What does Google’s “multimodal” AI model, Gemini, mean for businesses?

Google rejoins the AI race thanks to Gemini. Analysts claim that enterprise customers now have a respectable substitute for GPT-4.

All analysts agreed that this gave Google a significant advantage over rivals Microsoft’s OpenAI and Meta’s Llama 2 in the current generative AI war. Now that the internet giant is back in the game, it has a good chance of taking the lead once more as it works to incorporate Gemini into its cutting-edge products and services, which include cloud platform services, search, and Google Ads.

Not to be overlooked, Google’s artificial intelligence researchers also invented transformer technology, which was intended to be used with the idea of “self-attention” in order to greatly accelerate and improve computers’ ability to understand language. Transformers, which represent the letter “T” in Generative Pre-Trained Transformers (GPT), are also the fundamental element of GPT.

Being a multi-modal AI model,G-emini can concurrently comprehend and process several forms of data, such as text, code, audio, images, and videos.

Chirag Dekate, Vice President and Analyst at Gartner for Quantum Technologies, AI Infrastructures, and Supercomputing, believes that combining these multimodality features would undoubtedly enable enterprise use cases that go beyond what appear to be traditional text prompts.

According to Gartner, Google plans to make G-emini Pro and Gemini Ultra accessible through the Google Vertex AI suite, allowing businesses and partners to create strong applications that are linked with Gemini.

According to Dekate, the technological ecosystem is poised for a major industry upheaval propelled by Gemini, which has the potential to completely alter a range of sectors, including software development and education, in a manner not achievable with alternative business models.

Three versions of Gemini will be available: Ultra for extremely complicated activities, Pro for scalability over a broad variety of workloads, and Nano for on-device jobs.

Currently, the G-Emini Pro version is linked with Google’s chatbot, Bard. With the most recent Android update, Pixel 8 Pro phones will also be able to access Gemini Nano.

On December 13, the Pro version—which is intended for developers via the Gemini API in Google AI Studio and Google Cloud Vertex AI—will be available. Before being released in the first part of next year, Gemini Ultra is presently undergoing testing with a small number of users, partners, developers, and safety and responsibility specialists.

Greyhound Research’s founder and CEO, Sanchit Vir Gogia, stated that although Gemini is nearly equal to GPT-4, GPT-5 is the first serious competitor to GPT-4 because it will launch at least a year from now.

Gogia continued, “From this point forward, OpenAI will have some difficulty maintaining its competitive advantage because Google has the means to swiftly implement its technology and grow.”

Though the margins are still small, Google DeepMind claims that Gemini can outperform GPT-4 on 30 of 32 conventional performance metrics.

Changes to Google’s business strategy

Makhija thinks that when Google begins integrating Gemini into all of its products by the end of the year, it will also significantly alter Google’s business strategy.

Using Gemini’s search engine optimisation as a model, he clarified, “Up till now, when you search, you get 10 blue links from Google. And you have to decide which one is most appropriate for you. Perhaps all of that will be summed up and answered up front with GenAI. Now, since the main revenue stream for Google comes from advertising, things like this also significantly alter the company’s business model. The entire search economy depends on which links users click.

Gemini will be heavily utilised for other branding objectives, such as narrative and merchandise, according to Techarc Chief Analyst Faisal Kawoosa.

Additionally, Gemini appears to function well in a few challenging use scenarios. I’ve long been curious about the use of AI to assess a product’s authenticity through physical property assessment. For that, Gemini will be useful,” he continued.

Gogia claims that adding further capabilities to Gemini and incorporating it into sales and go-to-market offers will represent a significant change, even for the Google Cloud Platform (GCP) and its updates.

Gogia continued, “The majority of AI developers, as well as many SaaS and commercial customers, already choose GCP as their default cloud service provider.

According to Dekate, “As enterprise clients look to disrupt their industries, Gemini will likely enable an unprecedented growth opportunity for the Google Cloud Platform.” Businesses only have one issue to answer: how quickly can they maximise the benefits of multimodal generative AI techniques? This is the cue that businesses have been waiting for to engage with generative AI.