Posts by Melody Smith
Machine Learning Models Evolve
The next generation of the machine learning observability platform has released to specifically solve troubleshooting bottlenecks and pain points experienced every day by thousands of machine learning engineers, data scientists and other practitioners responsible for deploying and maintaining machine learning models. This interesting news came to us from PR Newswire in their article, “Arize AI Introduces…
Read MorePlan to Plan
A data analysis plan is about putting thoughts into a plan of action. It refers to articulating how your data will be cleaned, transformed and analyzed. CMS Wire brought this interesting information to our attention in their article, “How to Start Analyzing Before the Data Arrives.” Far too often, organizations collect data without a question…
Read MoreEmerging Technologies and Cybersecurity
As enterprises increasingly transition into cloud data management, the risk of cyberattacks has grown. Cyberattacks can harm companies in terms of both financial status and organizational reputation. Analytics Insight brought this interesting information to our attention in their article, “What Are The Challenges Faced By Data Science Professionals?“ Organizations should utilize advanced artificial intelligence (AI)-powered…
Read MoreAddressing the Bias in AI
Responsible artificial intelligence (AI) is the practice of designing, developing and deploying AI with good intention to empower employees and businesses, and fairly impact customers and society. This interesting topic came to us from tdwi in their article, “How Ethical AI Is Redefining Data Strategy.” AI is built on the back of increasingly sophisticated algorithms…
Read MoreThe Flood of Data
When the amount of new data generated surpasses the limit of institutions to manage it, and makes it difficult for analysts to analyze it and researchers to deduce any useful conclusions from it, this is known as a data deluge. This interesting topic came to us from the Society for Human Resource Management (SHRM) in…
Read MoreUnderstanding the Why
Explaining artificial intelligence (AI) can be a challenge. This particular video demonstrates the challenges of explainable AI from different perspectives. It came to us from Wired in their article, “Computer Scientist Explains Machine Learning in 5 Levels of Difficulty.” Understanding machine learning and how it works is valuable to those who are proficient in the…
Read MoreAI in Healthcare
Robotics and artificial intelligence (AI) are two related but entirely different fields. Robotics involves the creation of robots to perform tasks without further intervention, while AI is how systems emulate the human mind to make decisions and learn. Analytics Insights brought this interesting and applicable topic to our attention in their article, “Impact of AI…
Read MoreThe Details on Deep Learning
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans – learn by example. Venture Beat brought this information to us in their article, “This is what makes deep learning so powerful.” Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign…
Read MoreCareers in Data Management
It shouldn’t be surprising that the number of data analytics jobs in the power industry in North America was up almost 4% in the same quarter last year. This interesting information came to us from Power Technology in their article, “North America is seeing a hiring boom in power industry data analytics roles.” Simply put,…
Read MoreCybersecurity and AI
Artificial intelligence (AI) technology can be a powerful asset in business. It allows machines to think for themselves with speed and precision. But AI systems can pose cybersecurity challenges, which can cause operational, financial, health and safety, and reputational damage. The Globe and Mail brought this news to us in their article, “Artificial intelligence and…
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