Living with Machine Learning

The field of machine learning continues to evolve, and there is no denying its impact on society and various aspects of our lives. When building machine learning models and applications, it has never been more important for practitioners and innovators to consider a broader range of perspectives. This interesting topic came to us from The…

Read More

Training AI

More and more, artificial intelligence (AI) agents trained through machine learning are reaching skill and discernment levels comparable to humans. Mark Tech Post brought this interesting information to our attention in their article, “A New AI Study Reveals Machine-Learning Model Achieves Human-Level Skill in Describing Chemical Smell.“ In the rapidly evolving landscape of technology, the…

Read More

Understanding the Terminology

Artificial intelligence (AI) complicates the landscape of human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points, and draw conclusions. They can reason, observe, and plan. It’s very common to hear the terms “machine learning” and “AI” thrown around interchangeably, but they are often used in the wrong context. They are similar…

Read More

Moving with Search

Search has undergone significant evolution over the years, driven by advances in technology and changes in user behavior. This interesting topic came to our attention from 9to5Google in their article, “Report: Google making Search more ‘visual, snackable, personal, and human’”. Traditional search engines used keyword matching to retrieve relevant results. With advancements in natural language…

Read More

The Crucial Role of Data Quality in the Age of Artificial Intelligence

In the rapidly evolving landscape of artificial intelligence (AI), data quality stands as a cornerstone for success. The power and effectiveness of AI systems rely heavily on the quality of training data. As organizations increasingly harness the potential of AI to drive innovation and make data-driven decisions, the importance of maintaining high-quality data becomes paramount.…

Read More

Revolutionizing Findability in the Information Age

In the ever-expanding digital landscape, where information is abundant and diverse, the challenge of finding relevant and meaningful content has become increasingly complex. Traditional search engines, while effective, often struggle to understand the nuances of human language and context. Enter semantic search, a game-changing technology that goes beyond keyword matching to enhance findability and deliver…

Read More

Virtual Assistants Looking Forward

The future of virtual assistants is expected to be characterized by several key trends and developments. Virtual assistants will continue to advance in their ability to understand and generate natural language. This includes better contextual understanding, recognizing nuances, and handling more complex conversational interactions. Digital Journal brought this topic to our attention in their article,…

Read More

Machine Learning and Madison Avenue

The advertising industry has evolved considerably in the past century. Now diversified and modernized, the mid-century advertising ecosystems are disappearing. What caused this shift? There has been at least one tool that’s been especially vital to this evolution – artificial intelligence (AI). This interesting topic came to us from Ad Age in their article, “How…

Read More

AI, Society and the Environment

Everyone is talking about artificial intelligence (AI), including the new developments, the unearthed fears, and the impact on society. What they haven’t mentioned is the environmental impact of AI. New Scientist brought this interesting information to our attention in their article, “Artificial intelligence training is powered mostly by fossil fuels.“ AI has been cited as…

Read More