Common Questions Discussed at GITEX 2024: Trends, Insights, and What’s Next
This week was all about GITEX, the region’s largest technology conference. The event concluded with a packed schedule and a testament to AI’s significant impact.
The entire city was buzzing with AI solutions, and every aspect of technology was infused with AI. It was impossible to have a conversation without mentioning AI.
GITEX 2024 was a hub for discussions around AI’s growing influence across industries, from smart cities to advanced healthcare solutions. The focus was on AI-enabled automation, personalized experiences using generative AI, and innovations in AI-driven cybersecurity.
The attendees were curious about what is new in AI and how they can adopt or utilize AI in their businesses, processes, or careers.
I thought of summarizing my discussion by categorizing.
-
General Understanding of AI and Gen AI:
- How does Generative AI integrate with existing IT ecosystems & business operations?
-
AI in Business Strategy:
- How can AI provide a competitive edge in [industry]?
- How can businesses leverage AI for cost reduction and efficiency?
- What are the steps to build an AI strategy from scratch?
-
AI Implementation Challenges:
- What are the critical challenges in deploying AI at scale?
- How can businesses ensure data privacy when using AI models?
- What are the common pitfalls when integrating LLMs into existing systems?
- How do you choose between open-source LLMs and proprietary models?
-
Use Cases for AI and LLMs:
- How can LLMs be used for [Industry]?
- (this was the most common question, as the attendees were trying to understand how they could use AI)
-
Ethics and Responsible AI:
- What are the best practices for responsible AI deployment?
- How can businesses ensure that their AI models are unbiased?
- How do we build trust with stakeholders when deploying AI systems?
-
Oracle AI Differentiation
- What makes Oracle’s AI services unique compared to its competitors?
- How does Oracle integrate AI capabilities directly into its databases and critical features of Oracle DB 23ai?
- What role does Oracle’s AI play in simplifying enterprise AI deployments?
- How does Oracle ensure the security and privacy of AI models in the cloud?
-
Oracle Architecture with Nvidia GPUs:
- What Nvidia GPU options are available on Oracle Cloud?
- How does Oracle ensure the high availability of Nvidia GPUs for AI workloads?
- Can Oracle Cloud’s Nvidia GPUs be scaled up for large AI training models?
- How do Oracle and Nvidia collaborate to optimize GPU performance for AI?
- How does Oracle Cloud Infrastructure (OCI) handle multi-GPU setups for intensive AI tasks?
Please share highlights of your conversations…
Few other takeaways…
Trends:
At GITEX 2024, AI’s role in transforming industries was front and center, particularly emphasizing AI-enabled automation.
Discussions highlighted the evolution of AI-driven cybersecurity measures, such as threat detection and response, which are becoming crucial for modern digital infrastructures. The focus on AI’s integration with cloud solutions, like those provided by Oracle, illustrated the growing need for scalable, secure AI capabilities across various business sectors.
Insights:
A key takeaway from the event was the rising accessibility of AI tools and platforms, making advanced capabilities available to more organizations. For instance, Oracle emphasized integrating generative AI into cloud services, enabling businesses to harness AI without needing extensive in-house expertise.
Speakers highlighted the importance of understanding AI’s role in data privacy, emphasizing how organizations must balance innovation with responsible AI practices to maintain trust and compliance.
What’s Next:
Looking forward, AI’s evolution will continue towards greater integration with edge computing, enabling real-time AI processing closer to data sources.
There is a growing emphasis on sustainable AI practices, exploring how AI can help monitor and reduce carbon footprints across industries.
