So you’ve heard these AI terms and nodded along; let’s fix that
TechCrunch article provides a glossary of common AI terms and phrases to help readers understand the evolving AI landscape.
Read on TechCrunch →Hexaware CEO states clients are moving from AI pilots to roadmaps with clear ROI expectations, emphasizing specialized implementation expertise over AI model companies entering services.
Why it matters
This article highlights a significant shift in the enterprise AI adoption landscape. The move from pilot projects to strategic roadmaps with clear return on investment (ROI) expectations indicates that AI is maturing from a speculative technology to a core business enabler. It also underscores the importance of implementation expertise and established client relationships in the competitive AI services market, suggesting that while AI models are crucial, their successful integration into business processes requires specialized skills and trust.
Companies are now past just trying out AI and are planning how to use it to make money. They believe that big IT companies, not just AI model makers, are needed to actually make AI work for them.
TechCrunch article provides a glossary of common AI terms and phrases to help readers understand the evolving AI landscape.
Read on TechCrunch →Cybersecurity is entering an AI-vs-AI era where attackers and defenders are both deploying autonomous AI systems.
Read on Economic Times Tech →AI is increasingly writing code for tech companies, boosting productivity and allowing developers to focus on higher-level tasks.
Read on Economic Times Tech →