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,…
Read MoreData 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.…
Read MoreAI 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…
Read MoreTechnologies 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…
Read MoreData and People
Is there such a thing as too much data? Many organizations have begun to realize that having excess data does not necessarily translate to excess value. In some ways, data is more of a liability than an asset. But there are ways to approach a plethora of data to leverage its true power despite the…
Read MoreInsight and Strategy
Predictive analytics uses historical data to predict future events. Typically, the data is used to build a mathematical model that captures important trends. That predictive model is then used on current data to predict what will happen next, or to suggest actions to take for optimal outcomes. This interesting information came to us from Analytics…
Read MoreThe Future of Data Scientists
Many are concerned that ChatGPT may eliminate careers in data science. While generative artificial intelligence (AI) has the potential to automate certain aspects of data analysis and data generation, it is unlikely to replace data scientists entirely. Analytics Insight brought this interesting topic to our attention in their article, “Will Data Scientists Soon Become Obsolete Due…
Read MoreImproving Care with Emerging Tech
It is no surprise that emerging technologies like artificial intelligence (AI) are being used in healthcare. The news is how it continues to advance and find new applications in all aspects of patient care. This interesting information came to us from the American Medical Association in their article, “How do AI, VR help doctors deliver…
Read MoreEmbracing Green Technology
2023 is quickly becoming a pivotal year for organizations as technologies emerge and advance and 5G enables innovation and revolutionary models of connectivity. The growth in many areas, including 5G, robotics, green technology, and digital skills and reskilling continues to evolve. This interesting topic came to us from Bizz Buzz in their article, “How these…
Read MoreData Analytics and Generative AI
Generative artificial intelligence (AI) is beginning to materially affect what organizations can do with their data. Tech Target brought this interesting information to us in their article, “Generative AI hype evolving into reality in data, analytics.” Generative models can generate synthetic data that resembles real data, helping to augment a dataset and increase its size.…
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