Posts by Melody Smith
How AI Classifies
Classification plays an important role in many applications of artificial intelligence (AI) such as image recognition, speech recognition, and natural language processing. This interesting information came to us from an ABC affiliate out of Australia in their article, “Artificial intelligence technologies could be classified by risk, as government consults on AI regulation.” In AI, classification…
Read MoreWhat’s Not New Is New Again
In a recent conversation with my mother-in-law, she asked how artificial intelligence (AI), all the large language models (LLMs), and ChatGPT were affecting Access Innovations. She wanted to know if the impacts had been adverse and if Access had adapted and embraced the new technologies. I struggled to find the right words. She’s savvy and…
Read MoreGoverning the Data
Automation can play a significant role in improving data governance by enhancing data quality, security, and compliance. CIO brought this interesting topic to us in their article, “How automation enables better data governance.“ Every day people create an estimated 2.5 quintillion bytes of new data. More than 60% of corporate data is unstructured and a…
Read MoreSearch and Ontologies
Ontologies play a crucial role in artificial intelligence (AI) by providing a structured representation of knowledge within a specific domain. An ontology defines a set of concepts, their relationships, and their properties, capturing the essential knowledge about particular subject matter. This interesting topic came to us from Tian Shan in their article, “Understanding Cognitive Search…
Read MoreFighting Fraud with Emerging Tech
Emerging technologies play a significant role in fighting fraud across various industries. These technologies leverage advanced data analysis, automation, machine learning, and artificial intelligence (AI) to detect, prevent, and mitigate fraudulent activities. Digital Transactions brought this interesting topic to us in their article, “How Emerging Technologies Can Help Solve EBT Fraud.“ Machine learning algorithms can…
Read MoreGoverning and Regulating Emerging Tech
The question of whether emerging technology should be regulated is a complex and nuanced one. The answer depends on various factors, including the specific technology in question, its potential benefits and risks, and the broader societal context. This interesting information came to us from Governing in their article, “How Should Government Regulate Emerging Technology?” There…
Read MoreDecision Making with Data
The rise of big data has transformed the way organizations make decisions. With the exponential growth of data, companies are able to collect and analyze vast amounts of information in real-time to gain insights into customer behavior, market trends, and operational efficiency. This has led to a shift from traditional decision-making processes to data-driven decision-making,…
Read MoreUnderstanding 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…
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