Tools & Platforms
AI’s fourth wave is here — are enterprises ready for what’s next?

Yesterday’s emerging tech is now essential to business success — and the next wave is coming fast. To maintain competitive advantage through the next five years, which innovations must forward-thinking companies prioritize right now?
At VentureBeat’s Transform 2025, Yaad Oren, global head of SAP research & innovation and Emma Brunskill, associate professor of computer science at Stanford, spoke with moderator Susan Etlinger, senior director, strategy and thought leadership, Azure AI Microsoft, about the strategies needed today, for tomorrow’s transformative technology.
How the current landscape will shape the future
The fourth generation of AI — generative AI — marks a paradigm shift in what AI brings to the table, Oren said, outlining three major places it’s bringing significant value and disruption to the enterprise. The first is the user experience and how people interact with software. The second is automation on the application layer — SAP has embedded approximately 230 AI capabilities and agents inside its applications, and plan increase this number to 400 by the end of 2025, to drive increased productivity and reduce costs. The third area is the platform — the core engine that powers each enterprise — which raises new questions about the developer experience, as well as privacy and trust.
“We see a lot of disruption around UX, the application, and the platform itself that provides all the tools to deal with this new treasure trove of options AI provides to enterprises,” Oren summed up.
For Brunskill, the big question is how AI can integrate with humans to drive societal value, rather than acting like a thief of human creativity and ingenuity. A recent study found that if the enterprise framed AI tools as productivity enhancing, people will use them much less frequently than if they’re framed as task enhancing.
“That’s a pretty big take-home as we think about how to translate some of the extraordinary capabilities of these systems into systems that drive value for customers, for organizations and others,” Brunskill said. “We need to think about how these are framed.”
Business value at the enterprise level should be top of mind, Oren added, and that means even as technology evolves, AI in the enterprise needs to go beyond technology for technology’s sake. The sexiest new technology often delivers the least value.
“What you see today is a proliferation of many solutions out there that create great jumping avatars in movies that look amazing, but the value: how do you help the enterprise reduce costs? How do you help the enterprise increase productivity or revenue? How are you able to mitigate risk?” he said. “This mindset is not fully there with AI. You always need to start with a business problem. Quantify the value you would like to achieve.”
Predictions for the future of AI
Artificial general intelligence (AGI) is a theoretical breakthrough in which AI will match or surpass human-level versatility and problem-solving capabilities across most cognitive tasks. The future of AI, and the definition of what AGI is, will be a big topic of discussion in the next few years.
Brunskill defines it the point at which AI can do any sort of cognitive task at least as well as an average human in a profession.
“In terms of a lot of the white-collar jobs that just require cognitive processing, I think we’re going to make enormous strides in the next five years,” Brunskill said. “I don’t think we’re ready yet. I think we need to do a lot of creative thinking about what that will mean to industries. What is it going to do to your workforce? I’m very interested in how we think about workforce retraining and how we’re going to provide meaningful work to many people going forward. What new opportunities will we have?”
The future of AI, the definition of AGI, is a big one, and we’re not as near as many folks would prefer, Oren said, but along the way we’ll see exciting new technology leaps, and six major disruption pillars: the next generation of AI beyond its current capabilities, the future of data platforms, robotics, quantum computing, next-generation Enterprise UX, and the future of cloud architecture around data privacy.
“The transformer architecture in this generation is nothing compared to what’s coming,” he said. “A new type of meta-learning. AI learning to evolve and create agents by itself. Emotional AI. The future of AI, the definition of AGI, is a big one.”
The future of data itself is also critical. We’re approaching the limits of real-world data — even sources like Wikipedia have already been fully absorbed by AI models. To drive the next leap in AI progress, synthetic data generation and improving data quality will be essential.
Then there’s robotics which is evolving rapidly — we learned from recent innovation like DeepSeek that you can do “more with less” and install very powerful AI on the edge. Quantum will help create a paradigm shift in how we run process optimization and simulation. And the future of enterprise UX will be another disruption which will provide users new type of personalization, adaption of screens to specific context, and an immersive experience.
