According to Gartner, 80% of executives believe organizations can apply AI to any business decision. However, an AI-based decision is only as effective as the training data on which the AI model is built. The most effective, advanced solutions focus on domain-specific AI and ensure training data used in AI models is highly accurate and reliable. […]
Generative AI and Semantic Compliance
Only CPT and its peers know how many statements have been made based on results from generative AI. But there are loads of them. My background as a data modeler over many years makes me shiver a little bit, because what the friendly AI helpers help us produce is subjected to cognitive processes, where we, the readers, process […]
AI Regulation Must Focus on Building Public Trust
Mere months after generative AI captured the world’s attention, leaders like OpenAI’s Sam Altman and Google’s Sundar Pichai testified before Congress with a simple message: Prioritize AI regulation before the technology gets out of hand. The message surprised many – especially coming from the leaders who unveiled the revolutionary tools themselves – but it has become […]
Navigating the Risks of LLM AI Tools for Data Governance
The sudden advent of large language model (LLM) AI tools, such as ChatGPT, Duet AI for Google Cloud, and Microsoft 365 Copilot, is opening new frontiers in AI-generated content and solutions. But the widespread harnessing of these tools will also soon create an epic flood of content based on unstructured data – representing an unprecedented […]
A Brief History of Natural Language Processing
Natural language processing (NLP) helps computers understand and use human languages. In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science,” which eventually led to natural language processing. From 1906 to 1911, Professor Saussure offered three […]
AI and Big Data: How Artificial Intelligence Is Transforming the Business Landscape
For as long as people have been conducting business, they have been using technology to enhance their efforts. In the late 18th century, industrial technology launched a revolutionary era of accelerated business growth. And in the late 20th century, the digital revolution transformed the business world again, leveraging AI and big data to boost efficiency […]
Transforming Data Quality with Machine Learning
Machine learning makes improving Data Quality easier. Data Quality refers to the accuracy of the data: High-quality data is more accurate, while low-quality data is less accurate. Accurate data/information supports good decision-making. Inaccurate data/information results in bad decision-making. So, intelligent decision-making can be supported by supplying accurate information through the use of machine learning. Machine […]
Large Language Models in the Enterprise: It’s Time to Find a Middle Ground
ChatGPT, the conversational chatbot released by OpenAI in November, garnered 100 million users in just two months, making it the fastest-growing consumer app in Internet history. But the technology that underpins ChatGPT is relevant and appealing to businesses as well. As you may already know, GPT stands for generative pre-trained transformer, which is the technology underlying the […]
Data Science vs. Machine Learning vs. AI
In the data economy, data is king. Today, any business – small, medium, or large – thrives on its data assets. The recent trend of offering data-driven insights as a service has opened up a profitable revenue channel for businesses. Cloud computing and hosted analytics have brought data-as-a-service to the desktops of ordinary business users, […]
When to Use AutoML vs. Manual ML: A Full Guide
Automated machine learning (AutoML) is a set of tools and techniques that automate the design, training, and deployment of machine learning models. AutoML has become essential due to the amount of data involved when creating ML models, helping to save a significant amount of time, human resources, and money. Although manual machine learning is not obsolete, automating […]