Generative Data Intelligence

Tag: data warehouses

Web 3.0 doesn’t need a blockchain revolution

Internet users want control over their data and visibility into how their data is being used. An evolution of today’s web, already mapped...

Data Fabric or Data Mesh: Can Financial Services Firms Benefit from Both?

This is a sponsored blog post by Saurav Gupta, Sales Engineer, InterSystems Financial services organizations are awash with data, and there’s a clear...

Solana Spiked over 40% following its Partnership with Google

Solana ranks #11, with a live market cap of $8,188,472,129 USD in the CoinMarketCap Disclosed its partnership with Google Cloud services The year 2022 has been...

The Cloud Paradox, and Four Ways Financial Services Firms Can Solve It (Steve Wilcockson)

Nowhere is cloud use being more dynamically adopted at the moment than in finance - just ask any cloud vendor, from hyperscaler to cloud...

Top 10 Data Extraction Tools in 2023

Are you looking for data extraction software? Look no further! Try Nanonets for free and automate data extraction in 15 minutes. Every company has...

Iceberg + Spark + Trino: a modern open source data stack for blockchain

1.The challenge for modern blockchain data stackThere are several challenges that a modern blockchain indexing startup may face, including:Massive amounts of...

How Financial Services Firms Can Set Themselves Up for Innovation Success

This is a sponsored post from Tim Fitzgerald, EMEA Financial Services Sales Manager, InterSystems. Innovation undoubtably will help firms keep up with...

The future of smart contract adoption for enterprises

Decentralized finance (DeFi) markets may have cooled down over the past year, but the technology powering these applications continues to advance. In particular, smart...

Implementing Amazon Forecast in the retail industry: A journey from POC to production

Amazon Forecast is a fully managed service that uses statistical and machine learning (ML) algorithms to deliver highly accurate time-series forecasts. Recently, based on...

Large-scale feature engineering with sensitive data protection using AWS Glue interactive sessions and Amazon SageMaker Studio

Organizations are using machine learning (ML) and AI services to enhance customer experience, reduce operational cost, and unlock new possibilities to improve business outcomes....

Build, Share, Deploy: how business analysts and data scientists achieve faster time-to-market using no-code ML and Amazon SageMaker Canvas

Machine learning (ML) helps organizations increase revenue, drive business growth, and reduce cost by optimizing core business functions across multiple verticals, such as demand forecasting, credit scoring, pricing, predicting customer churn, identifying next best offers, predicting late shipments, and improving manufacturing quality. Traditional ML development cycles take months and require scarce data science and ML […]

How Do You Approach Your Data in a New Way by Making It Smarter

In the era of rising customer expectations and savvier consumers, financial organisations are under increased pressure to provide customers with hyper-personalised experiences. In fact, more than half of customers expect

The post How Do You Approach Your Data in a New Way by Making It Smarter appeared first on Fintech Singapore.

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