Web scraping is used for, among other things, getting the vast volumes of publicly available data needed for training algorithms for machine learning (ML). The relationship between data scraping and ML is, however, symbiotic rather than one-sided. On the other side is ML’s ability to improve the fundamental procedures underlying web data gathering, making it […]
A Tale of Two Technologies: How AI and AR Tech Are Changing Our World
We’re in the midst of the “fourth wave” of artificial intelligence (AI), an era in which AI is able to sense and respond to the world around it, interacting in a productive way with people and many types of hardware and software. Thanks to deep learning advancements, AI applications can outperform humans when executing various […]
Why AI Forces Data Management to Up Its Game
The Information Age has flooded the modern enterprise with data. Demand for enterprise storage capacity will only increase in the years ahead. By the end of this decade, new enterprise storage capacity shipments are forecast to be 15 ZB per year, with the active installed base exceeding 45 ZB. Where Is This Growth Coming From? Business and […]
The Growing Impact of AI on Data Science in 2023
While AI’s ubiquity is becoming increasingly evident through everyday tools like chatbots, smart cameras, and smart content generation, there’s an expansive universe of less recognized but highly potent advancements poised to redefine how data scientists interact with and leverage the burgeoning volume and complexity of datasets. Emerging AI trends such as natural language processing, reinforcement learning, […]
What Is GitOps and How Can It Support Machine Learning Operations?
GitOps is a way of implementing continuous delivery for cloud native applications. It is based on the idea of using Git as a single source of truth for declarative infrastructure and applications. In GitOps, the desired state of the infrastructure and applications is stored in version control, and an automated process is used to ensure […]
AI Chatbots Revolutionize Depression Management and Mental Health Support
In this digital era, the emergence of AI has opened up avenues for a remarkable companion in combatting mental health issues such as depression. Ready yourself as we investigate how AI chatbots are rewriting the rules of mental health care and providing new hope and advanced strategies for managing depression. One of the most advantageous […]
Domain-Specific AI Models Render Conversational AI More Effective
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 […]