Cloudera

JANUARY 30, 2024

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. Quality: Use cases like visual inspection, yield optimization, fault detection, and classification are enhanced with AI technologies.

IoT 77

IoT Analysis Artificial Intelligence Artificial Inteligence 77

Sunflower Lab

OCTOBER 9, 2023

Contemporary machine-learning algorithms are able to derive conclusions from a variety of sources and discover trends in generated data, both of which are very useful in day-to-day work of Business Intelligence Analyst. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Infinidat

SEPTEMBER 18, 2018

To do that, let’s add a few more dimensions into the discussion: The Movement to a Data-Centric Architecture. Charlie Giancarlo from Pure Storage wrote an excellent blog about the architectural shift from “big compute” with large, legacy applications, to small, transient/stateless compute (e.g. Flash Prices are Dropping.

WAN 74

WAN Storage Firewall Data Center 74

Cloudera

NOVEMBER 17, 2022

HBL remains committed to its objective of client centric innovation and financial inclusion for all segments of society. . HBL started their data journey in 2019 when data lake initiative was started to consolidate complex data sources and enable the bank to use single version of truth for decision making.

Banking 81

Banking Data Architecture Analytics 81

Infinidat

MARCH 10, 2021

Successful digital transformation moves organizations towards much more data-centric business models where those that can best drive value for their customers and their own companies out of the data they collect are the winners.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Capgemini

MAY 6, 2020

In part one of this blog, I suggested that retailers and consumer-packaged goods companies drive performance through a speed-of-insight approach to data governance. Many aspects of data management evolved in recent years, such as big data, data lakes, cloud-based storage and compute, self-service analytics, data streaming, AI/ML, etc.

Government 80

Government Data Retail Analytics 80