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Analytics

Breaking Down Data Silos With Cloud-Based Architecture: A Conversation With Kallol Dutta, Spark NZ

In this episode of "The Data Cloud Podcast," Kallol Dutta, Head of Transformation at Spark NZ, talks about the idea of the minimum viable data concept, Spark New Zealand’s vision for becoming a cloud software company, and why he considers himself a techno-optimist.

Special Episode: Data lakes drive next-gen AI infrastructure | MotherDuck

Get ready to think differently about modern data architectures as we sit down with George Fraser, CEO of Fivetran, and Jordan Tagani, CEO of MotherDuck, to explore recent evolutions of data management. They discuss MotherDuck’s innovative new connector built with Fivetran’s Partner SDK, reveal why local data processing on modern laptops is disrupting cloud-based processing and share insights on deploying AI workloads on data lakes.

Building and Scaling Gen AI Applications with Simplicity, Performance and Risk Mitigation in Mind Using Iguazio and MongoDB

AI and generative Al can lead to major enterprise advancements and productivity gains. By offering new capabilities, they open up opportunities for enhancing customer engagement, content creation, virtual experts, process automation and optimization, and more.

HIPAA EDI: Transactions sets in the Healthcare Industry

The Health Insurance Portability and Accountability Act (HIPAA), established in 1996, keeps individual health information private. It introduced HIPAA EDI (Electronic Data Interchange) Standards to secure electronic health data sharing among healthcare providers, insurers, and related entities. Healthcare EDI sets rules for how data should be formatted when electronically exchanged to ensure secure and efficient communication and reduce manual tasks.

Getting the Most From Your Modern Data Platform: A Three-Phase Approach

A robust, modern data platform is the starting point for your organization’s data and analytics vision. At first, you may use your modern data platform as a single source of truth to realize operational gains — but you can realize far greater benefits by adding additional use cases. In this blog, we offer guidance for leveraging Snowflake’s capabilities around data and AI to build apps and unlock innovation.

A Complete Guide to Legacy Application Modernization

Legacy systems have been important in the growth and success of several organizations. However, as these systems and applications age, they slow down and become increasingly costly to operate and manage. As per the U.S. Government Accountability Office, operating and maintaining legacy systems consumes over 80% of IT expenses. Organizations must scale and update these systems to accommodate their evolving business needs. This is where legacy application modernization can help.

Forecasting Metrics and KPI Forecasting with a Predictive Analytics Software

Forecasting Metrics and KPI Forecasting with Databox - a Predictive Analytics tool has never been easier. With Metric Forecast you can anticipate the future of your most important metrics, such as website traffic, sales revenue, or customer engagement. Adjust Forecasts for holidays, use confidence scores for reliability, and save forecasts to track performance. Say goodbye to guesswork in your digital metrics and start making more confident, data-backed decisions.

Insurance Legacy System Transformation With API Integration: A Guide

Insurers’ success has always hinged on their ability to analyze data effectively to price and underwrite policies accurately. While this analytical capability remains essential, outdated legacy systems hinder insurers from competing in a rapidly changing market. According to McKinsey, modernizing legacy systems can reduce IT costs per policy by 41%, increase operations productivity by 40%, improve claim accuracy, increase gross written premiums, and reduce churn.

How To Process and Tokenize Sensitive CSV Data With Integrate.io And Piiano Vault

In today’s digital landscape, securing sensitive information is paramount for industries like fintech, healthcare, and e-commerce. These sectors frequently handle sensitive data such as Personal Identifiable Information (PII), Card Holder Data (CHD), Social Security Numbers (SSN), and Personal Health Information (PHI). Ensuring data confidentiality and integrity is essential for regulatory compliance and maintaining customer trust.