Return of the Reviewer
Artificial intelligence (AI) is increasingly being tested as a tool for peer review, and its role brings both promise and concern. On the positive side, AI can process large volumes of manuscripts quickly and with consistency. It is capable of scanning for plagiarism, flagging potential ethical issues and checking adherence to journal guidelines. Its ability…
Read MoreHarnessing Big Data in Life Sciences
Life sciences organizations are generating more data than ever before, ranging from clinical trial results and genomic sequencing to information from electronic health records and wearable devices. Managing these vast and diverse sources of information is a challenge, but when used effectively, data can accelerate innovation across the industry. Wolters & Kluwer brought this topic…
Read MoreAdaptive Research
We’re living through a serious shift in how research is created, shared and evaluated; and artificial intelligence (AI) is at the heart of it. This important topic was brought to our attention by The Scholarly Kitchen in their article, “Scary Times for Research Journals.“ In academic publishing, AI isn’t some distant wave they are preparing…
Read MoreThe Challenges of Peer Review in the Age of Artificial Intelligence
Peer review has long served as the cornerstone of academic publishing, intended to safeguard quality, accuracy and rigor in scholarly work. The arrival of artificial intelligence (AI) has introduced new dynamics that complicate this process. While AI tools provide efficiency and analytical power, they also raise questions about integrity, bias and the future role of…
Read MoreAdapting to the Future of Work: Skills, Training, and Opportunity
The modern workplace is undergoing rapid transformation as technology advances and new generations of workers bring fresh perspectives. The traditional approaches to hiring, training and career development are being challenged by the demands of a changing economy. Organizations are confronted with skills gaps that cannot always be filled by established methods, while employees are navigating…
Read MoreFeeding the AI Machine
Artificial intelligence (AI) is transforming industries by automating processes, uncovering insight and enhancing decision-making. However, the effectiveness and reliability of AI depend heavily on data governance. Tech Target brought this topic to us in their article, “AI data governance is a requirement, not a luxury.” AI systems learn from the data they’re fed. Poor-quality or…
Read MoreImproving Search and Findability Through Taxonomies
Organizations today face a persistent challenge: making information easy to find. Employees, customers and partners often spend valuable time searching for documents, data or resources that exist within a system but remain hidden due to poor organization. This struggle with search and findability can lead to inefficiency, duplicated efforts and frustration. As digital content continues…
Read MoreAI and Human Interaction: Functional vs. Relational
Artificial intelligence (AI) is increasingly visible in everyday life. It can compose poetry, generate emails and even create dating profiles. These abilities give the impression that AI can act as a social partner, but the reality is much more complex. This interesting topic came to us from UCLA in their article, “Do AI systems socially…
Read MoreThe Role of Data in Modern Storytelling
Data and storytelling are often seen as separate domains, one representing facts and figures while the other represents creativity and emotion. In reality, the most effective communication today often brings the two together. When data is presented within a story, it not only informs but also motivates people to take action. This interesting topic came…
Read MoreData Transparency is Key
Artificial intelligence (AI) is shaping our world at an unprecedented rate, influencing everything from healthcare to finance, entertainment and even our daily conversations. However, one of the most critical yet often overlooked aspects of AI is the transparency of the data used to train these systems. Understanding where AI gets its knowledge, how it learns…
Read More