AI / ML
Concerns about data exposure through AI systems may be overstated . Brad notes that “ people putting proprietary data into large language models to answer questions or help compose an email pose no greater risk than someone using Google or filling out a support form .”
However , new attack vectors are emerging . “ I predict that we ’ ll start seeing patterns like attackers injecting themselves into different parts of the pipeline so that AI models provide incorrect answers , or even worse , reveal the information and data from which it was trained ,” Brad warns .
Workplace transformation drives skill requirements The integration of AI into workplaces requires new approaches to leadership and skills development . Steve Rafferty says “ AI-native employees , those accustomed to integrating AI into daily life , will push businesses to fully embrace AI tools , reshaping workplace expectations .”
Developer roles face transformation as AI tools become more accessible . Jeff Hollan , Head of Applications and Developer Platform at Snowflake , notes that “ as tools become increasingly powered by AI and easier to use , companies will no longer need highly-specialised talent to complete development projects .”
The shortage of AI-focused developers presents challenges . “ There are simply not enough AI-centric developers to fulfill the increasing
102 January 2025