Intelligent Devices Day-To-Day

Artificial intelligence (AI) is revolutionizing the way the technology is developing. Its impact, however, is not limited to one industry. This interesting topic came to us from The Free Press Journal in their article, “Will Artificial Intelligence be driving force behind the future of healthcare startups?“ From security to healthcare to manufacturing, every aspect of…

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Machine Learning and Retail

Data is indispensable for an e-commerce business, especially if that business wants to take advantage of a machine learning-based customer engagement platform to optimize the customer experience. Analytics Insight brought this topic to us in their article, “How Does Poor Data Impact AI Systems?“ In today’s e-commerce landscape, the customer experience is everything. In order…

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AI and the Environment

If we’re going to rely on more renewable energy sources, utilities will need better ways of predicting how much energy is needed, in real time and over the long term. There has been much discussion and debate in the scientific community regarding the efficacy and suitability of machine learning techniques to help improve our understanding of local…

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Understanding Machine Learning

Machine learning is a field related to artificial intelligence (AI) that focuses on the development of algorithms and models enabling computers to learn from and make predictions and decisions based on data, without having been explicitly programmed to perform specific tasks. This interesting topic came to us from The Scholarly Kitchen in their article, “The…

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Common Denominator

“Artificial intelligence” (AI) and “machine learning” are becoming daily terminology not only for professionals but also consumers. This interesting topic came to us from Built In in their article, “How Artificial Intelligence and Machine Learning Will Reshape Enterprise Technology.” These days, AI is more common than one may think, because it is being used worldwide across multiple industries,…

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Keeping the Data Clean

Deep learning training is when a deep neural network learns from a predetermined set of data to make predictions. It involves trial and error, and it doesn’t end until the network is able to accurately draw conclusions. Constructing training data sets for deep learning models involves billions of data samples, curated by crawling the Internet. Trust…

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Quality and Integrity

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…

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Can Emerging Tech Fight Fraud?

Internet fraud continues to be a menace to 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…

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Technology and Marketing

The advertising industry has evolved considerably in the past century. Now diversified and modernized, the mid-century Madison Avenue advertising ecosystems are disappearing. What caused this shift? There has been at least one tool that’s been especially vital to this evolution – artificial intelligence (AI). This interesting topic came to us from Ad Age in their…

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Search and Ontologies

Ontologies play a crucial role in artificial intelligence (AI) by providing a structured representation of knowledge within a specific domain. An ontology defines a set of concepts, their relationships, and their properties, capturing the essential knowledge about particular subject matter. This interesting topic came to us from Tian Shan in their article, “Understanding Cognitive Search…

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