Infuse the power of Edge Computing
Edge intelligence is referred to as a distributed computing paradigm where data is collected, analyzed and interpretation is drawn to capture it in content delivery networks. Modern edge computing software is beyond the power of artificial intelligence or machine learning as real-time data aggregators are used in them.
The new commercial edge computing services empower machines to make decisions based on locally harvested data instead of sending it to centralized cloudlets. It is a game-changing technology of deploying AI and ML on the heterogeneous computing system.
Common industry challenges
Are you not able to embed devices with the desired amount of hardware on the full-scale data center?
Do you want to reduce your human IT deploying cost?
Are you always worried about the security of your data center?
Are you facing problems in creating a unified architecture to target edge as well as traditional data centers?
Is lack of skilled professionals an issue for you?
Benefits of Edge Intelligence
Eliminate Bandwidth Issue
How SynctacticAI connects with Edge Intelligence?
Real-time data-driven decision making is the necessity of businesses to evaluate the factors behind increasing revenue and reducing cost. Sync Learn Edge Computing lets businesses target the variables and features – with just one click, deploy the solution into the production environment to start providing immediate results. Edge Intelligence and Sync Learn are the two perfectly fitted pieces of a jigsaw puzzle.
Various pipelines and learning models empower manufacturing, transportation, and other prime industries through the elements of Synctactic’s Sync Learn and Edge Computing offering.
The power to technology providers is availed to sort the problems of latency and increased costs.
Data sets can be automated by selecting the target variable and defining the goals to run multiple models parallel.
Maximize Customer Experience
The edge communication leads to the maximum customer satisfaction by increasing monetary profits, customizing services, reducing the data churn and helping in finding better capital outlays.