Remove Data Solutions Remove Government Remove Unstructured Data
article thumbnail

Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

Unified data access, strong governance and robust security combined with technical expertise and a clear understanding of business objectives will be essential.” Financial services organizations need a modern data platform that allows them to anonymize data and share it without moving or copying it or risking the exposure of PII.

article thumbnail

2024 Governance Trends for Data Leaders

phData: Data Engineering

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. With that, let’s get into the governance trends for data leaders! No problem!

article thumbnail

Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . ModelOp — Governs, monitors, and orchestrates models across the enterprise. Process Analytics.

article thumbnail

Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. Security & Governance Leadership.

Banking 82
article thumbnail

Generative AI and Its Role in Innovation for Telecom Services

RandomTrees

The considerable amount of unstructured data required Random Trees to create AI models that ensure privacy and data handling. One of the most burning issues is customer churn, which occurs when customers are either dissatisfied or disengaged and then switch providers.

article thumbnail

The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.