We have seen an increasing trend of companies wanting to explore the use of AI and Machine Learning but being unable to commit the level of funding and resources to build up a dedicated data science team and related infrastructure, tools and experience to invest in developing an AI capability. We see this resistance partly due to the uncertainty around the business value of use-cases they wish to explore.
Maybe you are looking to increase your innovation activities and have a few AI related projects you want to start but your team are focused on other projects? Maybe your development team want to explore some ML use-cases but don’t have the time and capacity to do so.
We can help – to explore some targeted use-cases allowing you to see the realised benefit from these first ML implementations before allocated more resources to this technology.
Leveraging a Data Science ‘as a Service’ allows the benefits of Machine Learning to be explored and the business value to be determined at the fraction of the cost of building out a full-time internal Data Science Team.
We are launching our “Wise Owl” service later this year, and looking to find a few additional clients that would be interested to sign up to this service. Our flexible service allows you to gradually build up the focus on ML use-cases as the initial benefits become realised. Once you are ready to commit resources to your own initial Data Science team, we can assist with the transition including skills training, to ensure a smooth handover.
If you need additional support, including AI/ML Roadmap, Use-case prioritisation, and AI Innovation & Strategy Creation, we can add these additional services into the mix too.