In 2017, the global industry witnessed a significant milestone in the field of artificial intelligence (AI), marking it as the first true year of AI development. Both international research institutions like Gartner and domestic market analysts such as MIC recognized "artificial intelligence" as the most critical technological advancement of that year. AI's applications extend far beyond robotics, the Internet of Things (IoT), and autonomous vehicles; they also play a vital role in the information sector. From enhancing information applications to improving data security, AI has become an essential component in managing digital complexity.
Why is AI relevant to the information department? It all comes down to the convergence of technologies. With the widespread use of mobile devices, IoT is becoming increasingly integrated into everyday life. As a result, vast amounts of consumer data are continuously collected and transmitted. These massive datasets can be analyzed and simulated using AI technology, helping to optimize information systems and manage large volumes of data more efficiently. In other words, understanding AI has become one of the biggest challenges for information professionals in 2018.
As enterprises move toward digital transformation, handling the growing volume of information becomes a key challenge. Technology evolves rapidly, and companies must keep up with these changes to stay competitive. Gartner identified AI as one of the top ten technologies in 2018, highlighting its role as a key driver of digital innovation. AI serves as a powerful tool for data analysis and cloud computing, enabling organizations to process complex tasks more effectively. However, the IT department faces challenges such as high workloads, costs, and complexity—commonly referred to as the "three highs."
In 2018, more AI solutions began entering the market, driven by advancements in blockchain, event-driven architectures, and cybersecurity. The future of information security lies in managing risks and building trust, which is where CIOs need to focus their efforts. AI is becoming a primary investment target for CIOs, especially when dealing with massive data sets that require quick processing.
According to Gartner, by 2020, nearly 95% of machines will be connected to the Internet of Things. This shift means that AI will take over many IT tasks, not only replacing human roles but also supporting workforce transformation and assisting other departments. More companies are now investing in AI-driven machine learning solutions, such as analyzing customer data, deploying chatbots, and optimizing consumer models. These innovations highlight the growing synergy between marketing and AI technology.
AI machine learning helps the information department by simplifying complex processes. By integrating various data sources and reshaping information security strategies, AI can identify pain points in managing large-scale data. For instance, AI can analyze cross-screen data, detect overlapping patterns, and determine optimal customer engagement times—areas where machine learning significantly enhances operational efficiency.
Marketing tools are evolving rapidly, and companies like Lenovo are playing a key role in boosting enterprise data computing power. As AI becomes more central to business operations, the demand for high-performance computing (HPC) increases. HPC enables complex and large-scale computations to be completed quickly, improving application performance. In this context, AI’s computing needs are closely linked to High Performance Data Analytics (HPDA).
According to IDC, the growth rate of HPDA commercial advanced analytics servers is currently at 26%, with Lenovo leading the way at a 17% growth rate—the fastest among global HPC suppliers. Lenovo holds an 18% share of the high-performance computing market, ranking second globally. A notable example is the Leibniz Supercomputing Center in Germany, which reduced electricity costs from 27.6 million euros to 17.4 million euros by implementing Lenovo’s Direct HP Cool technology, achieving a 35% cost reduction.
For enterprises looking to expand their AI capabilities, Lenovo’s high-performance computing solutions offer superior performance, ease of deployment, lower total cost of ownership, and a modular user experience. Brand marketers seeking to unlock the full potential of their data through high-performance computing should consider how AI and HPC can drive innovation and efficiency in the modern enterprise landscape.
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