Announcement posted by NetApp 11 Dec 2024
SYDNEY, Australia. - December 11, 2024 - NetApp, the intelligent data infrastructure company, today released its second annual Data Complexity Report, which examines how global organisations are navigating the increasing complexity of managing their data for AI. This year's report provides a global view into how AI will impact organisations in 2025 and beyond, offering insights to help businesses leverage AI's potential while navigating the complexities and risks that accompany this transformative technology.
"2025 is shaping up to be a defining year for AI, as organisations transition from experimentation to scaling their AI capabilities," said Gabie Boko, Chief Marketing Officer, NetApp. "This year's Data Complexity Report shows that businesses are making significant investments to drive innovation and efficiency, but these efforts will succeed only if global tech executives can address the mounting challenges of data complexity, security, and sustainability. Intelligent data infrastructure, with unified data storage at its core, will be key to unlocking AI's potential."
"Over the past 12 months, our research has tracked a significant shift in the way business leaders across Australia and New Zealand weigh up the productivity gains of AI against its risks," said Mark Fioretto, Area Vice President & Managing Director of NetApp Australia & New Zealand. "Executives in Australia and New Zealand have reported a drastic and rapid increase (81 per cent) in the adoption of AI workloads - shifting local organisations from being considered AI Laggards to AI Leaders.
"The relatively light tread of Australian & New Zealand organisations at the onset of the AI rush, across government and enterprise, bought more time to regulate the technology and streamline data pipelines to operate it effectively. This may advantage local tech leaders in tackling the new set of challenges brought on by AI in 2025," finished Mark Fioretto, of NetApp Australia & New Zealand.
AI Investment: Will AI Break the Bank?
Two-thirds of companies worldwide report that their data is either fully or mostly optimised for AI, meaning their data is accessible, accurate, and well-documented for AI-use cases. However, despite this progress, 2025 will still demand investment in AI and data management. In fact, 40% of global technology executives believe that unprecedented investment in AI and data management will be required for their companies in 2025. While companies have made strides in optimising data for AI, achieving future breakthroughs will demand even greater commitment and resources.
Data Silos: Will Your Data Impede AI Success?
Data unification is emerging as a critical driver of AI success, with 79% of global tech executives recognising the importance of unifying data to achieve optimal AI outcomes. Companies that have unified storage have been able to remove data silos by connecting data regardless of type or location across hybrid multicloud environments so it is always accessible. Companies that prioritise unifying data are more likely to reach their AI goals in 2025, with only 23% of companies that prioritise unifying data saying they won't reach their goals, versus 30% of companies that don't prioritise unifying data. Investing in data management and infrastructure has become the top priority for organisations, with executives emphasising it twice as much as other AI-related initiatives - a trend set to grow. Looking to the future, organisations that embrace data unification will be better positioned to fully harness the transformative power of AI, ensuring they stay ahead in an increasingly competitive landscape.
Data Security: Will Cyber Threats Scale Along with AI?
Global tech executives are bracing for a significant rise in security threats alongside AI adoption, with 41% predicting a sharp increase in 2025. Data privacy and security concerns have remained top challenges globally year-over-year, with AI-leading countries like India, Japan and the United States (whom are farther ahead in their AI journey) nearly twice as likely to report an increase in the number of security issues compared to AI-lagging countries like Germany, France and Spain.
The rise of AI has increased the attack surface of many organisations, creating new challenges such as protecting AI-models themselves, defending data sets that are more exposed to attacks, and ensuring data is available and secure for use in AI applications. AI-driven security challenges are weighing heavily on the minds of global tech leaders, with 59% identifying these threats as a leading global stressor. This heightened focus reflects the growing complexity of cyber risks. Executives at the board and C-suite levels continue to prioritise cybersecurity and ransomware protection, with 38% ranking it as the top priority. However, there's a silver lining: the strategic measures organisations have implemented appear to be paying off. The focus on cybersecurity as a top priority has decreased by 17% since 2023 — a promising sign that progress is being made in combating these ever-evolving threats.
Data Sustainability: Is AI Putting the Planet at Risk?
As AI adoption accelerates, 34% of global tech executives anticipate major shifts in corporate sustainability processes, and 33% expect new government energy policies and investments. AI-driven data growth and the infrastructure needed to turn data into business value uses a lot of energy, which runs counter to sustainability goals. AI Leading countries see greater sustainability impact than AI lagging countries due to higher AI adoption. Carbon footprint reduction remains an extremely or very important, especially in regions with high AI adoption, though its focus has declined year over year, from 84% of companies in 2023 to 72% in 2024. The challenge moving forward will be managing the environmental costs of AI while maximising its potential for innovation.
This year's Data Complexity Report highlights a pivotal shift: businesses that invest in intelligent data infrastructure, prioritise security, and factor in sustainability are not only future-proofing their operations but also gaining a significant competitive advantage in the AI-driven landscape.
"AI's transformative potential hinges on secure, scalable, and sustainable data strategies," said Krish Vitaldevara, Senior Vice President and General Manager, NetApp. "The organisations leading in advanced analytics and AI are those that have unified and well-catalogued data, robust security and compliance for sensitive information, and a clear understanding of how data evolves. By tackling these challenges, they can drive innovation while ensuring resilience, responsibility, and timely insights in the new AI era."
To learn more, read the full report here.
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Methodology
NetApp partnered with Wakefield Research to conduct a quantitative research study during November 2024, among 1,300+ IT executives in 9 markets: US, EMEA (UK, France, Germany, Spain) and APAC (Australia/New Zealand, Singapore, India and Japan).
About NetApp
NetApp is the intelligent data infrastructure company, combining unified data storage, integrated data services, and CloudOps solutions to turn a world of disruption into opportunity for every customer. NetApp creates silo-free infrastructure, harnessing observability and AI to enable the industry's best data management. As the only enterprise-grade storage service natively embedded in the world's biggest clouds, our data storage delivers seamless flexibility. In addition, our data services create a data advantage through superior cyber resilience, governance, and application agility. Our CloudOps solutions provide continuous optimisation of performance and efficiency through observability and AI. No matter the data type, workload, or environment, with NetApp you can transform your data infrastructure to realize your business possibilities. Learn more at www.netapp.com or follow us on X, LinkedIn, Facebook, and Instagram.
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