Mon.Aug 03, 2020

article thumbnail

Build a Natural Language Generation (NLG) System using PyTorch

Analytics Vidhya

Overview Introduction to Natural Language Generation (NLG) and related things- Data Preparation Training Neural Language Models Build a Natural Language Generation System using PyTorch. The post Build a Natural Language Generation (NLG) System using PyTorch appeared first on Analytics Vidhya.

Modeling 306
article thumbnail

OnCrawl Plugin Now Available to Connect Technical SEO to Data Science

Dataiku

This blog post was written by our friends at OnCrawl, an award-winning technical SEO platform that helps over 1,000 companies make smarter SEO decisions.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Move Fast – But Don’t Break Things

Teradata

Agile practices in the retail sector can deliver fast & compelling returns, but they can also lead to fragmentation, data silos, & unnecessary complexity. Learn more.

72
article thumbnail

End-to-end Supply Chain Orchestration for a CPG firm

bridgei2i

Case study: End-to-end Supply Chain Orchestration for a CPG firm. Business Context. The client is a leading CPG firm in a network of 3 manufacturing facilities and 12 commercial market entities with a portfolio of over 150 SKUs operating at +96% Service Level. It wanted to reduce variance in Weekly SL – from a (?, ?) of SL of (96%, 6%) to (96%,2%).

article thumbnail

Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

article thumbnail

Migrating BI Systems Doesn’t Have to Suck (that badly)

Octopai

How do you feel when you hear the words “BI system migration?” Do you begin visualizing yourself planted at your desk for the next, oh say, 100 years, growing old trying to deal with this massive project? You know it’s going to take you forever and it’s going to be extremely tedious as you’ve got to map out the data in your systems manually and try to figure out what needs to be migrated and what doesn’t.

article thumbnail

Improving Demand Planning Accuracy of a CPG Firm through Intelligent Automation

bridgei2i

Case study: Improving Demand Planning Accuracy of a CPG Firm through Intelligent Automation. Business Context. The client, a CPG firm, faced challenges in account planning involving demand, supply, inventory, finance, marketing and field sales organizations with incessant dynamics in fulfilment and revenue attainment. How BRIDGEi2i Delivered Value? BRIDGEi2i partnered with the client to integrate various sources of data and drive common granularity and visibility into sales and marketing plans.

Sales 52