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Mindtech Launch Part Five in Synthetic Data Series, Assessing Synthetic Data’s Place on the Gartner Hype Cycle

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Thursday, October 13, 2022
Technology, Mobile, Wireless, Venture Capital, Professional Services, Software, Data Analytics, IOT (Internet of Things), Data Management, Artificial Intelligence, Global, Computer, AI, Chameleon, Mercia, Longstaff, Far East

Mindtech Global, developer of the worlds leading platform for the creation of synthetic data for training AI, has today revealed its view on where it believes synthetic data is on the hype curve.

Key Points: 
  • Mindtech Global, developer of the worlds leading platform for the creation of synthetic data for training AI, has today revealed its view on where it believes synthetic data is on the hype curve.
  • In the fifth instalment of the companys extensive guide to synthetic data, VP Product Management Chris Longstaff raises doubts about Gartners assessment of synthetic data as having reached the peak of inflated expectationsfuelled by technological advances as well as media hype.
  • Longstaff believes that label is potentially misleading, as it throws the synthetic images that companies like Mindtech are using to train merchant market visual AI models in with other variations of synthetic datasynthetic audio data or synthetic infrared data, for examplewhich are relatively nascent.
  • You can read part five of Mindtechs guide on synthetic data, providing practical tips for data engineers and real-world use cases for data training, here: https://medium.com/mindtechglobal/is-a-single-category-for-synthetic-dat...
    Mindtech Global is the developer of the worlds leading end-to-end synthetic data creation platform for the training of AI vision systems.

Synthetic Data Pioneer Mindtech Shares Details On Platform’s Intelligent Data Engineering Capability

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Wednesday, August 10, 2022
Venture Capital, Software, Networks, Data Analytics, Artificial Intelligence, Data Management, Professional Services, Technology, Mercia, Computer, Chameleon, Intelligence engine, Global, Efficiency, AI, Engineering, Medical device, Longstaff, Far East

In part three of Mindtechs synthetic data guide aimed at tackling visual AIs training problems, Chris Longstaff, VP Product Management, Mindtech Global, defines intelligent data engineering as the rapid, automation-assisted generation of relevant and accurate data.

Key Points: 
  • In part three of Mindtechs synthetic data guide aimed at tackling visual AIs training problems, Chris Longstaff, VP Product Management, Mindtech Global, defines intelligent data engineering as the rapid, automation-assisted generation of relevant and accurate data.
  • In this process, a synthetic data creation platformlike Mindtechs own Chameleon platformgenerates lifelike images of a specific scenario that engineers can turn into training data.
  • Creating datasets by intelligent data engineering is the only scalable approach.
  • You can read the full guide on Intelligent Engineering and how to eliminate irrelevant training data here: https://medium.com/mindtechglobal/how-to-boot-out-irrelevant-training-da...
    Mindtech Global is the developer of the worlds leading end-to-end synthetic data creation platform for the training of AI vision systems.

Part Two of Mindtech’s Synthetic Data Series Reveals How to Get the Ideal Mix of Synthetic and Real Data to Boost AI Accuracy

Retrieved on: 
Wednesday, July 27, 2022
Technology, Mobile, Wireless, Venture Capital, Other Technology, Professional Services, Software, Networks, Data Management, Artificial Intelligence, Real data type, Chameleon, Research, Synthetic, Longstaff, AI, Global, Computer, Medical device

Mindtech Global, developer of the worlds leading platform for the creation of synthetic data for training AI, has today released part two of its synthetic data guide aimed at tackling visual AIs training problems.

Key Points: 
  • Mindtech Global, developer of the worlds leading platform for the creation of synthetic data for training AI, has today released part two of its synthetic data guide aimed at tackling visual AIs training problems.
  • Its a how-to for resolving issues related to combining real-world images with computer-generated ones to optimise the performance of their AI model.
  • AI developers have become increasingly aware that feeding an AI network a compound of data generated by real-world and synthetic images is a sure-fire way to boost a networks precision.
  • Read the article Whats the ideal mix of Synthetic and Real Data to boost AI Accuracy here: https://medium.com/mindtechglobal/whats-the-ideal-mix-of-synthetic-and-r...
    Mindtech Global is the developer of the worlds leading end-to-end synthetic data creation platform for the training of AI vision systems.