FEATURE : STATE OF THE CIO
Integrating natural language processing ( NLP ) into data analytics software allows a much wider set of business users to prep , analyse and interpret data . Engaging with data in a natural way invites more exploration and applications of data to turbo-boost and accelerate speed to insight . This is an important step to enable everyone to make more insightful and confident decisions with analytics and AI .
CIOs should be advocates for these technology shifts to be accompanied by a culture of continuous learning and innovation within teams across the business . This doesn ’ t require all employees to become data scientists . It entails giving more employees the knowledge and self-service analytics tools to leverage Gen AI for critical insights that have true business impact .
Paired with domain-specific business expertise , soft skills come into play as a great foundation to generate effective outputs from LLMs . CIOs that understand Gen AI can act as a force multiplier for the business ( think of turning a team of two data scientists into a virtual team of six ). This is an opportunity to guide their organisation away from heavy reliance on technical skills and nurture a broader set of AI and analytics skills .
The imperative for businesses to make Gen AI rollout a success is a massive opportunity for CIOs to be a change agent for the entire business . Building a resilient tech stack , cultivating a data-skilled workforce and establishing responsible AI policies and practices are three key pillars for moving Gen AI from pilot mode into scalable use cases that unlock true value . p
ANOTHER ASPECT OF CIOS STEPPING INTO THE WIDER BUSINESS IS SHAPING THE
FUTURE OF WORK AND COLLABORATION .
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