Using Metadata for Findability
Meta tags are snippets of text that describe a page’s content. They won’t appear on the page itself, but only in the page’s code. Think about them as little content labels for helping search engines organize information. Meta tags or metadata has been around almost since the beginning of search engine history. They were valued as…
Read MoreEmerging Tech Changing Businesses
Artificial intelligence (AI) has been a game-changer for all industries. Businesses are using AI tools to automate processes, improve decision-making, and gain a competitive edge. AI is transforming the way businesses approach governance, risk, and compliance tasks as well as security operations. This interesting information came to us from ISACA in their article, “The Urgent…
Read MoreClassifying for Findabilty
The concept of classified and declassified data when it pertains to security is understandable, but there is a broader type of data classification for businesses which factors into the success of a data analytics pipeline. Tech Target brought this interesting information to our attention in their article, “Data analytics pipeline best practices: Data classification.” There…
Read MoreData Literacy is in Demand
A recent study reveals that students’ data analysis skills have dropped. Even as the information science world and global job market is putting more emphasis on these skills and aptitudes – and more data is available for analysis on a record-setting basis each day – teachers say they’re putting less emphasis on the subject. The…
Read MoreStoring All That Data
Data warehousing is the process of collating data from multiple sources in an organization and storing it in one place for analysis, reporting, and business decision making. The measure of an effective data warehouse is the degree to which key business stakeholders trust the data that is stored within. TechRepublic brought this interesting information to…
Read MoreLooking Inside
MIT researchers are striving to improve the interpretability of standardized features of machine learning algorithms, so decision makers will be more comfortable using the outputs of machine learning models. They have developed a taxonomy to help developers craft features that will be easy for their target audience to understand. This interesting information came to us…
Read MoreUsing Technology in FinTech to Fight Fraud
Internet fraud continues to be a menace in society, especially in healthcare and financial institutions. Many fintech companies have been victims of fraud. Detection of these attacks comes via two paths: through inconsistent traditional methods or using ever-growing artificial intelligence (AI) mechanisms. Entrepreneur brought this interesting information to us in their article, “How AI and Machine Learning…
Read MoreAnalytics in Business Intelligence
Business intelligence describes the strategies, technologies, and tools that companies use to obtain business information. It also describes the information itself. Then there is data analytics — the technical process through which we obtain actionable insights from raw data. Not the same, but not isolated from one another. This interesting information came to us from…
Read MoreToo Much of a Good Thing
Many organizations have begun to realize that having an excess of data is not necessarily as valuable as they thought. In some ways, it can become more of a liability than an asset. But there are ways to leverage a plethora of data that are truly powerful. InfoWorld brought this interesting information to our attention…
Read MoreUnderstanding ChatGPT
Chat bots like GPT are fed both by great amounts of data and natural language algorithms, and they make predictions for putting words together such that they convey meaning to humans. They not only tap into a vast vocabulary and phraseology: they understand context. This helps them mimic speech patterns and engage on a wide…
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