Posts by Melody Smith
Using Emerging Tech in Managing Energy Needs
If we’re going to rely on more renewable energy sources, utilities will need better ways of predicting how much energy is needed, in real time and over the long term. There has been much discussion and debate in the scientific community regarding the efficacy and suitability of machine learning techniques to help improve our understanding of local…
Read MoreSave Lives with Data
Access to data is important in any industry. In healthcare, it can save lives. HIT Consultant brought this news to us in their article, “How Faster Data Access Can Save Lives.” When you’re waiting for an answer to cure or prevent a disease, the difference in days to weeks to months can feel like forever. Scientists and…
Read MoreFocusing on Machine Learning Education
Machine learning is a concept which allows the machine to learn from examples and experience. The machines don’t write the codes. The data is fed in the generic algorithm. The algorithm that machine builds is the logic based on the given data. This interesting news came to us from Grand Canyon University in their article,…
Read MoreThe Growth of Smart Cities
Smart cities are here. While many cities are still working on improving their infrastructure, the more advanced smart cities are using technologies such as artificial intelligence (AI), machine learning (ML), Internet of things (IoT) and big data to support sustainable development, meet rising expectations and improve resilience. Business World brought this interesting information to our attention…
Read MoreAddressing the Quality of Data
Data quality is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it’s up to date. Data quality issues significantly impact thousands of organizations every day. Solutions Review brought this interesting information to us in their article, “What is Data Observability and How Does it Improve…
Read MoreTraining Technology
Bayesian machine learning has become increasingly popular because it can be used for real-world applications such as credit card fraud detection and spam filtering. This interesting topic came to us from Towards AI in their article, “Bayesian Inference: The Best 5 Models and 10 Best Practices for Machine Learning.” This is of fundamental importance to the…
Read MoreThe Intent of Search
Many things have changed since 2010 when search engine optimization (SEO) was more concerned with getting as many backlinks as you could and including as many keywords as possible. The focus has shifted to understanding intent and behavior, and the context – semantics – behind them. Machine learning or semantic technology is the basis for most commercial artificial…
Read MoreData Analytics and the Cloud
The benefits of moving data analytics to the cloud are many but can disappear if businesses don’t have the expertise to manage the cloud’s complexities. RT Insights brought this interesting topic to us in their article, “Moving to the Cloud for Better Data Analytics and Business Insights.” Numerous specialized database technologies are emerging to facilitate…
Read MoreDoing Data Warehousing Better
Data warehousing is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed for greater business intelligence. If you ask enterprises how they feel about their data warehouses, a high percentage express dissatisfaction. Their chief complaints are around the struggle to load data, data warehouse can’t handle…
Read MoreGoverning Data for Quality
Organizations are adopt advanced artificial intelligence (AI)-enabled solutions at a growing rate. With data management challenges continuing to mount on technology teams, the technology decision-makers are realizing that without a firm data strategy provisioning enterprise-wide supply of data on demand, machine learning and AI adoption will remain just another set of buzz words. Tech Republic…
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