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Market Guide for Multipersona Data Science and Machine Learning Platforms
Market Guide for AI in CSP Customer and Business Operations

HyperSense AI can help you...

Design impactful user-centric AI models

HyperSense AI helps enterprises identify business problems and design appropriate solutions.

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Create

Build Explainable AI (XAI) models 40X faster

HyperSense AI enables rapid prototyping of Explainable AI (XAI) models to solve complex business problems.

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Ideation

Deploy and monitor the ML models with MLOps

HyperSense AI enables the deployment of complex AI models into production to convert data into insights in real-time.

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Operationalize

Discover ideas and continuously innovate

HyperSense AI helps businesses continuously investigate, collaborate, and innovate through industry-leading AI applications.

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Innovate
Model Monitoring, Alerts and Recommendations

Streamline AI with MLOps

HyperSense AI Model Management is a one-stop solution covering all aspects of ML Operations (MLOps), such as model monitoring, alerts, and recommendations on model retraining to sustain model performance and robustness.

Discover MLOps

HyperSense AI Advantages

Our philosophy is to democratize, operationalize, and scale AI across the enterprise.

HyperSense AI is designed to accelerate enterprise-wide AI adoption, making AI accessible to everyone in the organization to foster innovation and growth.

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No code AI

No-Code AI for All

Widened AI access to everyone in the organization, regardless of their skillsets.

Unified single platform

Elastic and Scalable

Enhanced elasticity and scalability with an ability to deploy on any cloud and on-premises.

Streaming data analytics

Any Data Analytics

Supports hot, warm, and cold structured and unstructured data analytics and reacts in real time.

Fully composable

Fully Composable

Integration with existing tech stack to achieve plug-and-play capabilities and modularity.

AI in Telecom

Telcos are harnessing the power of AI to extract actionable insights to drive better customer experience. Download this eBook that explains the seven amazing ways telcos can leverage AI.

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HyperSense AI Benefits

 
 
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Begin the enterprise's AI journey by

Kick-start your enterprise's AI journey by augmenting business strategies with AI/ML and get higher ROI.

Augments businesses with

Augment your enterprise with AI/ML and empower business users to adopt AI and data scientists to be more productive.

Eliminate multiple-point solutions

Eliminate multiple-point solutions and adopt a unified platform to make better decisions.

Quickly prototype AI models

Quickly prototype AI models to roll out new product and services and improve profitability.

Rapidly prototype and deploy ML

Rapidly test and deploy ML models with an integrated end-to-end ML lifecycle platform to accelerate time-to-market.

Rapidly build AI models without

Build AI models without writing a single line of code through drag-and-drop capabilities and address the AI skill gap.

Accelerate AI adoption through

Accelerate AI adoption through ready-to-build use case templates through No-Code AI capabilities.

Make AI accessible to anyone in an

Derive higher value from your data infrastructure investments through a modular and composable platform.

Reduce infrastructure management

Reduce infrastructure management time, improve efficiency to accelerate data-to-insights.

Enable business users to build AI

Enable business users to become Citizen Data Scientists and align AI initiatives to business outcomes.

Improve decision-making through a

Streamline AI/ML workflows through state-of-the-art MLOps to improve accuracy of decisions.

Ensure transparency in decision

Ensure transparency in decision-making and eliminate bias through Explainable AI capabilities.

Accelerate the digital transformation

Leapfrog your digital transformation journey by democratizing AI across the entire data value chain.

Rapidly build AI models through

Build AI models without writing a single line of code through drag-and-drop capabilities and address the AI skill gap.

Innovate and scale business growth

Innovate and scale business growth with simplified data discovery and unified access to decision intelligence.

Improve data science team

Improve collaboration between multiple data science teams and scale AI experiments quickly and easily.

Continuously monitor and maintain AI

Derive higher ROI through robust Machine Learning lifecycle management practices using MLOps.

Make transparent, ethical, and

Make transparent, ethical, and responsible business decisions with an extensive AI Trust Framework.

Why HyperSense AI?

Highly intuitive no-code platform makes AI more accessible

HyperSense AI broadens data analytics and AI/ML avenues to business users and data scientists in an organization with drag-and-drop capabilities.

Assured concept to production of AI model within weeks

HyperSense AI deploys AI-critical production processes quickly and gets actionable insights from the data to make informed decisions.

Efforts reduced by 60%-80% for AI in production

HyperSense AI helps you build, test, and deploy AI models 40X faster than the traditional development techniques.

