For greater efficiency and innovation, IT leaders are exploring AI applications that streamline operations, generate text and images, and even write code.

Corporate operations switch to a backup datacenter after a local power outage darkens the primary systems. Applications batten their hatches after detecting anomalies consistent with brute-force cybersecurity attacks.

As such scenarios unfold, virtual assistants text alerts and summaries about these events and resolutions to their human counterparts.

Until recently, IT leaders have dreamt of such autonomous computing remediation for decades. An emerging segment of artificial intelligence (AI) is making these dreams reality by extending traditional performance monitoring from reactive to proactive states.

Related: 5 Trends Reshaping IT Infrastructure In 2023

AI Applications Fueling Innovation

From digital assistants to self-driving cars, AI is interwoven throughout the fabric of our increasingly connected and distributed computing systems. Connected and distributed are the keywords here, as they help us understand the vast topology of user experiences that are within the realm of the possible.

As a CIO you need to understand how to leverage AI to elevate your business and create competitive advantage—as well as the best environments to run those workloads. You can bet your rivals surely will.

Ninety-four percent of 2,260 global business leaders surveyed by Deloitte in 2022 agreed that AI was critical to their success over the next 5 years. And 79% of those leaders reported full-scale deployment for three or more types of AI applications—up from 62% last year.

With 2023 nigh, it’s time to explore potentially fruitful AI technologies as part of your technology strategy—if you haven’t already.

AIOps emerges as IT’s trusted advisor. The automated infrastructure problem-solving scenarios outlined in the introduction are increasingly possible through AIOps, a growing segment of AI.

In AIOps, organizations comb through and contextualize large amounts of data to improve insights across the software lifecycle, IT service management and other aspects of IT operations—including when your physical computer systems are disrupted. AIOps elevates cybersecurity efforts by automating event correlation, anomaly detection and causality determination to protect information assets.

As with any enterprise technology, AIOps will only generate value if it’s sagely applied. Understand areas of your IT estate where AIOps can provide the most resiliency and value and deploy the right technologies.

This content, brought to you by AI. Another emerging field of AI that warrants your attention is a red-hot practice known as generative AI. The technology can help create machine learning models, reconcile customer service issues in real time using natural conversation, improve product search for ecommerce, and even help your team identify legacy code to remediate.

Offloading such tasks to machines can help save your IT department and your business peers precious time and talent resources.

However, be sure to exercise care as you explore such technologies, which can also generate nonsense or offensive outputs. Accord them with the same governance you would usually apply to AI applications.

Have bot, will code. AIs that code—fittingly called TuringBots—are emerging that that can help your development teams plan, design, build, test and run application code.

In fact, Forrester Research predicts that TuringBots will write as much as 10% of worldwide code and tests as they become increasingly embedded in software development lifecycles in 2023.

Such activities will free your rock-star programmers to focus on more value-added tasks. Take time to learn how to make this work for your IT department—and your business.

Get Your IT House in Order

Make no mistake—articulating and executing on AI strategies require tough calls and hard decisions with long-lasting ramifications.

Getting your IT estate in line will be critical, particularly if your environment is like most of your peers: Spread across corporate datacenters, colos, public clouds and edge deployments.

Requirements for AI applications vary but most need hefty compute and data resources. Your IT estate will benefit from a solution that affords you a consistent cloud experience no matter where you choose to run your AI workloads.

For instance, you may elect to run applications with sensitive customer data in your datacenters to comply with data locality regulations. You may also desire to host apps running proprietary algorithms in local resources for performance or cybersecurity reasons.

With more streamlined operations and greater agility you can embrace AI more readily. This is what Dell offers with its APEX portfolio: Agility, simplicity and control so you can innovate with AI and beyond.

Keep Reading: Bringing AI Use Cases to Life With as-a-Service


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