CIO Business Intelligence

MAY 30, 2024

Using data and algorithms to imitate the way humans learn came into the scene in the 1980s, and this further evolved to deep learning in the 2000s. Accelerated computing has led to the creation and scaling of large language models that have now democratized AI, finding ChatGPT a place in the dictionary.

Data Quality 74

Data Quality Key Performance Indicator Digital Transformation Management 74

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. In most enterprises, data is needed and produced by many business units but owned and trusted by no one.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

CIO Business Intelligence

NOVEMBER 2, 2023

But the enthusiasm must be tempered by the need to put data management and data governance in place. The Salesforce report found that 87% of technical leaders say that advances in AI make data management a higher priority and 92% say that trustworthy data is needed more than ever before.

Data Strategy 120

Data Strategy Strategy Sales Data Governance 120

IBM Big Data Hub

DECEMBER 20, 2023

Read more about IBM’s AI Ethics governance framework Benefits of a successful AI strategy Building an AI strategy offers many benefits to organizations venturing into artificial intelligence integration. An AI strategy allows organizations to purposefully harness AI capabilities and align AI initiatives with overall business objectives.

Strategy 72

Strategy Business Objectives Cost-Benefit Consulting 72

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. 5 recommendations for a data strategy in the new multi-everything landscape.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Ontotext

MAY 16, 2024

There is a confluence of activity – including generative AI models, digital twins, and shared ledger capabilities – that are having a profound impact on enterprises. This is designed to identify business priorities and must be aligned with the data from initial use cases.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

Ontotext

SEPTEMBER 1, 2023

Terms related to GenAI such as hallucinations and Large Language Models (LLMs) have become lingua-franca for any and every business conversation. Generative AI refers to computational models that are trained on massive amounts of text data and output in the form of text, images, video, audio, new data, and even code.

Risk 52

Risk Modeling Data Quality Data Governance 52

BizAcuity

APRIL 1, 2023

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

O'Reilly on Data

JULY 28, 2020

You must detect when the model has become stale, and retrain it as necessary. The Marketing team built the first model, but because it was from marketing, the model optimized for CTR and lead conversion. Data Exploration and Experimentation. Modeling and Evaluation.

Marketing 361

Marketing Experimentation Metrics Testing 361

Alation

MARCH 14, 2023

It should make data available, maintain data consistency and accuracy, and support data security. Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64

CIO Business Intelligence

FEBRUARY 20, 2023

This certification requires deep understanding of Salesforce features and functionality, as well as the ability to model a role hierarchy, data model, and appropriate sharing mechanisms. Salesforce Application Architect A Salesforce Certified Application Architect designs and develops custom solutions on the Salesforce platform.

Consulting 58

Consulting B2B Cost-Benefit Sales 58