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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

The foundation for success is a data platform that allows flexible, cost-effective ways to access gen AI — whether organizations want to use off-the-shelf commercial and open-source large language models (LLMs), or fine-tune their own LLMs for more complex applications. They’ll prioritize data solutions that work across clouds.

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SAP Hadoop Bringing Unique Big Data Solutions

ProjectPro

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. “A doption is the only option.

Hadoop 40
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Deep Learning For Data Engineers

Data Engineering Podcast

Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams.

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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?

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The DataOps Vendor Landscape, 2021

DataKitchen

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Other Vendors Talking DataOps.

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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. Data for Good. And this year has seen some truly remarkable work put forward.

Banking 82
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Top Big Data Companies you need to Know in 2024

Knowledge Hut

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Thus, big data in big companies is used for various purposes.