Posts Tagged ‘Machine learning’
Emerging Tech Family
Artificial intelligence (AI) brings with it the possibility 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 interchangeably, but they are often used in the wrong context.…
Read MoreAI and the Financial World
Many economists haven’t embraced artificial intelligence (AI) technology because the predictive algorithms can’t answer questions about correlation and causation yet. The Economic Times brought this interesting topic to us in their article, “How machine learning is changing the game of investing.” For decades, economists have built their assumptions about prices, wages, and inflation on data…
Read MoreUnderstanding Data
Organizations committed to data driven decision making often share common concerns about privacy, data integrity, and a lack of sufficient data. Synthetic data allows companies to share data and create algorithms more easily. This interesting information came to us from MIT’s Sloan School of Management in their article, “What is synthetic data — and how…
Read MoreFighting 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 MoreUsing Machine Learning to Better the Environment
Many cities are looking at how they can employ emerging technologies like machine learning to improve the environment. Carbon reduction programs aimed at the business and residential building sectors are a top priority. Tech Explorist brought this interesting topic to our attention in their article, “Machine Learning can be used to improve energy use in…
Read MoreTraining Data
Deep learning training is when a deep neural network learns how to analyze a predetermined set of data and make predictions about what it means. It involves a lot of trial and error, until the network is able to accurately draw conclusions based on the desired outcome. Constructing training data sets for deep learning models involves…
Read MoreChanging the Rules
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 MoreExplaining the Technology
Researchers are striving to improve the interpretability 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 audience to understand. This interesting information came to us from Science Daily in their article,…
Read MoreEngaging Algorithms for Predictive Analytics
When it comes to machine learning algorithms, your predictions are only as good as your data. And if you aren’t using the right data, you aren’t setting your models up for success. This interesting topic came to us from KD Nuggets in their article, “The Difference Between Training and Testing Data in Machine Learning.” When…
Read MoreDeveloping Technologies
Deep learning and artificial intelligence (AI) are rapidly evolving fields with new technologies emerging constantly. There are new applications for these technologies being developed on a daily basis. There are also variations on these technologies as well. This interesting information came to us from CoinTelegraph in their article, “5 emerging trends in deep learning and…
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