AI in the Information World
The popularity of artificial intelligence (AI) and the expansion of cloud computing is leaving an impression in the information management world. Using AI in the cloud can improve cloud performance and efficiency while driving digital transformation in enterprises. The Scholarly Kitchen brought this interesting information to our attention in their article, “Guest Post — Leveraging…
Read MoreWhy Taxonomies Matter
Taxonomy is the practice and science of classifying things or concepts. Those of us in the business of information science know it as the essential tool to make content findable, regardless of the subject. Many others know it as the branch of science concerned with identifying and classifying species. It is not always regarded as…
Read MoreMaintaining Quality of Data
Data quality has never been more important. It is at the heart of the success of enterprise artificial intelligence (AI) and other emerging technologies. It remains the main source of challenges for companies that want to apply machine learning in their applications and operations. Venture Beat brought this interesting information to our attention in their article, “Why data…
Read MoreExplaining Technology
An algorithm is a procedure used for solving a problem or performing a computation. Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. This interesting topic came to us from eWeek in their article, “AI vs. Algorithms.” Even the smallest of artificial intelligence (AI)…
Read MoreEmerging Technologies Today and Tomorrow
Everything has an expiration date. We move ahead as a civilization leaving behind everything that doesn’t evolve, time and efficiency being the judge and jury of what gets left behind in our collective consciousness. New technologies, such as mobile applications, wireless sensor networks and online computer/video gaming, show great promise for advancing citizen science. This…
Read MorePersonalizing AI
Artificial intelligence (AI) brings with it a promise of genuine human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points and draw conclusions. They can reason, observe and plan. It’s very common to hear the terms “machine learning” and “AI” thrown around in the wrong context, but they are not the same.…
Read MoreQuality In – Quality Out
Data quality is the measure of how well suited a data set is to serve its specific purpose. Measures of data quality are based on data quality characteristics such as accuracy, completeness, consistency, validity, uniqueness and timeliness. Data quality is essential to operate a successful data pipeline and enable data-driven decision-making. This interesting information came…
Read MoreThe Evolution of AI in the Financial Sector
Artificial intelligence (AI) permeates every part of our modern lives. The incredible progress made in AI and machine learning, as well as the growth of digital ecosystems, has benefited all industries, including financial. This interesting information came to us from Mark Tech Post in their article, “The Impact of Artificial Intelligence (AI) on the Financial…
Read MoreLearning by Example
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans – learn by example. Venture Beat brought this information to us in their article, “This is what makes deep learning so powerful.” Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign…
Read MorePerspective on Data
Data is the fuel and energy driving businesses all around the world. As we become more reliant on digital technology, more data is generated. Data translates to information and business intelligence. This interesting topic came to us from Tech Talks in their article, “What is data visualization and how can it benefit businesses?“ Data visualization…
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