“My kids’ generation is going to hit the workforce after 2030. What’s going to be their UX paradigm?” Oren said. “They need an emotional connection for screens. They need adaptive screens. This is totally different from what we do today.”
Tools & Platforms
Canva drives AI experience in nation

China”s fast-growing digital economy and creative user base are reinforcing the confidence of global firms, and online graphic design firm Canva is intensifying its latest artificial intelligence-powered innovations in the market, a senior executive of the Sydney-based company said.
At this year’s China International Fair for Trade in Services in Beijing, Canva teamed up with Australian tech firm Sencity to set up an interactive AI-powered photo and design experience zone, attracting visitors to see firsthand how AI can simplify design processes and boost creative efficiency.
“The country has a rapidly growing digital user base with a strong passion for self-expression and creation, while placing great emphasis on user experience,” said Wang Kexin, general manager of Canva China.
Since its entry into China in 2018, the company has witnessed fast adoption backed by the market’s huge user base, she added. “The Chinese market is full of vitality and creativity, and it has always been one of the markets we value most.”
Chinese users have generated more than 600 million designs so far, with 10 new works created every second on its platform.
“Our operational experience in China may offer many insights for our headquarters in Australia due to its enormous user base and application scenarios. When the headquarters designs new products, a significant part takes into account experiences from the Chinese market,” Wang said.
On the corporate side, the executive said that the company has observed demand rising strongly from sectors such as smart manufacturing, retail, technology, education and hospitality.
“Over the past four years, Canva’s enterprise customer base in China has expanded by 800 percent. China is one of Canva’s most important markets. We aim to combine leading AI technologies with the real needs of Chinese users to make our models more attuned to the Chinese language and cultural context,” she added.
The company plans to further invest in the local market, mainly in three areas — optimizing AI experiences in Chinese, expanding localized content and templates and strengthening its open community ecosystem that connects creators, developers and enterprises, Wang noted.
Tools & Platforms
AI, IoT And Edge To Transform Digital Banking

The Forrester Research report, The Future of Digital Experiences in Banking, reveals how artificial intelligence (AI), the Internet of Things (IoT), and edge computing are poised to revolutionise digital banking over the next decade.
The analyst posits that as financial institutions transition these from merely assistive technologies to anticipatory and ultimately agentic experiences, trust and transparency will be paramount in fostering consumer adoption.
The findings reveal that key innovations are reshaping the banking landscape. AI-powered virtual assistants are set to enhance customer interactions, delivering multimodal, intuitive, and emotionally aware banking experiences.
Financial institutions will harness the power of AI to offer tailored insights, while IoT-driven intelligence will enable embedded finance, providing real-time financial recommendations based on predictive insights.
Furthermore, the advent of 5G and 6G technologies will facilitate instantaneous analytics through edge computing, optimising efficiency and scalability for banking services.
Zhi-Ying Barry, principal analyst at Forrester, emphasises the delicate balance banks must maintain while leveraging these advanced technologies.
“Banks in Singapore and Australia that are looking to leverage AI and experiment with agentic AI are treading very carefully,” she notes. “There could be higher-risk scenarios where errors could have significant negative consequences, such as financial losses and reputational damage.”
Barry highlights the proactive measures being taken by regulatory bodies, such as the Monetary Authority of Singapore (MAS) and the Australian government, which have introduced ethical guidelines to steer firms in the responsible design and implementation of AI.
As an example, Barry cites DBS Bank’s initiative to align its AI strategies with the FEAT principles, further complemented by its own PURE framework.
“It’s not uncommon to see banks establish AI task forces or steering committees to assess AI’s potential while ensuring human oversight.” Zhi-Ying Barry
The decision of consumers regarding which banks to trust will largely hinge on their confidence in AI technologies, the specific use cases presented, and their perceived risks.
Conversational banking is also highlighted as a vital evolution.
“Advancements in AI are set to further transform consumer interactions within financial services. The future of digital banking will be defined by modern, intuitive, and human-centred interfaces,” states Aurélie L’Hostis, another principal analyst at Forrester.
