Yesterday’s emerging tech is now essential for business success – and the next wave is coming rapidly. In the next five years, which, which, to maintain competitive advantage, preferred companies to think right now?
In Venture Bats Change 2025Associate Professor of Computer Science at Stanford, SAP Research and Innovation, the head of the SAP Research and Innovation, spoke with the leading Susan Atlioner, senior director, strategy and thinking about the strategies needed for yesterday’s change technology.
How will the future of the current landscape form the future
The fourth generation of AI – Generative AI -AI, indicates a sample shift for the AI -AI -Table, an outline of three major places in which it is producing significant prices and disruption in the enterprise, said Orion. The first is the user experience and how people interact with the software. The second application layer is automation – SAP has embedded about 230 AI capabilities and agents within its applications, and increased the number to 400 by the end of 2025, to increase production capacity and reduce costs. The third area is a platform – the basic engine that strengthens every enterprise – which raises new questions about the developer’s experience as well as confidentiality and confidence.
Orion summarized, “We see a lot of disruption around the UX, application and itself, which provides all tools to deal with this new treasure of options provided to AI businesses.”
For Bernsical, the big question is how can AI integrate with humans to advance the social value, rather than acts as a thief of human creativity and ease. A recent study has found that if the enterprise has developed AI tools as an increase in productivity, people will use them less than that if they are developed as an enhancing work.
“This is a huge home because we think about translating some of the extraordinary abilities of these systems into systems that value users, for organizations and others,” said Barnsical. “We need to think about how they are prepared.”
The business price should be in mind at the enterprise level, and that means that even at the time of the evolution of technology, AI in the enterprise needs to go beyond technology for technology. The most sexy new technology often provides the minimum price.
“What you are seeing today is the spread of many solutions that produces a great jumping avatar in amazing -looking movies, but its value: How do you help the enterprise reducing costs? How do you help the enterprise to increase production or increase revenue? He said. “This mentality is not fully present with AI. You always need to start with a business problem. Correct the amount you want to get.”
Predictions for the future of AI
Artificial General Intelligence (AGI) is a theoretical development in which AI will compete with or move beyond the ability to solve the human level and problem in most academic tasks. What is the future of AI, and the AGI, will be a great topic of debate over the next few years.
Bernsical explained this point on which AI can do any kind of academic work as well as an average person in a profession.
“In terms of a lot of white collar jobs that only need academic processing, I think we will make a lot of progress in the next five years,” said Barnskel. “I don’t think we are still ready. I think we need a lot of creative thinking what it will mean. What is it going to do with your workforce? I am very interested in how we think about workforce training and how do we want many people to provide meaningful jobs?”
The future of AI, the definition of AGI, is a huge thing, and we are not as close as we prefer, but along the way we will jump interesting technology, and see the pillars of six major obstacles: the next generation of AI is beyond its existing capabilities, data platforms, robotics, futures, and futures.
“The transformer architecture in this generation is nothing compared to the coming,” he said. “A new type of meta learning. AI is learning to prepare and create agents itself. Emotional Ai’s future, AGI’s definition, is a great thing.”
The future of the data itself is also important. We are approaching the limits of real-world data-even sources like Wikipedia have already been completely absorbed by AI models. In order to run the next jump in AI’s progress, artificial data generation and data quality must be improved.
Then there are robotics that are being prepared rapidly – we have learned from the recent innovation like DiPsic that you can “overwhelm” and install very powerful AI on the edge. Quantum will help create a paradigm shift in which we improve the process and run the simulation. And the future of the Enterprise UX will be another obstacle that will provide consumers with a new type of personalization, the screens will be adapted to specific contexts, and a great experience.
“My children’s generation is targeting manpower after 2030. What will be their UX sample?” Orion said. “They need emotional contact for screens. They need adaptive screens. It’s quite different from today’s work.”