In the business landscape today, automation is no longer considered a luxury, it has become a necessity. It plays a crucial role in enhancing business resilience, elevating employee and customer experiences, and securing a competitive edge. A Gartner report found that a staggering 80% of executives believe that automation can be seamlessly integrated into any business decision.
A recent report, AI and Automation: Laying the Foundation for the Autonomous Enterprise, conducted by Digitate in collaboration with Sapio Research, further reinforces the significance of automation. The survey findings shed light on the pervasive integration of AI and automation in today's organizations and underscores the central role of these technologies in shaping future business strategies.
The findings indicate that 90% of IT decision-makers have strategic plans to implement more automation, including AI, within the next 12 months. Impressively, 58% of these organizations aim to roll out automation initiatives within the next six months.
The enthusiasm for automation is evident across sectors, with 26% planning to implement greater autonomous operations over the next five years, split between semi-autonomous (16%) and fully autonomous (10%) systems. That said, keeping humans in the loop will also remain critical, as 30% reported their organization will have an equal proportion of automation and human processing.
It's apparent from the survey findings that IT leaders are acutely aware that survival hinges on embracing AI-powered automation. The research showed most companies realize this and are taking urgent action to increase investment in this area. The shift is palpable as enterprises not only recognize the necessity of AI and automation but are actively leveraging these technologies to enhance business KPIs, elevate employee productivity, and boost customer satisfaction, ultimately propelling themselves toward the coveted status of an autonomous enterprise. The survey delivered several other interesting insights across a diverse range of operational areas, including:
IT Complexity as a Top Internal Challenge
44% of respondents identify growing IT complexity as the most significant internal challenge, attributed to the complexities of cloud migration and adoption. With 92% already having or planning a multi-vendor cloud strategy, the survey reveals a clear correlation — two-thirds of IT leaders plan to implement additional IT automation in the next 12 months to streamline operations amidst this evolving landscape.
Automate or Be Left Behind
The automation wave is sweeping through various organizational departments, with IT (90%), finance (89%), and customer support (89%) leading the charge. As enterprises experiment with different forms of automation, the report highlights that 74% have delved into generative AI, followed by workflow automation (68%) and AIOps (65%). The urgency is evident, as organizations strive to stay competitive and resilient in the face of technological disruption.
AI's Impact on the Workforce
The rapid adoption of automation prompts reflections on the workforce's future. Surprisingly, 26% of IT leaders express concerns about workplace insecurity and job redundancy for employees. Paradoxically, 60% of decision-makers acknowledge that implementing automation has resulted in both improved employee satisfaction and increased productivity. Striking a balance between technological advancement and workforce well-being remains a pivotal challenge for organizations navigating this transformative journey.
Cybersecurity: An Ongoing Concern
Cybersecurity emerges as the foremost external risk, with 54% of IT decision-makers highlighting it over concerns of a recession (36%). Despite this, only 38% have deployed automation to address cybersecurity risks, indicating a gap between recognizing the threat and actively mitigating it. Nevertheless, 49% of respondents plan to implement some form of automation within the next six months, showcasing a growing awareness of the need for proactive cybersecurity measures.
What’s encouraging about the report is that as enterprises pivot towards autonomous operations the interplay of AI and automation emerges as a linchpin for success. Navigating challenges, addressing workforce concerns, and proactively managing cybersecurity risks are integral components of this transformative journey. The report serves as a compass, guiding organizations through the complexities of the digital landscape as they embrace the future powered by AI and automation.
2024 is going to be an interesting year!
Methodology: The report draws insights from a comprehensive survey of 601 US-based IT leaders responsible for technology decisions within large organizations (>1,000 employees), with a strong representation across diverse industries like manufacturing, technology, retail/eCommerce, and financial services.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...