She elaborates on how AI-powered virtual assistants will enhance organisations’ understanding of consumer intent and emotions, allowing for more personalised and engaging interactions.
As the banking industry stands on the cusp of this digital transformation, the role of ethical governance and consumer trust will be crucial in navigating the future landscape.
Tools & Platforms
US Tech Giants Invest $40B in UK AI Amid Trump Visit

In a bold escalation of the global artificial-intelligence arms race, major U.S. technology companies are committing tens of billions of dollars to bolster AI infrastructure in the United Kingdom, coinciding with President Donald Trump’s state visit this week. Microsoft Corp. has announced a staggering $30 billion investment over the next few years, aimed at expanding data centers, supercomputing capabilities, and AI operations across the U.K., marking what the company describes as its largest-ever commitment to the region.
This influx of capital underscores a strategic pivot by tech giants to secure a foothold in Europe’s AI ecosystem, where regulatory environments and talent pools offer unique advantages. Nvidia Corp., a leader in AI chip technology, is also part of this wave, with plans to contribute significantly to the overall tally exceeding $40 billion, as reported by CNBC. The investments are expected to fund everything from advanced hardware to research initiatives, potentially transforming the U.K. into a premier hub for AI innovation.
The Strategic Timing Amid Geopolitical Shifts
Google’s parent company, Alphabet Inc., has pledged £5 billion ($6.8 billion) specifically for AI data centers and scientific research in the U.K. over the next two years, a move that could create thousands of jobs and add hundreds of billions to the economy by 2030. This comes alongside Microsoft’s push to build the country’s largest supercomputer, highlighting how these firms are not just investing capital but also exporting cutting-edge technology to address global AI demands.
Industry analysts note that the timing aligns with Trump’s visit, which is anticipated to foster stronger U.S.-U.K. tech ties post-Brexit. According to details from Tech.eu, Google’s commitment includes expanding facilities like the Waltham Cross data center, while Nvidia’s involvement focuses on chip manufacturing and AI model training, potentially accelerating developments in sectors from healthcare to finance.
Economic Impacts and Job Creation Projections
These announcements build on a broader trend where tech megacaps have already poured over $300 billion into AI globally this year alone, as outlined in a February report from CNBC. In the U.K., the combined investments are projected to generate more than 8,000 jobs annually, with Alphabet’s portion alone expected to add 500 roles in engineering and research, per insights from Tech Startups.
Beyond immediate employment boosts, the funds aim to enhance the U.K.’s sovereign AI capabilities, including a £500 million allocation for initiatives like SovereignAI, as highlighted in posts on X from industry figures. This could position the U.K. to compete with AI powerhouses like the U.S. and China, though challenges remain in talent retention amid a global war for AI experts, where top hires command multimillion-dollar packages.
Challenges in the Talent and Infrastructure Race
The talent crunch is acute; tech companies are battling for scarce expertise, with compensation packages soaring into the millions, according to a recent analysis by CNBC. In the U.K., investments like Microsoft’s $30 billion pledge, detailed in GeekWire, include training programs to upskill local workers, but insiders warn that brain drain to Silicon Valley could undermine long-term gains.
Moreover, the scale of these commitments dwarfs previous government efforts; for instance, the U.K.’s own £2 billion AI action plan pales in comparison, as noted in earlier X discussions on funding disparities. Yet, with private sector muscle from firms like Microsoft and Nvidia, the U.K. could leapfrog in AI infrastructure, provided regulatory hurdles don’t stifle progress.
Future Implications for Global AI Dominance
As these investments unfold, they signal a deeper integration of AI into critical sectors, potentially adding £400 billion to the U.K. economy by decade’s end. Reports from The Guardian emphasize that tech giants have already outspent governments on AI this year, raising questions about public-private power dynamics.
For industry insiders, this U.K. push represents a microcosm of the broader AI gold rush, where speed and scale determine winners. While risks like energy demands and ethical concerns loom, the momentum from these billions could redefine technological sovereignty in the post-pandemic era.
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