
Subex, a pioneer in Digital Trust, launches HyperSense, an end-to-end Augmented Analytics platform that helps enterprises make faster, better decisions by leveraging Artificial Intelligence (AI) across the data value chain.
Developed based on Subex’s extensive data analytics experience, HyperSense contains all the Augmented Analytics capabilities enterprises need in one flexible and modular platform. HyperSense’s unique no-code capabilities allow users without a knowledge of coding to easily aggregate data from disparate sources, turn data into insights by building, interpreting, and tuning AI models, and effortlessly share their findings across the organization.
First defined by Gartner, Augmented Analytics uses enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation. It empowers experts as well as non-data scientists by automating many aspects of data science, including model development, management and deployment of AI models.
AI is still in the early stages of meaningful adoption in most businesses. Enterprises eager to harness the promise of AI and machine learning technology typically encounter multiple roadblocks such as demonstrating proof of value through nimble pilots; the absence of an integrated AI and data stack, and a lack of AI skills.
HyperSense solves all these challenges through five powerful yet modular studios:
- Data Management Studio gives users one-place access to batch and streaming data across multiple data formats and lets them search, enrich, structure, and validate the data collected from across the business;
- Business Modelling Studio allows users to apply rules and run data audits in real-time, profile information, monitor and forecast business KPIs;
- AI Studio adds AI capabilities such as model building, model diagnostics, explainable AI, and hyperparameter tuning;
- Business Intelligence Studio visualises the data analytics output for fast insights and easy sharing;
- Process Automation Studio allows users to create actions and workflows to drive forward decisions based on the data insights.
HyperSense also includes a number of pre-built analytics use cases in marketing, finance, and technology verticals for enterprises to deliver ultra-fast results. In addition, customers can use the HyperSense platform to build their own tailor-made, AI-powered analytics applications.
The cloud-native platform can be integrated with existing data management infrastructures or implemented as a standalone, plug-and-play data analytics solution.
Suresh Chintada, Chief Technology Officer, Subex, comments: “Most enterprises struggle to implement AI with business value at its centre. Instead, AI initiatives are driven by data science teams, with little alignment between the priorities of business and IT. We developed HyperSense to address this – it gives organisations more autonomy, wider access to AI and machine learning, and puts more power into the hands of business users. With this game-changing platform, businesses will be able to truly democratise AI and turn data into reliable insights with greater speed and efficiency, supporting elastic business models and significantly accelerating their business transformation.”
HyperSense is a no-code, elastic, cloud-native platform built on open-source technology and can be deployed on-premises, in a hybrid infrastructure, or in any cloud environment. The platform is designed to help enterprises augment ROI from analytics and increase efficiency across the entire data value chain.


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)