IBM Big Data Hub

NOVEMBER 7, 2023

Recent advances in areas like AI and quantum computing offer transformative potential for businesses, but may also bring new risks and security challenges. IBM is working to address these challenges and evolving threats by helping organizations support highly secure, resilient and durable storage through technology like Cloud Object Storage.

Risk 89

Risk Strategy Data Processing Technology 89

IBM Big Data Hub

APRIL 24, 2024

These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used. Learn how IBM OpenPages Data Privacy Management can improve compliance accuracy and reduce audit time.

Risk 92

Risk Measurement Data Governance Insurance 92

IBM Big Data Hub

FEBRUARY 22, 2024

IBM’s Enterprise Cloud for Regulated Industries Building on our expertise working with enterprise clients in industries such as financial services, government, healthcare and telco, we saw the need for a cloud platform designed with the unique needs of these heavily regulated industries in mind.

Enterprise 84

Enterprise Risk Data Processing Business Driver 84

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). How does Cloudera support the evolution to optimal? This is the balancing act of security.

Metadata 78

Metadata Data Lake Optimization Modeling 78

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

Cloudera

SEPTEMBER 26, 2023

These solutions include on-premises and public cloud offerings with the data management, security and governance needed to build an enterprise data and analytic big data solution. The post IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka appeared first on Cloudera Blog.

Technology 89

Technology IT Data-driven Data Architecture 89

Cloudera

AUGUST 30, 2022

This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. Cloudera refers to this as universal data distribution, as explored further in this blog post. Providers should also examine the data governance approach required to manage the chosen environments adequately.

Strategy 101

Strategy Data Strategy ROI Cost-Benefit 101

IBM Big Data Hub

FEBRUARY 1, 2024

Under such centrally governed systems, accountability needs to co-exist with privacy, while both need to respect the need for authorized audits. For example, the critical impact of CBDC infrastructure on the monetary supply implies that it should be governed by central banks.

Experimentation 106

Experimentation Modeling Finance Reporting 106

CIO Business Intelligence

APRIL 30, 2024

How you manage your time, emotions, and priorities during the transition impacts the opportunities, odds of getting offers, and your psyche. Martin Davis, CIO and managing partner at Dunelm Associates, offers these suggestions: Review your online presence, how you come across to others, and what your LinkedIn profile says about you.

IT 88

IT Technology Advertising Marketing 88

IBM Big Data Hub

NOVEMBER 14, 2023

How does Wazi as Service help drive modernization? ” This cloud-native development and testing environment for z/OS applications is revolutionizing the modernization process by enabling secure DevSecOps practices. One solution that is making waves in this landscape is “Wazi as a Service.”

Digital Transformation 107

Digital Transformation Testing Interactive Software 107

IBM Big Data Hub

AUGUST 3, 2023

This blog explores how IBM Cloud’s IaC, when combined with shift-left compliance practices, can help organizations enhance their cloud infrastructure and maintain a strong focus on compliance. Infrastructure as Code offerings from IBM Cloud IBM Cloud offers robust services to support Infrastructure as Code (IaC).

Cost-Benefit 76

Cost-Benefit Risk Testing Software 76

Smart Data Collective

JULY 7, 2022

This could help address some of the issues that have made it difficult for regulators to support legalization. The IMF has recently indicated that it might support bitcoin. This newfound support likely wouldn’t have arisen without new advantages brought on by AI technology.

Cost-Benefit 110

Cost-Benefit Finance Risk Technology 110

IBM Big Data Hub

NOVEMBER 27, 2023

That’s why we continue expanding the IBM and AWS collaboration, providing clients flexibility to build and govern their AI projects using the watsonx AI and data platform with AI assistants on AWS. .”* However, to be successful they need the flexibility to run it on their existing cloud environments.

Consulting 83

Consulting Software Optimization Metrics 83

IBM Big Data Hub

FEBRUARY 5, 2024

In this blog, we review the benefits of cloud migration and some common challenges organizations face, to help your organization better prepare for a cloud migration. Security: Leading cloud providers offer secure environments that comply with applicable industry standards and government regulations. a migration will be.

Management 71

Management Cost-Benefit Strategy Risk 71

Andrew White

JULY 5, 2023

I blogged recently about the high level of hype and confusion across Data and Analytics just a few months ago. Here is the original blog from March 2023: Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA. And both use cases, analytics and governance, are being sold a catalog of some kind.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Jen Stirrup

FEBRUARY 23, 2024

To achieve AI ambitions, organizations need data and a cyber-resilient data platform to support them, and this will mean a growing need for data observability. Data observability includes several concepts, and here are some examples: Data Freshness : How up-to-date is the data?

Data-driven 73

Data-driven Data Governance Data Quality Cost-Benefit 73

IBM Big Data Hub

DECEMBER 4, 2023

It offers ease of integration and scalability for analytics and AI workloads using your company’s data, and offers guardrails for ensuring governance, security and compliance. But we didn’t stop there: AI is too important, and building the right skills to support its rapid growth is vital.

Enterprise 86

Enterprise Risk Modeling Technology 86

Smart Data Collective

NOVEMBER 20, 2022

However, many companies still don’t know how to choose them. Support and Uptime. Your data center should be available to provide your company with quick and efficient support. A Service Level Agreement is typically used to govern this. Security is also an essential consideration for data centers.

