Delivering a hyper-connected smart ecosystem is a powerful proposition, yet it presents many practical challenges. Integrating cloud services, IoT devices, APIs, AI-driven engines, and Enterprise Systems into an architecture creates complexity. Below is an overview of the critical challenges organizations are facing today.
1. Complexity of Integration
Integrating diverse systems, spanning from legacy ERP platforms to the most modern mobile applications, introduces architectural complexity, as each system leverages different workflows, formats, and communication protocols.
- Different technology stacks impede seamless communications.
- Manual integration means the development cycle can’t keep up for speed.
- Privilege escalation because of dependency chains presents risk and flexibility.
2. Data Governance at Scale
In a hyper-connected ecosystem, data is shared across multiple environments, such as a cloud, edge, or on-premise system.
- Other issues with data quality may arise as different systems do different things with different formats.
- Regulatory compliance gets more difficult with larger data sets.
- Real-time synchronization requires quality control rules for safeguards.
3. Cyber security vulnerability
Every new connection is an entry point to compromise; without strong encapsulation, increase risk to cybersecurity.
- APIs are entry points that can be used to override security to get unauthorized access to data.
- The more connected devices there are, the more exposure there is to compromise.
- Data movement only compounds the risk of leak or data breaches.
4. Heavy Infrastructure Footprint
Hyper-connected systems require the fastest, most scalable, and dependable infrastructure available.
- Low-latency networks are essential for streaming data in real time.
- Massive amounts of edge devices will need to be installed and maintained.
- Cloud environments require thoughtful planning for costs and resource allocation.
