IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? Establish a data governance framework to manage data effectively.

Strategy 75

Strategy Business Objectives Cost-Benefit Consulting 75

Sisense

DECEMBER 23, 2019

This is both a daunting challenge and an inspiring opportunity, since effective use of AI and ML can cut through about 80% of data preparation (the annoying, routine stuff), leaving humans to handle the remaining 20%, the actual modeling and optimization. It’s also a better way to monetize your data in the short term.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

Anmut

MARCH 22, 2023

As such, rudimentary data is used for reporting purposes, but it doesn’t influence wider business operations or strategic decision-making. This stage is typical for organisations that are just starting to develop their data strategy. Data lineage is understood, but only partially mapped. What is your data worth?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Sisense

JUNE 25, 2020

The right use of data changes everything. Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. Delving deeper into the in-store experience. Kevin Johnson, Starbucks CEO.

Big Data 98

Big Data Data-driven IoT Marketing 98

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Strategy 142

Cloudera

APRIL 13, 2021

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. Before ML can become a catalyst for change, it must first be treated as an integral part of your data strategy. Optimize later. It’s a pie-in-the-sky statement that sounds great, right?

Machine Learning 97

Machine Learning Enterprise Experimentation Modeling 97

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Strategy 114

Strategy Data Science Marketing Unstructured Data 114

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. (Source: PwC). AI in Healthcare.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Applied analytics Business analytics Machine learning and data science.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Sisense

FEBRUARY 24, 2021

In this article, we explore the role and responsibilities of the chief data officer and the challenges they are facing. The role of the chief data officer. Not all organizations are at the same point in their data journey. Data space dimension: Traditional data vs. big data.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69