The AI leap from the 4th to the 5th industrial revolution

In the world of AI the analogy of slow and steady wins the race will no longer ring true.

We are seeing a pace of technology evolution and consumer expectation that we have never seen before in our history and we stand on the precipice of the interface between humans and AI changing the way we work forever. 

The old saying of “that's the way we have always done it” is well and truly a thing of the past.

We’ve seen a lot of tech trends over the last 20 years where as an executive or business owner, the ability to sit back, observe, and let others take the risk of being an early adopter before deciding on your approach and adoption strategy has worked well. Ecommerce, Big data, and mobile commerce as examples all had 4 - 5 year lag cycles between the initial buzz and generally adopted strategic use cases. 

Up until recently when the talk centred around AI, what we were really talking about was machine learning and AI still in its infancy, that is, until the release of Large Language Models or LLMs.

LLMs are the game changer. It's what takes up leaping from the 4th to 5th Industrial Revolution in a heartbeat! This is the evolution that will elevate our ways of working and allow us to offload the daily grind workloads to the AI!

AI solutions and offerings are being released into the market at a breakneck pace but here is where as leaders, founders and business owners we need to move fast but also ensure that we take an ecosystem-wide view. What I mean is the new capability unlocked by LLMs is extensive and the offering wide. According to springsapp there will be over 4500 AI startup businesses in the US alone in 2024 in a $250 billion dollar global market.

With all of the new start-ups and solutions flooding the market the danger will be in solution overlap, increased Opex and reduced efficiency with using too many tools that are not delivering the gains needed to draw the benefits from the AI worker evolution.

So, how do you ensure that as a business you don't get left behind by your competitors who have a greater risk appetite and adapt faster? How do you quickly chip away the outer layer of AI point solutions to get to the gold that will push your business to the front of the pack?

1. Be clear on what your business needs. Ensure that the tools you are selecting are fit for purpose.
2. Consolidate. Look for solutions that can consolidate several platforms and operational expenditure (remember the first thought about being fit for purpose).
3. Easily configurable and integrated.
4. Usability - make sure that there is no additional complexity that adds to the burden of training an existing team or onboarding a new team onto the platform.
5. What is the scalability of the platform - how will it accommodate increased data and workflow complexity?
6. Is there any customisation needed to suit your business and how flexible is the platform to any customisation needed?
7. What customer support is in place?

Decisions around AI need to be driven by senior leaders to ensure that the above is considered - move swiftly but smartly!

Learn how Zeligate can support you during this leap.