The Impact of AI for Patients
Artificial Intelligence (AI) is playing a transformative role in the field of healthcare by aiding in the diagnosis of diseases. The application of AI in medical diagnosis has the potential to enhance accuracy, speed up processes, and provide valuable insights to healthcare professionals. This topic came to us from UT Health in San Antonio in…
Read MoreThe Familiarity of AI
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 and their article, “How Artificial Intelligence and Machine Learning Will Reshape Enterprise Technology.” These days, AI is more common than one may think, as it is being used worldwide across multiple industries…
Read MoreDiving into Analytics
Artificial intelligence (AI)-powered systems can analyze data from hundreds of sources and offer predictions about what works and what doesn’t. AI can also deep dive into data analytics about customers and offer predictions about consumer preferences, product development, and marketing channels. This interesting information came to us from IT Web in their article, “The (near)…
Read MoreThe Role of Analytics Behind Data-Driven Strategies
In today’s fast-paced and digitally connected world, businesses are inundated with vast amounts of data. This data, when harnessed effectively, can power better-informed decision-making and strategic planning. At the heart of this transformative process lies analytics – the systematic exploration and interpretation of data – which plays a pivotal role in shaping successful data driven…
Read MoreCentering on Data
Data has never been more powerful, useful, and revelatory. This is true regardless of the subject matter and includes all types and sources of data, including healthcare data, transaction data, and even human resources data. Human Resource Executive brought this interesting information to our attention in their article, “Your HR data is extremely valuable—how to…
Read MoreGambling on Technology
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…
Read MoreSemantic Search in Social Media
Elon Musk is investing in artificial intelligence (AI) and building his own generative AI models. He recently announced they are also working on semantic search for X, formerly Twitter. This news came to us from Social Media Today in their article, “Elon Musk Says Semantic Search Coming Soon to X.” Semantic search in social media…
Read MoreBoth Sides of Generative AI
There has always been fear surrounding artificial intelligence (AI) and, with the recent advances using natural language processing (NLP) and chatbots, it has increased by quite a bit. There are, however, perpetual advances in science. It’s up to us to find the benefits where we can. Analytics Insight brought this interesting information to our attention…
Read MoreDeep Learning is About Training
Deep learning training is the process whereby a deep neural network is taught using a set of data such that it can make predictions for a modeled event. It can involve trial and error, and it can take many tries until the network is able to accurately draw conclusions based on the training data. Constructing training…
Read MoreTechnology in Marketing
The future of marketing is driven by technology, data, and consumer behavior. There are also strong emphases on delivering personalized, engaging, and socially responsible experiences for customers. What does this mean to day-to-day data management? Business Day brought this interesting information to us in their article, “Technology, data, consumer behaviour driving future of marketing –…
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