1. Hyperautomation
Hyperautomation includes the use of AI, machine learning, and robotic process automation (RPA) to automate complex business processes. For example, financial companies deploy AI bots to handle routine tasks like data processing and responding to customer inquiries. By the end of 2024, intelligent automation tools are expected to become more widespread, enabling end-to-end workflow automation — from invoice processing to onboarding new employees — significantly boosting operational efficiency.
2. Strengthening cybersecurity with AI
As cyber threats grow more complex, AI’s role in cybersecurity becomes critical. Companies like Darktrace use AI to detect anomalies in network traffic that indicate potential threats. These systems analyze patterns and learn from each attack, providing real-time detection and response to threats. In the second half of 2024, these technologies will become even more advanced, offering predictive capabilities that let organizations anticipate and prevent potential security threats before they occur.
3. Intelligent IT operations (AIOps)
AIOps platforms apply AI to improve IT operations by predicting and proactively resolving issues. For example, IBM’s Watson AIOps uses machine learning to analyze data and predict potential outages. By the end of 2024, AIOps is expected to be widely adopted for performance monitoring and automated remediation, helping minimize downtime and increase IT resilience.
4. DevOps with AI
AI is revolutionizing DevOps by automating testing, deployment, and monitoring processes. Tools like GitHub Copilot assist developers by suggesting code snippets and automating repetitive tasks. In the second half of 2024, AI-driven DevOps tools will become more sophisticated, using predictive analytics to spot potential issues early in development and optimize workflows, speeding up release cycles and improving software quality.
5. Advanced natural language processing (NLP) for IT support
Advances in NLP make IT support more efficient and user-friendly. AI chatbots like IBM Watson Assistant can understand and resolve complex IT requests using natural language. By the end of 2024, these chatbots will deliver even more accurate, context-aware responses, reducing the load on IT support teams and improving user satisfaction.
6. AI in cloud computing
Integrating AI with cloud computing optimizes resource management and cost efficiency. Platforms like Google Cloud use AI tools to automate scaling and monitor cloud resources in real time. In the second half of 2024, more organizations are expected to adopt AI solutions for cloud management, workload forecasting, resource optimization, and improved security management, delivering better performance and cost savings.
7. AI-driven data analytics
AI-based data analytics is becoming an essential decision-making tool. Companies like SAS use AI for predictive and prescriptive analytics, helping businesses extract insights from large datasets. By the end of 2024, AI analytics platforms will deliver more accurate and timely data, enabling companies to make informed decisions, optimize operations, and drive innovation.
AI applications at GLONIN.KZ
At GLONIN.KZ we actively use AI in the following key areas:
- Project management
- Software development
- Data analytics
- Cybersecurity
- Integrating AI innovations into workflows
- Developing new AI-based products
Conclusion
The IT sector stands on the brink of major transformation driven by rapid AI development. The second half of 2024 will bring significant changes related to process automation, strengthened cybersecurity, and optimized IT operations through AI. Integrating AI across IT will boost efficiency and productivity, opening new opportunities for innovation and growth. At ARTJOKER, we strive to implement advanced AI solutions to maintain our competitive edge and offer clients the latest technologies.
