The Growing Challenges of AI, Impacting The Year 2025 | Trending 2025 | Data Enginering & Analtytics

Data of Recent Surveys
65% of companies are already using AI, and another 74% are testing it out. (Deloitte)
The scale of AI investments is predicted to be over $1 trillion in spending in the U.S. alone over the next five years.
So, what’s the actual problem?

The Problem Lies With,
Data Explosion
402.74 million terabytes.
That’s how much data is being created today.
The amount of data generated worldwide is growing exponentially. Over 90% of the world’s data has been created in the last two years.

The Next Challenge Is
Scalability
Do you know, the global data sphere is expected to grow to 175 zettabytes by 2025.
So, the need for AI-ready infrastructure becomes absolutely essential to handle the increased computational and storage demands.

Another Major Challenge Is
Reliability
A fact: In 2021, 76% of organizations experienced downtime due to data loss, with causes ranging from system crashes (52%) and human error (42%) to cyberattacks (36%).
Many AI applications rely on real-time data processing and decision-making. Therefore, to mitigate any downtime, you need high-performance computing equipped with state-of-the-art hardware and low-latency networks.

Okay, So How do you Overcome These Challenges?
Contact us at @spiralmantra and turn AI challenges into your competitive advantage.

We have;
Expert AI/ML consulting and implementation services
Effective data management solutions to handle growth
End-to-end project management and support


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