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How and why companies implement artificial intelligence, what challenges they face in the process and how to do it successfully to improve efficiency and productivity. In this note the answer to all these questions.

June 4 of 2024

While artificial intelligence is not new, it is currently experiencing one of its greatest booms, which is revolutionising all sectors and opening possibilities that previously only existed in the imagination. 
 
However, in a context where more and more organisations have hybrid clouds, the models are huge, and the data continues to grow, adopting AI solutions in the right way or not can make or break projects. 
 
Read on to discover how the power of supercomputing makes it safe for every organisation to take artificial intelligence to the scale they need and stand out in the market. 

Why are businesses adopting artificial intelligence? 

At HPE, during 2023 we set out to interview 900 global IT decision-makers to understand how organisations are using artificial intelligence today, where they are in the adoption process, the challenges they are experiencing, and what they expect to gain from it in the future.  
 
The main objectives for those implementing artificial intelligence projects are: 

  • 40% increased efficiency/productivity 
  • 28% conversion of data into intelligence 
  • 28% offering better customer service 
  • 24% adapting quickly to business changes 
  • 24% faster business results 
  • 24% cost reduction 
  • 22% flexibility between public, private and on-premise cloud 
  • 22% future-proofing innovation to improve people's lives 
  • 21% sustainable solutions 
  • 20% adequate level of security 
  • 18% control and exploitation of data  
  • 18% easy to use and integration 

Overall, 65% of companies use artificial intelligence to support their growth, so it's only a matter of time before it is fully integrated into business strategies. 

State of adoption of artificial intelligence in business

40% are leaders,  
has senior management support and funding for initiatives 		 44% are in proof of concept and preparing to ensure their role  16% are new,  
completely unfamiliar with the technology or still rely heavily on manual operations 

Challenges in implementing artificial intelligence in business 

When using artificial intelligence, companies have faced many problems that make it difficult to achieve successful results, such as:   

  • 31% immaturity of tools 
  • 27% lack of specialised talent 
  • 27% ethical concerns 
  • 25% legal and compliance difficulties 
  • 23% isolated data 
  • 21% little data to work with 
  • 20% misalignment of expectations with what is expected 
  • 18% inadequate training model 
  • 17% cannot guarantee the remit and its funding 
  • 17% inadequate partner for integrated approach 
  • 14% unfavourable proof of concept 
  • 14% insufficient computing power 
  • 12% no suitable use case  

However, 91% of respondents stated that artificial intelligence has met or exceeded their expectations and are satisfied with the performance and potential of this technology. 

How to make an artificial intelligence implementation successful? 

While the adoption of artificial intelligence solutions depends on the size and needs of each company, experts advise considering the following points:  

  • Start with a clear business strategy and the most important and impactful case studies to avoid wasting resources.  
  • Detect what challenges and limitations you might face when working with artificial intelligence. 
  • Before using artificial intelligence, get a thorough understanding of current business needs and challenges.  
  • Make sure you have the qualified talent, resources, and skills needed for the project. 
  • Determine a budget to implement and manage the project over the long term. 
  • Establish the time frame for implementation and integration. 
  • Develops a practical and useful solution. 
  • Experiment extensively with pilot projects. Failure is an option, as long as you learn from it. 
  • Like any other technology, artificial intelligence will never be perfect. 
  • Find your comfort level based on factors from overall technology maturity to risk tolerance.

With HPE, organisations are ready for the future because our solutions get your data ready for AI, make it easy to implement pilot projects, and deliver meaningful metrics, by:  

  • End-to-end AI solutions that address everything from talent gaps to data readiness to hybrid cloud and multi-cloud ecosystems. 
  • Expert guidance to support strategies and develop messages that gain buy-in from all stakeholders. 
  • Proven experience in helping organisations achieve successful AI outcomes. 

Leverage HPE AI solutions and services to streamline operations and deliver rapid value through increased productivity and innovative revenue streams. Once done, scale your AI models more efficiently for greater business impact. 

artificial intelligence  business productivity  artificial intelligence implementation  AI end-to-end solutions 
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