AS the clock ticks into the new year, lets consider some things AI related and how they will look in 2024 by asking some questions 🙂
What are the top three things I need to consider when starting a new company using AI in 2024?
The top three things to consider are the shift towards specialized models, the integration of multimodal models into everyday life, and the importance of data and security.
Is there a gap between businesses experimenting with GenAI and actually going live with GenAI solutions?
Yes, according to a Gartner survey, while many organizations have been exploring GenAI, only a small percentage have actually gone live with GenAI solutions.
Should I prioritize projects with tangible business outcomes for my new AI startup?
Yes, in 2024, it’s important to focus on projects that have tangible business outcomes as investors are looking for strong business fundamentals and real-world impact.
What can I expect in terms of competition in the AI industry?
The AI industry is marked by rapid innovation and intense competition. Incumbent companies are integrating AI into their existing products while startups are pushing the boundaries with innovative experiences and new products.
Are specialized AI models more cost-effective for organizations?
Yes, in 2024, there is a shift towards deploying smaller, more specialized models in production. These models are not only more cost-effective but also offer superior performance for specific tasks.
How will multi-modal AI systems impact everyday life?
Multi-modal AI systems, which process and understand information across various modalities, are expected to be integrated into everyday life. This integration will transform industries such as healthcare, education, robotics, and e-commerce with context-aware, complex AI applications.
What are the main focuses in the AI landscape regarding data and security?
As AI adoption increases, organizations will prioritize data quality, security, privacy, and trustworthiness. High-quality data is essential, and proactive security measures are necessary to mitigate risks and address cybersecurity threats.
Are open-source AI models gaining momentum?
Yes, open-source AI models are gaining momentum and outperforming closed models on select tasks. Many companies are seeking alternatives that offer more autonomy and control, and a significant percentage of companies are expected to expand their AI adoption with open-source models in the coming years.
How will AI regulations impact product development?
AI regulations are evolving, and different regions are adopting varying approaches. This divergence in regulations will result in phased AI roll-outs and a temporary slowdown in product development velocity. Companies will need to navigate new standards on data privacy, bias, discrimination, and cybersecurity.
Is there insurance coverage available for financial losses stemming from AI model failures?
In 2024, insurance companies are adapting their risk management offerings to include specialized coverage for financial losses resulting from AI model failures. This specialized insurance can provide businesses with added protection and help address risk management concerns.
What does the future of AI hold?
The future of AI in 2024 promises exciting possibilities, including AI’s impact on healthcare, climate change, and energy, as well as the convergence of data modalities in multimodal models. AI startups should embrace these opportunities and challenges to shape the future of the AI industry.
What are the key takeaways for starting a new AI company in 2024?
The key takeaways are to consider the shift towards specialized models, the integration of multimodal models into everyday life, the importance of data and security, and to stay ahead of the AI race, navigate regulations, and explore new possibilities in the AI industry.