You are in the initial phase of AI solutions and platform capabilities



Your organisation might have a vision and strategy defined on how to make impact in your business. Perhaps, some proof of concepts (PoC) of AI have been developed and have shown potential. However, most AI solutions are not automated or managed. Besides that, your organisation struggles to fully adapt AI in their core business processes. Therefore, even if AI has brought impact to specific business problems, it probably had a temporary character instead of creating structural business change.


One or more experiments with modern (often cloud-based) infrastructure may be employed somewhere in your organisation. However, even new data and advanced analytics initiatives typically depend on legacy infrastructure and data mostly resides in silos. A lot of unclarity and disagreement on target infrastructure typically exists when operationalizing new data analytics/AI use cases. Standards are uncommon and non-uniform. Infrastructure for data management probably exists, but scalable operationalization of AI is new or only just starting. Models are (up until now) developed in sandbox-like environments that are suitable for development but lack flexible and scalable production pipelines.