Teradata (NYSE:TDC) introduced new options and productiveness enhancements to ClearScape Analytics, essentially the most highly effective, open, and related AI/ML capabilities out there at the moment. These new options are designed to allow the world’s most revolutionary organizations to maximise the ROI of their AI/ML investments and increase information science productiveness to attain enterprise outcomes quicker and extra effectively.
Lately, the elevated complexity of AI instruments and platforms coupled with the proliferation of information and analytic platforms has resulted in difficult and inefficient AI/ML processes. Consequently, firms are unable to derive full insights from their information and the price of AI operationalization at scale has risen. On the similar time, information scientists are underneath rising stress from their organizations to maximise productiveness and improve their AI output. Sadly, attributable to inefficiency in information preparation, guide machine-learning processes, and the overarching challenges of AI operationalization, information science productiveness is usually hampered. That is then exacerbated by the steep studying curve that accompanies the business’s quickly evolving instruments and methods.
With ClearScape Analytics’ enhanced options and performance, Teradata is addressing these challenges and enabling its prospects to appreciate their full AI potential. All Teradata VantageCloud prospects have entry to ClearScape Analytics and these updates.
New ClearScape Analytics Options & Performance
- Spark to ClearScape Analytics: Leverage Teradata’s device, pyspark2teradataml, to simply convert legacy pyspark code to Teradata machine studying, eliminating the necessity for information motion. Advantages embody:
- Scale back complexity and prices: Prospects who beforehand wanted to export information from VantageCloud to Spark platforms will now not want the expensive and cumbersome activity. They will work with transformed code in ClearScape Analytics.
- Operationalizing AI at scale: After conversion, prospects can leverage VantageCloud’s enterprise-grade workload administration, safety, and information integration that’s designed to operationalize trusted AI at scale and rapidly get AI/ML fashions into manufacturing.
- Enabling multi-cloud machine studying: Prospects can work in a real hybrid-cloud setting after conversion to allow them to get essentially the most of their Spark-based funding.
- AutoML: Designed to allow information scientists to robotically practice high-quality fashions particular to the enterprise wants of every group. Advantages embody:
- Time-savings and expanded consumer base: By automating mannequin coaching, Teradata is taking the time-consuming guide work concerned within the ML course of out of the equation and enabling non-technical enterprise customers to construct AI/ML fashions.
- KNIME Integration: KNIME, a whole no-code, low-code platform that permits customers to construct information science workflows, is built-in with Teradata VantageCloud and ClearScape Analytics. Advantages embody:
- Acceleration of AI initiatives and expanded consumer base: ClearScape Analytics customers are supplied with a free, open-source no-code interface that’s designed to be appropriate for quite a lot of technical and non-technical customers. AI initiatives are anticipated to be accelerated with the simplicity of KNIME and scalability of VantageCloud.
- New self-service UX enhancements: New widgets allow a self-service consumer expertise to entry quite a lot of queries and plotting. Advantages embody:
- Ease of use & self-service capabilities that’s designed to cut back errors: Customers can entry their information with no coding, thereby lowering the chance of dangerous code or coding errors.
- Teradata Open-source ML: ClearScape Analytics customers can run fashionable open-source machine studying features on VantageCloud. Advantages embody:
- Ease of use and scalability of open supply: Ease of use of open-source features on VantageCloud, scalability and efficiency for open-source features, and operationalization of skilled open-source fashions which can be saved in VantageCloud.
“We launched ClearScape Analytics almost two years in the past to assist our prospects maximize the worth of their information, unlock innovation, and navigate AI complexity,” stated Daniel Spurling, Senior Vice President, Product Administration at Teradata. “With these newest enhancements, we’re serving to information scientists streamline advanced processes by means of numerous self-service and automatic options which can be designed to permit AI fashions to get from coaching to manufacturing to enterprise-wide operationalization at scale, quicker and extra cheaply.”
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