AWS Report: The Introduction to Obstetrics defeat security in the 2025 global technology budgets

The tools of artificial intelligence have exceeded cybersecurity as a priority of the highest budget for global information technology leaders who are heading to 2025, according to A comprehensive new study It was released today before Amazon web services.

the AWS AI’s adoption indicator,, Which included a poll of 3,739 senior decision -makers in all parts of the nine countries, that 45 % of organizations plan to determine the priorities of spending artificial intelligence on traditional information technology investments such as safety tools (30 %) – a major transformation in corporate technology strategies where companies are racing to take advantage of the conversion capabilities of artificial intelligence.

“I don’t think this is a cause of concern,” said Rahul Pathak, Vice President AI and AI/ML/ML in AWS. “The way I explain is that customer security is still a tremendous priority. What we see with the fact that artificial intelligence is a major element from the perspective of determining budget priorities is that customers see many cases of use of the spontaneous organization. It is really a wide need to accelerate the adoption of artificial intelligence that leads this special result.”

The comprehensive survey, which was conducted throughout the United States, Brazil, Canada, France, Germany, India, Japan, South Korea, and the United Kingdom, shows that the adoption of the Monochorian intelligence has reached a critical turning point, where 90 % of organizations now publish these technologies in some capabilities. Moreover, 44 % has already moved until after the experimental stage in spreading production.

60 % of companies have already appointed major artificial intelligence officers such

With the scale of artificial intelligence initiatives across organizations, new driving structures for complexity management appear. The report found that 60 % of the organizations have already appointed an AI’s executive official, such as the President of Amnesty International (CAIO), with 26 % planning to do this by 2026.

This commitment at the executive level reflects the increasing recognition of the strategic importance of AI, although the study indicates that nearly a quarter of organizations will lack the strategies for transforming official artificial intelligence by 2026, indicating the potential challenges in managing change.

The report confirms: “The studied change management strategy will be very important,” the report confirms. “The ideal strategy must address operating model changes, data management practices, talent pipelines, and scaling strategies.”

Average companies are 45 experiences of artificial intelligence, but only 20 will reach users in 2025: Challenge the production gap

The organizations conducted an average of 45 Excellencies of Amnesty International in 2024, but it is expected that only about 20 to the final users will reach the year 2025, highlighting the ongoing implementation challenges.

“For me to see more than 40 % enter production for a relatively new thing, I actually think it is a rapid and high success rate from the perspective of adoption,” Pathak noted. “However, I think clients use artificial intelligence on a large scale, and I think we want to see it clearly that is still accelerating.”

The report determined the lack of talent as the main barrier in transferring experiments to production, as 55 % of the respondents indicated that there is no working force of skilled intelligence as a greater challenge.

“I would like to say that another large piece has been canceled to successfully enter production is that customers are working back from the goals of the work they are trying to lead, then understand how artificial intelligence will interact with their data.” “It is really when you combine the unique ideas you have about your work and your customers with artificial intelligence that you can drive the result of a mixed work.”

92 % of the organizations will employ artificial intelligence talent

To address the skills gap, organizations track dual strategies for internal training and external employment. The poll found that 56 % of the organizations have already developed training plans for the Truceful IQ, with another 19 % planning to do this by the end of 2025.

“For me, it is clear that it is amazing to customers,” said Pathak with regard to a lack of talent. “How can we make sure that we are preparing our teams and employees and moving them to a place that is able to increase the opportunity.”

Instead of specific technical skills, Pathak emphasized the ability to adapt: ​​”I think it is more about, can you commit to learn how to use artificial intelligence tools so that you can build them in the daily workflow and maintain this fit? I think mental agility will be important to all of us.”

Talent batch extends beyond training to aggressive employment, as 92 % of organizations plan to employ roles that require artificial intelligence experience in 2025. In a quarter of organizations, at least 50 % of new positions require these skills.

