EdgeChat™

Benefits

Instant insights

EdgeChat can give you insights into your data in seconds, rather than hours or days. This is because it uses AI to understand your questions, and to find the answers in your data.

Self-service

Once you have EdgeChat installed and connected, you can use it without any help from IT or data specialists. You can ask questions, explore data, create dashboards, setup notifications, or create periodical reports, all by yourself. No training required.

Works with your existing data

EdgeChat can work with any data storage that you have, whether it's a database, a data warehouse, a data lake, or spreadsheets. It can also work with data that is in motion, such as data streams and telemetry data, MQTT brokers, or your Unified Namespace architecture.

Reduce workload on IT

EdgeChat can reduce the workload on your IT department, by enabling non-technical users to get the data they need themselves. This can free up IT to work on more strategic projects, and to support the business by solving more complicated problems.

Reduce data silos

EdgeChat can help to reduce data silos in your organization, by enabling data to be shared more easily between departments, without the need for extensive documentation or knowledge hand-over. This can lead to better collaboration, and to better decisions being made based on data.

Keeps your data private

Queries and data processed by EdgeChat don't have to leave your premises. EdgeChat works directly on top of your local data storage, just like any person in a data analyst role would work.

Fosters data-driven culture

EdgeChat can help to foster a data-driven culture in your organization, by enabling data to be used more widely, and by enabling decisions to be made based on data. This can lead to better decisions, and to better outcomes for your organization.

Competitive advantage

EdgeChat can give you a competitive advantage, by enabling you to make better decisions. This can help you to respond more quickly to changes in your market, and to take advantage of opportunities as they arise. Your organization will make decisions faster than competitors who don't have access to AI-powered data analysis.

Conversational interface

Ask questions in plain English, and get answers in plain English. You can ask questions about your data, such as "What were the sales last month?" or "What is the reason for this month's increase in revenue?". EdgeChat will understand your question, and collect data to give you the answer.

Visual exploration

Explore your data visually, by asking EdgeChat to create charts, graphs, or tables. You can drill down into the details by asking for more information, or by asking for a different view of the data. You can also ask for a comparison between different data sets, or for a trend analysis.

Advanced analytics

Use advanced analytics features, such as machine learning models, to predict future trends, detect anomalies, or classify data. You can also use statistical functions, such as correlation, regression, or clustering, to analyze your data in more detail. You can also ask for the best statistical tooling to help you get the insights you need.

Real-time data

Work with real-time data by connecting EdgeChat to your data streams, telemetry data, or MQTT brokers. You can ask questions about the data as it arrives, and get answers in real-time. You can also set up alerts and notifications based on the data, to be notified when a plain-English defined condition is reached.

Periodic reporting

Set up periodic reports, such as daily, weekly, or monthly reports, to be sent to your email or chatbot. You can define the content of the report, the format, and the recipients. You can also ask for a summary of the report, or for a comparison between different periods. All in plain English.

Alerts and notifications

Set up alerts and notifications based on your data by defining the conditions in plain English. Get notified when a threshold is reached, or when a pattern is detected. You can receive alerts by email, SMS, or through a chatbot. You can further refine the alters, in plain English, by working in collaboration with the AI.

Dashboards

Create dashboards in plain English, either one query at a time or by asking the AI to create a dashboard for you. You can then refine the dashboard by asking the AI to add or remove elements, or to change the layout. You can also ask for parametrization of the dashboard, so you can filter the data in real-time.

Evidence-based results

Because all the queries and results are based on your data, you don't need to worry about hallucinations like with other LLM use-cases. The query results always point to the source of the data, so you can independently verify the accuracy or run the same query directly on the data source.