Understanding the Data
With the rapid expansion of data across multiple clouds, it is challenging for companies to manually track all the data systems and data that exists within their organization. This interesting topic came to us from Security Boulevard in their article, “Improve Data Understanding, Accessibility, & Control With an Automated Data Catalog.” Business and technical users…
Read MoreTechnology Ethics
Artificial intelligence (AI) can be transformative for businesses, but the increased use of the technology inevitably leads to a higher rate of AI system failures. The World Economic Forum brought this interesting information to our attention in their article, “Scaling AI: Here’s why you should first invest in responsible AI.” AI has reshaped industries and…
Read MoreMaintaining Data Integrity
Data integrity is of paramount importance in business decision-making. Improving data integrity involves implementing measures to ensure the accuracy, consistency, and reliability of data throughout its lifecycle. CMS Wire brought this interesting topic to us in their article, “Maximizing AI and Machine Learning with Quality Data.” In conjunction with data integrity, establishing robust data governance practices…
Read MoreTaking Advantage of the Data
In machine learning and artificial intelligence (AI), data is the lifeblood that fuels the development of sophisticated algorithms and models. Raw data must be appropriately labeled and organized, however, to leverage the full potential of data-driven technologies. This process is known as data annotation. Analytics Insight brought this interesting information to our attention in their article, “Data Annotation and its Benefits for…
Read MoreManaging Human Skills with Taxonomies
When it comes to employees, organizations need to remember the variations in learning of their workforces and reskill their employees in a way to keep up with the changing technology and culture. Surprisingly enough, taxonomies can help. This interesting topic came to us from ATD Education in their article, “Putting Taxonomies to Work: Skills Tagging…
Read MoreUsing Taxonomies for Understanding
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 article,…
Read MoreThe 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…
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