O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. The new category is often called MLOps.

IT 342

IT Testing Experimentation Software 342

bridgei2i

OCTOBER 3, 2019

BRIDGEi2i Analytics Solutions is pleased to announce that our flagship product BRIDGEfunnel was awarded the ‘Best Machine Learning/Artificial Intelligence Implementation’ at the recently concluded CYPHER 2019. Bangalore, October 1, 2019. Email: venkat.subramanian@bridgei2i.com.

B2B 40

B2B Contextual Data Consulting Machine Learning 40

AWS Big Data

APRIL 2, 2024

Additionally, data owners and data stewards can make data discovery simpler by adding business context to data while balancing access governance to the data in the user interface. Data consumers have more contextualized data at their fingertips to inform their analysis.

Metadata 91

Metadata Metrics Data-driven Modeling 91

Alation

FEBRUARY 20, 2020

It’s a truism that data is the most important asset in the 21 st century economy. But, today too many enterprises exist in a data fog, with poorly contextualized data scattered across millions of tables. Dispelling this data fog is one of the key challenges for the next generation enterprise.

Contextual Data 52

Contextual Data Data Lake Metadata Enterprise 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

Alation

JUNE 28, 2022

An active metadata management approach allows the metadata management framework to incorporate artificial intelligence and machine learning, removing the need for siloed workflows, typically contained in spreadsheets. Supports Strong Data Culture. Major changes often require reviewers at the business and enterprise levels.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Ontotext

AUGUST 31, 2023

This article is the first in a series of two where we discuss our perspective on what is considered a semantic knowledge graph, why it’s important (specifically in the context of AI and LLMs) and share how they can drive your enterprise goals forward. What is a knowledge graph?

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64

bridgei2i

AUGUST 28, 2019

A Penetration Maturity Quadrant (PeMa) study undertaken by Analytics India Magazine recognized BRIDGEi2i as a 'Pioneer'; A timely re-affirmation of our vision and ability to drive accelerated digital transformation for enterprises. Access the details of the quadrant here. We are a Team of WINNERS! BRIDGEi2i Point of View. Venkat Subramanian.

B2B 40

B2B Contextual Data Sales Consulting 40

bridgei2i

OCTOBER 7, 2019

BRIDGEpersona™ brings contextualized marketing to life for enterprises: Our proprietary AI accelerator Recommender matches customers with most suited actions – product/offer, channel & time to contact. Learn more about how BRIDGEpersona can help scale customer experience for your enterprise! Learn More.

Contextual Data 40

Contextual Data Consulting ROI Enterprise 40