CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

NOVEMBER 21, 2022

In our most recent Rocket survey, 46% of IT professionals indicate that at least half of their content is “dark data”— meaning it’s processed but never used. A big reason for the proliferation of dark data is the amount of unstructured data within business operations.

Software 98

Software Management Unstructured Data Data Governance 98

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

Sisense

MARCH 26, 2021

Newly published research shows that companies aren’t getting the most out of their analytics. 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.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

CIO Business Intelligence

JUNE 28, 2023

The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. The team leaned on data scientists and bio scientists for expert support. That, in turn, led to a slew of manual processes to make descriptive analysis of the test results.

Digital Transformation 101

Digital Transformation Cost-Benefit Informatics Data mining 101

CIO Business Intelligence

FEBRUARY 10, 2023

Deploying new data types for machine learning Mai-Lan Tomsen-Bukovec, vice president of foundational data services at AWS, sees the cloud giant’s enterprise customers deploying more unstructured data, as well as wider varieties of data sets, to inform the accuracy and training of ML models of late.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

CIO Business Intelligence

FEBRUARY 23, 2024

Training for tomorrow Brizendine points out that the company’s overall AI strategy is tightly integrated with its data and analytics systems, which reside and run on a complex infrastructure that includes on-premises mainframes for specific-purpose workloads, SaaS applications, and use of both AWS and Microsoft Azure.

IT 122

IT Manufacturing Unstructured Data Strategy 122

CIO Business Intelligence

JULY 26, 2023

But in reality, some of the largest, most established realty franchises, such as Re/Max and Keller Williams, have made all the right moves, pursuing digital transformations built on the cloud and primed to make the most of emerging AI opportunities. Data Management, Digital Transformation, Machine Learning

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

bridgei2i

SEPTEMBER 23, 2020

She further explains how the traditional BI systems which offers data visualization and building data lakes of structured and unstructured data, compliant with KPIs and analytics infrastructure may not be adequate to handle the data explosion. Monica holds a Master’s degree in Finance from Delhi University.

Enterprise 97

Enterprise Unstructured Data Data Lake Digital Transformation 97

Cloudera

OCTOBER 28, 2020

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. Sample Customer Successes .

Unstructured Data 71

Unstructured Data Data-driven Machine Learning Digital Transformation 71

CIO Business Intelligence

JUNE 22, 2022

Digital infrastructure is based on data and supports End to End (E2E) data activities, including data collection and perception, real-time transmission and distribution, storage, computing and processing, mining, analytics, and decision-making. The Industry’s First Deterministic IP Network Solution.

Digital Transformation 105

Digital Transformation Internet of Things Manufacturing Unstructured Data 105

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 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Communication and political savvy: Data architects need people skills.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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. Improved scalability and agility. A phased approach to modernization.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

bridgei2i

NOVEMBER 25, 2020

Many of the underlying processes in insurance which had already started evolving due to the adoption of digital and intelligent automation across functions have scaled substantially in the post-COVID world. With direct selling becoming obsolete, salespeople must fall back on digital channels, backed by a robust automated underwriting process.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

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. Hyperautomation Challenges As with any new and transformative technology, successful deployment of hyperautomation is not without its challenges.

Cost-Benefit 121

Cost-Benefit Machine Learning Interactive Software 121

erwin

JANUARY 17, 2020

According to a 2018 survey by Tech Pro Research , 70 percent of survey respondents said their companies either have a digital transformation strategy in place or are working on one. And 60% of companies that have undertaken digital transformation have created new business models. The Advantages of NoSQL Data Modeling.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Cloudera

OCTOBER 21, 2020

The COVID-19 pandemic has upended expectations and is pushing the normally slow-and-steady insurance industry towards accelerated digital transformation. New processes, research, and data analytics are under pressure to help identify what should be paid, and what should not. Health data. Financial data.

