectiveness of viral diagnostic tests and design optimized ones. This interesting news came to us from Phys.org in their article, “Machine learning could help scientists design better viral diagnostics.” ADAPT uses trained algorithms to predict the best sequences for a diagnostic, promising to…
Read MoreConnections are Impacting Everything
Artificial intelligence (AI) is revolutionizing the way the technology is developing. Its impact is not limited to just one industry either. This interesting topic came to us from The Free Press Journal in their article, “Will Artificial Intelligence be driving force behind the future of healthcare startups?“ From security to healthcare to manufacturing, every aspect…
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