IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 91

Strategy Data Architecture Cost-Benefit Reporting 91

CIO Business Intelligence

NOVEMBER 15, 2022

In order to meet ever-changing customer demands, it’s critical that companies understand why and how to successfully modernize their tech stacks in order to provide a top-notch customer experience. To learn how Rocket Software can simplify your mainframe modernization project, visit our modernization page.

Management 108

Management Data Governance Digital Transformation Risk 108

CIO Business Intelligence

SEPTEMBER 20, 2023

But the more challenging work is in making our processes as efficient as possible so we capture the right data in our desire to become a more data-driven business. If your processes aren’t efficient, you’ll capture the wrong data, and you wind up with the wrong insights. The data can also help us enrich our commodity products.

Data Lake 124

Data Lake Data-driven Dashboards Risk 124

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. How does Cloudera support the evolution to optimal? The data is protected but it is also accessible by the people who need it.

Metadata 78

Metadata Data Lake Optimization Modeling 78

Ontotext

FEBRUARY 12, 2024

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Enterprises should identify and adopt specific data mesh elements to achieve velocity.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

CIO Business Intelligence

NOVEMBER 29, 2022

trillion by 2025 — more than double what was spent in 202 As organizations amp up their digital transformation initiatives, which are critical for survival in today’s business climate, they must also consider how to modernize and migrate sensitive data and how it is managed and governed. Data Management

Data Governance 94

Data Governance Digital Transformation Forecasting Software 94

CIO Business Intelligence

OCTOBER 13, 2022

Data represents a store of value and a strategic opportunity for enterprises across all industries. From edge to cloud to core, businesses are producing data in vast quantities, at an unprecedented pace. And they’re now rapidly evolving their data management strategies to efficiently cope with data at scale and seize the advantage. …

Digital Transformation 107

Digital Transformation Strategy Marketing Cost-Benefit 107

IBM Big Data Hub

FEBRUARY 12, 2024

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. This trend grows stronger as organizations realize the benefits that come from the power of real-time data streaming.

Data-driven 84

Data-driven Cost-Benefit Uncertainty Technology 84

CIO Business Intelligence

MARCH 11, 2022

One of many complexity challenges when it comes to the modern IT landscape is that different functional areas and IT domains are heavily invested in their own systems and data silos. The silo problem expands even further when you consider that different functional areas gravitate to using their own data and systems.

Digital Transformation 81

Digital Transformation Data Strategy Enterprise Risk 81

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

AWS Big Data

MARCH 14, 2024

VMware Tanzu CloudHealth is the cloud cost management platform of choice for more than 20,000 organizations worldwide, who rely on it to optimize and govern their largest and most complex multi-cloud environments. The unwavering reliability of Kafka aligns with our commitment to data integrity. We hadn’t updated Kafka version 2.0.0

Management 104

Management Insurance Optimization Strategy 104

CIO Business Intelligence

OCTOBER 13, 2022

Yet one way to simplify transformation and accelerate the process is using an industry-specific approach. Any vertical modernization approach should balance in-depth, vertical sector expertise with a solutions-based methodology that caters to specific business needs. Consider the critical area of security controls, for example.

Insurance 101

Insurance Data Warehouse Manufacturing Forecasting 101

CIO Business Intelligence

DECEMBER 19, 2023

It ensures seamless operations, whether that’s optimizing production lines, facilitating stock trading in microseconds, or connecting citywide systems for efficient governance. A common application of AI in networking is the use of AIOps to simplify network management. How does NTT DATA make it happen?

Manufacturing 97

Manufacturing Optimization Reporting Consulting 97

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Analyze your metadata.

IT 133

IT Metadata Data-driven Data Governance 133

Alation

JULY 15, 2022

Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. How often do you think about ethics? I asked attendees: How often do you think about data ethics?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

CIO Business Intelligence

SEPTEMBER 14, 2023

The Power of VMware Cross-Cloud Managed Services VMware Cross-Cloud managed services represent a step change in how VMware customers can leverage highly capable, validated and specialized managed services partners. This prescriptive approach simplifies operations, reduces complexity, and improves overall efficiency.

Management 75

Management Cost-Benefit Optimization ROI 75

IBM Big Data Hub

JANUARY 9, 2024

Struggling with the limitations of conventional approaches, you recognize the imperative to embrace IT-as-a-service to stay ahead, with the infusion of AI becoming the catalyst for change. Building confidence in safeguarding data Data is the lifeblood of modern businesses, but its movement must be safe and compliant.

Digital Transformation 71

Digital Transformation Business Driver Optimization Strategy 71

CIO Business Intelligence

JANUARY 4, 2024

In the fast-evolving world of finance, data security is of paramount importance. Financial institutions must ensure the protection of sensitive personal information, most commonly payment card data, to maintain, trust and meet various regulatory requirements. However, a CCA simplifies this process.

