Posts by Melody Smith
Explaining the Technology
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 MorePerspective on Data Security
How safe is your personal data? Do you even know all the locations that hold your data? Work, home, social media? Don’t worry, because few people do. I often hear some variation of the claim that “young people today just don’t care about privacy.” This is something that people widely seem to believe. Protecting your personal…
Read MoreNavigating Data Terms
Among the latest trendy terms, data mesh is making its way to the top. But what is it? This interesting topic came to us from TechTarget in their article, “Benefits of data mesh might not be worth the cost.” A data mesh is a decentralized data architecture that organizes data by a specific business domain providing…
Read MoreTaxonomies and Education
When it comes to employees, organizations need to remember the different learning styles of their workforces and reskill their employees to keep up with 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 for Deep Capability Building…
Read MoreProtecting the Data Through Analytics
Cybersecurity is the discipline of deploying software tools and technologies to safeguard computing systems against cyberattacks, both external and internal. Data analytics can augment cybersecurity and predict data breaches through the application of methods and technology against advanced, evolving cyber threats. CompTIA brought this interesting information to us in their article, “Cybersecurity and Data Analytics: Double Dipping on Two…
Read MoreTransformation Starts in the Cloud
The ongoing push for digital transformation has long been driving organizations to upgrade and overhaul technology stacks toward service-based models. In 2023, the focus on people will drive digital transformation more than ever before as companies continue to reimagine what a hybrid workplace will look like. Analytics Insight brought this interesting news to our attention…
Read MoreContaining the Data
Data fragmentation refers to the dispersion of an organization’s data assets. The more data you have from different sources and stored in different spaces, the more likely it is to be scattered. This interesting information came to us from Blocks and Files in their article, “Data fragmentation needs a data intelligence fix.” Data governance means knowing…
Read MoreImproving Cloud Efficiency
One of the major benefits of using the cloud is its scalability. Cloud services can scale up or down very easily based on user requirements. If you use only on-premises infrastructure, you need to invest heavily in physical servers, networking equipment, and software licenses to scale up your growing business. Intelligent CIO brought this important…
Read MoreEngaging Algorithms for Predictive Analytics
When it comes to machine learning algorithms, your predictions are only as good as your data. And if you aren’t using the right data, you aren’t setting your models up for success. This interesting topic came to us from KD Nuggets in their article, “The Difference Between Training and Testing Data in Machine Learning.” When…
Read MoreTechnology and Disease
The past few years have been profoundly challenging for citizens, companies, and governments around the world. As COVID-19 spread, requiring far-reaching health and safety restrictions, artificial intelligence (AI) applications played a crucial role in saving lives and fostering economic resilience. This interesting information came to us from Tech Wire in their article, “Artificial Intelligence &…
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