In today’s fast-paced digital landscape, data is the backbone of decision-making. However, data volume challenges and slow data processing can severely hinder an organization’s ability to leverage insights effectively. Speedcast’s SIGMA Blended Edge AI combines the power of artificial intelligence to enhance data management and optimize network performance. By addressing the common bottlenecks associated with data management and processing, Blended Edge AI empowers businesses to make smarter decisions at scale.

A Unified Approach to Data Management

Traditionally, organizations struggled with integrating satellite feeds, IoT telemetry, and terrestrial-link metrics. This often involved managing separate geospatial, relational, and time-series data sources, compounded by outdated SCADA systems. The result? Fragile ETL pipelines that delayed insights and increased operational risks. Today, however, the average business ingests approximately 20 gigabytes of data per hour, a volume set to grow as operations expand.

Blended Edge AI utilizes real-time data streaming, which allows for rapid data visualization and eliminates the need for cumbersome custom scripts and batching processes. Instead of adhering to a traditional architecture of data processing, we now benefit from a continuous data integration pipeline that triggers events and dashboards in real-time. This shift not only enhances operational efficiency but also ensures that every system can communicate effectively.

Leveraging AI for Faster and Smarter Decisions

By employing advanced AI algorithms, organizations can rely on Blended Edge AI to gain deeper insights and drive smarter decisions in significantly reduced timeframe without all the manual data aggregation historically required. This capability is essential for businesses that rely on real-time data to inform their strategies. For businesses with remote site connectivity, Speedcast’s Blended Edge AI solution not only measures performance per WAN path but also steers traffic to guarantee committed information rates (CIR), ensuring effective bandwidth utilization.

Enhancing Reliability and Reducing Complexity

Satellite networks are notoriously prone to failures, more so than databases. To improve reliability, simplifying architecture is essential. Blended Edge AI acts as the “brain” of the system, providing stakeholders—from operations engineers to data scientists—with access to a single source of authoritative data. This consolidation reduces the time spent hunting for information, allowing teams to focus on actionable insights.

Optimizing Traffic Management

A key feature of Speedcast’s SIGMA Blended Edge AI is its ability to steer traffic based on cost per byte and to rate shape traffic according to GB usage. This functionality enables businesses to optimize their data flow, reducing unnecessary expenses and ensuring that critical applications receive the bandwidth they need. Additionally, the web interface allows users to select their preferred profile, simplifying the customization of settings to meet specific operational requirements.

 

Improved Performance Over COTS SD-WANs

Blended Edge AI represents a significant advancement over Commercial Off-The-Shelf (COTS) SD-WANs. By integrating AI-driven traffic management with traditional networking capabilities, organizations can achieve greater efficiency and reliability. This synergy not only enhances performance but also leads to reduced and more predictable costs, making it an attractive option for businesses looking to optimize their data management.

Alleviating IT Team Workload

Another significant advantage of Blended Edge AI is its ability to reduce the workload on customer IT teams. The SIGMA AI agent automates many routine tasks, freeing up valuable resources for more strategic initiatives. This results in a smoother operational flow and better user experience, allowing teams to concentrate on high-impact projects instead of getting bogged down by manual processes.

Beyond standard connectivity and network benefits, SIGMA’s Blended Edge AI solution offers a breadth of possibilities when it comes to aggregating and making sense of significant data volumes – demonstrated through real-world use cases such as:

  • Enhanced Decision-Making
    Automatically generate detailed reports on connectivity performance and costs, helping remote operations teams make informed strategic decisions.
  • Optimized Resource Allocation
    Analyze connectivity usage patterns to guide efficient resource distribution across remote sites, reducing waste and improving operational efficiency.
  • Proactive Outage Alerts
    Use trend analysis to predict potential outages and notify customers in advance, allowing IT teams to prepare contingency plans and minimize downtime.
  • Customized Connectivity Solutions
    Evaluate application usage to recommend tailored connectivity setups—such as firewall configurations or crew experience services—based on operational needs.
  • Cost-Effectiveness Analysis
    Provide insights into the cost-performance ratio of current connectivity solutions, enabling decisions like upgrading or downgrading service plans.
  • Long-Term Connectivity Strategy
    Collaborate with customers to build sustainable connectivity strategies using historical performance data and usage trends.
  • Customer Satisfaction
    Improve end-user experience—whether it’s guests on a cruise or staff on remote rigs—by ensuring consistent, high-quality connectivity.
  • Scalability
    Support business growth by offering data-driven insights into capacity planning and demand forecasting, making it easier to scale operations without overburdening IT teams.

SIGMA Blended Edge AI is transforming how data is handled, making slow data problems a thing of the past. By optimizing performance, improving visibility, and leveraging real-time insights, businesses can make better decisions and enhance user experiences.

Reach out to us today and discover how Blended Edge AI can empower your organization.