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Emerging Technologies in Retail
Technological innovation has always benefited the retail process, both for the customer and retailer. The evolution from manual cash registers to self-service checkout kiosks is just one example. Inventory management software, digital signage and loss prevention technology are a few more. This interesting information came to us from Retail customer Experience in their article, “5…
Read MoreAI in Healthcare
Machine learning has proven itself beneficial in healthcare in numerous ways – predicting disease onset and future hospitalizations, reducing medical errors and managing medications, to name a few. But when bias creeps into the development or use of machine learning models, technologies that intend to improve health outcomes can create barriers for certain patients. This…
Read MoreFighting Fraud with Technology
When you hear about cyberattacks, do you automatically link it to organized crime? Surprisingly, it is very active throughout both the private and public sectors, from banks to federal governments to small businesses. The Crime Report brought this information to us in their article, “A Cyber Weapon to Fight Cyber Fraud: Artificial Intelligence.” According to a…
Read MoreThe Value in Data
Organizations often undergo changes due to mergers and acquisitions, joint ventures and system upgrades. These transitions can create silos containing inconsistent and redundant data. Data conversion is a key step in this process that converts raw data into meaningful information. Tech Target brought this interesting information to us in their article, “Improve data value by…
Read MoreMachine Learning Models and Hearing Loss
Hearing loss is rapidly becoming an area of interest and research. The number of baby boomers dealing with hearing loss continues to increase as they age. This interesting news came to us from Science Daily in their article, “Machine learning improves human speech recognition.” Researchers are studying people’s ability to recognize speech to gain a…
Read MoreMachine 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…
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