Creating Consistency

The term knowledge graph was introduced by Google in 2012 referring to its general-purpose knowledge base, though similar approaches have been around since the beginning of modern artificial intelligence (AI). Today, knowledge graphs are used in anything from search engines and chatbots to product recommenders and autonomous systems. This topic came to us from International…

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Understanding the Why and How of AI

During the pandemic, researchers have and continue to use artificial intelligence (AI) to augment data and help identify antiviral compounds and therapeutic research for treating COVID-19. The technology helped generate more data to support algorithms. However, despite the evolution of AI, most organizations continue to struggle with adoption. Is this because they don’t understand it?…

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Powerful Search

At a recent conference, the question was posed “Does the wider adoption of machine learning mean the end of search as we know it?” Northern Light CEO David Seuss believes it does and how search must leverage smart taxonomies going forward. This interesting topic was brought to our attention by Database Trends and Applications in…

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Show The Work

Artificial intelligence (AI) is a term used more and more casually in business, technology and even at home. Its application is used frequently but not always in the same context. For example, airlines and airports are now embracing new technologies and turning to AI to support their customer service. International Airport Review brought this interesting…

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Establishing Meaning

When you hear machine learning, what do you think of? Before we get into what machine learning brings to the table, we should define exactly what we mean when we talk about machine learning. Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate…

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Leveraging Explainable AI for Better Search Results

Some artificial intelligence (AI) researchers are trying to fix the flaws of neural networks. Deep learning models are playing increasingly important roles across a wide range of decision-making scenarios. Unfortunately they have an inability to provide human-understandable motivations for their opaque or complex decision-making processes. This interesting topic came to us from Synced in their…

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Bridging the Information Divide

Data accessibility is the degree to which people in your organization can use data. That is to say that data isn’t just available, but usable — even for people with little to no experience working with data. Industry Week brought this topic to us in their article, “Too Often, the Right Data Isn’t Getting to the…

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Business Intelligence and Semantic Search

The strategic use of business intelligence (BI) can benefit an organization in many ways. From day-to-day decision making to forecasting for the future, BI plays an essential role in how your company operates. As your company grows, you need a BI platform that can scale fluidly and handle the volumes of data created by more employees, processes…

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Powering Search

Semantic search seeks to improve search accuracy by understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace. This is true in a closed system or on the Internet. It is providing context to a search query beyond just keywords. The possibilities and limitations of semantic search grow as more and…

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