According to one survey conducted by Qlik among 4,200 high-level managers and decision-makers in companies, related to decision making in the field of AIthe main obstacles they face and that are slowing down both progress and investment in AI worldwide and its successful implementation are the lack of qualifications in the field of Artificial Intelligence, governance problems and the shortage of resources. These barriers result in many projects getting stuck in the planning phases.
On the other hand, companies that operate globally are choosing “ready-to-use” AI solutions as the preferred option to begin implementing AI in their companies and thus see the return on investment.
This in a framework in which 88% of decision-makers or high-level managers believe that Artificial Intelligence is absolutely essential, or very important, to achieve successful results. Among them, to achieve strategic objectives or increase profits.
Despite this, few projects move from the planning phase to the implementation or completion phase. Many are discarded. 20% of companies have 50 to more than 100 AI projects in the definition or planning phases, so they are not real projects yet. Another 20% have also had up to 50 projects in the planning phase or more advanced, but have stopped or canceled them.
For companies to be able to make their investment in AI profitable and also provide better service to their customers than the competition, it will be essential that more projects with this technology can move from the planning phase to the implementation phase. But since respondents find it difficult to achieve this, 74% of survey participants see more value in “ready-to-use” AI solutions to improve their implementation.
Among the factors that slow down or completely block these AI projects are the lack of qualifications for their development (23%), as well as to launch it once it is already developed (22%). 23% also allege data governance problems, and 21% with budget limitations. Also the lack of reliable data with which AI can work (21%).
On the other hand, 95% of those surveyed say they know what types of AI could be used in their company, but the confidence of other areas and divisions of the company seems to be slowing progress in different sectors. 37% of those responsible for making decisions related to AI say that senior managers do not trust this technology. 42% believe that lower-ranking employees do not trust her.
21% also believe that their clients do not trust Artificial Intelligence, and 61% highlight that this lack of trust is significantly reducing investment in AI in their company. To help increase trust, and therefore investment, an improvement in the exchange of internal knowledge between the company and its clients may be appropriate, since 74% want to make the advantages of AI more known within your organization, as well as among your customers.
Training workers in the development and use of AI can also build trust, ensuring that projects move from planning to other phases and are successfully implemented. 65% of survey participants believe their country has the potential to lead in AI skills in the next five years. To achieve this, 76% believe their industries must improve training and retraining of AI skills. Another 75% think their government should offer more funding and training on Artificial Intelligence.
James Fisher, Chief Strategy Officer at Qlikhas highlighted that «it is Study shows that CEOs know the value of AI, but face a multitude of barriers that prevent them from moving from proof of concept to deploying the technology to create value. The first step in creating an AI strategy is to identify a clear use case, with defined objectives and KPIs. This way, resources can be identified, both talent and infrastructure, and the data necessary to develop it according to business needs. In this way, trust begins to be generated and management commits to moving forward and gaining competitiveness.«.
