How AI is shaping the future of your organisation?

With the rapid rise of artificial intelligence, the thought imprinted on many minds has often been “what tasks and/or processes can AI improve?” AI is positioned to not only enhance business opportunities but also change the overall business landscape, impacting everyone in the workforce.  

Prepping your organisation and your team for an AI-forward future is crucial. We explore the latest trends and challenges discussed by Forbes Technology Council. 

1. The rise of digital resources  

Organisations will continue adding digital resources, much like traditional human resource areas. AI will change the landscape of how hiring managers recruit and retain people as digital resources will be treated as competitive and significant parts of the employee base. 

2. ‘Person plus AI’ strategy 

The ‘Person plus AI’ strategy focuses on enhancing human capabilities rather than replacing them. Many fear that AI is here to replace human labour however, this approach serves as a force multiplier for human – derived services proving to be more successful than automation. Organisations should look to adopt a growth mindset, focusing on AI to amplify human potential.  

3. Purpose focused AI models 

To make the most out of AI, companies should look to use solutions and partners which orchestrate and match best fit AI models to the specific needs of the business. It is also important to note that seeking out technologies which offer AI agility will give the organisation the ability to pivot to emerging solutions when required. 

4. AI – powered cybersecurity 

According to Cyber Security Breach Survey 2024, cyber security breaches and attacks remain a common threat. 50% of businesses in the UK report having experienced some form of cyber security breach or attack in the last 12 months with this number increasing for medium and large businesses. 

AI operating within the hardware’s environment means we can shift from being reactive to proactive, becoming truly autonomous in our monitoring and response, and even detect zero-day attacks. Onboarding this new approach will alleviate the strain on IT teams and business owners. 

5. Automation of repetitive work 

Automation is a great tool for shifting focus from aggregating data to direct application.  Implementing master data solutions and targeted strategies will allow businesses to build their identity and manage data compliance effectively, all of which are crucial for performance enhancement and digital transformation. AI tools can be used to automate increasing number of repetitive tasks, especially those which involve reading and writing, multiplying organisational output.  

6. Hyper-personalised engagement 

Hyper-personalisation will change the way organisations engage their audience and workforce. From identifying key sentiment drivers and eliminating human biases, to having a more accurate understanding of their audience and data management. 

7. A focus on data quality and management  

Data quality, maturity and security is a trending topic. Data is one of the key components of any successful organisation and as AI tech advances, the demand for robust, comprehensive, clean data will increase. To prepare accordingly, businesses should mature their data management practises, invest in data management solutions and ensure they have the appropriate infrastructure to collect, interpret, and store data efficiently.  

Artificial intelligence is constantly evolving and integrating into our everyday lives. It can be a useful tool to enhance productivity, security and time management across various tasks within the workforce. Companies should have a clear understanding of how AI can be utilised to be an assistive tool to the workforce rather than a source of replacement. Instead of relying too much on AI technology, the most successful companies will be the ones that can use it seamlessly.