The Power of AI and Cloud Computing

As businesses are expanding and evolving, they are looking to cloud computing and artificial intelligence (AI) for solutions. Cloud computing offers numerous benefits, such as scalability, cost efficiency, and accessibility, but it also comes with specific security risks. It’s essential for organizations to be aware of these risks and take appropriate measures to mitigate them.…

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Business Intelligence Relies on Data

Data management continues to be critical for optimizing data usage and driving better business outcomes. Tech Target brought this interesting information to our attention in their article, “Data management trends: Convergence and more money.” Many organizations have struggled to deal with the ongoing impact of the pandemic, inflationary concerns, and the specter of economic slowdown.…

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Learning From Machines

Since machine learning models are imperfect, people must understand when to believe a model’s predictions in high-stakes situations. MarkTechPost brought this interesting news to our attention in their article, “MIT researchers have developed a new technique that can enable a machine learning model to quantify how confident it is in its predictions.” Robust machine learning…

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Building Trust

Trust is a rare commodity in the digital age and in any industry. Between artificial intelligence (AI)-created content and questionable standards of ethics, it has never been harder to trust data. Data is nevertheless essential for making informed decisions and avoiding costly mistakes. This interesting topic came to us from Information Week in their article,…

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Predictive Analytics and AI

Artificial intelligence (AI) has been helping us in various applications such as customer service, financial transactions, and healthcare. Now researchers have found that AI can be used to predict natural disasters. AI can forecast the occurrence of several different types of natural disaster using vast volumes of high-quality data and is therefore now at the…

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Protecting the 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…

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Data Management in the Financial Sector

Data management plays a crucial role in the financial world, where vast amounts of data are generated, processed, and analyzed daily. The financial sector deals with a wide range of data, including customer information, transaction records, market data, economic indicators, and regulatory data. Information Week brought this interesting news to our attention in their article,…

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Data Driven Solutions in Healthcare

The United States Department of Health and Human Services (HHS) has pledged $90 million to help reduce health disparities with data-driven solutions. Specifically, this pledge will allow health centers to expand analytics and reporting capabilities, eventually enhancing healthcare services and supporting patient-level UDS+ data submissions through the collection of more precise data on health disparities.…

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AI and Data Privacy

It is understood that artificial intelligence (AI) models that are built on consumer data must also be built with data privacy in mind. 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 information came to us…

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Technologies That Improve Findability

Natural language processing (NLP) and natural language understanding (NLU) are often-confused technologies that together make search more intelligent, ensuring people can find what they want. The intelligence is had through semantic search. NLP is a branch of artificial intelligence (AI) that deals with the interaction between computers and humans using natural language. NLU is a subset of NLP that…

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