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3 Factors Shaping the AI-Driven Enterprise of the Future

Melissa Burroughs
Alteryx

What will the enterprise of the future look like?

If we asked this question three years ago, I doubt most of us would have pictured today as we know it: a future where generative AI has become deeply integrated into business and even our daily lives.

Yet, according to a study by Alteryx, a whopping 82% of the 2,800 IT and business decision makers we surveyed across the globe said that AI is already impacting what their organizations can achieve. While AI has been around for decades, and many have rightfully predicted its potentially lasting impact, this sudden, widespread adoption caught even the best of us off guard.

So, what can business leaders do to help their enterprise prepare for the unknown?

The study, titled Defining the Enterprise of the Future, uncovers market factors significantly impacting organizations, responsible AI adoption, and how the IT workforce should upskill in the future.

1. Dynamic Market Conditions

If the generative AI curveball wasn't enough, now couple this with business challenges we haven't seen in years — high inflation and rising interest rates — as well as ever-increasing data breaches and international conflicts. Businesses of all sizes must now make even more complex decisions to survive today's volatility. Thankfully, this is where AI can help, with 52% stating they will invest in advanced technologies such as AI to respond to the changing market environment.

Embracing the power of accessible AI technology will help enterprises reinfuse transformations to navigate ever-changing economic and tech disruptions. Quickly adopting new technologies like AI may confer first-mover advantages that help capture added revenue, improve customer satisfaction, enhance employee experience, and increase value gained from existing systems and data.

No doubt, boards and senior leaders across industries feel this allure strongly. But before jumping right in to deploying AI across the business, it's important to consider how to do so responsibly.

2. Responsible AI Adoption

While many agree that AI can no longer be ignored, there are still several concerns with the technology, which respondents listed as: data privacy (50%), transparency (41%), data governance (41%), and accountability (36%). IT's strategic management of risks such as these is critical to ensure business resilience in general, and it becomes especially important when rapidly adopting new technologies.

Not adopting AI responsibly could lead to significant damage to your company's reputation, which is why 80% say that AI security, ethics, and governance are key to the success of their organization as they prepare for the future. Ensure you have principles and frameworks in place that help guide how you deploy the technology and integrate it into your portfolio. Leading enterprises and NGOs worldwide have begun publishing their AI operating principles, which often include such aspects as fairness, safety, explainability, social benefit, and human oversight.

3. Upskilling for the Future

Technology alone isn't enough to succeed in the future, and enterprises are looking to hire talent with the right skills for the rise in AI. But the skills needed today will likely not be the same ones needed in three years. In fact, 45% say that while their IT department currently has a need for AI talent, this figure falls to 40% three years from now.

So, what should practitioners look out for to ensure they have the right skills in place?

For starters, they should experiment with new and multiple disciplines, as 72% of business leaders say it is more important for their employees to be multi-skilled than to specialize in one area. Specializing in one area will not be enough in the future — especially for those with the top five skills that many predict will become obsolete: network engineering (29%), repetitive coding (24%), database administration (23%), systems administration (21%), and application support (20%).

While AI is changing everything, it also renews focus on the human side of business. We must determine how to leverage new technologies such as AI to make the best decisions for our organizations, ensure the right policies are in place to support positive outcomes, and upskill talent to contribute meaningfully in a tech-driven world.

Melissa Burroughs is Director of Product Marketing at Alteryx

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3 Factors Shaping the AI-Driven Enterprise of the Future

Melissa Burroughs
Alteryx

What will the enterprise of the future look like?

If we asked this question three years ago, I doubt most of us would have pictured today as we know it: a future where generative AI has become deeply integrated into business and even our daily lives.

Yet, according to a study by Alteryx, a whopping 82% of the 2,800 IT and business decision makers we surveyed across the globe said that AI is already impacting what their organizations can achieve. While AI has been around for decades, and many have rightfully predicted its potentially lasting impact, this sudden, widespread adoption caught even the best of us off guard.

So, what can business leaders do to help their enterprise prepare for the unknown?

The study, titled Defining the Enterprise of the Future, uncovers market factors significantly impacting organizations, responsible AI adoption, and how the IT workforce should upskill in the future.

1. Dynamic Market Conditions

If the generative AI curveball wasn't enough, now couple this with business challenges we haven't seen in years — high inflation and rising interest rates — as well as ever-increasing data breaches and international conflicts. Businesses of all sizes must now make even more complex decisions to survive today's volatility. Thankfully, this is where AI can help, with 52% stating they will invest in advanced technologies such as AI to respond to the changing market environment.

Embracing the power of accessible AI technology will help enterprises reinfuse transformations to navigate ever-changing economic and tech disruptions. Quickly adopting new technologies like AI may confer first-mover advantages that help capture added revenue, improve customer satisfaction, enhance employee experience, and increase value gained from existing systems and data.

No doubt, boards and senior leaders across industries feel this allure strongly. But before jumping right in to deploying AI across the business, it's important to consider how to do so responsibly.

2. Responsible AI Adoption

While many agree that AI can no longer be ignored, there are still several concerns with the technology, which respondents listed as: data privacy (50%), transparency (41%), data governance (41%), and accountability (36%). IT's strategic management of risks such as these is critical to ensure business resilience in general, and it becomes especially important when rapidly adopting new technologies.

Not adopting AI responsibly could lead to significant damage to your company's reputation, which is why 80% say that AI security, ethics, and governance are key to the success of their organization as they prepare for the future. Ensure you have principles and frameworks in place that help guide how you deploy the technology and integrate it into your portfolio. Leading enterprises and NGOs worldwide have begun publishing their AI operating principles, which often include such aspects as fairness, safety, explainability, social benefit, and human oversight.

3. Upskilling for the Future

Technology alone isn't enough to succeed in the future, and enterprises are looking to hire talent with the right skills for the rise in AI. But the skills needed today will likely not be the same ones needed in three years. In fact, 45% say that while their IT department currently has a need for AI talent, this figure falls to 40% three years from now.

So, what should practitioners look out for to ensure they have the right skills in place?

For starters, they should experiment with new and multiple disciplines, as 72% of business leaders say it is more important for their employees to be multi-skilled than to specialize in one area. Specializing in one area will not be enough in the future — especially for those with the top five skills that many predict will become obsolete: network engineering (29%), repetitive coding (24%), database administration (23%), systems administration (21%), and application support (20%).

While AI is changing everything, it also renews focus on the human side of business. We must determine how to leverage new technologies such as AI to make the best decisions for our organizations, ensure the right policies are in place to support positive outcomes, and upskill talent to contribute meaningfully in a tech-driven world.

Melissa Burroughs is Director of Product Marketing at Alteryx

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 ...

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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 ...

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