Posts Tagged ‘Explainable AI’
Using 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 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…
Read MoreAI and Analytics
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 away from nominal. This interesting topic came to…
Read MoreUnderstanding Machine Learning through Taxonomies
Researchers are striving to improve their descriptions of features 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 easier for their target audiences to understand. This interesting information came to us from Science Daily in their article,…
Read MoreEmerging Tech as a Learning Tool
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans – to 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…
Read MoreData Security and Privacy in AI
Artificial intelligence (AI) models that are built on consumer data must also be built with data privacy in mind. It is understandable that some users are hesitant of automated systems that collect and use their data, so to remain viable, AI models must incorporate privacy protection into their design. This interesting topic came to us…
Read MoreNavigating the Digital Age
It is no secret that the success of any enterprise is highly dependent on the satisfaction of its clients in the digital age. Customers and clients embrace every new technology, and so must we. This interesting topic came to us from Appinventiv in their article, “How can cloud adoption accelerate enterprise digital transformation?“ With the…
Read MoreThe AI Family
Machine learning and data science are two separate concepts that are related to the field of artificial intelligence (AI), but both rely on data. This interesting topic came to us from Unite.AI in their article, “Machine Learning vs Data Science: Key Differences.” In the 21st Century, these two terms are some of the most searched terms…
Read MoreAssumptions around Machine Learning
As enterprises increasingly transition into cloud data management, the risk of cyberattacks has grown. Cyberattacks can harm companies in terms of both financial status and organizational reputation. Analytics Insight brought this interesting information to our attention in their article, “What Are The Challenges Faced By Data Science Professionals?“ Organizations should utilize advanced artificial intelligence (AI)-powered…
Read MoreUnderstanding AI through Taxonomies
Machine learning models are growing in complexity and researchers are improving models that have trouble understanding decisions. This interesting subject came to us from RT Insights in their article, “MIT Researchers Create Explanation Taxonomy to ML Models.” In finance, healthcare, and logistics, businesses are attempting to implement artificial intelligence (AI) in their decision making processes, but…
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