Big Data 106

Big Data Advertising Marketing Technology 106

Cloudera

OCTOBER 24, 2023

But to truly drive transformation telcos must ensure AI models are driven by accurate, high-quality, trusted data, and determine how to manage and govern massive volume at scale. In addition to embedding AI to support back office (billing and payment processing, network operations, etc.)

Interactive 76

Interactive Data-driven Cost-Benefit Optimization 76

IBM Big Data Hub

DECEMBER 14, 2023

In this blog, we will explore the concept of cyber resiliency from an IBM® perspective and how our approach can help organizations protect themselves in an ever-changing cybersecurity landscape. Their expertise in developing secure systems ensures that proactive defense measures are in place.

Risk 88

Risk Measurement Business Objectives Optimization 88

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 3- Security and data governance are still the priority.

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

Cloudera

APRIL 7, 2022

Simply collecting data isn’t enough anymore: government agencies must harness the value of that data in motion with an effective data strategy and platform. We’ve built a lineup of experienced government IT leaders and other experts who will lead a compelling agenda of relevant sessions. We look forward to seeing you in person!

Data-driven 89

Data-driven Machine Learning Data Governance Data Strategy 89

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. Consider for a moment, just how much 2020 brought about for businesses to deal with. At the same time, the need to have a strong layer of security and governance is being highlighted. GDPR, CCPA, HIPAA.)

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Laminar Security

APRIL 18, 2023

The Addition of Google Cloud & Snowflake Support Make Laminar the First Cloud-native Data Security Platform to Fully Support Multi-cloud Architectures As cloud technologies continue to drive business innovation, organizations are turning to multi-cloud infrastructure to meet their diverse needs.

Data Warehouse 52

Data Warehouse Risk Cost-Benefit Structured Data 52

CIO Business Intelligence

SEPTEMBER 12, 2023

Over 100,00 organizations are expected to be impacted by Network and Information Security Directive (NIS2) cybersecurity standards that European Union (EU) member states must implement by October 2024. [i] This concept of least-privilege access is fundamental to Zero Trust Security practices.

IoT 97

IoT Measurement Manufacturing Finance 97

IBM Big Data Hub

SEPTEMBER 11, 2023

IBM and AWS have been working together since 2016 to provide secure, automated solutions for hybrid cloud environments. The result is easier, faster cloud transformation, technology deployment, and more secure operations, which can help drive better business results. Netezza SaaS: Transitioning to the cloud has never been easier.

Data-driven 118

Data-driven Insurance Digital Transformation Data Warehouse 118

DataRobot Blog

MAY 12, 2022

In the public sector , AI has the power to tackle the government’s toughest homeland security missions in a responsible manner. DataRobot is a proud partner enabling governments and organizations to face their unique challenges and leverage AI for value they can trust. AI Cloud for Public Sector. Learn more.

Data Processing 52

Data Processing Risk Publishing Visualization 52

IBM Big Data Hub

MARCH 20, 2024

With more dependency on technology and third and fourth parties, expectations are increasing for organizations to continue delivering critical business services through a major disruption in a safe and secure manner. This means actively minimizing downtime and closing gaps in the supply chain to remain competitive.

Risk Management 84

Risk Management Risk Enterprise Business Services 84

IBM Big Data Hub

MAY 31, 2023

In this blog post, we will look at the frequently overlooked phenomenon of connected products and how enterprises are using them to their advantage. Connected products can enhance support by monitoring and optimizing usage. This is especially true in manufacturing and industrial engineering. Learn more about Industry 4.0

Manufacturing 103

Manufacturing Internet of Things IoT Data-driven 103

IBM Big Data Hub

DECEMBER 18, 2023

For organizations of all types—and especially those in highly regulated industries such as financial services, government, healthcare and telco—considerations including the rise of generative AI, evolving regulations and data sovereignty laws and ongoing security challenges must be top of mind.

Digital Transformation 74

Digital Transformation Risk Data Processing Enterprise 74

Laminar Security

DECEMBER 13, 2023

Shadow data , or misplaced and overlooked data, has emerged as a leading issue in cloud data security. In fact, 68% of security professionals identify shadow data as their primary challenge. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Laminar Security

NOVEMBER 16, 2023

The way we build applications and the infrastructure supporting them has evolved over time, as we adopted cloud native services in pursuit of efficiency, flexibility, and time to market. The end result is that most IT organizations are now supporting many environments across on-premises, edge, different public clouds, and SaaS.

IT 64

IT Risk Data Processing Management 64

IBM Big Data Hub

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Risk 81

Risk Modeling Management Metadata 81

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. So how do you take full advantage of the cloud? Collaboration and governance.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

IBM Big Data Hub

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. AI plays a pivotal role in unlocking value from data and gaining deeper insights into the extensive information that governments collect to serve their citizens.

Machine Learning 73

Machine Learning Digital Transformation Modeling Data Collection 73

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Building and maintaining these structures requires the policies and coordination of effective data governance.

Data Governance 52

Data Governance Data-driven Strategy Management 52

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Simplify, and where possible, automate governance.

Data Architecture 61

Data Architecture Predictive Modeling Data Governance Data-driven 61