3. AI is becoming multimodal
Posted: Sun Feb 09, 2025 8:05 am
The most important AI trend in 2024 will be the emergence of multimodal search/retrieval architectures and multimodal inference, which will take center stage in AI products, predicts Rak Garg, director of Bain Capital Ventures.
Most of the AI products of 2023 inspired by ChatGPT were text-based. “But users prefer more expressive software that interacts with them across all modalities — voice, video, audio, code, etc.,” says Garg. “If we can make these architectures work at scale, which will require a specialized set of advanced search tools to innovate in multimodality, we can open up a new category of software that delivers much more accurate results.”
4. A new stage in the development of generative AI
The most notable trend of 2024 will be the second act of generative AI, predicts Nick Magnuson, head of AI at analytics company Qlik. “Early signs are that it’s moving from being a conceptually stimulating technology in a speculative experimentation cycle to one that has practical impact on organizations as a whole,” he says.
Magnuson predicts that generic, all-purpose models will south africa mobile databasego out of fashion, replaced by specialized, domain-specific applications. “This evolution will be especially noticeable in the B2B context, where the need for specialized AI solutions is paramount.”
5. AI is revolutionizing data analysis
The most significant AI trend in 2024 will likely be generative AI’s disruption of traditional data analytics practices, according to Bob Brauer, founder and CEO of consultancy Interzoid. “The face of analytics, visualization, and data management will change dramatically,” he predicts.
Conversational analytics, along with advances in natural language processing (NLP), will make many current and traditional approaches to business analytics obsolete, warns Brauer. “As these AI-powered conversational tools evolve and become simpler and easier to interact with, they will become increasingly better at interpreting the nuance, context, and complex questions asked in natural language,” he says. Meanwhile, sophisticated interfaces such as voice and image input will open the door to faster, deeper, and more well-formulated data queries. “All of this will enable deeper, more actionable analytics in real time that will inform decision making and business strategy,” Brauer says.
Most of the AI products of 2023 inspired by ChatGPT were text-based. “But users prefer more expressive software that interacts with them across all modalities — voice, video, audio, code, etc.,” says Garg. “If we can make these architectures work at scale, which will require a specialized set of advanced search tools to innovate in multimodality, we can open up a new category of software that delivers much more accurate results.”
4. A new stage in the development of generative AI
The most notable trend of 2024 will be the second act of generative AI, predicts Nick Magnuson, head of AI at analytics company Qlik. “Early signs are that it’s moving from being a conceptually stimulating technology in a speculative experimentation cycle to one that has practical impact on organizations as a whole,” he says.
Magnuson predicts that generic, all-purpose models will south africa mobile databasego out of fashion, replaced by specialized, domain-specific applications. “This evolution will be especially noticeable in the B2B context, where the need for specialized AI solutions is paramount.”
5. AI is revolutionizing data analysis
The most significant AI trend in 2024 will likely be generative AI’s disruption of traditional data analytics practices, according to Bob Brauer, founder and CEO of consultancy Interzoid. “The face of analytics, visualization, and data management will change dramatically,” he predicts.
Conversational analytics, along with advances in natural language processing (NLP), will make many current and traditional approaches to business analytics obsolete, warns Brauer. “As these AI-powered conversational tools evolve and become simpler and easier to interact with, they will become increasingly better at interpreting the nuance, context, and complex questions asked in natural language,” he says. Meanwhile, sophisticated interfaces such as voice and image input will open the door to faster, deeper, and more well-formulated data queries. “All of this will enable deeper, more actionable analytics in real time that will inform decision making and business strategy,” Brauer says.