Dell Technologies has unveiled its forecast for 2024, predicting that the integration of artificial intelligence (AI) with other emerging technologies will revolutionize business transformation. The tech giant anticipates that AI will drive the convergence of advanced hardware, edge devices, cybersecurity, quantum computing, and generative AI within the next five years. John Roese, Dell Technologies’ Global Chief Technology Officer, stated that in 2024, AI will transition from theory to practice, with a focus on developing the security infrastructure around inference infrastructure. Roese also highlighted two significant shifts in AI integration: a shift from data training cost to overall cost of operation, and a strategic focus on a few transformative generative AI projects. Dell envisions an improved enterprise generative AI supply chain and ecosystem, with greater choices in graphic processing units and growing availability of closed- and open-source models and tools to assist businesses in implementing generative AI. Roese further emphasized the importance of the zero trust security approach, predicting it will become a central discussion as it moves from concept to reality. Additionally, Roese noted that AI usage will mostly occur where data resides, such as sensors, actuators, manufacturing environments, and retail stores. He highlighted the potential for quantum computing to excel in solving probabilistic and optimization problems, indicating a future intertwining of AI and quantum ecosystems. In related news, the Thai PBS World Forum recently discussed AI’s impact on the media industry and its future direction.
Frequently Asked Questions (FAQs) Related to the Above News
What is Dell Technologies predicting for 2024?
Dell Technologies predicts that the integration of artificial intelligence (AI) with other emerging technologies will revolutionize business transformation by 2024.
What specific areas does Dell Technologies anticipate AI driving convergence with?
Dell Technologies anticipates AI driving convergence with advanced hardware, edge devices, cybersecurity, quantum computing, and generative AI within the next five years.
What is the significance of the transition of AI from theory to practice?
The transition of AI from theory to practice in 2024 will lead to a focus on developing the security infrastructure around inference infrastructure, ensuring the practical implementation of AI technology.
What are the two significant shifts in AI integration highlighted by John Roese?
John Roese highlights a shift from data training cost to overall cost of operation in AI integration, as well as a strategic focus on a few transformative generative AI projects.
What improvements does Dell envision for the enterprise generative AI supply chain and ecosystem?
Dell envisions an improved enterprise generative AI supply chain and ecosystem with greater choices in graphic processing units and growing availability of closed- and open-source models and tools to assist businesses in implementing generative AI.
What is the zero trust security approach and why is it important?
The zero trust security approach is a security model in which no user or device is automatically trusted, and verification is required for every access request. It is predicted to become a central discussion as it moves from concept to reality, enhancing overall security infrastructure in AI integration.
Where is AI usage expected to mostly occur?
AI usage is expected to mostly occur where data resides, such as sensors, actuators, manufacturing environments, and retail stores.
What is the potential for quantum computing in relation to AI?
Quantum computing has the potential to excel in solving probabilistic and optimization problems, hinting at a future intertwining of AI and quantum ecosystems.
What was discussed about AI's impact on the media industry in the Thai PBS World Forum?
The Thai PBS World Forum recently discussed AI's impact on the media industry and its future direction, although specific details are not provided in the given information.
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