November’s data trends see a huge focus on AI developments & investments.
We’ve delved into some of the biggest movements below – check them out 👇
Big Tech’s Big Bets on AI
In 2024, the world’s leading tech giants—including Microsoft, Amazon, Alphabet, and Meta—are significantly increasing their investments in AI, with their combined AI spending projected to exceed $240 billion this year. The demand for AI-powered tools continues to skyrocket, driving this unprecedented level of investment.
With forecasts suggesting that AI could contribute an additional $20 trillion to the global economy by 2030, it’s no surprise that the largest corporations are heavily investing in this space. Beyond the economic potential, such investments create additional revenue opportunities. For example, Microsoft’s AI products are expected to generate $10 billion annually.
For Big Tech, AI transcends being just a trendy concept; it’s a strategic, long-term commitment poised to transform entire industries.
Samsung’s Second-Generation AI Model: Gauss2
In November, Samsung held its virtual Samsung Developer Conference Korea 2024, where it unveiled its latest software innovations and future-focused vision.
A highlight of the conference was the introduction of Samsung Gauss2, the second-generation AI model that promises improved performance, efficiency, and broader applications. Gauss2 is a multimodal AI system capable of processing language, code, and images, and is available in three versions tailored for different use cases:
- Compact: Optimized for on-device use in environments with limited computing resources, maximizing device performance.
- Balanced: Offers a blend of performance, speed, and efficiency suitable for various tasks.
- Supreme: Provides top-tier performance with Mixture of Experts technology, which reduces computational costs during training and inference while maintaining high efficiency.
Samsung aims to boost productivity through Gauss2 by enhancing its code.i service, enriching the natural language Q&A capabilities of the Samsung Gauss Portal, and supporting multimodal functions such as table and chart analysis and image creation.
Read more from Samsung here.
LinkedIn & The Journey to Their GenAI Tech Stack
LinkedIn has published a detailed blog post that explores the evolution of its reimagined product portfolio and how Generative AI has been integrated into its features. They identify several key focus areas and insights gained from developing their GenAI capabilities:
- Prompt Management: Efficiently managing prompts at scale requires systems for templating, versioning, and structuring to support complex applications
- Task Automation via Skills: GenAI-driven task automation can unlock significant value but demands advanced tools to scale effectively
- Contextual Awareness & Personalisation: Memory plays a crucial role in personalising GenAI experiences and must be thoughtfully integrated into the tech stack
- Model Inference & Fine-Tuning: Balancing quality, cost, and latency requires flexible infrastructure that accommodates various models and use cases
- Migration to the New Stack: Adopting new technologies through incremental migration and cross-training is essential for stability
Since the introduction of their GenAI tools in early 2023, LinkedIn has continued to refine these capabilities, moving towards their vision of a robust GenAI tech stack that balances rapid development with long-term scalability.
Read the full blog from LinkedIn here.
Google’s Accidental Unveiling of Project Jarvis
Google appears to be developing an advanced AI assistant that goes beyond traditional chatbots and voice assistants. Known as Project Jarvis, this initiative aims to perform tasks autonomously, rather than waiting for user commands. It can manage tasks such as handling emails, conducting research, and scheduling appointments, setting itself apart by proactively collaborating with users as a digital partner.
While the technology holds exciting potential, it also raises important questions. On the skeptical side, concerns include the potential for job automation, which could impact routine roles, and security risks, given that Jarvis would have access to users’ sensitive data. However, the technology could also provide significant benefits, enhancing accessibility for people with disabilities and those with busy, on-the-go schedules.
We’re excited to see where this innovative project leads!
Conclusion
As we move through 2024, one thing is clear: AI has firmly cemented itself as the cornerstone of innovation and economic growth. From groundbreaking AI models like Samsung Gauss2 to LinkedIn’s evolution of its product tech stack, and even Google’s latest AI assistant, the landscape is rapidly evolving, and the world’s leading tech companies are investing billions to aid in further development.