.1Use CasesJuly 25, 2024 Aashima Driving Transformation Across Industries with Iris.aiIn today's rapidly evolving, data-centric world, innovation is the cornerstone of progress across all industries. From healthcare and agriculture to manufacturing and research, organizations are constantly seeking ways to enhance efficiency, solve complex problems, and uncover new opportunities.
.2TechnologyJune 21, 2024 Aashima The Benefits and Challenges of AI AdoptionAdopting AI technologies brings transformative benefits, including increased efficiency, enhanced decision-making, cost savings, and improved customer experiences. However, challenges like high implementation costs, data quality and privacy concerns, skill shortages, integration complexities, and ethical considerations must be addressed.
.3AcademicsMay 10, 2024 Aashima Navigating the Future: The Role of AI in University LibrariesIn the vast ocean of knowledge, navigating through academic literature has always been a daunting task for researchers and students alike. The exponential growth of publications, ranging from groundbreaking research to recycled ideas, poses a significant challenge in staying abreast of the latest developments.
.4Researcher WorkspaceMarch 22, 2024 Aashima How Content Based Recommendation Engine (CBRE) is Reshaping Research DiscoveryTraditionally, researchers have relied on keyword searches to sift through vast repositories of information. However, as the volume of available literature continues to grow, a new player has emerged—the Content-Based Recommendation Engine (CBRE). In this blog, we’ll explore the benefits and reasoning behind CBRE compared to traditional keyword searches, with a specific focus on the Explore tool.
.5Researcher WorkspaceMarch 7, 2024 Aashima Streamlining Literature Reviews with the Researcher Workspace: A Step-by-Step GuideIn this step-by-step guide, we’ll explore best practices for three common use cases: “searching from millions of documents to find fewer than 10 000 relevant articles”,”searching from less than 10,000 documents to find less than 150 relevant articles”, “searching for unknowns, when you or the field is new.”