March 7, 2018 | AI, Bots, Digital, manufacturing, Membership Organisations, Oil and gas, robotics, Touchscreen
Big businesses in traditional industries have all pioneered the way and innovated enough to stay on top of their game and maintain their market share. But that’s where the problems can now happen.
It’s not enough to have once innovated. Modern day businesses need to be agile. And they need to be early adopters. Market share can be overrated. Being forward thinking is much more valuable.
Take the manufacturing industry for example. The best manufacturers are easy to work with from a supply chain perspective, through to distribution and services. And there’s only one way to make yourself clear and easy to work with. Tech. So, why are we seeing a reluctance to adopt in certain traditional industries?
Ignoring the need to change
If a business is successful, why change? If processes are in place and operations fool proof, surely there’s no need to iterate the way things are run? This is dangerous territory for established businesses and can easily lead to stagnation.
The viability of using 3-D printing for example in manufacturing has greatly increased the opportunity for small businesses to go global quickly – products can be developed, and prototypes made in small environments. Suddenly, the smaller companies can compete like never before. If bigger businesses don’t take heed they could drop away. If they innovate in the way that GE have in the aviation industry, it could truly take the industry to the next level.
For established companies hindered by red tape, security concerns of adopting tech will always exist.
Cloud systems for example feel too remote for many traditional businesses, with the prevailing attitude being that the closer the information is the safer it is. This is backward thinking.
For those in the manufacturing industry who’ve already adopted cloud systems, they will in fact form the backbone for how the business is run moving forward.
It also opens up the opportunity of creating digital ecosystems whereby they’ll become the guarantor of data, the customer and potentially the industry. It’s here where the transformation on an industry wide scale can happen. The opportunities are there.
A lack of an off the shelf solution
For many manufacturers the understanding of how tech, specifically AI, can improve efficiencies across their businesses is there. For example, machine learning can improve predictive maintenance and even quality control, while deep learning can be applied to existing processes.
The issue is that there isn’t really an off the shelf solution that can be implemented quickly and easily. Everything will need to be bespoke for that business, taking into account operations and human behaviour. Often the tech exists as independent building blocks that need to be coordinated to work for that specific business.
This creates a space for companies to work with cloud-based systems to coordinate the different components. Those that adopt the full suite of tech will be on the front foot.
The job market
This has long been discussed with the emergence of tech around manufacturing, specifically in the realm of robotics and machine learning.
However, a recent report by Barclays highlighted the key benefits of implementing AI and investing in tech. Specifically, that 101,000 jobs would be created in the UK in the next 10 years if manufacturers invested in smart technologies, with the textile and clothing industry benefiting the most followed by pharmaceuticals, wood, paper and printing, and fuel. Introducing tech also enables staff to concentrate on higher skilled work, improving the quality of work people experience.
The manufacturing industry, specifically in the UK, is currently in a strange place. Confidence abounds, with 83% of manufacturers confident in Britain’s ability to compete globally over the next five years, according to the research from Barclays. And that is down to the opportunities provided by tech. However, while certain tech is becoming prevalent, such as robotics, of the businesses involved in the report less than half (43%) are currently investing in AI.
The confidence is there, the tech is there, but the adoption isn’t. The latter needs to change.
At J B Cole, we’re working with several traditional businesses in industries such as manufacturing to ensure the right tech is adopted for the needs of the company. You can learn more about our client approach and results through our case studies, as well as our work in the manufacturing industry at one of our upcoming events, jbcole.co.uk/events/.