Teradata (NYSE:TDC) introduced new options and productiveness enhancements to ClearScape Analytics, essentially the most highly effective, open, and linked AI/ML capabilities out there in the present day. These new options are designed to allow the world’s most progressive organizations to maximise the ROI of their AI/ML investments and increase information science productiveness to attain enterprise outcomes sooner and extra effectively.
In recent times, the elevated complexity of AI instruments and platforms coupled with the proliferation of knowledge and analytic platforms has resulted in sophisticated and inefficient AI/ML processes. In consequence, corporations 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 beneath rising stress from their organizations to maximise productiveness and improve their AI output. Sadly, as a result of inefficiency in information preparation, handbook 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 strategies.
With ClearScape Analytics’ enhanced options and performance, Teradata is addressing these challenges and enabling its clients to appreciate their full AI potential. All Teradata VantageCloud clients have entry to ClearScape Analytics and these updates.
New ClearScape Analytics Options & Performance
- Spark to ClearScape Analytics: Leverage Teradata’s software, pyspark2teradataml, to simply convert legacy pyspark code to Teradata machine studying, eliminating the necessity for information motion. Advantages embrace:
- Scale back complexity and prices: Clients who beforehand wanted to export information from VantageCloud to Spark platforms will not want the expensive and cumbersome process. They’ll work with transformed code in ClearScape Analytics.
- Operationalizing AI at scale: After conversion, clients 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: Clients 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 embrace:
- Time-savings and expanded consumer base: By automating mannequin coaching, Teradata is taking the time-consuming handbook 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 enables customers to construct information science workflows, is built-in with Teradata VantageCloud and ClearScape Analytics. Advantages embrace:
- 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 embrace:
- Ease of use & self-service capabilities that’s designed to cut back errors: Customers can entry their information with no coding, thereby decreasing the chance of dangerous code or coding errors.
- Teradata Open-source ML: ClearScape Analytics customers can run common open-source machine studying features on VantageCloud. Advantages embrace:
- 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 practically two years in the past to assist our clients 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 complicated processes by way 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, sooner and extra cheaply.”
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