Expect to hear boards asking executives for more evidence as we move into 2022.

• Leading digital companies will have ML and AI as their core competencies. ML and AI algorithms are a life raft for enterprises that continue to drown in data. They help them analyze and learn from the data, improve decision-making, and inform a variety of next steps.
• Many enterprises are only experimenting with AI/ML, and it is difficult to find the right skills.
• Many organizations don't have teams of data scientists. It is possible to create smaller, more focused teams. These teams include data scientists, developers, as well as other IT operations personnel to deploy, maintain, improve, and continuously improve ML/AI models.
• Some predictions suggest that one-fifth of organizations will increase their investment in AI and ML inside, which is AI and ML embedded within their systems and operations.

Your company will be evaluated through a sustainability lens. Many people are now evaluating the sustainability of companies when purchasing goods and services, or when assessing potential employers. Enterprises are also doing the same with their suppliers and partners, holding them--and themselves--accountable for adopting various sustainable initiatives including reducing carbon emissions.

Businesses will have to develop and implement a comprehensive sustainability plan by 2022. This will require more focused leadership in APAC. According to some reports, 92% of Fortune Global 200 companies in North America have appointed a sustainability leader at the VP, director, or other executive levels. Only 26% have done so in APAC.

Researchers states that sustainability efforts by many APAC companies are driven by investor pressure and compliance, and not strategic planning or risk management. This approach will not materially impact climate change nor fool customers or partners who are more environmentally aware.

Supply chain disruptions will be "never normal".

Supply chain planners are being forced to revaluate their priorities and how to apply the most recent supply chain management (SCM), technologies as the "never normal” becomes the new normal.

For example, while "just in time" inventory was pre-pandemic's best practice, "safety inventory" (or what is now known as "just in case" inventory management) is the new norm.

Even though supply chain technology can't predict the impact of market shocks like a pandemic, it can help companies balance their safety stock.

Companies will need to recognize and respond to shifts in buying behaviour from physical to digital and plan for "ripple effects" within their data centres, plants, and Extended Supply Chains to accommodate them.

These key priorities will help global businesses to increase their economic impact.

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