A major point we have been made aware of from hiring managers and C-suite executives is the fact that they are beginning to start pushing forward with stalled projects.
After the first lockdown, the majority of companies delayed their upcoming Data & AI programmes until 2021 in order to save the extra effort and extra anguish of trying to set these during a time of extreme uncertainty and instability. They did this in the hopes that the government would guide us out of this period but it is becoming ever more apparent that no one knows when this chaos will end with schools opening and closing again, areas of the country falling into ever stricter tiers of lockdown and a feeling that without full vaccination, this will grind on until at least next year.
Regarding technology, there is a real acceptance that companies can’t stall any longer and need to get on with it. There is a general optimism around AI & Data projects and starting back up with a renewed focus on the goal in hand.
A recent news story highlighted that stalled offshore oil projects could take as long as 3 years to restart. Obviously, data projects shouldn’t take as long as that but they must be prioritised so that they start up sooner rather than later. Here we can highlight the issue of finding leading talent as an integral element for future plans moving forward and quickly building strong teams with complimenting skillsets.
The pandemic caused plans to be shelved and resources were poured into setting up remote working, trying to keep consumers happy by not interrupting the flow of products and services and focusing on marketing to let the customers know that things were ‘business as usual’.
Even before Covid-19 struck, there were a lot of stalled AI and Data projects. This was due to many factors but two of the major ones were a lack of understanding within the organisation of what these projects were meant to achieve and hiring policies which were woefully inadequate.
Prioritisation of which projects to start, restart, end or automate is extremely important. You cannot run before you walk. There will be an impetus to rush back into these but they actually require a measured response.
When moving their workers to online platforms, a lot of companies discovered flaws in their methodology and began fixing problems. This has set the stage for AI & Data projects to start from a level playing field whereas before they may have been at a disadvantage, not only due to data being misunderstood, but also from systems that were in dire need of updating.
More businesses have actually prioritised automation and data science due to Covid disruption, moving away from opinions to a more data driven strategy. On top of that, cost reduction is also not as much of a priority as it was pre-Covid. These are good times to be candidates experienced in these fields but when it comes down to hiring, companies need to know what they are doing and they need to upskill fast, before all of the best prospects have been snatched up by better-prepared businesses.
PwC predicts that companies will increase spending on cloud-based systems after the pandemic is over. The transformation when the emergency hit was unprecedented and within a few months it was approaching an estimated two-years-worth of growth acceleration. Early investment can actually save money in the long run.
Companies need people who have an overview of the process to step in and lead this revolution. Optimism is growing in the sector and there is no doubt that it can lead to huge successes. If a company has a carefully-selected team with the budget to drive the important projects it is planning, there is no reason why there cannot be something else to celebrate when the Covid crisis is over.
Curious about how Zenshin Talent can help your organisation? Contact us today for a no-strings conversation about your needs and our experience.