Skip to main content

AI in 2024: Trends, Challenges and Opportunities

Andreas Grabner

It's no secret that artificial intelligence (AI) is transforming every aspect of our lives — from healthcare and entertainment to education and business. AI has become central to how organizations drive efficiency, improve productivity, and accelerate innovation.

Conversational generative AI chatbots, such as ChatGPT and Google Bard, can transform the way we work by automating various organizational tasks. Organizations are now recognizing the significant benefits of these technologies when delivering digital services, specifically in development, operations, and security. Generative AI-based solutions allow organizations to automate tasks such as writing software code, creating dashboards, and enabling users to query data through natural language.

Clearly, generative AI will usher in advantages within various industries. However, the technology is still nascent, and according to the recent Dynatrace survey, The state of AI 2024: Challenges to adoption and key strategies for organizational success, there are many challenges and risks that organizations need to overcome to use this technology effectively.


Source: Dynatrace

Organizations Will Accelerate AI Investments

The survey's findings indicate that organizations are already recognizing the vast potential of AI. Nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed up software development.

Additionally, survey respondents said AI is benefiting other areas of their organization, too. Other use cases technology leaders identified include enabling business users to easily customize dashboards (54%) and to build interactive queries for analytics (48%). This means AI will affect not only IT and back-office support functions, but also front-line staff in customer-facing roles.

Deploying AI to Reduce Multicloud Complexity

Organizations are building and running millions of applications in the cloud, creating vast amounts of data and complex environments that are difficult to manage. To solve this, technology leaders are turning to AI — 87% of technology leaders say AI-powered issue prevention and remediation are critical to managing multicloud complexity.

Organizations will increase AI investment over the next 12 months to address this complexity by delivering predictable, trustworthy, and precise answers in real time. For example, 73% of technology leaders are investing in AI to generate insight from observability, security, and business events data.

This will create greater productivity among individual teams. DevOps teams, for example, can now focus on strategic projects and innovation instead of tedious manual work. According to the survey, nearly three-quarters of IT operations, development, and security teams plan to use AI to become more proactive in executing their work.

Technology leaders believe AI will also transform the following core DevOps use cases:

■ threat detection, investigation, and response (82%)

■ automating complex operations tasks (63%)

■ eliminating false alerts and the manual effort of validating code deployments (58%)

Minimizing AI Risk Is a Top Priority for Technology Leaders

While the advantages of AI technology are clear, many technology leaders are concerned that generative AI could be susceptible to unintentional bias, error, and misinformation; according to the report, 98% of respondents cited this as a concern. To address this, DevOps teams need to engineer AI prompts that contain detailed context and precision. In doing so, they can achieve meaningful, AI-generated responses that users can trust and avoid inaccurate or inconsistent statements.

Additionally, there are security and compliance risks. According to the survey, 95% of technology leaders are concerned that using generative AI to create code could result in data leakage, as well as improper or illegal use of intellectual property.

AI models must be managed with sufficient guardrails in place to prevent accidental exposure of sensitive information. This will drive demand for purpose-built AI platforms with built-in security and privacy requirements.

AI Will Benefit Employees Throughout Organizations

According to the report, AI will improve workforce satisfaction throughout organizations. Nontechnical workers can make informed, data-driven decisions with easier access to analytics through natural language queries and virtual assistants.

However, to fully take advantage of the benefits of AI, technology leaders agree that a composite AI approach is needed. This entails pairing generative AI with other forms of AI — such as generative, predictive, and causal AI — and different data sources, such as observability, security, and business events. This approach brings precision, context, and meaning to AI outputs. Ultimately, this context enables teams to use this AI-enabled data for better and more efficient decision making.

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 ...

AI in 2024: Trends, Challenges and Opportunities

Andreas Grabner

It's no secret that artificial intelligence (AI) is transforming every aspect of our lives — from healthcare and entertainment to education and business. AI has become central to how organizations drive efficiency, improve productivity, and accelerate innovation.

Conversational generative AI chatbots, such as ChatGPT and Google Bard, can transform the way we work by automating various organizational tasks. Organizations are now recognizing the significant benefits of these technologies when delivering digital services, specifically in development, operations, and security. Generative AI-based solutions allow organizations to automate tasks such as writing software code, creating dashboards, and enabling users to query data through natural language.

Clearly, generative AI will usher in advantages within various industries. However, the technology is still nascent, and according to the recent Dynatrace survey, The state of AI 2024: Challenges to adoption and key strategies for organizational success, there are many challenges and risks that organizations need to overcome to use this technology effectively.


Source: Dynatrace

Organizations Will Accelerate AI Investments

The survey's findings indicate that organizations are already recognizing the vast potential of AI. Nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed up software development.

Additionally, survey respondents said AI is benefiting other areas of their organization, too. Other use cases technology leaders identified include enabling business users to easily customize dashboards (54%) and to build interactive queries for analytics (48%). This means AI will affect not only IT and back-office support functions, but also front-line staff in customer-facing roles.

Deploying AI to Reduce Multicloud Complexity

Organizations are building and running millions of applications in the cloud, creating vast amounts of data and complex environments that are difficult to manage. To solve this, technology leaders are turning to AI — 87% of technology leaders say AI-powered issue prevention and remediation are critical to managing multicloud complexity.

Organizations will increase AI investment over the next 12 months to address this complexity by delivering predictable, trustworthy, and precise answers in real time. For example, 73% of technology leaders are investing in AI to generate insight from observability, security, and business events data.

This will create greater productivity among individual teams. DevOps teams, for example, can now focus on strategic projects and innovation instead of tedious manual work. According to the survey, nearly three-quarters of IT operations, development, and security teams plan to use AI to become more proactive in executing their work.

Technology leaders believe AI will also transform the following core DevOps use cases:

■ threat detection, investigation, and response (82%)

■ automating complex operations tasks (63%)

■ eliminating false alerts and the manual effort of validating code deployments (58%)

Minimizing AI Risk Is a Top Priority for Technology Leaders

While the advantages of AI technology are clear, many technology leaders are concerned that generative AI could be susceptible to unintentional bias, error, and misinformation; according to the report, 98% of respondents cited this as a concern. To address this, DevOps teams need to engineer AI prompts that contain detailed context and precision. In doing so, they can achieve meaningful, AI-generated responses that users can trust and avoid inaccurate or inconsistent statements.

Additionally, there are security and compliance risks. According to the survey, 95% of technology leaders are concerned that using generative AI to create code could result in data leakage, as well as improper or illegal use of intellectual property.

AI models must be managed with sufficient guardrails in place to prevent accidental exposure of sensitive information. This will drive demand for purpose-built AI platforms with built-in security and privacy requirements.

AI Will Benefit Employees Throughout Organizations

According to the report, AI will improve workforce satisfaction throughout organizations. Nontechnical workers can make informed, data-driven decisions with easier access to analytics through natural language queries and virtual assistants.

However, to fully take advantage of the benefits of AI, technology leaders agree that a composite AI approach is needed. This entails pairing generative AI with other forms of AI — such as generative, predictive, and causal AI — and different data sources, such as observability, security, and business events. This approach brings precision, context, and meaning to AI outputs. Ultimately, this context enables teams to use this AI-enabled data for better and more efficient decision making.

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 ...