This is an automatic translation of IBM Brasil’s press release
São Paulo — September 28, 2022 – New market research commissioned by IBM (NYSE: IBM) reveals that the global adoption of artificial intelligence (AI) has been steadily increasing around the world, with 41% of Brazilian companies indicating that they have actively implemented the technology. This further underscores that the growth of AI is poised to accelerate as it continues to mature, becoming more accessible and easier to implement.
Other data from the Global AI Adoption Index 2022, conducted by Morning Consult for IBM, revealed that this growth is due to companies recognizing the value of AI as they emerge from the challenges of the COVID-19 pandemic. 19 and invest in their digital transformation. , while facing talent and skills shortages. In Brazil, adoption is driven by advances that make AI more accessible to enterprises (56%), its growing integration into standard business applications (48%) and the need to reduce costs and automate processes keys (39%).
For the first time, the report also asked companies about their plans to integrate AI into their sustainability initiatives and found that this technology is poised to play a significant role in this area. For example, 66% of IT professionals in Brazil indicated that, to accelerate their ESG initiatives, their company is implementing AI or planning to do so.
Notable results from the “Global AI Adoption Index 2022” include:
AI adoption continues to grow
Today, 41% of companies in Brazil say they use AI in their business operations and 34% of companies say they are exploring the use of AI. Currently, 73% of IT professionals in Brazilian companies exploring or implementing AI have accelerated their investment and deployment of this technology in the last 24 months. Additionally, 60% say their company plans to invest in the adoption of AI through its integration into processes and applications.
Defining clear data and AI strategies is essential for horizontal implementation
An important explanation for the gradual adoption of AI is the need to implement a successful data management strategy. According to the study, in Latin America, ensuring information security is considered the most difficult part of an organization’s data management strategy, regardless of its size.
- Latin American IT professionals currently exploring AI are more likely to identify data management challenges for their business, with more than half saying it’s difficult to ensure data security (51%) and governance, compliance and privacy (50%).
- Currently, 43% of Brazilian companies exploring or implementing AI have a holistic strategy. Only 10% have plans focused on limited or specific use cases.
Automation helps fill skills gaps and labor shortages
More than costs, lack of tools, project or data complexity, limited AI skills, experience or knowledge remains the biggest barrier to AI adoption in Latin America. At the same time, AI is also helping organizations address skills shortages, for example by automating the tasks of skilled workers so they can be more productive or by using AI-assisted learning. 41% of IT professionals in Brazil report that their organizations train and retrain their employees to work with new automation and AI tools/software. In addition, 40% say their employees are happy to work there and 26% say their employees are already saving time. Finally, almost one in four companies in Latin America see improvements in reducing labor and skills shortages in their IT departments.
A growing focus on trust, but little concrete action
Establishing credible and accountable AI practices goes hand-in-hand with AI maturity, because the more likely a company has deployed AI, the more likely it is to value the importance of AI. reliability.
- A large portion of IT professionals in companies exploring or deploying AI in Latin America report that all aspects of trust and transparency are important to their business. According to the study, the most important in Brazil are: meeting internal reporting obligations (98%), maintaining brand integrity and customer trust (98%), and the ability to monitor data and AI throughout the lifecycle (98%).
- However, while the vast majority of business leaders indicate that reliable AI is essential, not all organizations in the country/Latin America are taking all the necessary steps to ensure that their AI is responsible and worthy of confidence, such as reducing bias (21%), tracking performance deviations and/or model deviation (49%) and working to ensure the decisions they make can be explained (49% ).
Building more sustainable operations
AI is set to play an increasing role in the sustainability initiatives of organizations around the world, with more than two-thirds of companies using or planning to use AI as part of their sustainability initiatives. As an example, IT professionals in Brazil believe that AI has great potential to help solve ESG/sustainability challenges, such as providing more accurate and verifiable information on environmental performance factors for companies. reporting (43%) and driving more efficient business processes and day-to-day operations, such as improving supply chain, operations and manufacturing (37%).
Popular uses such as automation and adopting safety drives
In Latin America, organizations are applying AI in a wide variety of use cases, with the most advanced adoption in areas such as IT operations, cybersecurity, and business process automation.
- Across the region, IT professionals in enterprises deploying AI report that it is used for security/threat detection (44%) and conversational AI (44%), while those only use AI generally report that it is used for marketing and sales. (30%).
- 30% of enterprises are using AI for IT operations (AIOps) to automate key processes to maintain application performance while making resource allocation more efficient.
“Organizations in Latin America, including Brazil, surveyed in the IBM Global AI Adoption Index 2022, are using AI today to address the various challenges and pressures they face, from business operations and skills shortages sustainability initiatives,” said Marcela Vairo, Director. data and AI at IBM Brazil. “With 83% of Brazilian companies implementing a holistic strategy for using AI in their organizations or developing one, this is just one example of the growing role AI is playing in business and technology. society.”
While investment in AI continues to grow, there are still barriers to its adoption in Brazil, especially for smaller organizations that are far less likely to leverage AI. The survey indicated that the main barriers to the adoption of AI for Brazilian companies are: high prices (29%), complexity or difficulty in integrating and scaling IT projects. AI (20%), data complexity (17%), and limited AI skills, experience or knowledge. (17%). IBM is helping break down these barriers and bring the benefits of this technology to more people and organizations across industries with human-centric AI designed for business needs.
IBM continuously draws on the latest AI innovations from IBM Research to deliver new business-ready capabilities, help them automate technical and manual processes such as IT operations, develop new methods of operation and to guarantee respect for the ethics of AI. Additionally, IBM Consulting brings deep technology, industry and process design expertise to co-create solutions with clients that embed AI into their core business processes and create intelligent workflows at scale. .
Download the full study here.
Methodology
This survey was conducted from March 30 to April 12, 2022 among a sample of 7,502 experienced business decision makers with some knowledge/influence over their company’s technology decisions, including 500 respondents in each of the countries, such as United States, the United Kingdom, France, Germany, Spain, Italy, China, India, Singapore, Australia, Canada, United Arab Emirates and South Korea, and 1,000 respondents in the Latin America region (Argentina, Brazil, Chile, Colombia, Mexico and Peru). The interviews were conducted online and the margin of error for the full sample in each country is +/- 4 percentage points; the margin of error for the Latin America region is +/- 3 percentage points with a 95% confidence level. See full methodological details at the end of the summary.
About IBM Watson
Watson is IBM’s enterprise artificial intelligence technology that helps organizations better predict and shape future outcomes, automate complex processes and optimize employee time. Watson has grown from an IBM Research experimentation project to an open set of products that can work anywhere. With over 40,000 customer interactions, Watson is used by the world’s leading brands across industries to transform the way people work.
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