AI That Speaks IT Replacement Page Artificial Intelligence for IT

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Leigh Wells Creative director

Ramona Walsh Marketing assistant

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Robyn Pope Budget analyst

Leigh Wells Sales director

Erick Osborne Supervisor

Florence Lloyd Account manager

Pete Perez Product marketing manager

Bonnie Caldwell SQL developer

Lynn Lawrence Chief of operations

Lucy Holmes Team leader

Jared Sullivan Supervisor

Kristen Page Manager

SysTrack Intelligence Package

AI is arguably the most important advancement in technology this decade. Nearly every aspect of business is being rethought in the context of AI’s capabilities and impact. That's why Lakeside introduced its SysTrack Intelligence Package - to revolutionize enterprise IT.

Having a lot of data is one thing. But well-structured data is even better for feeding the AI model so it can deliever relevant, contextual, and meaningful data intelligence.

The first step to gaining complete IT visibility is collecting endpoint performace data. Data collection at the endpoint provodes greater data fidelity about the digital employee experience and the health of the IT estate. Only Lakeside delivers:

Lakeside SysTrack is an endpoint monitoring platform that leverages an embedded AI engine and rich dataset to enable IT teams to proactively resolve complex issues. With the availability of the SysTrack Intelligence Package, SysTrack is now the only AI-powered DEX platform that allows IT teams to:

Lakeside leveraged its unparalleled collection of high-quality, well-structured IT data and proactive IT capabilities to create AI models purpose-built for IT. Its groundbreaking SysTrack Intelligence Package has revolutionized IT operations.

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It all comes down to data.

The better the data, the better the results.

What will you do with AI That Speaks IT?

Why data breadth, depth, history, and quality matter

When you give your AI better data, you can give everyone a better view.

Live data collection

15 seconds

24 Hours

3 Years

5 Minutes

Leigh Wells Creative director

Ramona Walsh Marketing assistant

Robyn Pope Budget analyst

Leigh Wells Sales director

Erick Osborne Supervisor

Florence Lloyd Account manager

Pete Perez Product marketing manager

Bonnie Caldwell SQL developer

Sonja Owen Team leader

Delores Strickland Marketing director

Guillermo Wilkerson Logistics coordinator

Jeremy Maxwell Account manager

now available

Collects performance, usage, system, and user data on each endpoint

every

Aggregates 10K data points to a local database on the endpoint

Sends sensor, health,and application data to the master server

Delivers system summary to the master database

Stores records for up to 3 years

Breadth refers to data collection related to the device performance of every endpoint in real-time, giving IT teams complete visibility across the IT estate. Depth refers to the amount of data collected from each endpoint to give IT teams a comprehensive look at the endpoint and its dependencies. History refers to multi-year data (i.e., three years) to enable IT teams to use data for strategic decision making or IT transformation projects. Quality refers to data that is well-structured and labeled so it is free of noise, leading to more relevant and trustworthy data intelligence from the AI model.

Discover more

Read the report

of IT decision-makers cited "limited availability of quality data for models" as the top challenge for AI implementation, according to Enterprise Strategy Group research.

31%

But how can AI really help enterprise IT teams solve their complex challenges and make their jobs easier?

See the future before it happens

Identify problems and get to the root cause of those problems before the end user notices an issue.

Ask a question, get a real answer

Use simple, natural language to query real-time and historic data to get results quickly.

Fix the right things faster

Apply the power of GenAI and SysTrack sensors to troubleshoot complex issues.

Learn why good data is so important for AI, what makes data trustworthy, and how to ensure data quality with human expertise in this white paper from Enterprise Strategy Group.