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AI-Powered Search Could Yield Staggering Productivity Returns

Nearly all (99%) global IT decision makers, regardless of region or industry, recognize generative AI's (GenAI) transformative potential to influence change within their organizations, according to The Elastic Generative AI Report.

However, early adoption continues to be slowed by chaotic data estates, search challenges, and fears around privacy and security, regulation, and internal skills gaps.

Despite these headwinds, the report found most IT decision makers (88%) are eyeing increased investments in GenAI in 2024 and beyond. This points to optimism that these technologies are poised to drive operational efficiencies and productivity, accelerate decision-making, improve customer engagement, and bolster security postures.

"In a little more than 12 months, the disruptive potential of GenAI has shifted from reverie to reality, capturing the imaginations and budgets of IT and data leaders," said Matt Riley, GVP & GM of Search at Elastic. "While data may fuel this technology, search is the engine that powers its effectiveness. Unsurprisingly, businesses that adopt search-powered GenAI quickest — grounded by business context — will lead and uncover the insights needed to securely innovate, build more efficient businesses, and pioneer new customer experiences."

"Generative AI is still an emerging technology, but it already promises to disrupt how organizations operate and engage with customers and employees," said Jason Bloomberg, Managing Director of analyst firm Intellyx. "In particular, GenAI is transforming the data management, security, and search challenges many businesses continue to face. Thoughtful application of this new technology will help them better anticipate customer needs and differentiate themselves from their competition."

Key Concerns

There's high enthusiasm for GenAI across regions and industries, but key concerns stifle operationalization strategies.

Across verticals, GenAI is poised to deliver tangible benefits for organizations. More than half of respondents (57%) anticipate it will improve resource (i.e., staff time, better costs) and operational efficiency and productivity, improve customer experience (50%), and lead to more accurate decision-making (48%).

However, despite early interest and planned investment, internal and external roadblocks threaten to slow GenAI adoption. Nearly 9 of 10 organizations anticipate budgets for GenAI will increase over the next three years, despite nearly all respondents reporting adoption is being slowed, primarily by fears around the security and privacy of the technologies (40%), regulation issues (37%), and the skills gap to implement the technologies in house (36%)

While a skills gap may continue to slow GenAI adoption, 4 of 10 respondents believe it will eventually help upskill and educate employees

Siloed Data Ecosystems

Siloed data ecosystems continue to expand in size and complexity, complicating security, visibility, and real-time analysi.

Most organizations continue to struggle to get relevant insights from their data, which leads to sluggish decision-making. Unsurprisingly, 3 of 4 (75%) respondents report the ability to view data across their entire environment is a key challenge for their organizations, while 7 of 10 (68%) report critical decisions are stalled by slow analysis of their organization's data.

While search powered GenAI is recognized as a key to unlocking transformative insights, effective search capabilities remain stunted. Nearly all respondents (97%) believe a conversational search experience would make their organizations more productive, and nearly half (44%) believe their organizations could save an average of two days or more per week per employee.

The majority of organizations (94%) face data search challenges driven by a struggle to use search results effectively (45%), the inability to cover multiple sources of information (44%), and the inability to obtain responses quickly enough (42%).

Security and Observability

Despite evolving IT infrastructures and data estates, there's optimism GenAI will illuminate security and observability blindspots.

IT security environments and threat landscapes have never been more complex, but there's confidence GenAI will alleviate many challenges. Nearly all organizations (97%) face IT security challenges, from the ability to detect and respond to threats quickly to maintaining current and relevant security practices, but nearly all respondents anticipate GenAI will bolster security postures, such as improving automated threat detection systems (53%), generating training exercises (50%), and automating responses to common security problems (49%).

Holistic observability remains a significant operational pain point, but GenAI offers hope. Nearly all organizations (95%) report observability challenges, from data silos to more complex applications, but nearly all respondents are confident GenAI would benefit their observability postures, specifically to enhance missing data handling (48%), improve data masking and privacy (43%), and to conduct rigorous and regular data quality assessments with synthetic data (43%).

Methodology: The report was produced in conjunction with independent market research specialist Vanson Bourne, and solicited 3,200 IT decision makers and decision influencers across the US, Europe, and Asia-Pacific from more than a dozen sectors, including telecommunications, public service, retail, and financial services.