Insurance 71

Insurance Unstructured Data Digital Transformation Cost-Benefit 71

bridgei2i

AUGUST 25, 2020

Enterprises are using the data-driven insights for functional transformation, pan-enterprise, and at scale. This is the way forward to a digital future. He underlines the explosion of data due to the adoption of digital and how modern-day enterprises are trying to make sense of the data. About the Webcast.

Enterprise 52

Enterprise Unstructured Data Digital Transformation Statistics 52

IBM Big Data Hub

SEPTEMBER 13, 2023

The term digital transformation gets so much play these days that it’s almost become a cliché But experts from Frost & Sullivan believe that for most organizations, there’s a sizeable gap between dream and reality. This is especially important in customer interactions.

Digital Transformation 99

Digital Transformation Consulting Unstructured Data Recreation/Entertainment 99

erwin

NOVEMBER 16, 2021

One key feature of erwin Data Modeler is the ability to generate code from a data model – this is a huge timesaver. Organizations are also adopting non-relational databases, such as Cassandra and MongoDB for the volumes of unstructured data that businesses generate.

Modeling 52

Modeling Unstructured Data Digital Transformation Business Objectives 52

Cloudera

JULY 29, 2022

Is yours among the organizations hoping to cash in big with a big data solution? Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Read on to be sure you set yourself up for success. .

Data Architecture 86

Data Architecture Data Strategy Risk Management Strategy 86

bridgei2i

FEBRUARY 28, 2020

Digital transformation could mean different things to different businesses. Let’s start with 2 news items that show how banks are transforming, digitally and literally: News 1: HSBC: HSBC Moves $20 Billion From Paper to Blockchain In One Of The Biggest Financial Deployments. Case in point, banks.

Risk Management 78

Risk Management Unstructured Data Machine Learning Digital Transformation 78

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 73

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 73

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. Images 1: Challenges before insurance in the post-Corona world.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

CIO Business Intelligence

JUNE 21, 2022

For many information-driven enterprises, data is their most valuable asset. Still, a surprising number of organizations continue to treat data as if it were nothing more than a waste product, alleges Chethan Laxman, digital transformation executive at Apexon, a Silicon Valley digital engineering professional services firm.

IT 116

IT Risk Measurement Risk Management 116

Cloudera

NOVEMBER 18, 2021

This included using NiFi to automatically collect and centralize documents consisting of unstructured data and then leveraging advanced natural language processing to extract tacit knowledge and perform sentiment analysis on unstructured text and images from more than 20 million documents. Industry Transformation.

Data Lake 75

Data Lake Cost-Benefit Digital Transformation Risk 75

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

bridgei2i

FEBRUARY 24, 2021

In our latest episode of the AI to Impact podcast, host Monica Gupta – Manager of AI Actions, meets with Sunil Mudgal – Advisor, Talent Analytics, BRIDGEi2i, to discuss the benefits of adopting AI-powered surveillance systems in HR organizations. Joining me today is Sunil Mudgal, Talent Analytics Advisor at BRIDGEi2i.

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 112

Slice and Dice Cost-Benefit Risk Data Governance 112

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Finance 98

Finance IT Software Reporting 98

Cloudera

JULY 26, 2021

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. hybrid or public, multi-cloud) and advanced analytical frameworks (e.g., data warehousing).

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

bridgei2i

APRIL 9, 2019

Although the digital transformation of enterprises may seem challenging, it is not impossible. One needs to embrace the transformation with a little patience and lots of learning to survive and thrive in the current landscape. Let’s discuss in detail how AI-enabled analytics can help the financial sector. Automation.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

Cloudera

AUGUST 30, 2018

You know by now that Cloudera Enterprise is the modern platform for machine learning and analytics optimized for the cloud. You could think of it as an insight factory, your innovation environment, and the engine that powers your digital transformation. The rest of this blog is focused on how Cloudera Enterprise 6.0

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Ontotext

DECEMBER 1, 2023

Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata. Starting with how text analytics and knowledge graphs complement each other, Ivaylo and Borislav further elaborated on the scenarios where LLMs can be useful.

Metadata 78

Metadata Sales Consulting Enterprise 78