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Podcast: Generative AI predictions for 2024

His day-to-day job is to decipher trends, follow innovations and explore the latest technologies to adapt them to the business world, enabling employees to train and progress in these areas, as well as developing use cases and business performance drivers for customers. Jérôme Malzac, Chief Innovation Officer at Micropole, lends himself to the game of predictions in this 10-minute podcast dedicated to generative AI.

If generative AIs have experienced an extraordinary boom in 2023, Artificial Intelligences are at the heart of digital transformation and data issues. For while these technological advances are fascinating, they can also shake up companies in terms of both organization and business development.

What will happen in 2024 in the world of Generative AI?

Control and generative AI

2024 should be a decisive year in terms of the impact of technologies and in particular Artificial Intelligence on the global ecosystem: fundamental questions around regulation and supervision, but also on the ethical, responsible and social dimension.

The return of immersive technologies

Immersive technologies such as AR (augmented reality) and VR (virtual reality) are likely to be the talk of the town. And let's not forget Apple and the very first space-computing headset (Apple Vision Pro).

The economics of identity

Will influencers become virtual? Fueled by AI, the world of influence and social networks could be entering a new era with this new type of influencer and business model.

Cyber security

Cybersecurity is obviously a key issue. AI, like any technological advance, has its setbacks and its fraudulent uses, such as deepfakes. Cybersecurity is going to face ever-greater challenges.

OpenAI, the trump card of generative AI?

While the end of the year was rich in movement for OpenAI - with the ousting and reinstatement of Sam Altam, followed by a huge fund-raising campaign - the next few months are likely to be decisive, and the challenges quite substantial: some of the firm's big names have jumped ship, and the performance of their GPT is deteriorating.

Will Chat GPT5 live up to expectations?

Expected in the spring, it seems more reasonable to imagine a launch of ChatGPT5 in the second half or by the end of the year. OpenAI's promises point to an even smarter GPT5 model, but training is likely to take several months before it is fully operational. To keep up with the competition, it would be easy to imagine an intermediate, more multimodal version, GPT4.5.

Google, Microsoft, Apple... there's movement in the field of Generative AI

OpenAI is far from alone in its quest for a share of the pie, with other players set to make their mark on the artificial intelligence scene.

  • Google and Gemini Pro, then Gemini Ultra, a very serious current competitor to GPT4, faster and more multimodal. Google will be able to play to its greatest strength, that of its ecosystem (Gmail, Google Doc, Youtube, etc.), which is used in both the professional and personal spheres. To this should be added its SGE (Search Generative Engine), a search engine indeed, but also capable of creating answers;
  • Microsoft, thanks to its Copilot, will also be able to significantly expand its ecosystem and the elements of its ;
  • But we're also expecting a lot from other players such as Meta on open-source, Apple and the AI embedded in the iPhone, Mistral AI (a French gust of wind that is likely to disorient many AI players) and AWS with Bedrock and SageMaker (machine learning service).

In 2024, we could expect a lot of changes, particularly on voice assistants (Amazon's Alexa, Google Home), which could ride the wave of generative AI. The employment landscape may well undergo changes in very specific industries. This change, which we've been seeing since the advent of generative AI, is likely to fuel social movements against AI in the image of what happened at the end of the year in Hollywood.

Even smarter smartphones thanks to AI

As far as smartphones are concerned, we're likely to see a rapid evolution from LLM (Large Language Model) to SLM (Small Language Model) or even PLM (Personal Language Model): a highly personalized, contextualized language that can be embedded on mobile devices. One example is the Pixel 8 with Gemini Nano.

Generative AI as a vector for innovation in healthcare

It's hard to imagine today the use cases that will be possible tomorrow thanks to generative AI. The use of artificial intelligence in healthcare has already led to numerous discoveries, not all of which are viable, but which promise tremendous advances.

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