erwin

AUGUST 31, 2023

Q: Is data modeling cool again? In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data. The approach offered lower risks and allowed for comprehensive platform and application testing.

Data-driven 77

Data-driven Analytics Insurance Big Data 77

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility. Streamlining operations with advanced analytics to preempt issues.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. The Opportunity of 5G For telcos, the shift to 5G poses a set of related challenges and opportunities.

Data-driven 75

Data-driven Data Architecture Predictive Modeling Digital Transformation 75

Smart Data Collective

JANUARY 10, 2023

More small businesses are leveraging big data technology these days. One of the many reasons that they use big data is to improve their SEO. Data-driven SEO is going to be even more important as the economy continues to stagnate. Data-driven SEO will be one of the most important ways that they can achieve these goals.

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Data-driven Data mining Big Data Optimization 103

Smart Data Collective

SEPTEMBER 8, 2021

More and more businesses and organizations treat data as an essential asset. The importance of managing and leveraging data cannot be overestimated. The problem is that data can easily take enormous proportions. Thus, finding and isolating relevant data is a daunting task. AI-Powered Tools Can Speed Up Data Analytics.

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Data-driven Data Analytics Analytics Marketing 129

IBM Big Data Hub

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. All this reduces the risk of a data leak or unauthorized access.

Risk 93

Risk Modeling Cost-Benefit Enterprise 93

Cloudera

MAY 30, 2024

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. What are some of the reasons that TAI Solutions’ customers choose Cloudera?

Data Analytics 79

Data Analytics Risk Management Digital Transformation Analytics 79

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

IBM Big Data Hub

SEPTEMBER 11, 2023

The bulk of these uncertainties do not revolve around what software package to pick or whether to migrate to the cloud; they revolve around how exactly to apply these powerful technologies and data with precision and control to achieve meaningful improvements in the shortest time possible.

Data-driven 86

Data-driven IT Measurement Cost-Benefit 86

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111

Risk Modeling IT Risk Management 111

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 99

Risk Optimization Management Insurance 99

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101

DataRobot

OCTOBER 22, 2021

In part one of our “Five Ways AI Can Help States Solve Their Hardest Problems” blog series, we reviewed the ramifications of crisis response management—or lack thereof—and how AI can help. Their increased usage has also led to new challenges related to compliance, misuse, and fraud risk. WHITE PAPER. Download Now.

Risk 98

Risk Risk Management Data-driven Management 98

Alation

NOVEMBER 17, 2022

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? This requires: Data is embedded into the processes of the organisation.

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

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Data-driven Modeling Metadata Data Governance 138

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

IBM Big Data Hub

MARCH 25, 2022

A database is a crucial engine for a world becoming more data driven. Businesses are more heavily relying on smart insights and emerging patterns to succeed. Advancements in software and hardware had an interplay between the rising appetite for any organization making a data-driven decision.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70

DataRobot Blog

MAY 25, 2022

The DataRobot AI Cloud Platform can also help identify infrastructure and buildings at risk of damage from natural disasters. DataRobot combines these datasets and data types into one training dataset used to build models for predicting whether a building will be damaged in the hurricane. In 2017, Hurricane Harvey struck the U.S.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

CIO Business Intelligence

MAY 21, 2024

IBM has showcased its new generative AI -driven Concert offering that is designed to help enterprises monitor and manage their applications. IBM claims that Concert will initially focus on helping enterprises with use cases around security risk management, application compliance management, and certificate management.

Enterprise 82

Enterprise Management Data Lake Risk 82

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. By taking advantage of data, enterprises can shape business decisions, minimize risk for stakeholders, and gain competitive advantage.

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Data-driven Enterprise Data Governance Data Lake 57

Alation

DECEMBER 2, 2021

By Sebastian Kaus, Data Governance Lead, Vattenfall. Sebastian Kaus is an engineer and Data Governance Lead at Vattenfall, a leading European energy company. He helps people work more efficiently by bridging the gap between conventional engineering disciplines and innovative data-driven approaches. 5-minute read.

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Data-driven Data Governance Reporting Risk 52

Cloudera

MAY 18, 2021

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Risk 96

Risk Marketing Risk Management Data-driven 96

erwin

MAY 31, 2019

It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. That’s right. This is what we call the Mezzo.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

Smart Data Collective

AUGUST 31, 2020

Big data is the lifeblood of modern app development. App developers should also use data analytics to maximize their monetization opportunities. They are embracing new big data initiatives to find the best opportunities. They are embracing new big data initiatives to find the best opportunities. Ads Monetization Model.

Data-driven 102

Data-driven Modeling Advertising Big Data 102

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? Types of Model Risk.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Sisense

JANUARY 7, 2022

As businesses adapt to the pandemic and shift to new norms, risk mitigation strategies have become as normal and ubiquitous as having a fire escape in the office. Smarter, AI-driven learning and development initiatives will help mitigate risk in our rapidly evolving world. Minimising risk by ‘infusing’ AI.

Risk Management 52

Risk Management Risk Management Dashboards 52

DataRobot Blog

MARCH 7, 2023

DataRobot on Azure accelerates the machine learning lifecycle with advanced capabilities for rapid experimentation across new data sources and multiple problem types. This generates reliable business insights and sustains AI-driven value across the enterprise.

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Data-driven Machine Learning Experimentation Data Lake 59

Cloudera

DECEMBER 21, 2020

Hybrid cloud is the best of both worlds – it allows low latency in data transfer combined with high data security offered by on-prem with the low TCO of ownership of scalable advanced analytics solutions in the cloud. . Enhancing Online Customer Experience with Data .

Data-driven 91

Data-driven Data Strategy Strategy Cost-Benefit 91

DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Director, Data Analytics Team “We had some data issues.

Metrics 117

Metrics Software Cost-Benefit Testing 117

IBM Big Data Hub

JANUARY 9, 2024

These applications are designed to meet specific business needs by integrating proprietary data and help to ensure more accurate and relevant responses. This trend signals a move toward more efficient and personalized AI-driven business solutions. This synergy enhances productivity and cost-efficiency.

Data-driven 102

Data-driven Risk Modeling Marketing 102

Cloudera

MARCH 28, 2019

For all the advances in big data, machine learning and computational simulation in the decade since the global financial crisis, incumbent banks, still preoccupied with the twin imperatives of ever-tougher regulatory compliance and boosting shareholder returns, are playing catch-up in their adoption of new technologies. Risk management 3.0.

Risk 73

Risk Management Risk Management Machine Learning 73

CIO Business Intelligence

OCTOBER 25, 2023

Our recent data analysis of AI/ML trends and usage confirms this: enterprises across industries have substantially increased their use of generative AI, across many kinds of AI tools. In all likelihood, we will see other industries take their lead to ensure that enterprises can minimize the risks associated with AI and ML tools.

Enterprise 124

Enterprise Risk Manufacturing Finance 124

IBM Big Data Hub

MAY 1, 2024

AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-making. From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless.

Forecasting 80

Forecasting Optimization Digital Transformation Risk 80

Jet Global

NOVEMBER 23, 2020

Blogs to Read as a CFO. Are you looking for blog posts for CFOs by CFOs? His blog talks about his experiences as a CFO and gives perspective from both start-up and mature companies. As such, it should come as no surprise that they have a blog tailored to CFOs. Whitepapers and Guides. Tools and Calculators. Sample Reports.

KPI 52

KPI Finance Dashboards Data Processing 52

IBM Big Data Hub

JANUARY 22, 2024

Data centers are undergoing significant evolution. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective.

Data-driven 102

Data-driven Forecasting Consulting Marketing 102