AI-Powered Operations: A Guide to Boosting Productivity, Security, and Sustainability

More and more businesses are taking advantage of the benefits of AI. In fact, according to McKinsey, 65 percent of companies report that their organizations are regularly using generative AI. 

The conversation is no longer about whether businesses should use AI; it’s about how they should use it. To maximize the potential and minimize risks, it’s important to implement AI correctly. Companies need to consider how to incorporate AI seamlessly and do so in a way that improves security and predictability.

The Role of AI in Modern Operations

 Companies can apply AI to many different areas of their organization. When AI is applied to operations, companies can automate tasks, improve efficiency and gain real-time insights — all part of AI-powered operations. 

AI offers enterprises long-term benefits. Many companies can automate IT tasks and improve efficiency. When companies integrate AI into their data, they can find trends they might have missed, gain deeper insights and improve their decision-making with real-time updates. 

With AI processes in place, automated tasks are performed faster and with fewer errors. AI can easily scale to accommodate increasing workloads, enabling companies to scale operations without proportional increases in cost, labor or resource usage. 

Security and compliance are additional benefits of implementing AI into daily operations. AI can detect threats and identify areas where a company’s cybersecurity is weak. For companies that work with sensitive information, AI’s monitoring capabilities can ensure that data is secured and compliant with legal and regulatory requirements. 

For companies with environmental, social and governance (ESG) goals, AI-powered operations can also help your sustainability goals. AI-powered operations are more effective at using electricity and other resources, which can reduce the company’s carbon footprint. AI also automates ESG data collection and reporting, ensuring compliance with sustainability standards, enabling better accountability and measuring value impact.

Increasing Predictability and Reliability With AI-Powered Operations

 One of the distinct advantages of using AI is that it optimizes predictability. When companies use AI-powered operations, they can automate routine tasks, reduce time and resource waste and improve accuracy while reducing errors. The results are not only more efficient, they’re also more predictable. Predictability means you can trust the tools you’re using, confidently use the information those tools provide and make informed decisions for the future.  

For example, IT departments can make their operations more predictable by implementing AIfor predictive maintenance, ensuring that all hardware is fixed and replaced before any major failures occur. AI-powered threat detection can find anomalies and increase security so data is predictably safe. 

Another use case is in capacity planning for more productivity. IT departments can use AI to find patterns in data regarding when usage is the highest. By planning resources around usage, IT departments can ensure smooth operations. Containerized AI models and orchestration tools can also help operations run more efficiently. Admins can also use AI to automate system backups and software patching so they can be more productive and focus on more strategic tasks.

How To Integrate AI Seamlessly

Many organizations are eager to jump on the AI bandwagon, but it’s important to have a plan around implementation. When integrating AI, be sure to pick AI platforms that are easily integrated with your existing systems to avoid disruption. 

That’s easier said than done, though. Implementation of AI can be complicated when you’re deploying AI in mixed environments that include cloud, hybrid and on-premises systems. You’ll need to consider your data sources, how sensitive your data is, and how to have a unified data strategy. Depending on what tasks you’re trying to accomplish, you’ll need to take into account data latency and processing power. Another factor to consider is finding an AI platform that can handle all your security and privacy needs. 

Finding an AI platform that is easy to integrate isn’t just about saving yourself hassle — it’s also about long-term productivity and data security. The integration must be seamless to avoid disruptions and to prevent potential data exposure.

How To Gain the Benefits of Integrating AI While Minimizing the Risks

To stay competitive, companies not only have to start using AI in their operations, but must implement it well. If companies don’t do the proper research beforehand or don’t implement the AI platform correctly, they risk disruption to their processes, losing productivity and compromising data security. 

To learn more about integrating AI into your operations successfully, read our white paper: How to Deliver AI Safely and Securely.