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The Tech world in 2024 was nothing less than a roller coaster ride, from the relentless advances in the generative AI to surprising moments such as the crowdstrike failure that surprise many.
These moments show how unpredictable the Tech landscape can be.
With the arrival of 2025, the Tech world hums with potential breakdowns that redesign the way we think about modern technology.
After spending decades in the industry for decades, I wanted to share some of my thoughts about what was ahead of us
Like the even more explosive growth of the generative AI and other developments that aim at how we think about technology.The seismic shift comes. The foundations of modern technology will be about to be rewritten.
And I'm not just talking about incremental improvements
I speak of a complete revolution. Get ready for the most transformative year in technical history.I see the following on the horizon.
More of the cloud
Cloud Computing experienced a successful series in 2024, with 45% of the companies “shifted at least half of their applications to public clouds”.
As expected, the dominant three
AWS, Microsoft Azure and Google Cloud kept your position as a public cloud provider of the choice.In 2025, however, we will look at the ultimate dominance of Multicloud strategies. According to Flexera researchers, this approach was gained in popularity in 2024.
Many companies now see the cost savings and the reliability of using several clouds. The hybrid cloud technology will also keep step
Especially with the re -emphasis on the cloud security.An integrated approach will help companies grow through the use of public clouds, which can offer greater security and control as well as faster response times.
We will also see the growth of decentralized cloud platforms next year. The need for affordable cloud services mainly promote their acceptance because they can help companies avoid the supplier closure.
Depin platforms will be of essential importance of many companies in the cloud -onboarding processes of many companies and fill the infrastructure gap.
The rise of the multimodal AI
The publication of GPT-4O teased the skills of the commercially available multimodal AI in 2024. This year the multimodal AI will be of crucial importance.
Users switch from text-based content to richer and interactive input and output options. Essentially, it will essentially only be sufficient to rely on generative AI.
Multimodal learning releases new possibilities for AI technology so that it can draw parallels and associate related text, audio, photos or videos.
By using various data sources, models can train and understand the results more precisely than ever before.
The agents -KI will have a significant impact in 2025. However, data protection and ethical questions will be major challenges for their popularity.
Generative AI has made itself well with text -based chatbots. However, we will see more improvements in the multimodal AI in different sectors.
Ki -Governance is coming
AI monitoring will be of crucial importance in 2025. The EU AI law begins in February 2025. Since the open source AI in the public sector becomes more popular, the focus will increase to quality assurance.
Data and AI governance are also the key to ensuring compliance with the official compliance and at the same time the distortion and security risk minimizes, since the limit between generative AI and reality becomes less clear.
Company organizations that adapt to Ki -Governance platforms will achieve more customer confidence and regulations for customer trust and regulation regulation.
Cyber security in the spotlight
Cyber security attacks increased last year. The story remains the same in 2025. We will see an escalation of cyber attacks that are now driven by AI.
Phishing attacks become even more personalized, since malignant actors use machine learning to identify and exploit weaknesses.
Deepfakes, Voice Spoofing (Vishing) and other social engineering attacks will continue to bypass identity tests and traditional security measures.
The establishment of a strong cyberattack mechanism operated by AI will be crucial for organizations to quickly find threats in 2025 and beyond.
Edge Ai for IoT
Traditionally, AI applications have rely on cloud-based central servers.
However, experts see an increase in EDGE computing editions, which means that AI algorithms and models run directly on edge devices more often in real time. This helps to reduce delays and improve data protection.
This is the key to applications in industries such as healthcare that enable faster and more precise diagnoses.
It can also help with monitoring and improving the production lines, looking for defective products and recognizing technical problems before they occur.
AI in IoT has already started with smart home devices. This includes personalized automation for household appliances, lighting and entertainment.
AI-powered surveillance and surveillance help home owners to recognize suspicious activities in real time. You can also draw attention to the right authorities.
The broader, complex applications of Edge Ai in IoT will mature much later.
Many IoT companies will also follow a hybrid approach. In this context, developers use EDGE AI computing for models that process sensitive data.
This also serves those who need real -time forecasts and data processing.
At the same time, the cloud manages more complex algorithms. These algorithms may not affect a few additional seconds of delay.
Rounding
The new year offers unique opportunities to rethink the strategies of the past and report to the upcoming challenges.
As a stakeholder, we are responsible for learning from the mistakes of recent years and use them as building blocks for the future.
By hugging the lessons of 2024, we can forge a lighter 2025.
Daniel Keller is CEO, President and co-founder of Influx Technologies Limited (Flux), the world's leading decentralized Web 3.0 cloud infrastructure platform. Daniel is a passionate advocate of disruptive technology and is known for his charismatic leadership and his future -oriented approach to changing innovations worldwide.
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