Yesterday’s recent technology is now necessary for business success – and the next wave is coming quickly. To maintain a competitive advantage for the next five years, which innovations must now prioritize companies?
In VentureBeat’s Transform 2025Yaad Oren, global head of SAP Research & Innovation and Emma Brunskill, professor of computer science in Stanford, talked with the moderator Susan Etlinger, senior director of strategy and thoughts, Azure Ai Microsoft, about the strategies needed today, for the transformation technology of tomorrow.
How the current landscape shapes the future
The fourth generation AI – generative artificial intelligence – means a change in the paradigm in what AI brings to the table, said Oren, presenting three main places that brings significant value and disruption to the company. The first is the user’s experience and the method of interaction with the software. The second is the automation of the application layer – SAP set about 230 AI options and agents in its applications, and the plan will enhance this number to 400 to the end of 2025 to enhance performance and reduce costs. The third area is the platform – the basic engine that drives every enterprise – which raises recent questions about the experience of programmers, as well as privacy and trust.
“We see many disturbances in the field of UX, the application and the platform itself, which provides all tools for dealing with this new treasure of AI options for enterprises,” oren summed up.
For Brunskill, the most significant question is: how can artificial integration integrate with people to drive social value, instead of behaving like a thief of human creativity and ingenuity. The last study showed that if the company has developed AI tools as an enhance in performance, people exploit them much less often than when the task improved.
“This is a fairly large house when we think about how to translate some of the extraordinary possibilities of these systems into systems that drive value for customers, organization and others,” said Brunskill. “We must think about how they are formulated.”
The business value at the enterprise level should be at the highest level, added Oren, and this means that even as AI has evolved in the enterprise, it must go beyond technology for technology. The sexiest recent technology often provides the smallest value.
“What you see today is a spread of many solutions that create great avatars jumping in movies that look amazing, but value: how do you help companies reduce costs? How to help enterprises increase efficiency or revenues? How can you reduce risk?” He said. “This way of thinking is not fully with AI. You always have to start with a business problem. The value of the value you would like to achieve.”
Forecasts about the future of AI
Artificial general intelligence (Agi) is a theoretical breakthrough in which AI will match or exceed the possibilities of versatility at man level and solving problems in most cognitive tasks. The future AI and the definition of what Aga is will be a massive topic of discussion in the next few years.
Brunskill defines this point where artificial intelligence can perform any cognitive task at least the same as the average person in the profession.
“When it comes to a lot of white work, which simply require cognitive processing, I think that in the next five years we will make great progress,” said Brunskill. “I don’t think we are ready. I think we need a lot of creative thinking about what it will mean for industries. What will he do with your working force? I am very interested in how we think about retraining workforce and how we will provide significant work for many people. What new possibilities will we have?”
The future AI, the definition of Aga, is immense and we are not as close to as many people as Oren said, but along the way we will see electrifying recent technologies, and six main pillars of interference: the future of cloud architecture around its current possibilities, the future of data platforms, robotics, quantum computers.
“The transformer architecture in this generation is nothing compared to what is coming,” he said. “A new type of meta-tuning. AI learning the evolution and creating agents themselves. Emotional artificial intelligence. The future of AI, the definition of Aga, is great.”
The future of the data itself is also of key importance. We are approaching the limits of real data-naves sources such as Wikipedia have already been fully absorbed by AI models. To drive the next jump in the progress of AI, it will be necessary to generate synthetic data and improve the quality of data.
Then there is a robotics that develops quickly – we have learned from the latest innovations, such as Deepseek, that you can make “more out of less” and install a very powerful artificial intelligence on the edge. Quantum will lend a hand create a paradigm change in the scope of starting the optimization and simulation of the process. And the future of Enterprise UX will be another disturbance that will provide users with a recent type of personalization, adaptation of screens to a specific context and engaging experience.
“My children’s generation will go to the workforce after 2030. What will their paradigm UX be?” Oren said. “They need an emotional connection for screens. They need adaptation screens. This is completely different from what we do today.”