Drive adoption driving AI trust, using state-of-art MLOps

HyperSense AI deploys, monitors, and governs all your production models in one place and enables the AI governance through AI Trust and Governance framework.

Massively Scalable AI Models leveraging distributed computing

HyperSense AI lets you build and train machine learning models faster on a large volume of data by leveraging distributed computing.

no-code
AI models
Reduction in efforts
Mlops
distributed-computing

Awards and Recognition

A testament to our constant innovation in AI

Big Innovation
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Latest from our Blog

Unleashing the Potential- How Generative AI is Revolutionizing Telcos
Generative AI

Unleashing the Potential: How Generative AI is Revolutionizing Telcos

Payal is a Product Marketing Specialist at Subex, who covers Artificial Intelligence and its application around Generative AI. In her current role, she focuses on Telecom challenges with AI and its potential solutions to these challenges. She is a postgraduate in management from Symbiosis Institute of Digital and Telecom Management, with analytics as her majors, and has prior engineering experience in the Telecom industry. She enjoys reading and authoring content at the intersection of analytics and technology.
Machine Learning in Financial Markets: Applications, Effectiveness, and Limitations
Artificial Intelligence

Machine Learning in Financial Markets: Applications, Effectiveness, and Limitations

Payal is a Product Marketing Specialist at Subex, who covers Artificial Intelligence and its application around Generative AI. In her current role, she focuses on Telecom challenges with AI and its potential solutions to these challenges. She is a postgraduate in management from Symbiosis Institute of Digital and Telecom Management, with analytics as her majors, and has prior engineering experience in the Telecom industry. She enjoys reading and authoring content at the intersection of analytics and technology.
From Prototype to Production- Best Practices for Scaling Machine Learning Models
MLOps

From Prototype to Production: Best Practices for Scaling Machine Learning Models

Payal is a Product Marketing Specialist at Subex, who covers Artificial Intelligence and its application around Generative AI. In her current role, she focuses on Telecom challenges with AI and its potential solutions to these challenges. She is a postgraduate in management from Symbiosis Institute of Digital and Telecom Management, with analytics as her majors, and has prior engineering experience in the Telecom industry. She enjoys reading and authoring content at the intersection of analytics and technology.
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What Analysts Say

Subex is getting into the platform business and continue to focus on telecoms sector. They are ahead of many other vendors in their approach. It will all be about early traction to help shift their addressable market beyond RA and FM. I congratulate them on their ambition and good luck to them.

Justin Van Der Lande
Justin Van Der Lande
Principal Analyst, Analysys Mason

With the launch of HyperSense, Subex has joined the ranks of leading telco AI providers. By enabling non-technical employees to develop their own analytics, HyperSense can substantially expand the amount of AI analytics deployed at the carrier to improve marketing, care, and operations. HyperSense also builds in up-to-date AI governance capabilities.

Andy Hicks
Andy Hicks
Principal Analyst, GlobalData

With HyperSense, Subex aims to revolutionize the way AI is adopted in the telecom world. And since Subex is one of the top telecom analytics platform providers in the market, HyperSense is a true paradigm shift to a more open, AI-based, cloud-friendly, and inter-departmental style of extracting analytics value for telcos. I wish Subex the best in rolling HyperSense out.

dan-baker
Dan Baker
Research Director, Technology Research Institute

Enterprises and service providers have an accelerating demand for high-speed data tools that enable them to leverage underlying data to unlock greater agility, faster digital transformation, and new innovations,” says Scott St. John, managing editor at Pipeline magazine. “HyperSense represents the future of data analytics and digital trust, built upon Subex’s years of expertise with its ROC platform and its sophisticated application of AI, machine learning, and data analytics.

Scott St. John
Scott St. John
Managing Editor, Pipeline Magazine: pipelinepub.com

“AI is essential to transforming CSPs’ network and business operations. Omdia’s research for example shows that nearly 80% of CSPs see AI projects as important or very important IT for network operations for 2021. However, access to high quality data and AI skills present challenges regarding the execution of these projects. Capabilities within Subex’s HyperSense platform such as no-code programming, data management and AI studios and pre-packaged AI use cases can help CSPs scale their use of AI across the business to achieve their business objectives.”

Adaora Okeleke
Adaora Okeleke
Principal Analyst, Analysys Mason

Technologies we work with

HyperSense AI is built ground-up as a cloud-native, microservices-based containerized solution and supports CI/CD with continuous rolling updates. This ensures agility, scalability, and elasticity. It is built on the best and latest technologies and is scalable to cater to the expectations of 5G and digital reality.

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