The constant march of technological evolution shapes every part of our lives, from the way we live to how we run our most important organizations. Over the past few years, no technology has had a bigger impact on our world than AI and the big data that underpins it.
As data and AI technology evolves, businesses need to stay up to date with new developments if they want to make the most of the latest solutions and remain competitive.
To help you stay ahead of the curve, let’s take a look at some of the biggest data and AI trends to prepare for in 2025.
#1 AI will get smarter (and more reliable)
If you’ve used any of the publicly available generative AI solutions recently, you might have noticed that they can’t always be trusted to offer up accurate and authentic facts. This generation of AI solutions tends to get ‘creative’ when users want information, quotes, or statistics about a subject and often fails to back up this information when asked for sources. Several studies reported that OpenAI’s GPT-4 model’s overall accuracy had plummeted after its release, highlighting the need for big improvements.
Having to manually fact-check everything that GenAI churns out can seriously dent the productivity gains you can make by using these kinds of tools. But according to the minds behind GPT-5, that’s about to change.
On track for release in early 2025, ChatGPT-5 promises better language fluency, greater accuracy, and smarter contextual understanding, making it a real game-changer for businesses of all shapes and sizes.
#2 Autonomous AI agents will rise
Designed to operate independently, making decisions and taking actions in the real world without constant human intervention, AI agents are an exciting next step in the field of AI business solutions.
These autonomous agents are built to be proactive rather than reactive, distinguishing them from commonly used GenAI models, which are primarily focused on generating content based on specific prompts.
AI agents are capable of initiating actions and adapting to changing environments. They are goal-oriented, working towards broader objectives and making decisions to achieve predetermined goals that help their organization. They can also interact with the real world, controlling physical devices or making decisions that impact physical processes.
Thanks to their autonomous nature, AI agents have the potential to revolutionize how businesses operate. As well as boosting efficiency by automating routine tasks, autonomous AI agents can also significantly impact operations by analyzing vast amounts of data. Their ability to spot patterns and trends that humans may miss can lead to better decision-making, more personalized customer experiences, and the identification of new business opportunities. And best of all, they can take action to seize these opportunities without human intervention.
It’s still early days for autonomous AI agents, but their potential is immense. As the technology continues to advance, we can expect to see them playing an increasingly important role across multiple industries. According to Gartner, 15% of work decisions will be made automatically by agentic AI by 2028—up from zero this year.
#3 More AI laws and legislation will come into play
Tangible, accessible AI tools swept into our lives faster than global governments have been able to regulate them. But given how quickly these technologies have developed, and the damage that’s already been done by bad actors using things like deepfakes and AI-powered cybercrime tools, lawmakers are in hot pursuit.
In 2025, we’ll see more legislation being developed and implemented to regulate AI solutions. These regulations will likely seek not only to restrict the malicious use of AI to spread misinformation and defraud people, but also to protect privacy and personal data.
The United States Congress has introduced more than 40 AI-related bills in the last year, but as of yet, none have been enacted. But efforts are ongoing, with more than a quarter of states considering bills that would control the use of AI in the private sector.
In Europe, the world’s first AI regulation act is set to take effect in early 2025. The EU AI Act, a landmark piece of legislation, will be implemented in phases, with the first restrictions on prohibited AI systems taking effect next year. The Act will primarily target high-risk AI systems, such as those used in critical infrastructure, healthcare, and law enforcement. Organizations deploying high-risk AI systems will need to adhere to stringent requirements, including robust risk assessments, data quality standards, and transparency measures.
The Act will likely inspire other global lawmakers to craft their own data and AI-related regulations, with countries like Brazil, India, and South Korea already strengthening their data protection laws.
#4 Data-as-a-Service (DaaS) will revolutionize data management
DaaS (Data-as-a-Service) is becoming a key trend in big data, mirroring the rise of cloud-based services like SaaS and PaaS. DaaS simplifies data management by delivering data on demand through the cloud, bypassing the complications (and often prohibitive costs) of traditional data management systems.
DaaS is gaining traction thanks to its ability to make more of its data and even improve organizational agility. By providing access to high-quality, managed data without the need for extensive infrastructure setup and maintenance, DaaS empowers teams to make faster and more adaptable decisions. This is especially beneficial in industries where the ability to respond quickly to market changes is vital.
Perhaps most significantly, DaaS is trending because it democratizes data access, making valuable datasets accessible to businesses of all sizes without substantial upfront costs. This goes a long way towards leveling the playing field, particularly for smaller companies that might lack the resources for major data infrastructure investments.
#5 We’ll start harvesting data from every part of our lives
We already generate colossal quantities of data every single day, but when it comes to gathering data and making smarter decisions, you can never have too much.
That’s where ambient intelligence (AmI) comes in. Born from the integration of technologies like artificial intelligence, the Internet of Things, natural language processing, and machine learning, AmI creates a context-aware and responsive computing environment.
The goal of AmI is to make technology disappear into the background, providing services and information without requiring explicit user interaction. This can be achieved in all kinds of ways, including embedding small, low-cost devices in everyday objects, using sensors to understand a user’s location and activities, and enabling devices to understand and respond to human language, making interactions more intuitive.
Designed to bake technology into our surroundings seamlessly and unobtrusively, the technology feeds the resulting data back into businesses, giving them more information to help personalize experiences, improve productivity, and guide strategic decisions.
In practical terms, retailers might use AmI to identify items and their locations to do real-time stock checks, for example. This kind of real-time data processing will also help reduce the wastage of perishable items like food or medicines. Or clothing manufacturers could embed sensors in clothes that communicate with smart laundry devices to set the appropriate water temperature and machine mode.
As this technology becomes more operationalized and affordable, we’re likely to see more instances of it being used in industries like retail and healthcare in the coming year—yet another example of the growing value of data.
How to prepare your organization for tomorrow and stay competitive
As the technologies organizations depend on continue to evolve, so do the skill sets needed to gain maximum value from them. Keeping pace with these shifting skills and finding the right people to help achieve your data and AI-related objectives can be a tall order.
Revolent’s programs have been designed to help your business get access to the tech professionals it needs to thrive by delivering cost-effective, deployment-ready talent that’s trained to your unique needs.
Here’s how it works:
- We hire experienced IT talent from diverse backgrounds
- We put participants, known as Revols, through intensive, practically-focused training, producing delivery-ready Data Engineers
- We deploy the Revols to your organization, ready to make an impact and engage on projects from day one
- We continue to invest in their development throughout their deployment, tailoring their ongoing training to match your project needs
- At the end of their placement, the Revols can transfer to your team permanently, at no extra cost to you
If you need a low-cost, low-risk way to add certified Data Engineers to your team and make the most of your data, reach out to learn more about how Revolent can help.
