Across every industry, AI dominated discussions and developments in 2023, and the results were compelling. However, as the calendar turns to 2024, the tech is punctuated with challenges that need attention beyond foundational research.
AI is filled with uncertainties as it breaks traditional patterns. There are also concerns regarding how well employees and enterprises adopt the technology. With the upcoming elections in the US and India, the political faction is also threatened by AI deepfake technology.
The challenges continue to persist, but so does a narrative of possibilities. By drawing insights from industry insiders, one can understand the trajectory of AI in the upcoming year.
Here are 6 predictions explaining what AI in 2024 will mean for organisations, investments and researchers.
Sara Hooker, Head of Cohere for AI
The head of one of the hottest AI startups in Silicon Valley, Sara Hooker, has predicted that the AI community needs to step up its game in 2024. She points out a big issue: Most AI tech is made with a Western viewpoint, mostly in English-speaking countries. This leaves out many languages and cultures, especially from places like Asia, where much of the world's population lives.
She also told Turing Post that 2024 will shake things up in research. Instead of just focusing on one thing like language or visuals, we'll see a lot more tech that combines different aspects, like speech and images, all working together in multi-modal AI models.
Werner Vogels, Chief Technology Officer, Amazon
At Amazon Web Service's annual gathering, re:Invent 2023, Werner Vogels, the big tech's chief, announced his famous yearly predictions. He said that in the coming year, the community will train AI models with a mix of different cultures to understand people better and tackle big world problems.
These AI models will give better answers on various topics, making them more useful. This change isn't just for one place or group; it will make a difference everywhere, for all kinds of people, now and in the future.
In an exclusive interview with AIM, he shared thoughts on how diverse countries like India can build their inclusive AI models.
Clem Delangue, CEO and Co-founder, Hugging Face
The CEO of Hugging Face, the hosting platform for open-source AI models, recently shared some insights on LinkedIn about what we might see in AI – particularly language models – for the following year.
Starting with a bold statement, he noted that quite a few of the hyped AI companies that have been grabbing headlines and investor attention might be in for a rough patch. He suggested that it was not just some minor setbacks; some of these companies might face severe financial troubles or might even be bought out for much less than they were once valued.
On a brighter note, open source will have some promising developments. He's putting out there that these open-source language models are on track to reach a level where they can compete head-to-head with the best and most expensive closed-source models.
Bhasker Gupta, CEO, Analytics India Magazine
AIM founder, Bhasker Gupta, recently took to his annual tradition of giving his followers a heads-up on what AI might look like in 2024. He pointed out that there's a tangible risk of AI being manipulated, playing an important and not necessarily a positive role in the upcoming democratic elections.
He also mentioned that the ripple effects would be far-reaching and raise another round of concerns and debates about "Responsible AI".
Sridhar Muppidi, CTO, IBM Security
As AI keeps pushing the boundaries, the discussion around security predictions is getting real. The early birds are already using AI to strengthen the front end, giving security analysts a productivity boost. But AI and cybersecurity might be on the cusp of something big.
The CTO of IBM Security put it straight and said, "I don't think we're far from seeing generative AI deliver a transformative impact on the back end to completely reimagine threat detection and response into threat prediction and protection."
He believes the tech's ripe and ready, so the cybersecurity industry is gearing up for a game-changing moment, "achieving prediction at scale".
Erin Price-Wright, Partner, Index Ventures
As AI continues to boom, it demands a lot of computing power and storage space. Looking ahead to 2024, Erin Price-Wright, a partner at Index Ventures, a leading VC firm, thinks big changes are coming to data centres where all this data is stored.
She says we'll see better ways to connect computers, find new energy sources, and cool down those overheating machines. Speaking to Fortune, she's got her eyes on the future of data centres.
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