Unlocking Success: The Ultimate Guide to AI Use Cases Within The Enterprise Landscape

This is our list of the top use cases for AI within the enterprise today

“That's why AI is exciting,” “We need new technology to help us with the economic growth that we enjoyed in the early part of the 20th century. What if we can have that type of economic growth this time around, but it's much more even?” - Satya Nadella

In a landscape where organizations globally are harnessing the potential of AI, a multitude of use cases are emerging. From optimizing cloud costs to revolutionizing customer engagement, companies are realizing the transformative power of AI within the enterprise landscape. Deloitte's extensive survey of 2,620 business leaders across 13 countries reveals a nuanced perspective on AI adoption, emphasizing the dynamic ways enterprises are leveraging this technology. You can check out that survey linked here: Fueling the AI Transformation. Through the rest of this article, I will detail the top ways we are seeing AI being used within the enterprise today.

1. Cloud Pricing Optimization: Maximizing Efficiency in the Digital Realm

AI Drives Cloud Cost Optimization: Insights from Flexera's 2023 Report

As businesses migrate to the cloud, AI plays a pivotal role in optimizing costs. Flexera's latest 2023 State of the Cloud Report reveals that a staggering 82% of organizations identify managing cloud spending as a top challenge. Airbnb and Dropbox are two companies showcasing how AI tools effectively manage capacity, predict costs, and identify opportunities for savings, leading to significant financial benefits.

2. Conversational AI Within the Enterprise: Redefining Customer Interactions

The rise of voice assistants and chatbots is reshaping customer service. Estée Lauder's voice-enabled makeup assistant and Pentagon Credit Union's use of chatbots exemplify how AI enhances accessibility, support, and efficiency in customer interactions.

Gartner Predicts Conversational AI Will Reduce Contact Center Agent Labor Costs by $80 Billion in 2026

3. Uptime/Reliability Optimization: Safeguarding Continuous Operations

Maintaining uptime is crucial for web services and e-commerce. AI, as implemented by Netflix, Uber, Facebook, and others, has become indispensable in scanning systems for inefficiencies, ensuring reliability, and proactively identifying threats. These proactive AI-powered solutions can help organizations avoid millions in lost revenue by predicting and preventing outages before their occurrence.

4. Predictive Maintenance: Ensuring Operational Excellence

Giants like GE and Rolls-Royce leverage AI for predictive maintenance, ensuring the safety and efficiency of critical assets. The District of Columbia Water and Sewer Authority's innovative use of AI in monitoring water systems exemplifies the technology's role in preventing disruptions.

" The ultimate goal is to prevent downtime, identify root causes for follow-up action, and enable efficient evidence-based maintenance planning and optimization." - General Electric

5. Customer Service Operations: Meeting Evolving Expectations

AI in customer service operations addresses rising consumer expectations. McKinsey reports that around 67% of millennials expect real-time customer service. Lufthansa Group's response to the COVID-19 disruption where its call centers were overwhelmed with customers trying to navigate canceled and rescheduled flights and Unilever's use of GPT API for filtering emails demonstrate how AI ensures real-time support and consistent cross-channel service experiences.

6. Personalization: Tailoring Experiences for Every User

AI-driven personalization transforms user experiences on platforms like Spotify, Amazon, and YouTube. Nordstrom's use of AI in its Analytical Platform illustrates how data, deep learning, and natural language processing collaborate to deliver highly tailored experiences. When you log into your favorite social media platform or streaming service, the encounter is customized to align with your individual preferences and browsing behaviors, extending to the precise targeting of advertisements. Artificial Intelligence (AI) has played a pivotal role in enabling companies to deliver products and content to specific audiences, guaranteeing that each application or service you engage with is uniquely tailored to your interests.

7. IT Operations Management: Navigating Complex Digital Environments

AIOps tools, embraced by Delta Airlines, prove essential for intelligent alerting, root cause analysis, and incident auto-remediation. The integration of AI allows for a digital simulation environment, ensuring reliability in global operations.

