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Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.
Your strategy should lay out strategic themes around gen AI for the organization and how it’ll support various businessobjectives. Define which strategic themes relate to your business model, processes, products, and services. Which of these themes support the growth agenda, internal efficiencies, and cost savings?
With all this information in hand, you can think about training opportunities such as workshops, seminars, and others. KPIs are measurable values that show how effectively a company is achieving its businessobjectives. KPIs indicate areas businesses are on the right track and where improvements are needed.
Businessmetrics – Providing KPIs, scorecards, and business-relevant benchmarks. million events per second, and analyzing over 10,000 businessmetrics across over 50,000 dimensions. Anomaly detection – Identifying outliers or unusual behavior patterns.
Leveraging data to replace the ‘gut feel’ on which too many business decisions are made enables change practitioners to separate perceptions from reality and decide which processes need the most focus. Do you know how your business really operates on the ground? Picking up the pace: Accelerating the change journey.
Venkat: Very interesting, because I know, that this has come a long way from the outsourcing wave to, you know, which is the cost play to more of knowledge process outsourcing, and then now we’re talking about more tighter integration of the business trying to, you know, drive some very specific businessobjectives.
As AI technologies evolve, organizations can utilize frameworks to measure short-term ROI from AI initiatives against key performance indicators (KPIs) linked to businessobjectives, says Soumendra Mohanty, chief strategy officer at data science and AI solutions provider Tredence. You get what you measure, she says.
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