Cloudera

OCTOBER 28, 2020

By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data.

Unstructured Data 68

Unstructured Data Data-driven Machine Learning Digital Transformation 68

Sisense

MARCH 9, 2020

In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions.

Data Integration 93

Data Integration Enterprise Slice and Dice Digital Transformation 93

CIO Business Intelligence

OCTOBER 3, 2023

Hyperautomation is a key enabler of digital transformation, often touted as being necessary for an organisation’s survival, but often hampered by economic pressures and talent shortages. Identify those processes that, when automated, will directly contribute to these value-driven objectives. trillion by 2026. .

Cost-Benefit 114

Cost-Benefit Machine Learning Interactive Software 114

Cloudera

JUNE 22, 2023

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. The top-line benefits of a hybrid data platform include: Cost efficiency. Simplified compliance. Improved scalability and agility. Flexibility.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

DataRobot

NOVEMBER 2, 2021

For many states, RPA has served as a foundational piece of innovation in an age of digital transformation. RPA alone does not account for the decision process and often operates on the back of unstructured data. In the hiring process, traditional RPA accomplishes two tasks: job applicant data collection (e.g.,

Unstructured Data 52

Unstructured Data Digital Transformation Data-driven Data Collection 52

bridgei2i

AUGUST 25, 2020

WEBCAST: AI Transforming the Future of a Digital. 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. Enterprise.

Enterprise 52

Enterprise Unstructured Data Digital Transformation Statistics 52

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

CIO Business Intelligence

JUNE 21, 2022

“In doing so, they may not properly involve their company’s governance teams, such as legal, compliance, and information risk management,” cautions Brian Mannion, chief legal and data protection officer at insights and data management platform provider Aware. Treating data like a waste product. Overlooking insider threats.

IT 113

IT Risk Measurement Risk Management 113

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

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

bridgei2i

AUGUST 2, 2020

Intelligent Operations: The engine behind Digital Transformation. Every step of this journey can be now reimagined, with what we call Artificial Intelligence (AI) driven Automation. Every industry could take a practical view of where intelligent automation could enable efficiency and digitization in its operations.

Digital Transformation 95

Digital Transformation Insurance Unstructured Data Cost-Benefit 95

IBM Big Data Hub

DECEMBER 1, 2023

IBM’s work with insurance clients, along with studies by IBM’s Institute of Business Value (IBV), show that insurer management decisions are driven by digital orchestration, core productivity and the need for flexible infrastructure. It also helps improve underwriting decisions, reduce fraud and control costs.

Insurance 104

Insurance Digital Transformation Unstructured Data Risk 104

IBM Big Data Hub

AUGUST 17, 2023

This year, innovation at the US Open was facilitated and accelerated by watsonx , IBM’s new AI and data platform for the enterprise. To achieve that, the US Open digital strategy team partners closely with IBM iX. Over 30 years in, IBM and the US Open continue to overcome new challenges and engage fans with new experiences.

Consulting 53

Consulting Digital Transformation Recreation/Entertainment Unstructured Data 53

Sisense

FEBRUARY 19, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Digital transformation is more than a buzzword. The best indicator is not the volume of data or the number of dashboards created.

Analytics 83

Analytics Digital Transformation Data-driven Measurement 83

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

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection.

Data Lake 73

Data Lake Cost-Benefit Digital Transformation Risk 73

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

IBM Big Data Hub

JUNE 21, 2023

IBM’s partnership with the All-England Lawn Tennis Club (AELTC) has driven digital transformation at Wimbledon for more than 30 years. The data was then used to train a large language model chosen from watsonx.ai , a next-generation studio for building and training generative AI models for business use cases.

Consulting 75

Consulting Unstructured Data Digital Transformation Modeling 75

Sisense

FEBRUARY 19, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Digital transformation is more than a buzzword. The best indicator is not the volume of data or the number of dashboards created.

Analytics 52

Analytics Digital Transformation Data-driven Measurement 52

Sisense

JULY 22, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways organizations tackle the challenges of this new world to help their companies and their customers thrive. Simplifying digital transformation.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

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-driven Data Science 54

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 Marketing Unstructured Data Data Science 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 92

IT Cost-Benefit Consulting Measurement 92

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 98

Digital Transformation Unstructured Data Strategy Experimentation 98

Alation

AUGUST 4, 2022

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? Yet the question remains: How much value have organizations derived from big data? Big Data as an Enabler of Digital Transformation.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

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

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

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

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

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 118

Cost-Benefit Technology Unstructured Data Testing 118