Why It’s Important
The integration of machine learning (ML) and analytics into management practices is expected to bring about more efficient, data-driven decision-making processes and enhanced customer experiences. More managers will use predictive models to anticipate market trends, customer behaviours, and internal process outcomes. IBRS predicts that large tech companies will form more strategic partnerships to leverage each other’s strengths. Instead of investing in separate ML tools and developing custom algorithms, it may be more prudent to leverage existing Software-as-a-Service (SaaS) platforms and emerging AI and ML capabilities as relevant new roles will emerge, which will focus on managing and optimising these integrated systems.
Who’s Impacted
- CIOs
- System administrators
- Development team leads
- Business analysts
What’s Next?
- Look for opportunities to leverage AI (and ML) from existing investments in SaaS platforms. In particular, look for how AI is being used to make recommendations on improving workflow with low-code development platforms. Bespoke AI initiatives will be less utilised in favour of AI being added to already existing SaaS applications.