bridgei2i

AUGUST 25, 2020

Increased customer expectations and an explosion of data have propelled businesses to go increasingly digital. Modern-day enterprises are trying to Sense, Learn, and Act to use these data for better CX, OE, or to execute whole New Business Models. This is the way forward to a digital future. About the Webcast.

Enterprise 52

Enterprise Unstructured Data Digital Transformation Statistics 52

bridgei2i

OCTOBER 7, 2020

As face to face contact, operating offline offices, physical audits and ancillary processes face constraints; these increasingly move to the digital bandwagon. In days ahead, digital transformation will be the saviour and guide of the industry. Importance of capturing market data for optimized pricing models.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.

Data Warehouse 76

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 76

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Data Architecture 83

Data Architecture Data Strategy Risk Management Strategy 83

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 114

Strategy Data Science Marketing Unstructured Data 114

IBM Big Data Hub

JANUARY 16, 2024

Businesses are increasingly embracing data-intensive workloads, including high-performance computing, artificial intelligence (AI) and machine learning (ML). As companies fast-track their IT modernization to accelerate digital transformation and gain business advantage, a significant opportunity emerges.

IT 91

IT Cost-Benefit Consulting Measurement 91

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. This critical capability propels organizations forward in today's digital-first era.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Timo Elliott

JANUARY 22, 2019

We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. They bring insights to users rather than forcing users to unearth elusive trends, and provide more intuitive interfaces that make it easier to get the data people need to do their jobs.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

bridgei2i

APRIL 9, 2019

The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. Although the digital transformation of enterprises may seem challenging, it is not impossible. Automation.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

bridgei2i

MAY 7, 2019

The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. Although the digital transformation of enterprises may seem challenging, it is not impossible. Automation.

IoT 40

IoT Unstructured Data Finance Data-driven 40

bridgei2i

MAY 21, 2019

The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. Although the digital transformation of enterprises may seem challenging, it is not impossible. Automation.

Unstructured Data 40

Unstructured Data Sales Data-driven Finance 40

CIO Business Intelligence

AUGUST 1, 2023

Digital transformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. That’s my key advice to CIOs and IT leaders.

Digital Transformation 97

Digital Transformation Unstructured Data Strategy Experimentation 97

Sisense

JULY 23, 2021

During this period, those working for each city’s Organising Committee for the Olympic Games (OCOG) collect a huge amount of data about the planning and delivery of the Games. At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that. What is data democratization?

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

CIO Business Intelligence

JULY 6, 2023

The group was able to automate one process and then expanded the effort from there, according to Mark Austin, vice president of data science. Early on in its RPA initiative AT&T decided to combine the technology with data science to create smarter bots that leverage AI capabilities such as optical character recognition (OCR) and NLP.

Cost-Benefit 115

Cost-Benefit Technology Unstructured Data Testing 115

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52