A fundamental problem that prevents AI from reaching the broad market is the complexity of this technology, the challenges around its implementation, and usability. To enable more people to embrace AI, we must lower the barriers to AI adoption. Software vendors should build platforms that make AI simple to use. Enterprises customers need the right set of tools for business, operations, or LOB users. Tools that make using AI as easy as a drag and drop operation. The majority of existing AI platforms are designed for the experienced data science professionals. But what about the non-data science community? If you are a citizen data scientist such as BI developer or business analyst and would like to infuse AI in your applications, very limited options are available.
That changes with dotData 2.0, a platform designed for BI and analytics professionals.
So what’s new in dotData 2.0? In addition to significant UX upgrades, key updates include auto-balancing of accuracy and transparency, more accurate and interpretable auto-designed features, expanded out of the box connectivities and seamless model porting with dotDataPy and dotData Stream:
Moreover, features and models developed using Version 2.0 are deployable both on dotData Py as customizable Python end-points and on dotData Stream as real-time stream end-points.
These new updates significantly simplify AI and ML experience for citizen data scientists, augment analytical performance, and improve interpretability through AutoML 2.0.
Curious about dotData 2.0, check out our AI FastStart program here or schedule a demo to learn more.
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