Posts Tagged ‘Generative AI’
There is Not Just One Intelligence
Artificial intelligence (AI) has evolved into a vast and multifaceted field, offering tools and solutions for everything from automating repetitive tasks to creating entirely new content. Two of the most prominent categories within AI are generative AI and analytical AI. While they share a common foundation, their purposes, functionalities and applications are distinct. The Machine…
Read MoreResearch, Education and AI, Oh My
Artificial intelligence (AI) has brought significant changes to various industries, including academic research. As AI tools become increasingly advanced, they are influencing the workflows of research journals, particularly in areas such as peer review, authorship verification and content originality. This important topic was brought to our attention by The Scholarly Kitchen in their article, “Scary…
Read MoreSemantic Search: Past, Present and the Road Ahead
Search has come a long way since the days of typing awkward keyword combos into a bar and hoping for the best. Thanks to semantic search, we’ve moved from just matching words to actually understanding meaning—and it’s only getting smarter. Semantic search is all about understanding the intent behind your query—not just the literal words…
Read MoreAccess Innovations Inc. Releases Version 3.17 Update For Award-Winning Data Harmony Software Suite
Access Innovations, Inc. has released the Version 3.17 update for its award-winning Data Harmony software suite. The newest version of the software includes knowledge maps that illustrate the linkages between categories and terms in a taxonomy. Access Innovations Founder and Chief Science Officer Marjorie M.K. Hlava said, “We are excited about this new way to…
Read MoreUnderstanding AI Roles in the Tech Landscape
Artificial intelligence (AI) has become a game-changer across industries, streamlining processes, generating content and making complex decisions. But not all AI functions the same way. Two major branches—generative AI and analytical AI—serve distinct yet complementary purposes. The Machine Learning Times brought this topic to our attention in their article, “How Gen AI and Analytical AI…
Read MoreMaintaining Data Integrity During Innovation
In this data-driven world, the governance of data is no longer just a back-office concern; it has become a priority. Generative artificial intelligence (generative AI), with its ability to analyze, create and interpret vast amounts of information, is reshaping the rules of data governance, introducing smarter, faster and more adaptive ways to ensure data quality,…
Read MoreUnderstanding Bias in Generative AI
Generative artificial intelligence (generative AI) has rapidly become a powerful tool, creating everything from text and images to music and code. However, like any technology, it is not without its flaws. One significant issue that users and developers must be aware of is bias. AI systems can reflect and even amplify biases present in their…
Read MoreGrowing Connectivity
Generative artificial intelligence has quickly become one of the most talked about technologies around, sparking innovations in everything from art and entertainment to healthcare and finance. Basically, generative AI involves systems, usually based on deep learning models, that can create content like text, images, music or even complex simulations by learning patterns from tons of…
Read MoreSustainability and GenAI
Sustainability is more than a buzzword—it’s a necessity. As environmental concerns rise and regulations tighten, companies everywhere are looking for ways to lower their carbon footprints while keeping up with technological demands. Generative artificial intelligence (Gen AI) can be a real game-changer in this quest for sustainable IT transformation, helping businesses streamline processes, reduce resource…
Read MoreWhy Data Strategy is Key to Successfully Applying Generative AI
Generative artificial intelligence (GenAI) is changing the way businesses and individuals create content, generate insights and automate processes. However, its success depends on one critical factor: data. Without a well-defined data strategy, even the most advanced AI models can fail to deliver accurate, relevant and useful results. Tech Target brought this topic to us in…
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