In today’s technology world, the transformative power of artificial intelligence and automation is becoming the main motivation for cloud investments.
Many IT leaders prioritize the use of these technologies in their business processes due to their advantages.
When planning cloud investments in 2024, businesses need to ensure that artificial intelligence and automation are compatible with company strategies in terms of organizational goals, financial forecasts, personnel recruitment and talent acquisition.
business goals
IT leaders need to take responsibility to ensure that AI and automation initiatives are aligned with the organization’s goals.
It is crucial to evaluate whether proposed initiatives or use cases for artificial intelligence have strategic value.
For example, deciding to get support from various artificial intelligence tools to automate certain tasks speeds up business processes, and thus employees allocate the time they save to tasks in which they can take a more active role.
At the same time, the alignment between AI automation strategies and public cloud goals becomes indisputable. At this point, IT leaders must define whether artificial intelligence and automation are the solution itself or a part of it. This distinction becomes even more important considering the complexity between AI and traditional IT solutions.
ROI and TCO analysis
IT leaders need to fully analyze the Return on Investment (ROI) and Total Cost of Ownership (TCO) before investing in AI and automation initiatives.
TCO for AI and automation includes not only implementation costs, but also cloud storage fees, data transfer fees, and costs associated with cloud-focused machine learning services.
However, it is critical for IT leaders to carefully calculate the ROI of artificial intelligence and automation initiatives. Therefore, intelligence and automation initiatives need to be addressed through change management methodologies.
Data quality and availability
The success of an artificial intelligence and automation initiative lies in ensuring that the business has enough available data and that this data can be easily moved to the cloud.
Institutions that do not have sufficient data must first prioritize initiatives to structure and collect this data.
When a business chooses to build its own AI and automation solutions rather than leveraging off-the-shelf solutions, ensuring data accuracy is critical.
Additionally, issues IT leaders need to address include cloud data availability, residency, backups, cost, and compliance.
Technology selection
When choosing an artificial intelligence and automation solution, working with a supplier that specializes in these areas helps businesses start the process on a more reliable basis. One of the factors to be taken into consideration is the required workforce requirement.
Considering that both remote and hybrid working will continue in 2024, it is anticipated that cloud-based flexible technologies will be needed that allow personnel to work from wherever they are.
Therefore, integrating artificial intelligence-supported anomaly detection into the entire system is of great importance to monitor performance.
Artificial intelligence enables active monitoring of resource usage in the workforce, troubleshooting problems, identifying performance bottlenecks and identifying deviations from goals.
At every step of choosing a new technology, the organization’s current technology infrastructure, long-term goals, connections with business partners and, finally, relationships with customers need to be taken into consideration.
When choosing a new technology, IT leaders need to take into account that they can quickly and easily access new features and enhancements when they use services from industry leaders such as Microsoft, Google and AWS.
Security plans
Although artificial intelligence and automation are mainly hosted on reliable cloud platforms, service interruptions can cause processes to be disrupted. That’s why IT leaders need to be aware of the unique challenges of AI and automation.
It is predicted that in 2024, artificial intelligence and automation will play a significant role in improving security measures.
It is predicted that businesses will increasingly use these technologies to effectively define and automate AI-powered solutions. By taking advantage of the capabilities of artificial intelligence and automation, businesses aim to strengthen their defenses, intervene with weaknesses and strengthen their general security infrastructure.
Talent and expertise
Team expertise and training play a critical role in a business’s ability to successfully carry out artificial intelligence and automation activities, especially in the cloud. IT teams must have specialized capabilities to design and execute AI and automation applications in a preferred cloud or multi-cloud.
As businesses use artificial intelligence, the value of training and studies on this technology increases, and it becomes more important than ever to ensure that institutions obtain a return on investment.
It is becoming increasingly critical to continuously evaluate existing talent, identify expertise gaps, and create a recruitment strategy to increase skills.