Top 10 AiOps Platforms

• AppDynamics

• BigPanda

• Datadog

• Dynatrace

• GitHub Copilot

• IBM Watson Cloud Pak for AIOps

• LogicMonitor

• Moogsoft

• New Relic One

• Splunk

“We’re applying AIOps to predict where the capacity needs to be so that we can maintain maximum uptime and maximum customer satisfaction.” - John Putnik Chief Innovation Officer at Cincinnati Bell

8. Process Automation: Unleashing Efficiency Through AI

AI proves instrumental in automating processes, freeing up employees for more complex tasks. Examples from Atlantic Health System, Johnson & Johnson, and AT&T showcase the diverse applications of AI in streamlining operations and reducing manual efforts.

Atlantic Health System has implemented process automation to simplify the prior authorization acquisition process, driven by the necessity to ease the heightened workload brought about by the COVID-19 pandemic. The automation of prior authorizations accelerates the time required for treatment, allowing healthcare professionals, including doctors and nurses, to concentrate more on patient care. Additionally, it diminishes the manual efforts associated with obtaining authorization and scheduling appointments.

9. Financial Reporting and Accounting: Enhancing Analysis with AI

Intuit's use of AI for financial planning and PwC's significant investment in expanding AI capabilities underscore the transformative impact of AI in financial reporting and accounting practices. Leveraging its proprietary Generative AI Operating System (GenOS) platform, Intuit can deploy large language models tailored for finance, specifically focusing on tax, accounting, cash flow, and related areas. This not only minimizes repetitive tasks for employees but also enhances efficiency by streamlining processes and mitigating errors in tasks such as data entry, transaction categorization, and invoice processing. The company is committed to investing $1 billion over the next three years to expand and scale its AI capabilities, recognizing the growing acknowledgment of AI's advantages in financial reporting and accounting practices by various organizations.

10. Recruiting/Hiring: Revolutionizing Talent Acquisition

Amazon's AI-driven hiring process and Unilever's innovative video assessment platform highlight how AI streamlines recruitment, reduces manual labor, and enhances the overall hiring experience. At Unilever, Artificial Intelligence (AI) is employed in the preliminary stages of video interviews. Managing a substantial volume of 1.8 million job applications annually, Unilever collaborated with Pymetrics to create an online platform capable of evaluating candidates through video software. During the subsequent interview phase, candidates respond to questions for 30 minutes, and the software assesses their body language, facial expressions, and language choice using natural language processing and body language analysis technology.

“The countries with the highest robot density have among the lowest unemployment rates. Technology and humans combined in the right way will drive prosperity.” - Ulrich Spiesshofer ex-CEO at ABB Ltd.

11. Safety and Quality: Elevating Assurance through AI

Boeing's use of AI to detect anomalies in aircraft sensors and Google's implementation of AI safety features in Nest products exemplify how AI enhances safety and quality assurance processes. Boeing incorporates AI to identify irregularities in aircraft sensors, analyze data gathered from aircraft, and enhance overall flight safety. The integration of AI into products further enhances their safety measures, contributing to the well-being of users.

12. Workforce Schedule Optimization: Smartly Managing Resources

Artificial Intelligence has integrated into numerous processes, facilitating the streamlining of tasks that previously demanded considerable time from managers. Its role in optimizing workforce schedules, as seen in Walmart, Starbucks, Costco, Delta Airlines, and Target, underscores its ability to consider various factors and identify optimal schedules. This is particularly evident in workforce schedule optimization, where AI aids companies in efficiently managing schedules. It takes into account various factors such as employee availability, customer traffic, and employee skill sets and preferences simultaneously, allowing for the identification of the most optimal schedule.

Conclusion

In conclusion, the landscape of enterprise operations is undergoing a profound transformation with the pervasive integration of Artificial Intelligence (AI). From optimizing cloud costs to revolutionizing customer engagement, ensuring uptime, and enhancing safety measures, the diverse use cases outlined in this compilation underscore AI's role as a powerful catalyst for transformative change. As organizations globally harness the potential of AI, the nuanced perspectives revealed in Deloitte's survey and the real-world applications discussed herein highlight the dynamic ways enterprises are leveraging this technology. With AI continuing to evolve and permeate various facets of enterprise operations, it is not merely a trend but a fundamental shift that promises to redefine the way organizations operate, fostering prosperity, efficiency, and innovation in the years to come. The future of work and business is intricately tied to the ongoing advancements in AI, marking a new era of possibilities and reshaping the contours of enterprise success.