Posts by Melody Smith
Both Sides of Generative AI
There has always been fear surrounding artificial intelligence (AI) and, with the recent advances using natural language processing (NLP) and chatbots, it has increased by quite a bit. There are, however, perpetual advances in science. It’s up to us to find the benefits where we can. Analytics Insight brought this interesting information to our attention…
Read MoreDeep Learning is About Training
Deep learning training is the process whereby a deep neural network is taught using a set of data such that it can make predictions for a modeled event. It can involve trial and error, and it can take many tries until the network is able to accurately draw conclusions based on the training data. Constructing training…
Read MoreTechnology in Marketing
The future of marketing is driven by technology, data, and consumer behavior. There are also strong emphases on delivering personalized, engaging, and socially responsible experiences for customers. What does this mean to day-to-day data management? Business Day brought this interesting information to us in their article, “Technology, data, consumer behaviour driving future of marketing –…
Read MoreMitigating Risks with AI
It is understood that artificial intelligence (AI) models that are built on consumer data must also be built with data privacy in mind. Some users are hesitant of automated systems that collect and use their data, so to remain viable, AI models must incorporate privacy protection into their design. This interesting information came to us…
Read MoreHuman Error in Technology
Artificial intelligence (AI) has been helping us in various applications such as customer service, securities trading, and healthcare. Now researchers have found that AI can be used to predict natural disasters. AI can forecast the occurrence of several different types of natural disaster, using vast volumes of high-quality data, and is therefore now at the…
Read MoreCalming Fear
A lot of fear surrounds artificial intelligence (AI). Some is connected to perceived job security and some is related to technology “doomsday” scenarios. The University of Waterloo researchers have developed a new explainable AI model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization. This interesting information came to…
Read MoreEmerging Technologies and Regulation
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 MoreData is Driving Business Growth
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 MoreWhere Are We With Technology?
Back in January, experts in emerging technologies shared their predictions about the tools that will shape the next 12 months. Artificial intelligence (AI), cybersecurity, and the metaverse topped that list. Now, more than halfway through the year, have these changed? This interesting information came to us from Raconteur in their article, “2023 mid-year trends: the emerging…
Read MoreCritical Technologies
Technology innovation is critical to every kind of business around the world and greatly impacts our society. In fact, we are living in one of the most disruptive periods of tech evolution since the Internet first entered the scene decades ago. This interesting topic came to us from Science in their article, “Leveraging technology to…
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