Financial services join the Hybrid Amnesty International Revolution: only 25 % of companies that build solutions from the zero point

It seems that a long -term debate about building artificial intelligence solutions or benefiting from current models seems to be in favor of a hybrid approach. Only 25 % of the institutions plan to publish solutions that have been developed at home from scratch, while 58 % intend to build applications dedicated to pre -existing models and 55 % will develop applications on the models that are seized.

This represents a remarkable shift for industries traditionally known as custom development. The report found that 44 % of financial services companies plan to use solutions outside the fund-a departure from their historical preference for property systems.

“Many of the chosen customers still build their own models,” Pathak explained. “However, I think there is a lot of ability and investment that has entered into the basic basic models that there are excellent starting points, and we have worked hard to make sure that customers can be confident that their data is protected.

He added that companies can still take advantage of their monopolistic knowledge while using the current foundation models: “Customers realize that they can obtain the benefits of their own understanding of the world with things like RAG (the generation represented in retrieval), customization, careful customization and typical distillation.”

India leads the adoption of global artificial intelligence by 64 % with South Korea after 54 %, which exceeds Western markets

While the investment of obstetric artificial intelligence is a global trend, the study revealed regional differences in adoption rates. The United States showed 44 % of organizations that define priority for investment in artificial intelligence, which are in line with the global average of 45 %, but India (64 %) and South Korea (54 %) showed much higher rates.

“We see a tremendous adoption all over the world,” Pathak note. “I thought it was interesting that there is a relatively large amount of consistency on the global side. I think we have seen in our respondents that if you were distorting it, I think we have seen India may advance a little, and other parts behind the average a little, then a kind of United States on the Internet.”

65 % of organizations will rely on third -party sellers to accelerate the implementation of artificial intelligence in 2025

While organizations transmit the complex scene of artificial intelligence, they are increasingly dependent on external experience. The report found that 65 % of organizations depend on the third -party sellers in 2025, with 15 % planning for dependence only on sellers and 50 % of the adoption of a mixed approach that combines internal difference and external partners.

“For us, it is a kind of relationship,” said Pathak about AWS’s approach to support all of the previously dedicated solutions: “For us, it is a kind of relationship.” “We want to meet with customers where they are. We have a large partner environmental system that we have invested from the perspective of the model provider, and therefore the anthropor, stability, stability, etc., etc.

The need to behave now or risk leaving the knees

For institutions that are still hesitant to embrace the Impact IQ, Pathak made a blatant warning: “I really think customers should be inclined, or will risk abandoning their peers.

He emphasized the acceleration of innovation in this field: “The rate of change, the rate of improving artificial intelligence technology and the rate of reducing things like the cost of reasoning is great and will remain fast. Things that seem impossible today will look like old news in perhaps three to six months only.”

This feeling of adoption was widely repeated across sectors. “We see such a rapid expansion of adoption,” Bathak noted. “Organized industries, financial services, health care, we see governments, large institutions, and startups. The current crop of almost startups is moved by AI.”

The first approach to the success of artificial intelligence

the AWS report It draws a picture of the rapid development of artificial intelligence intelligence from the advanced experience to the infrastructure of the basic business. Since the institutions have shifted the budget priorities, restructuring the leadership teams, and the race to secure the talents of artificial intelligence, the data indicates that we have reached a decisive turning point in the adoption of the AI.

However, amid technological gold rush, the most successful applications are likely to come from organizations that maintain an unavoidable concentration on business results instead of technological grandmother. Pathak also stressed, “Artificial intelligence is a powerful tool, but you have to start with the goal of your work. What are you trying to accomplish as an institution?”

In the end, companies that flourish will not necessarily have those that have the largest artificial intelligence budgets or the most advanced models, but those that make fun of artificial intelligence more effectively to solve real work problems with their unique data assets. In this new competitive scene, the question is no longer whether artificial intelligence should be adopted, but how quickly organizations can transform artificial intelligence experiences into a tangible commercial advantage before their competitors do it.

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