Quantum computing startups are taking over the world of deeptech as the technology becomes more viable, investment surges, and breakthroughs are multiplying. The United Nations even crowned 2025 as the ‘International Year of Quantum Science and Technology’, making 100 years since the birth of quantum mechanics.
The Department for Science, Innovation and Technology (DSIT) has significantly increased its IT spending, investing nearly £5 million in laptops, phones, and tablets over the past two years. This investment is a key part of DSIT’s strategy to scale up internal digital capabilities and empower its workforce, supporting the UK’s ambition to become a global leader in technology and artificial intelligence.
Data is driving everything in businesses from everyday operations to long-term strategy, making the quality of that data increasingly important. While organisations across industries are investing in analytics platforms, artificial intelligence (AI), and digital transformation initiatives, many are still overlooking a foundational question: can we trust the data we’re using?
In today’s overcrowded digital landscape, building a successful brand isn’t just about visibility. It’s all about meaning, too. The businesses that win aren’t always the biggest ones and they are certainly aren’t the loudest, they’re the ones that connect most deeply. They make people feel something. They understand their customers better than anyone else and they show up online with confidence and purpose.
In 2016, WASP first introduced the Shamballa project, inspired by the ideal of peace and harmony embodied in the legendary place of Tibetan tradition. The goal was ambitious: to turn that ideal into reality through the conscious use of an emerging technology: 3D printing. The project was conceived as a space dedicated to research, where 3D printing would be used to address the fundamental needs of human beings: food, housing, health, energy, work, and culture.
Enterprise leaders are eager to move beyond AI experimentation and unlock scalable value. However, new research from Kore.ai, a global leader in enterprise AI, reveals a critical gap: while 71% of companies are actively using or piloting AI, only 30% are prepared to scale – potentially slowing the momentum of the next wave of enterprise AI adoption.













