Artificial intelligence is already transforming the IT industry in various areas: cybersecurity, software development, data center management, creating new jobs and professions, disrupting traditional business models.
Let’s look at examples of how different companies use AI to gain a competitive advantage and what are the forecasts for the future of IT. At aishaker you will find many tools with artificial intelligence.
What is artificial intelligence and why is it important for IT?
Artificial intelligence is a branch of computer science that creates systems capable of performing human-like tasks such as language and text recognition, content exploration, and problem solving.
AI uses techniques such as machine learning and deep learning to analyze vast amounts of data and recognize patterns in it. Artificial intelligence is not just a buzzword. He really helps. He really improves. Right here and right now.
AI is important to IT because it can help IT teams cope with the growing complexity and demands of today’s IT environments. Artificial intelligence can help IT professionals innovate and create value for customers and businesses.
According to IDC , by 2021, global spending on artificial intelligence systems will amount to $57.6 billion.
How AI enhances cybersecurity
One area where AI can have a significant impact on IT is cybersecurity.
Cybersecurity is the practice of protecting networks, systems, and data from unauthorized access or attacks. Cybersecurity is critical to IT as it ensures the confidentiality, integrity and availability of information and services.
However, cyber security is becoming more of a challenge as cyber threats become more sophisticated and more frequent. According to IBM , the average cost of a data breach in 2020 was $3.86 million. In addition, there is a shortage of qualified cybersecurity professionals who can detect and respond to cyberattacks.
This is where artificial intelligence can help.
AI can enhance cybersecurity by:
- Real-time anomaly and suspicious activity detection with machine learning algorithms that learn from historical data and user behavior.
- Automate tasks such as threat analysis, incident response, and patch management with natural language and image processing techniques that can understand text and images.
- Predict future attacks and vulnerabilities with deep learning models that can learn from complex data and generate insights.
For example, IBM Watson for Cybersecurity is an artificial intelligence platform that can analyze unstructured data such as blogs, news, and social media posts to provide context and insights for cybersecurity analysts.
Another example is Darktrace , which uses machine learning to build self-learning cyber defense systems that can independently detect and respond to cyber threats.
How AI improves software development
Another area where AI can have a significant impact on IT is software development.
This is a complex and time-consuming process that includes many challenges, such as writing quality bug-free code, testing the code for functionality, performance, security and usability, deploying the code to different environments and platforms, and maintaining the code for updates and changes.
This is where artificial intelligence can help.
AI can improve software development by:
- Generating code from natural language or graphic data using natural language processing and image processing techniques that can understand human speech and visual information. For example, Microsoft’s Power Apps platform allows users to build apps without writing code by using AI to transform input into executable code.
- Debugging code and finding bugs with machine learning algorithms that can learn from previous code examples and detect anomalies.
- Optimize code and improve performance with deep learning models that can learn from complex data and generate recommendations. For example, Google’s Cloud AutoML tool uses AI to optimize machine learning models for specific tasks and domains, such as image recognition or natural language processing.
- Personalize code and features based on user preferences and feedback with machine learning algorithms that can learn from user behavior and data. For example, Microsoft Visual Studio IntelliCode is an artificial intelligence tool that can provide intelligent suggestions for code completion, refactoring, formatting, and testing based on best practices derived from thousands of open source projects. Another example is DeepCode , a platform that can analyze code repositories and provide suggestions to improve code quality, security, and performance based on millions of code changes.
AI in hardware development
Another area where artificial intelligence is having a significant impact is hardware development.
AI helps hardware developers in many ways.
- Hardware design: AI is used to design hardware components and architectures optimized for specific tasks and applications, such as artificial intelligence chips or quantum computers. For example, IBM’s Qiskit tool uses AI to design quantum circuits that can perform complex calculations faster than classical computers.
- Hardware Manufacturing: AI can create more reliable, durable, and efficient hardware components and devices using technologies such as 3D printing or nanotechnology. For example, Nvidia’s DIB-R tool uses AI to create realistic 3D object models from 2D images, enabling faster prototyping and testing of hardware products.
- Hardware maintenance: AI monitors hardware components and devices for faults, failures, and degradation, providing timely notifications and maintenance and repair decisions. For example, Dell’s ProSupport tool uses AI to predict hardware issues before they affect customer systems, reducing downtime and costs.
AI in Data Center Management
AI is already helping data center operators in many ways:
- Load management: AI can manage workload distribution and resource allocation across data centers for optimal performance and efficiency. For example, Netflix’s Scryer tool uses AI to predict demand for streaming content and adjust data center capacity accordingly.
- Energy management: AI manages data center power consumption and cooling, reducing energy costs and environmental impact. For example, Google’s DeepMind tool uses AI to optimize data center cooling systems, saving up to 40% on energy.
- Security Management: AI manages data center security by detecting and preventing cyberattacks, data breaches and physical intrusions. For example, Microsoft’s Azure Sentinel tool uses AI to analyze security data and provide threat intelligence and response.
How AI is creating new jobs and skills
Many fear that artificial intelligence will replace humans in IT or other industries. However, this is not necessarily the case. AI not only automates tasks, but expands human capabilities and opens up new possibilities.
According to a World Economic Forum (WEF) report , by 2022 artificial intelligence will create 133 million new jobs, displacing 75 million existing ones. This means that there will be more opportunities than challenges for workers willing to adapt and learn new skills.
Let’s talk about some of the new roles that AI will create in IT.
artificial intelligence engineers
These are specialists who design, develop, test, deploy and maintain artificial intelligence systems using various tools and frameworks.
AI analysts
These are specialists who collect, process, analyze, visualize and interpret data using various methods and techniques.
AI ethics
Specialists who ensure the integrity, honesty, transparency and accountability of artificial intelligence systems.
AI trainers
Specialists who train machines to perform tasks using various methods such as supervised learning, unsupervised learning, reinforcement learning, and active learning.
AI Interpreters
They are specialists who explain how AI systems work and why they make certain decisions using different methods such as feature importance, model interpretability, and counterfactual analysis.
How AI is changing business models
Business models are the ways in which organizations create, deliver and capture value for their customers and stakeholders.
Business models are critical to IT as they determine how IT generates revenue and competes in the marketplace.
However, business models can change as technology advances and customer expectations change. AI, being a powerful business tool, can enable IT to create new business models or transform existing ones.
Here are some of the ways in which AI can change business models in IT:
- Creating new value propositions: These are the benefits or solutions that IT companies offer to their customers using AI capabilities such as personalization, recommendations, prediction, or generation. For example, Netflix uses AI to provide personalized recommendations and create content for its subscribers.
- Creation of new value networks: These are relationships or partnerships established by IT companies with other organizations or entities using AI capabilities such as collaboration, coordination or communication. For example, IBM Watson partners with various organizations in various industries such as healthcare, education or finance to provide cognitive solutions.
- Dynamic change in product value, profits and expenses: This is the change in the sources or mechanisms of generating income or reducing costs using AI capabilities such as automation, optimization or innovation. So, Uber uses AI to automate the selection of drivers, optimize pricing and new services such as Uber Eats or Uber Freight.