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      "text": "What’s changed in how we evolve to and orchestrate around new systems? The biggest change is Large Language Models (LLMs) and generative AI, and their impact on almost every aspect of technology and business. Take coding, where generative AI is enhancing coding accessibility at the unit level, boosting developer productivity by nearly 30% in the first year.",
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      "text": "To benefit from these advances, organizations must move from traditional instruction-driven, predefined technology stacks to intention-based systems powered by AI and generative AI. Such systems have a cognitive architecture which mimics human-like thinking and learning; always on, always listening and learning from everything that happens within and around the organization.",
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      "text": "them without needing explicit instructions from programmers. Their architecture is built to ensure they continuously learn and improve over time, similar to how an architect refines blueprints to perfect a design. For companies, this is a significant effort considering their ongoing operations and digital transformation.",
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      "text": "Almost everything that we are doing right now...[including] our blueprints...we are asking...what would be the impact of [large language models (LLM)] in this space? How can we leverage LLM in its current infancy...to solve this problem faster, cheaper, [and] better? We don't have the answers, but almost every single technology initiative that we have, we are bringing in LLM and generative AI.",
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      "text": "Almost everything that we are doing right now…[including] our blueprints…we are asking…what would be the impact of [large language models (LLM)] in this space? How can we leverage LLM in its current infancy…to solve this problem faster, cheaper, [and] better? We don't have the answers, but almost every single technology initiative that we have, we are bringing in LLM and generative AI. — Chief Technology Officer at a global consumer product company",
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