DataStax, the company that powers generative AI applications with real-time, scalable data released its top predictions for 2024. Beware, the AI juggernaut is unstoppable.
Highlights
- The company predicts that AI will become more deeply regulated with the rise of dark AI causing social and business disruption
- Workers worried about AI taking their jobs may retaliate
- Cybersecurity and bad actor prevention can be done via LLMs, and innovations in this field are likely in 2024
- AI consolidation is coming. OpenAI is likely to be the giant, but other players can build turnkey, compatible AI systems
- GenAI will disrupt Small and Medium Business Operations by improving efficiency, with smaller companies adopting new technologies faster
- The “Instagrams” of GenAI apps will emerge in 2024, revealing market leaders and disrupting the field
Organisations will work towards building game-changing AI apps that will fuel a new way of consumer interactions.
1. AI will become more deeply regulated
After simmering for years, AI exploded in early 2023 when ChatGPT and DALL-E went viral. This rapid rise raised serious questions about “AI for good” vs “AI for commercial gain” in society and politics. The OpenAI and Sam Altman fiasco highlighted the contrast.
Since October’s White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI, the EU has strengthened regulatory scrutiny of AI and its developers.
And the pressure is not just coming from government and regulatory organisations. If unemployment and stagnation worsen in 2024, workers worried about AI taking their jobs may retaliate.
Backlash is likely just the start.
DataStax report on Generative AI Trends for 2024
2. The rise of Dark AI will cause societal and/or business disruption
Uncensored, open-source LLM-powered autonomous agents can launch destructive assaults. Unedited LLMs, even from bad-actor states, could be used for financial fraud, organised crime, bioweapons, and terrorism.
But all is not lost. Cybersecurity and bad actor prevention can be done via LLMs. Innovations in this field are likely in 2024.
Check out this feature on Gen AI Benefits and Use Case Applications
3. AI Consolidation is coming – Only AI firms that can manage governance, risk, and compliance will survive
Companies investing in AI technology will need partners to help them navigate new regulations. AI businesses that can create strong government partnerships will succeed in this sector. One to three big players will likely fill this need.
OpenAI is likely to be the giant, but other players can build turnkey, compatible AI systems.
4. GenAI will alter and disrupt Small and Medium Business Ops by improving efficiency
Many large enterprises will still be experimenting with generative AI in various “proofs of concept” or pilot programs as the implementation cycle is much longer and the process of deploying to production, much more complex.
However, SMBs are more agile and adopt new technologies faster. Gen AI will be used by smaller companies for content development, demand generating automation, and more. They can experiment, create, and deploy this technology faster than before.
Leading, agile AI-powered enterprises will create new ways to engage consumers and businesses.
5. The “Instagrams” of GenAI apps will emerge in 2024
After the iPhone launched, there was an app frenzy, but many failed. However, Facebook, Instagram, and others won. The “Instagrams” of GenAI applications will emerge in 2024, revealing market leaders.
We’re seeing early signs of this with Alpha Ori disrupting and enabling the multi-billion dollar international shipping business, with PhysicsWallah using gen AI for EdTech for millions of students, and Skypoint automating healthcare, saving physicians and medical providers up to 10 hours each a week.
About DataStax
DataStax is the company that powers generative AI applications with real-time, scalable data with production-ready vector data tools that generative AI applications need, and seamless integration with developers’ stacks of choice. The Astra DB vector database provides developers with elegant APIs, powerful real-time data pipelines, and complete ecosystem integrations to quickly build and deploy production-level AI applications. With DataStax, any enterprise can mobilise real-time data to quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, VerSe Innovation, and many more rely on DataStax to deliver real-time AI.
