Quantum AI next big thing in AI evolution

Quantum AI emerges as the next big advancement in AI development, utilizing quantum mechanics to propel capabilities beyond current limits. With a notable 14% 3-year CAGR increase in patent filings from 2020 to 2022, quantum AI has vast influence and potential across industries, reveals the Tech Foresights model of GlobalData.

  • 1 year ago Posted in

The technology landscape is dynamically evolving, necessitating a coherent data-driven framework to make the right bets at the right time. GlobalData's Tech Foresights model is a data-driven, predictive innovation intelligence model that leverages multiple forward-looking indicators to decode future disruptions today.

Adarsh Jain, Director of Financial Markets at GlobalData, comments: “Quantum AI represents a transformative advancement in technology. As we integrate quantum principles into AI algorithms, the potential for speed and efficiency in processing complex data sets grows exponentially. This not only enhances the current AI applications but also opens new possibilities across various industries. The significant rise in patent filings is a testament to its growing importance and the key role it will play in the future of AI-driven solutions.”

Kiran Raj, Practice Head of Disruptive Tech at GlobalData, adds: “AI thrives on large amounts of data and computational power, but the inner workings of the technology often remain unclear. Quantum computing promises to offer not only more power but also potentially greater insights into these workings. This leads us to a future where AI can do more than just process data. It can create and innovate in ways we are just starting to explore.”

An analysis of GlobalData's Disruptor Intelligence Center highlights the synergy between quantum computing and AI innovations for a revolutionary impact across various industries. Key developments include HSBC and IBM's collaboration in finance, Menten AI's healthcare advancements, Volkswagen's partnership with Xanadu for battery simulation, Intel's Quantum SDK, and Zapata's collaboration with BMW.

Raj concludes: “Quantum AI offers the potential for smarter, faster AI systems, but its adoption is complex and requires caution. The technology is still in its early stages, demanding significant investment and expertise. Key challenges include the need for advanced cybersecurity measures and ensuring ethical AI practices, as we navigate this promising yet intricate landscape."

The innovative AI-managed services provider will utilise the VAST Data Platform as it builds out...
Generative integration leader brings the next evolution of AI-driven automation with new Prompt...
In a global survey of IT leaders, Cloudera found that enterprises are keen on AI agents, but fears...
Economist Impact is pleased to announce the inaugural AI Compute summit, scheduled for May 22nd...
Economist Impact is pleased to announce the inaugural AI Compute summit, scheduled for May 22nd...
SS&C Technologies Holdings has published findings from a new survey: governance, process...
Highlight has developed new AI-based capabilities for its award-winning SaaS cloud-based network...
Despite high interest rates, economic slowdown, stricter regulations on big tech and AI, Trump's...