Posts Tagged ‘Machine learning’
Data-Driven Decision-making
Organizations can gather intelligent data-driven insights by using new forms of databases and machine learning algorithms, along with real-time data processing capabilities. This enables customers to make strategic, informed decisions. The SAP New Center brought this interesting information to our attention in their article, “The Future of Analytics: How to Make Sense of Data and…
Read MoreThe Personal Touch of 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 MoreExplaining AI
MIT 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…
Read MoreValuable Technology
Data is gold. It is the lifeblood of machine learning models. But what happens when the access is limited? Is this where synthetic data can step up? Tech Republic brought this interesting information to our attention in their article, “Synthetic data: The future of machine learning.” Synthetic data is artificially generated by an artificial intelligence…
Read MoreThe Limitations of AI
Artificial intelligence (AI) is the field that has achieved immense success in recent years and accelerated our technological and digital boom. Everyone knows about the recommendations on Amazon and YouTube and how exactly the image or keyword search is carried out. We know that robots can serve as domestic help or support airport services. But…
Read MoreTechnology Trends
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, the two terms are some of the most searched terms…
Read MoreData is the Foundation
Organizations can gather intelligent data-driven insights by using new forms of databases and machine learning algorithms, along with real-time data processing capabilities. This enables customers to make strategic, informed decisions. The SAP New Center brought this interesting information to our attention in their article, “The Future of Analytics: How to Make Sense of Data and…
Read MoreUnderstanding AI Technology
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 MoreUsing the Best of Predictive Analytics
Everyone wants to know about the future – what to expect, how to act and most importantly, how to prepare. Predictive analytics is a specialized branch of data analytics that combines the power of data mining, data modeling, artificial intelligence (AI) and machine learning to make probabilistic predictions of future events. Analytics Insight brought this interesting topic to us…
Read MoreThe Promise of Quantum Computing
Quantum computing has rapidly advanced in both theory and practice in recent years, and with it the hope for the potential impact in real applications. One key area of interest is how quantum computers might affect machine learning. CIO Insights brought this interesting information to us in their article, “What is Quantum Machine Learning? Beginner’s Guide…
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