Machine Learning
Adoption
As at 2020 only 29% of enterprises had adopted any form of Machine Learning.
MLOps
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.
Source 451
Gartner says
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.
Artificial Intelligence
Unfortunately, many organisations make AI adoption difficult with outdated legacy systems and complex technology stacks.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..
ChatGPT
ChatGPT
- Chat GPT can be used to better customer purchasing experiences.
- Chat GPT can use automated tasks to increase sales and build better customer relationships.
- Chat GPT is a great tool for getting customer feedback and improving your products or services.
- Chat GPT can help you save time and energy by automating mundane tasks.
- Chat GPT frees up your team to focus on creating valuable content and expanding your business reach.
- Do more in less time with Chat GPT.