Optimization 99

Optimization Cost-Benefit Reporting Enterprise 99

AWS Big Data

APRIL 17, 2024

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. times better price-performance than other cloud data warehouses. Let’s look at how each of these delivery models work in practice.

Data Warehouse 91

Data Warehouse Analytics Cost-Benefit Modeling 91

CIO Business Intelligence

FEBRUARY 5, 2024

Mohamed Salah Abdel Hamid Abdel Razek, Senior Executive Vice President and Group Head of Tech, Transformation & Information, Mashreq explains how the bank is integrating advanced technologies and expanding its digital footprint. How did these changes help improve your business performance last year?

IT 118

IT Digital Transformation Cost-Benefit Technology 118

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. present a significant barrier to adoption of the latest and greatest approaches.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

DECEMBER 13, 2022

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. business, IT, data management, security, risk and compliance etc.)

Data Analytics 101

Data Analytics Strategy Analytics Metrics 101

IBM Big Data Hub

AUGUST 3, 2023

IBM Cloud provides a powerful solution with its Infrastructure as Code (IaC) capabilities and the adoption of a shift-left approach to compliance. IBM Cloud deployable architecture incorporates various controls to ensure the security, governance and compliance of applications and services deployed.

Cost-Benefit 69

Cost-Benefit Risk Testing Software 69

CIO Business Intelligence

SEPTEMBER 7, 2023

CIOs are taking deliberate action by proactively matching workloads and applications with the ideal cloud, and companies are also seeing a proliferation of multi-cloud architectures created by mergers and acquisitions, data sovereignty needs, support for remote work, and shadow IT. There are also challenges.

Enterprise 93

Enterprise Management Cost-Benefit Optimization 93

Cloudera

JUNE 22, 2023

These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change. The top-line benefits of a hybrid data platform include: Cost efficiency. Simplified compliance.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

CIO Business Intelligence

APRIL 14, 2022

With data-driven decisions and digital services at the center of most businesses these days, enterprises can never get enough data to fuel their operations. But not every bit of data that could benefit a business can be readily produced, cleansed, and analyzed by internal means. Who needs data as a service (DaaS)?

Enterprise 133

Enterprise Marketing Measurement Reporting 133

CIO Business Intelligence

SEPTEMBER 29, 2022

The focus is on all key elements needed to deliver a required capability, while facilitating overall governance. Doing so reduces complexity, breaks down data silos, and ultimately delivers a better user experience. However, while composability de-risks and simplifies digital transformation, it can be challenging to achieve.

Digital Transformation 111

Digital Transformation Cost-Benefit Risk Software 111

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.

Data-driven 57

Data-driven Enterprise Data Governance Data Lake 57

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 89

Data Warehouse Data-driven Machine Learning B2B 89

CIO Business Intelligence

NOVEMBER 1, 2023

Previously, we didn’t have access to all the data about our customers because we didn’t have the direct customer contact,” says Altehed. How these sweeping transformations affect the digital organization stem from major changes to the system landscape in all areas of operation. But even with great advantages came disadvantages.

Software 128

Software Testing Digital Transformation Management 128

erwin

AUGUST 20, 2020

It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. This means organizations have a better understanding of what can and should change – and how. In the age of data-driven business, the most common EA use cases are: Digital Transformation.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. ” Examples of AI bias from real life provide organizations with useful insights on how to identify and address bias. .”

Advertising 74

Advertising Machine Learning Data Architecture Cost-Benefit 74

CIO Business Intelligence

MARCH 21, 2024

To buck the trend, Lovelady prioritized meeting with all senior executives upon his arrival: to sell his strategic plan, share how he planned to make improvements, and most importantly, state his intention to earn their trust by establishing a relationship based on frequent and transparent communication. This kept top talent on the sidelines.

IT 111

IT Manufacturing Risk Management Risk 111

CIO Business Intelligence

OCTOBER 27, 2023

The volatility of the travel market, the inability to know how long the pandemic would last, and pressure from travellers made Lufthansa Group realize that existing customer experience methods needed to modernize. “We We believe the differentiator is your own data.”

Digital Transformation 121

Digital Transformation B2B Measurement Modeling 121

AWS Big Data

APRIL 3, 2024

Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases.

Data Lake 91

Data Lake Snapshot Metadata Data Architecture 91

IBM Big Data Hub

FEBRUARY 5, 2024

Security: Leading cloud providers offer secure environments that comply with applicable industry standards and government regulations. A cloud migration strategy should consider many different factors, including overall migration goals and how to avoid downtime.

Management 70

Management Cost-Benefit Strategy Risk 70