Records/Knowledge Management

Conclusion: Agility to respond to change has become essential. Compared with previous years, CIOs are expected to produce results over longer periods of time, now expectations have become much higher. Stakeholders are expecting results as soon as possible. With the trend geared towards an increase in technology dependence, the pressure of delivering results has therefore increased for CIOs and IT leaders.

Part of this new set of expectations is improved efficiency and productivity, which in most cases requires a thorough evaluation of business processes to garner potential inefficiencies. One of the primary tools organisations have at their disposal is the enterprise resource planning (ERP) systems. Eventually, it all boils down to whether or not the migration to S/4 HANA can be justified in terms of value-add-services. Implementation effort and run costs are only a part of the business case, not the whole.

Conclusion:

For enterprises and small to medium businesses (SMBs), Artificial Intelligence (AI) opportunities are widespread and industry-specific. Each industry will grapple with conversations to understand how AI can:

  1. Create competitive advantage.
  2. Complement existing business.
  3. Disrupt, or even destroy the business model that exists today.

What businesses need to plan for is that AI engineering and AI ops are destined to be the essential umbrella to govern AI in the coming decade. Hyper-automation (HA) of business processes will see some business models fail whilst others thrive into the 2030s.