Data management co-investments should increase among commercial organizations
The expected co-investment of data management is high among the managers interviewed in all commercial industries, with 79% of consumer industries and 74% of technological, media and telecommunications organizations providing for an considerable increase or increase in investments. Government organizations and public services interviewed have considerably lower expectations concerning data management expenses, which could reflect their longer budget and contract cycles. It is clear, however, that the managers interviewed consider data management as a basic capacity required to allow the AI generation.
Deloitte Global Research in 2023 on digital investments and regional priorities revealed that data analysis was already the best technological capacity investment among global organizations.4 The plans to increase these investments demonstrate almost universal recognition of the importance of a strong hygiene of data as a prerequisite for successful strategies of AI and Gen, with 70% of Deloitte managers AI generation state The study expecting investments will increase the value of data analysis capacities. Most leaders consider data as a strategic asset, requiring robust management and analysis capacities. As they focus on data management, data accuracy and the quality of the model will probably be superior to the mind.5
Cybersecurity investments should increase
While cybersecurity The capacities see high levels of co-investment of respondents in the six industries, financial services and government institutions seem to be particularly focused on the increase in their cybersecurity expenses to support GEN IA initiatives. Financial service institutions, in particular, are distinguished with 74% of respondents saying that their investments will increase in this area, probably due to the significant nature of financial data. This is an encouraging trend, given that Deloitte Global 2023 Cyber future The study has shown that cybersecurity budgets have dropped the percentage of organizational income among the leaders of banking and capital and insurance markets from 2021 to 2023.6
In addition, respondents to government and public services expect to increase investment in cybersecurity over the next year. Although expenses in other categories can react more slowly to market changes due to longer budgetary cycles and pressure to maintain low costs, persistent pressure concerning confidentiality, security and cybersecurity is an area where respondents of the government and public services have a certain effect of operational leverage.7
Co-investment plans in the cloud are less pronounced but always important for scalability
Sixty-two percent of respondents expect their investment in cloud consumption to increase as well as investments in General AI. Although this may seem a high percentage, it represents the smallest co-investment of intertwined capacities, which suggests that it may not yet be clear for the leaders interviewed how the AI generation will have an impact on their cloud computing consumption. According to our data, energy, industrial resources and respondents were the least likely to increase investments in the cloud. This can hinder ambitions and scalability unless they invest in on -site alternatives.
For example, large language models (LLMS) require data processing, graphic processing, storage and shared services to operate.8 Organizations that have migrated their data to the cloud call this data whenever LLM works, increasing cloud consumption. Systems compatible with cloud will be a source of data feeding in Gen AI systems, and organizations will have to take into account variable consumption costs. In addition, even organizations that choose to host their LLM in a local data center will have to develop their applications and draw on shared services outside the organization via the Cloud, requiring a certain level of increased cloud investment. Data, cloud and cybersecurity data can meet to help activate these Gen AI solutions.
Fewer leaders intend to increase investments in traditional AI
The value of investments in AI to date has been significant. Deloitte Research has shown that the actions of organizations investing in AI work better than competitors.9 For example, financial services institutions in investing in AI have declared that actions refer six percentage points higher than market averages over three years. Likewise, technology, media and telecommunications companies have made 12 higher percentage points.10
Investments in the AI generation could overcome this value. On average, 55% of respondents expect investments in traditional AI and automatic learning to increase alongside investments in general AI, which suggests that those who spend more for both will seek to combine predictive and generative capacities in powerful applications. The increase is the highest among those of the consumer; Life sciences and health care; And the technology, media and communications industries.
Generation more industry
The generative AI contributes to a renaissance in the commercial strategy and the technological exploration which can help to transform organizations, industries and society. However, the data is at the heart of the problem: how the organizations manage and protect them, how applications consume them and how it is distributed on the wider network. Gen Ai Business Solutions will force organizations to invest in their main information technology infrastructure to create the technological battery necessary to feed and set up these solutions, in particular in data management, cybersecurity and cloud consumption. When managers carefully integrate technologies to guide business agility and innovation, they can increase the value of investments in AI. Industry leaders with already mature infrastructure in these fields could have one step ahead to obtain the advantage of the investment industry in General AI.