Posts by Melody Smith
Data Value and Data Quality
Data is the lifeblood of industry. After all, data is intrinsic to every advanced manufacturing operation. Better decision-making and process improvements can’t be accomplished without operational data. Technative brought this interesting information to our attention in their articles, “Why Poor Data Quality is Holding Back Big Data.” It has never been more important to be…
Read MoreAI and Its Many Facets
Artificial intelligence (AI) is more than one thing. It is futuristic, helpful, life-changing and overused – all at the same time. This interesting information came to us from Quora in their post, “What is the relation between Semantic Web and AI?“ There is AI in information science, there is AI in smart self-driving cars and…
Read MoreManaging Knowledge
Knowledge graphs have emerged as a compelling abstraction for organizing the world’s structured knowledge, and as a way to integrate information extracted from multiple data sources. KM World brought this interesting news to our attention in their article, “Turning data into gold: Knowledge graphs, AI, and machine learning.” Knowledge graphs sit at the epicenter of artificial…
Read MoreCompliance with Fragmented Data
Data fragmentation refers to the dispersion of an organization’s data assets. The more data you have from different sources and stored in different spaces, the more likely it is to be scattered. This interesting information came to us from Blocks and Files in their article, “Data fragmentation needs a data intelligence fix.” Data visibility means knowing…
Read MoreInsight from Analytics
Many industries use big data to learn about their customers and tailor their products or services accordingly. In health care, big data sources include patient medical records, hospital records, medical exam results and information collected by healthcare testing machines. Health IT Analytics brought this interesting information to our attention in their article, “How to Create…
Read MoreBias in Technology
Technology can make a decision faster. That doesn’t make it fair. Algorithmic discrimination or bias is a new term, but not a new problem. This interesting news came to us from Wired in their article, “China Is About to Regulate AI—and the World Is Watching.” When thinking about machine learning or AI tools, think about…
Read MoreEmerging Technologies and Climate Change
As climate change intensifies the devastation from storms, wildfires and droughts, artificial intelligence (AI) and digital tools are increasingly being seen as a way to predict and limit its impacts. Some researchers are taking emerging technologies and turning them into a vehicle for climate action. Could it be that climate change is the catalyst that…
Read MoreTechnologies in Cybersecurity
Machine learning can examine terabytes of historical data and apply parameters to its decisions in fractions of seconds. This is one significant way it sets itself apart from humans. This is helpful when you’re managing all activity in a data center. Analytics Insight brought this interesting information to our attention in their article, “How Machine Learning…
Read MoreManaging Data Through Transitions
Organizations often undergo changes due to mergers and acquisitions, joint ventures and system upgrades. These transitions can create silos containing inconsistent and redundant data. Data conversion is a key step in this process that converts raw data into meaningful information. Tech Target brought this interesting information to us in their article, “Improve data value by…
Read MoreApplications of Predictive Analytics
Predictive analytics uses historical data to predict future events. Typically, the data is used to build a mathematical model that captures important trends. That predictive model is then used on current data to predict what will happen next, or to suggest actions to take for optimal outcomes. This interesting information came to us from Analytics…
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