Digitizer workshop on artificial intelligence and how this effect the business in procurement and supply chain. World trade center Toronto.
“Digital transformations require cultural and behavioral changes such as calculated risk taking, increased collaboration, and customer centricity.” As discussed, digital transformation requires fundamental, organization wide change and a strategy to both mitigate risks in data programs and execute them effectively (whether basic or complex, Dataiku can assist). Similarly to AI transformation, executives embarking on digital transformation journeys must:
Not solely focus on technology — people and processes are crucial (i.e., failure to involve everyone in the enterprise or adequately communicate role impacts can hinder technology adoption).
Align with the company’s short- and long-term business objectives (i.e., establish plans with budget and ROI benchmarks for driving and tracking value from digital transformation projects).
Assess existing technology strategies and infrastructure (i.e., identify gaps and prioritize projects within the digital transformation effort).
Establish proper programs (i.e., with the right operating model that aligns with the organization’s structure).
Organizations face numerous challenges with digital transformation. However, implementing best practices outlined in this blog can facilitate success, showing how digital transformation and Everyday AI complement each other to enhance ROI and efficiency.
RFP response evaluation
CPOs are also adopting an agile strategy when it comes to talent development to avoid a one-size-fits-all approach and develop personalised skill development programs.
Deloitte’s survey also indicated that 70% of CPOs are seeing a rise in disruption over the last 12 months, as such risk evaluation tools are needed to monitor external risk factors and perform advanced analytics for predictive and preventative measures.
However, at the top of the list, CPOs are reporting high inflation pressures as the number one risk putting additional pressures on procurement organisations.
As such Gen AI can help to automate the ‘create’ processes in S2P such as documentation and transactions. It can also help when it comes to compliance, strategy development, textual data analysis, and predictive modelling.
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