Analytics and Big Data
The rise of big data has transformed the way organizations make decisions. With the exponential growth of data, companies have been able to collect and analyze more information in real-time to gain insights about customer behavior, market trends, and operational efficiency. This has led to a shift from traditional decision-making processes to data-driven decision-making, where…
Read MoreAI in Healthcare
Artificial Intelligence (AI) is playing a transformative role in the field of healthcare by aiding in the diagnosis of diseases. The application of AI in medical diagnosis has the potential to enhance accuracy, speed up processes, and provide valuable insights to healthcare professionals. This topic came to us from UT Health in San Antonio in…
Read MoreBlockchain and AI
The key advantage of artificial intelligence (AI) is its ability to simulate human reasoning and react quickly to large volumes of many different inputs. This is also its drawback, however, since the complexity of the AI decision-making process is often not transparent. Complex machine learning models in AI, such as deep neural networks, are often black boxes.…
Read MorePredictive Analytics and AI
Festo recently announced a new artificial intelligence (AI) platform for predictive maintenance, predictive quality, and energy optimization. Using advanced analytics, Festo AX maps data to learn a component, machine, product, or energy system’s healthy state. Festo AX provides actionable information to correct anomalies when data begins trending out of normal. This interesting topic came to…
Read MoreDigging in the Data
Big data analytics is of paramount importance in today’s data-driven world. It involves the process of collecting, processing, and analyzing large and complex datasets to uncover meaningful insights, patterns, trends, and correlations that would be difficult or impossible to identify through traditional data analysis methods. This interesting information came to us from MarkTechPost in their…
Read MoreImproving Findability
Findability focuses on the design and organization of information to ensure that it can be effectively discovered and retrieved by users who are searching for it. This interesting topic came to us from CXO Today in their article, “Findability Sciences Trains Over 100 Data Analysts and Scientists in Problem formulation & Prompt engineering.” By addressing…
Read MoreAI and E-Commerce
One of the primary roles of emerging technologies is to make humans more efficient and more effective. Technological advances help us to do more while using fewer resources, enhancing products and services, and fueling innovation. Ad Age brought this topic to us in their article, “How Machine Learning Can Create a More Relevant, Profitable E-Commerce Experience.” E-commerce…
Read MoreMaking Content Findable with Semantic Tech
Graph databases work in conjunction with semantic technology to enhance data management and analysis. City Life brought this interesting topic to our attention in their article, “How Global Graph Databases are Transforming the Future of Technology.” Graph databases are designed to store and represent data in the form of nodes and relationships, which makes them…
Read MoreData Enrichment Improves Findability
Enriching metadata with better tags and descriptions makes it easier for anyone to search and find quicker and more easily. Recent advances in IT and artificial intelligence (AI) offer remarkable opportunities for the automatic enrichment of cultural heritage metadata with minimal resources. Involving humans in this work nevertheless remains important. This interesting topic came to…
Read MoreGoverning the AI
Artificial intelligence (AI) governance is the idea that there should be a legal framework for ensuring that machine learning technologies are well researched and developed with the goal of helping humanity navigate the adoption of AI systems fairly. This interesting information came to us from Fortune in their article, “Investors are pouring billions into artificial intelligence. It’s time for a…
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