GenAI Runs on Trust
Generative artificial intelligence (GenAI), a subset of artificial intelligence (AI), has moved quickly from experimentation to everyday use, reshaping how organizations create, analyze and communicate. At the center of this shift is data. The quality, structure and oversight of that data now directly influence how reliable and responsible AI outputs can be. This makes data…
Read MoreAI and Data Analytics Are Growing Up Together
Artificial intelligence (AI) and data analytics are no longer separate conversations. They are working side by side and changing how organizations make decisions, run operations and know what is really going on beneath the surface. With so much data being created every day, AI has become the tool that helps make sense of it all…
Read MoreSearch Is Not About Keywords Anymore
Search used to be pretty simple. You typed in a few words and the system looked for pages that repeated those words back to you. The more matches, the better the result. It worked well enough for a while, as long as you knew exactly what to type and spelled it correctly. The Scholarly Kitchen…
Read MoreAI Is Still a Bit of a Science Experiment
Artificial intelligence (AI) and machine learning have come a long way, no question. But if we’re being honest, a lot of what’s happening right now still feels like experimentation dressed up as precision. In many cases, people are running a bunch of models, tweaking settings and seeing what sticks. It works, but it is not…
Read MoreAcademic Publishing Is Figuring Out Its AI Era
Academic publishing is in the middle of a pretty big shift as artificial intelligence (AI) starts showing up everywhere. Researchers are using it to find sources, analyze data, clean up writing and even get early drafts started. It can speed things up and make research more accessible, especially for people working across languages or without…
Read MoreA Foundation of Solid Data
Artificial intelligence (AI) has the potential to support government operations by improving efficiency, accuracy and accessibility. Many public sector processes rely on large volumes of data, manual review and repetitive administrative tasks. AI can assist by automating routine functions such as data entry, document classification, translation services and scheduling. These applications may reduce processing times…
Read MoreInnovation and Risk: Friends or Foes?
Artificial intelligence (AI) is changing how organizations operate, make decisions and deliver value. However, most existing governance frameworks were designed for traditional data management and risk control, not for systems that learn and evolve on their own. To manage AI responsibly, organizations must expand their governance models to include ethical oversight, transparency and accountability for…
Read MoreIntegrity in the Shadows
Artificial intelligence (AI) has become a valuable ally for productivity and innovation in the workplace. However, not all AI usage is authorized or properly governed. Shadow AI refers to the use of AI tools and applications without the knowledge, oversight or approval of an organization’s IT or data governance teams. What begins as an employee’s…
Read MoreDigital Strategy in the Clouds
A solid cloud strategy is no longer a shiny add on for organizations that want to sound modern. It is the backbone of digital transformation and the difference between moving quickly and being stuck refreshing outdated systems. Cloud computing offers the scalability and flexibility businesses need to respond to change without constantly rebuilding their infrastructure.…
Read MoreWhere AI Meets the Cloud and Things Get Interesting
Artificial intelligence (AI) and cloud computing used to feel like two separate conversations. Now they are basically inseparable. The cloud gives AI room to stretch out and do its thing, and AI turns the cloud into something a lot smarter than just a place to park data. One of the biggest shifts is how easy…
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