Archives: Resources Library

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Building a data to outcome application using Gathr – Marketing use case

In this demo, we will showcase how to build an end-to-end ML-powered ‘data to outcome’ application for data at scale, using a drag and drop approach. Hector from our product management team will demonstrate this using a sales and marketing use case; but the challenges, solution and benefits are applicable for all domains.

Evolving the DataOps pipeline to address fresh challenges

Modern data engineering processes—also known as DataOps pipelines—continuously integrate, transform, and prepare data for production deployment. Many organizations undertake DataOps modernization in conjunction with larger enterprise data platform modernization projects.

Watch this webinar to learn how you can implement modern DataOps pipelines seamlessly and ensure that your data is always accurate, relevant, and consumable. Discover how a next-gen, self-service data pipeline platform can help you embrace the DataOps paradigm and drive scalability, agility and growth.

Data to outcome journeys in a no-code, ML world: pitfalls, challenges and solutions

Measures to deal with large volumes of data from various sources and challenges enterprises face to turn it into actionable outcomes

The major roadblocks in the adoption of machine learning and how enterprises can equip/overcome them to accelerate ML usage across use cases

Various approaches to data-driven, no-code application development and identifying the ways to faster outcomes

The impact of skill gaps across teams on productivity and collaboration and countermeasures leading to higher skills diffusion

Building next-gen applications on a unified data platform

Cutting edge Data and AI applications are fundamental to achieving business success. Hence, the architecture underpinning your data applications is paramount. Winners will be those who can effectively and optimally unify data pipelines with AI & ml capabilities to build next-gen applications.

Let’s decode how data teams can collaborate and manage rapidly changing business requirements using a cloud-agnostic, low code, extensible data platform.

In the session you will learn how to:

  • Seamlessly connect, acquire, and integrate data from diverse sources, ensuring a unified data foundation for your applications

  • Infuse AI and machine learning into your data processing applications

  • Create blueprints for solving business problems and establish developer culture

  • Empower IT to move with the agility required to cater to ever-changing business needs

  • Capture changes in real-time from online operational data stores and sync with analytical stores

Exploring how a Fortune 100 financial institution enabled credit card approvals in real time

Financial institutions are constantly dealing with vast volumes of sensitive data and it’s crucial for them to process and act on this data in real time. In this presentation, we will discuss a real-life case study showcasing how Gathr enabled the implementation of data processing and machine learning on Spark, to accelerate the process of real-time credit card approvals.

Drawing from the experience of building a real-time credit card approval system for a leading bank, you will learn about modern data architecture, tools and methodologies, to streamline and accelerate your own data to outcome journey.

Achieve 50X faster outcomes from data at scale – using ML-powered, no-code apps

Data Engineers love data and business users need outcomes. How do we cross the chasm? While there is no dearth of data in today’s world, managing and analyzing large datasets can be daunting. Additionally, data may lose its value over time. It needs to be analyzed and acted upon quickly, to accelerate decision-making, and help realize business outcomes faster. 

Take a deep dive into the future of the data economy and learn how to drive 50 times faster time to value. Hear from United Airlines how they leveraged Gathr.ai to process massive volumes of complex digital interactions and operational data, to create breakthroughs in operations and customer experience, in real time.

The session will feature a live-demo, showcasing how enterprises from across domains leverage Gathr.ai’s machine learning powered zero-code applications for ingestion, ETL, ML, XOps, Cloud Cost Control, Business Process Automation, and more – to accelerate their journey from data to outcomes, like never before.

Anomaly detection with Machine Learning at scale

Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets. Machine learning for anomaly detection provides a promising alternative for the detection and classification of anomalies.

Find out how you can implement machine learning to increase speed and effectiveness in identifying and reporting anomalies.

In our webinar, we will discuss:

Accelerate your journey from data to decisions – a unified analytics platform for ETL, ML, and BI

Real-time insight-driven decision-making is a key enabler for enterprise digital transformation. But traditional ETL tools face multiple challenges in collecting, cleansing, and preparing data for analysis, which affect time-critical business decisions.

As data volumes increase exponentially, enterprises are looking for a modern analytics platform to implement high-performance ETL and BI on massive datasets. Gathr.ai and Kyvos Insights are helping top Fortune enterprises solve end-to-end use cases with real-time self-service data processing, machine learning, and business intelligence.

Join our webinar to learn how you can: