EDITOR ’ S QUESTION
DAVID IRECKI , CTO FOR APJ , BOOMI
GREG STATTON , OFFICE OF THE CTO , DATA & AI , COHESITY
AI has advanced significantly , making the integration of intelligent agents into workflows more achievable as technology progresses .
We see that AI will augment many of today ’ s business processes , which could include advanced chatbots for customer service or AI- driven personalised recommendations in retail . Within an AI-centric world , the evolving role of developers and IT professionals would mean for AI to act as a tool to augment , and not replace human roles , but complement human expertise .
Businesses need to understand that any digital transformation initiative seeking to leverage AI and automation must have a robust API management foundation . APIs , the connective tissue for data and transactions , are vital for communication between most applications and microservices . They ’ re essential for moving data into and out of AI large language models ( LLMs ), AI agents and other AI applications .
Artificial Intelligence ( AI ) has existed for years , but recent advancements and use cases have sparked renewed excitement about its endless possibilities . AI encourages us to evolve , rethink “ that ’ s the way it ’ s been done ” processes and inspire new entrants to the field . We ’ re living in a time where decades of transformation are becoming a reality in weeks , and weeks of transformation are defining decades to come . While we appreciate AI ’ s potential , we must recognize the associated risks . AI relies on data , and it ’ s paramount to use it for growth and innovation without exposing new vulnerabilities or compromising data security .
We ’ re living in a time where decades of transformation are becoming a reality in weeks , and weeks of transformation are defining decades to come .
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