In 2017, the global industry witnessed a major shift as artificial intelligence (AI) emerged as a pivotal force. Both international institutions like Gartner and domestic research firms such as MIC identified AI as one of the most critical technological advancements of the year. Its applications extended beyond robotics, the Internet of Things (IoT), and autonomous vehicles, reaching into the information sector. AI played a crucial role in improving information systems, data processing, and security, making it an essential component in modern IT infrastructure.
Why is AI relevant to the information department? The answer lies in the rapid evolution of technology. With the widespread use of mobile devices and the increasing integration of IoT into daily life, vast amounts of consumer data are continuously collected and transmitted. AI enables organizations to analyze this data efficiently, optimizing information flow and system performance. In 2018, understanding AI became a top priority for information supervisors, as it offered powerful tools to manage complex data environments.
As enterprises move toward digital transformation, managing large volumes of data has become a significant challenge. Technology evolves rapidly, and companies must keep up with these changes to stay competitive. Gartner highlighted that AI was among the top technologies in 2018, positioned as a key enabler of digitalization. It serves as a powerful tool for data analysis and cloud computing, helping IT departments tackle the "three highs" — high workload, high cost, and high complexity.
In 2018, more AI solutions entered the market, driven by innovations in blockchain, event-driven systems, and information security. As AI continues to evolve, it becomes a central focus for CIOs, who must manage risks and build trust through advanced security measures. AI is not just a trend; it's becoming a strategic investment for enterprises looking to process massive data sets quickly and efficiently.
According to Gartner, by 2020, nearly 95% of machines will be connected to the IoT. This shift means that AI will play a crucial role in replacing routine tasks and supporting human workers. Companies are increasingly adopting AI for machine learning, such as analyzing customer data, deploying chatbots, and predicting consumer behavior. These applications highlight how marketing and AI are merging, creating new opportunities for innovation and efficiency.
AI also helps the information department simplify complex processes. By combining diverse data sources and reshaping information security strategies, AI can identify pain points and improve overall performance. For example, AI can analyze cross-screen data, detect overlapping patterns, and determine optimal engagement times, significantly enhancing decision-making capabilities.
The future of AI in the enterprise is closely tied to High Performance Computing (HPC). As businesses deal with massive data volumes daily, they require faster and more efficient computational power. HPC enables complex and large-scale data processing in a short time, directly impacting AI’s ability to deliver insights and optimize operations.
IDC reports that the growth rate of HPDA (High Performance Data Analytics) servers is 26%, with Lenovo leading the way at 17%. Lenovo holds 18% of the global HPC market share, ranking second among technology providers. A notable example is the Leibniz Supercomputing Center in Germany, which reduced energy costs by 35% using Lenovo’s Direct HP Cool technology.
For enterprises aiming to expand their AI capabilities, Lenovo’s HPC solutions offer high performance, easy deployment, lower total cost of ownership, and a modular experience. Marketers seeking to unlock the full potential of data through high-performance computing can benefit from these advanced tools. As AI continues to reshape the IT landscape, enterprises that embrace these technologies will gain a competitive edge in the digital age.
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