Decentralizing Data for a Smarter, More Secure Network

The Internet of Things (IoT) has rapidly expanded, connecting everything from smart thermostats to industrial sensors. But as the number of devices grows, so does the complexity of managing the data they generate. Traditionally, IoT systems rely on centralized platforms to collect, process and store this data. While effective, this model introduces challenges around scalability,…

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Records Retention in the Age of AI: Why Taxonomy Still Reigns Supreme

In a world increasingly shaped by artificial intelligence (AI), records retention has moved from back-office obligation to strategic necessity. AI systems thrive on data, but not just any data—relevant, accurate, well-structured data. Without intentional retention policies, organizations risk feeding their AI outdated, redundant or even harmful information, leading to flawed outputs and questionable decisions. This…

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AI and the Future of Leadership Succession

As artificial intelligence (AI) continues to impact many facets of the business world, it is also reshaping corporate leadership succession. Traditionally, succession planning relied on executive judgment, performance reviews and long-term observation. AI introduces a more data-driven approach, analyzing employee performance, behavioral patterns and leadership potential at scale. This allows organizations to identify high-potential candidates…

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AI and Data Engineering

The rise of artificial intelligence (AI) has fundamentally reshaped data engineering, turning what was once a largely pipeline-focused discipline into a dynamic, intelligence-driven ecosystem. On the upside, it has accelerated everything. Data ingestion is faster with automated schema detection. Data quality tools now flag anomalies in real time. Pipeline orchestration has become smarter, predicting failures…

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When AI Becomes the Researcher: Breakthrough or Boundary?

Artificial intelligence (AI) has long been a powerful assistant to human discovery, helping researchers analyze data, identify patterns and accelerate innovation. But a new frontier is emerging. AI systems can design and conduct their own research. For some, this signals a leap forward in scientific progress. For others, it raises deeply unsettling questions. The University…

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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…

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Trust 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…

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How 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…

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Peer 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…

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