In 2024, data and knowledge management trends will include:
As the deafening noise around GenAI reaches a crescendo, organizations will be forced to temper the hype and foster a realistic and responsible approach to this disruptive technology. Whether it’s kuwait whatsapp number data an AI crisis around the shortage of GPUs, climate effects of training large language models (LLMs), or concerns around privacy, ethics, bias, and/or governance, these challenges will worsen before they get better leading many to wonder if it’s worth applying GenAI in the first place.
While corporate pressures may prompt organizations to “do something with AI,” being data-driven must come first and remain top priority. After all, ensuring foundational data is organized, shareable, and interconnected is just as critical as asking whether GenAI models are trusted, reliable, deterministic, explainable, ethical, and free from bias.
Before deploying GenAI solutions to production, organizations must be sure to protect their intellectual property and plan for potential liability issues. This is because while GenAI can replace people in some cases, there is no professional liability insurance for LLMs. This means that business processes that involve GenAI will still require extensive “humans-in-the-loop” involvement which can offset any efficiency gains.