As at 2020 only 29% of enterprises had adopted any form of Machine Learning.
MLOps (Machine Learning OPerationS) broadly describes the practices and technologies that govern the deployment, monitoring and management of machine learning models. As its name suggests, one component of MLOps is the extension of the core principles of DevOps – automation, agility and collaboration – to the lifecycle of machine learning models.
By 2024, 50% of AI investments will be quantified and linked to specific key performance indicators to measure return on investment
Business and IT leaders acknowledge that AI will change the skills needed to accomplish AI jobs. Fifty-six percent of respondents said that acquiring new skills will be required to do both existing and newly created jobs, according to a Gartner Research Circle survey.
Quantifying the benefits of AI projects poses a major challenge for business and IT leaders. While some benefits could be well-defined values, such as revenue increase or time saved, others, such as customer experience, are difficult to define precisely or to measure accurately.
Unfortunately, many organisations make AI adoption difficult with outdated legacy systems and complex technology stacks. If Someone is operating an organisation in such an environment, it is essential to think about creating the right foundation. Talk to Ranger4 now about our AI & ML events and Think Factory..