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AI-Powered Search Could Yield Staggering Productivity Returns

Nearly all (99%) global IT decision makers, regardless of region or industry, recognize generative AI's (GenAI) transformative potential to influence change within their organizations, according to The Elastic Generative AI Report.

However, early adoption continues to be slowed by chaotic data estates, search challenges, and fears around privacy and security, regulation, and internal skills gaps.

Despite these headwinds, the report found most IT decision makers (88%) are eyeing increased investments in GenAI in 2024 and beyond. This points to optimism that these technologies are poised to drive operational efficiencies and productivity, accelerate decision-making, improve customer engagement, and bolster security postures.

"In a little more than 12 months, the disruptive potential of GenAI has shifted from reverie to reality, capturing the imaginations and budgets of IT and data leaders," said Matt Riley, GVP & GM of Search at Elastic. "While data may fuel this technology, search is the engine that powers its effectiveness. Unsurprisingly, businesses that adopt search-powered GenAI quickest — grounded by business context — will lead and uncover the insights needed to securely innovate, build more efficient businesses, and pioneer new customer experiences."

"Generative AI is still an emerging technology, but it already promises to disrupt how organizations operate and engage with customers and employees," said Jason Bloomberg, Managing Director of analyst firm Intellyx. "In particular, GenAI is transforming the data management, security, and search challenges many businesses continue to face. Thoughtful application of this new technology will help them better anticipate customer needs and differentiate themselves from their competition."

Key Concerns

There's high enthusiasm for GenAI across regions and industries, but key concerns stifle operationalization strategies.

Across verticals, GenAI is poised to deliver tangible benefits for organizations. More than half of respondents (57%) anticipate it will improve resource (i.e., staff time, better costs) and operational efficiency and productivity, improve customer experience (50%), and lead to more accurate decision-making (48%).

However, despite early interest and planned investment, internal and external roadblocks threaten to slow GenAI adoption. Nearly 9 of 10 organizations anticipate budgets for GenAI will increase over the next three years, despite nearly all respondents reporting adoption is being slowed, primarily by fears around the security and privacy of the technologies (40%), regulation issues (37%), and the skills gap to implement the technologies in house (36%)

While a skills gap may continue to slow GenAI adoption, 4 of 10 respondents believe it will eventually help upskill and educate employees

Siloed Data Ecosystems

Siloed data ecosystems continue to expand in size and complexity, complicating security, visibility, and real-time analysi.

Most organizations continue to struggle to get relevant insights from their data, which leads to sluggish decision-making. Unsurprisingly, 3 of 4 (75%) respondents report the ability to view data across their entire environment is a key challenge for their organizations, while 7 of 10 (68%) report critical decisions are stalled by slow analysis of their organization's data.

While search powered GenAI is recognized as a key to unlocking transformative insights, effective search capabilities remain stunted. Nearly all respondents (97%) believe a conversational search experience would make their organizations more productive, and nearly half (44%) believe their organizations could save an average of two days or more per week per employee.

The majority of organizations (94%) face data search challenges driven by a struggle to use search results effectively (45%), the inability to cover multiple sources of information (44%), and the inability to obtain responses quickly enough (42%).

Security and Observability

Despite evolving IT infrastructures and data estates, there's optimism GenAI will illuminate security and observability blindspots.

IT security environments and threat landscapes have never been more complex, but there's confidence GenAI will alleviate many challenges. Nearly all organizations (97%) face IT security challenges, from the ability to detect and respond to threats quickly to maintaining current and relevant security practices, but nearly all respondents anticipate GenAI will bolster security postures, such as improving automated threat detection systems (53%), generating training exercises (50%), and automating responses to common security problems (49%).

Holistic observability remains a significant operational pain point, but GenAI offers hope. Nearly all organizations (95%) report observability challenges, from data silos to more complex applications, but nearly all respondents are confident GenAI would benefit their observability postures, specifically to enhance missing data handling (48%), improve data masking and privacy (43%), and to conduct rigorous and regular data quality assessments with synthetic data (43%).

Methodology: The report was produced in conjunction with independent market research specialist Vanson Bourne, and solicited 3,200 IT decision makers and decision influencers across the US, Europe, and Asia-Pacific from more than a dozen sectors, including telecommunications, public service, retail, and financial services.

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...