CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

CIO Business Intelligence

APRIL 4, 2024

AI is showing up in every software package and in every technology, particularly generative AI,” says Dan Diasio, global AI consulting leader at EY, while some vendors, such as Microsoft, have made AI core to their software. Webster Bank is following a similar strategy. Data is the lynchpin to AI success,” says Nafde.

Enterprise 131

Enterprise Cost-Benefit Forecasting Sales 131

DataKitchen

APRIL 11, 2023

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. He shared a story from a talk at a large consulting company in India, where he was asked who his competition was. This includes working on data quality testing and structuring data for easy access.

Data Analytics 130

Data Analytics Analytics Cost-Benefit Data Quality 130

Ontotext

SEPTEMBER 15, 2020

‘Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. Connecting the data in a graph allows concepts and entities to complement each other’s description. Gather and analyze relevant data. Clean data to ensure data quality.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Domino Data Lab

MARCH 3, 2019

There are essentially four types encountered: image/video, audio, text, and structured data. That represents a significant shift in strategy and cloud providers stand to benefit. By November 2018, 43% reported that they planned to incorporate AutoML into their workflows sometime in 2019.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49