One obvious industry that has been greatly impacted by artificial intelligence is technology. Information technology, computing, and modern technologies have all been transformed and are continuing to be shaped by advances in artificial intelligence. Technology companies have been on the forefront in the usage of artificial intelligence, as they have found it the solution to many different problems. According to KPMG, 83 percent of technology executives say that artificial intelligence is moderately to fully functional within their companies.
As cutting-edge technologies have quickly advanced, a new era of intelligent and streamlined businesses has been born. The technology industry increasingly relies on AI to address and preempt outages. Machine learning and deep learning has helped to make technology operations more intelligent, time-efficient, and effective. Some of the areas of in which AI has shown to be effective in the technology industry include quality assurance, service management, and process automation.
Usages of Artificial Intelligence in the Technology Industry
Artificial intelligence is used in such a widespread manner in the technology industry. Here, we will focus on a few of its usages. AI has proven to be very effective in operations and infrastructure management, due to its ability to analyze and use large amounts of data, identify abnormalities, and predict issues that are likely to occur before they even happen. This makes troubleshooting much more effective, enhancing performance and reducing downtime.
Security threats can also be found and dealt with much more quickly thanks to AI. Network traffic is constantly being analyzed, abnormal activities are identified, and security measures are implemented much more quickly than before the usage of AI. Cybersecurity systems that are powered by artificial intelligence are continuously learning and adapting to changing and evolving threats, providing technology companies with even better protection.
Artificial intelligence is also being used in the technology industry to maintain quality assurance, finding errors, vulnerabilities, and bugs much more quickly and reducing human manual testing. The ability of AI to do these tasks in an automatic manner improves the reliability of technology and frees up humans to do other tasks, and eliminates the possibility of human error and bias.
AI is used in data analytics to find patterns and make decisions based upon those patterns. Larger amounts of data than ever before are now able to be analyzed, patterns identified, and insights gleaned through the usage of AI. Technology company leaders can then make better decisions, improve their processes and systems, and increase company innovation.
Artificial intelligence is also used to analyze data and find errors and defects more quickly than humans can do. AI can deeply analyze those errors, providing solutions so that they are less likely to occur in the future. Efficiency is also able to be analyzed using data collected from artificial intelligence, allowing quality assurance technicians to make better informed decisions.
Computer engineering is another service of technology companies that has benefited from AI. Artificial intelligence is currently being trained to be able to run and manage a software development cycle on its own. As for now, AI is helping human programmers to deal with problems as they are encountered.
Some service desks in technology companies are currently using AI to track the behavior of users, make suggestions, and provide options in which users can help themselves rather than utilizing the capabilities of a human service desk technician. AI can also use machine learning and deep learning to analyze requests that have been submitted to service desks, discovering which requests are submitted most often, comparing newly submitted requests with previously resolved requests, and, using past experience, finding new solutions to requests.
Many services delivered by technology companies may now be automated through AI. This allows companies to deliver services much more quickly, less expensively, and more effectively than ever before. Process automation through artificial intelligence can streamline operations in technology companies and replace repetitive human tasks with new, automated solutions.
Challenges to the Technology Industry that Artificial Intelligence Poses
Before artificial intelligence can be used in the technology industry, a technology company must have its data collected, organized, and in a format that is digestible by machines. This can present a challenge for companies that do not yet have the resources to do so.
Some technology companies are still afraid to move to cloud-based storage, due to concerns such as privacy. Artificial intelligence and creation of hybrid clouds may help to address some of their concerns.
Technology is evolving at such a rapid pace that artificial intelligence must be able to keep up with that pace. As infrastructures of technology become more complex and sophisticated, technology business leaders are looking for effective solutions, such as AI, to solve complex problems.
Artificial intelligence provides the foundation for solutions to many problems, and may enable technology companies to create AI platforms that are sustainable and reusable. Humans must realize the full potential of AI before it can be broadly adopted and used throughout the entire technology industry.
AI Jobs in the Technology Industry
As of November 2023, the following is just a sample of the many artificial intelligence jobs currently available within the technology industry:
- Senior Developer Technology Engineer, AI, NVIDIA, Santa Clara, CA: $176,000 to $333,500 per year
- Autonomous Systems Machine Learning Engineer, Johns Hopkins Applied Physics Laboratory, Laurel, MD: Salary not specified
- Data Scientist, Edison Welding Institute, Inc., Buffalo, NY: $75,000 to $90,000 per year
- Data Scientist, Digital Innovation and Technology Group, Guidehouse, McLean, VA: $65,600 to $98,400 per year
- Senior Software Engineer, Artificial Intelligence Group, Bloomberg, New York, NY: $160,000 to $240,000 per year
- Researcher, Artificial Intelligence, Human-AI Interaction, Microsoft, Redmond, WA: $112,000 to $218,400 per year
- Account Technology Strategist, Microsoft, New York, NY: $80,900 to $162,200 per year
- Machine Learning AI Graduate Monetization Technology, Monetization GenAI, Tik Tok, Seattle, WA: $112,065 to $164,160 per year
- Artificial Intelligence Developer, Meridian Technologies, Houston, TX: $70 to $80 per hour
- Senior Principal Project Manager, GenAI, Oracle, Seattle, WA: Salary not specified