Posts by Melody Smith
Access Innovations, Inc. to Exhibit at SSP’s 48th Annual Meeting
Access Innovations, Inc. is proud to support the Society for Scholarly Publishing’s (SSP) 48th Annual Meeting, taking place May 27–29, 2026, at the Gaylord Pacific Resort & Convention Center in Chula Vista, California. As one of the premier gatherings for the scholarly communications community, the SSP Annual Meeting brings together publishers, librarians, researchers, technologists and…
Read MoreTrust in the Age of AI: Academic Publishing at a Crossroads
Artificial intelligence (AI) is rapidly reshaping academic publishing, raising both opportunity and concern around one critical issue: trust. For decades, scholarly communication has relied on peer review, editorial oversight and citation networks to ensure credibility. Now, with AI capable of generating convincing research summaries, abstracts and even full papers, the line between verified knowledge and…
Read MoreHow Governance and AI Tame the Unstructured Wild
Unstructured data is everywhere — emails, PDFs, videos, social posts, call transcripts, and meeting notes. Basically, it is in all the places your organization hides the good stuff while pretending spreadsheets run the world. The challenge is not a lack of information. It is the inability to consistently organize, trust and use it. This important…
Read MorePeer Review in the Age of AI: Still Necessary, Increasingly Complicated
Peer Review Week is right around the corner, which feels like excellent timing to talk about the quiet identity crisis happening inside scholarly publishing. This interesting and timely topic came to us from Nature.com in their article, “Peer review in the time of artificial intelligence.” Peer review has always been imperfect. It relies on human…
Read MorePowering the Future: How AI Is Transforming the Energy Sector
Artificial intelligence (AI) is quickly becoming a key player in how the energy industry operates, optimizes and plans for the future. While the idea of AI running the grid might sound a little sci-fi, its real-world applications are already delivering measurable impact across production, distribution and sustainability efforts. TechCrunch brought us this topic in their…
Read MoreGarbage In, Genius Out? Not Without Data Governance
Generative artificial intelligence (GenAI) is having a moment. It writes, summarizes, predicts, designs and occasionally makes you question your own job security before your coffee kicks in. But beneath all the flash and promise is something far less glamorous and far more important: data governance. Because no matter how sophisticated your AI tools are, they…
Read MoreStronger Together
Generative artificial intelligence (GenAI), data centers and cloud computing are often discussed as separate technologies, each with its own role and evolution. In practice, however, they are deeply interconnected and increasingly dependent on one another to deliver real value. This topic was inspired by the podcast episode from W. Media titled, “The Intersection of Gen…
Read MoreAI in Healthcare: Smarter Care Without the Robot Takeover
Artificial intelligence (AI) and data analytics are quietly reshaping healthcare, and no, it does not involve robots stealing stethoscopes. Instead, these tools are helping clinicians do what they already do, just faster and with fewer “wait, did I miss something?” moments. Forbes brought this topic to our attention in their article, “How Advanced Data Analytics…
Read MoreAI Is Only as Smart as Your Data
Artificial intelligence (AI) is having a moment. Every company seems to be investing in tools that promise faster decisions, deeper insights and maybe a little competitive edge. And that is all great, but here is the part people tend to skip over: AI is only as good as the data you feed it. This interesting…
Read MoreWhy Ontologies Matter More Than Ever in the Age of AI
Artificial intelligence (AI) may be the headline act, but ontologies are the quiet infrastructure making sense of the chaos behind the curtain. As organizations rush to adopt AI, many are discovering that powerful models alone are not enough. Without structured, meaningful data, even the most advanced systems struggle to deliver reliable results. This interesting subject…
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