IBM Big Data Hub

APRIL 8, 2024

The key foundation of a strong PLM strategy is healthy and orderly product data, but data management is where enterprises struggle the most. To take advantage of new technologies such as AI for product innovation, it is crucial that enterprises have well-organized and managed data assets.

Data-driven 61

Data-driven Management Data Governance Strategy 61

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. A DataOps superstructure provides the foundation to address the many challenges inherent in operating a group of interdependent domains. The problem is not “you.”

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

IBM Big Data Hub

APRIL 22, 2024

“AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics Board member. Therefore, it is critical to design and manage systems sustainably.

Cost-Benefit 98

Cost-Benefit Modeling Manufacturing Reporting 98

IBM Big Data Hub

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. This approach provides actual real data points for ESG reporting instead of model-based assumptions, which helps reduce carbon footprint and achieve sustainability goals.

Management 94

Management Internet of Things Risk IoT 94

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

IoT 85

IoT Internet of Things Cost-Benefit Reporting 85

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 83

Data Governance Business Objectives Strategy Data Quality 83

IBM Big Data Hub

JANUARY 25, 2024

Generative AI is opening doors and creating new opportunities and risks for organizations globally, with human resources (HR) leadership playing a key role in managing these challenges. This example can be an opportunity for HR to drive and champion efforts in thwarting potential ethical challenges and operational risks.

Strategy 105

Strategy Risk Cost-Benefit Business Objectives 105

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. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

Machine Learning 69

Machine Learning Digital Transformation Modeling Data Collection 69

IBM Big Data Hub

FEBRUARY 1, 2024

As a result, new forms of centrally managed digital currencies are emerging alongside cryptocurrencies like Bitcoin, the notorious volatility of which has challenged their acceptance worldwide. Under such centrally governed systems, accountability needs to co-exist with privacy, while both need to respect the need for authorized audits.

Experimentation 101

Experimentation Modeling Finance Reporting 101

Cloudera

APRIL 7, 2022

As a public sector leader, you don’t need the value of data explained to you. 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. You already understand its importance to your vital missions. .

Data-driven 89

Data-driven Machine Learning Data Governance Data Strategy 89

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 94

Strategy Data Architecture Cost-Benefit Reporting 94

IBM Big Data Hub

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

Cost-Benefit 110

Cost-Benefit Digital Transformation Technology Modeling 110

Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity.

Cost-Benefit 83

Cost-Benefit Data Architecture Risk IoT 83

IBM Big Data Hub

JANUARY 23, 2023

If you’re in charge of managing data at your organization, you know how important it is to have a system in place for ensuring that your data is accurate, up-to-date, and secure. That’s where data governance comes in. What exactly is data governance and why is it so important?

Data Governance 73

Data Governance Data Quality Management IT 73

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

Snapshot 86

Snapshot Data Lake Enterprise Data Governance 86

IBM Big Data Hub

FEBRUARY 5, 2024

For federal and state governments and agencies, identity is the crux of a robust security implementation. Numerous individuals disclose confidential, personal data to commercial and public entities daily, necessitating that government institutions uphold stringent security measures to protect their assets.

Risk 96

Risk Cost-Benefit Measurement Management 96

IBM Big Data Hub

MARCH 4, 2024

They understand that if one area of the business adopts AI while others lag or resist it (due to valid concerns), this exacerbates issues like Shadow AI, making it challenging to implement a holistic strategy. Should you use a retrieval augmented generation (RAG) model by pairing your data with a public foundation model?

Enterprise 107

Enterprise ROI Risk Strategy 107

IBM Big Data Hub

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice. So what is stopping AI adoption today?

Metadata 78

Metadata Risk Experimentation Dashboards 78

CIO Business Intelligence

NOVEMBER 30, 2023

Hub-and-spoke networks and castle-and-moat security architectures were designed for days gone by when users, apps, and data all resided on premises. In this blog, you will learn a few of the means by which Zscaler delivers superior economic value than perimeter-based architectures.

Cost-Benefit 105

Cost-Benefit Uncertainty Optimization Risk 105

CIO Business Intelligence

SEPTEMBER 20, 2023

In this article, we will explore the top five priorities for CIOs and CISOs and how Zero Trust can help them align by addressing the challenges they face, including ransomware threats. Data Management: CIOs are focused on effectively managing and leveraging the massive amounts of data generated by digital businesses.

Digital Transformation 111

Digital Transformation Risk Management Risk Machine Learning 111

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. As part of the COVID-19 crisis response, the federal government has provided aid to states and localities by designating federal recovery funds.

Risk 98

Risk Risk Management Data-driven Management 98

CIO Business Intelligence

APRIL 30, 2024

Finding a new job when you’re in transition has different challenges than hopping from one job to another does. Following are five ways to uncover opportunities and keep yourself primed for new leadership challenges. Start a blog or contribute articles to media sites and other established blogs.

IT 75

IT Technology Advertising Marketing 75

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. (

Metadata 102

Metadata Risk Risk Management Experimentation 102

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. For example, providers can start by including more real-time data streams that can enhance customer interactions.

Strategy 101

Strategy Data Strategy ROI Cost-Benefit 101

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We briefly summarise each challenge below. Capturing Intent. System Design.

Uncertainty 97

Uncertainty Measurement Metrics Risk 97

DataRobot

NOVEMBER 16, 2021

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. What is MLOps? Issues with Deployment.

Cost-Benefit 98

Cost-Benefit Machine Learning Modeling Risk 98

IBM Big Data Hub

FEBRUARY 5, 2024

Though it can deliver many benefits, a migration project poses some risks to an organization and presents a unique set of challenges. The better an organization understands those challenges, and prepares to proactively address them, the more successful (and less stressful!) a migration will be.

Management 70

Management Cost-Benefit Strategy Risk 70

Cloudera

FEBRUARY 23, 2023

Solving this crisis can and should be supported by insights gained from the vast amounts of data available to healthcare providers and government agencies. With CDP, KMC was able to develop the aptly named Controlled Substance Analytics platform to leverage data analytics in the fight against opioid abuse and misuse.

Data Analytics 75

Data Analytics Analytics Data Processing Risk 75

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Then you must bulk load the legacy data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

MARCH 3, 2024

Quocirca acknowledged many instances of data loss through unsecured printing were simply the result of printed output falling into the wrong hands. All data that appears in printed output passes through the printer in digital format with the potential for compromise. Doing penetration testing.

IT 111

IT Measurement Risk Testing 111

Cloudera

SEPTEMBER 8, 2022

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? What about data fabric?

Data Governance 75

Data Governance B2B Data Architecture IoT 75

Alation

JULY 15, 2021

Many data catalog initiatives fail. According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. A data catalog’s approach is key. Finding a trustworthy asset in a sea of data can take analysts months.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

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. Trusted AI Everywhere” explained Trusted AI poses significant challenges. Addressing these and other challenges is a precondition for trusted AI.

Interactive 76

Interactive Data-driven Cost-Benefit Optimization 76

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. As organizations become increasingly data-driven toward achieving AI ambitions, they recognize the need to ensure data accuracy, reliability, and quality.

Data-driven 73

Data-driven Data Governance Data Quality Cost-Benefit 73

Timo Elliott

MAY 19, 2023

Mastering Data Hygiene Reliable data is at the core of all digital transformation. You can see their full entryv” Enabling a Data-Driven Culture by Integrating SAP Solutions with SAP Business Technology Platform ” on the awards site. It’s always about people!

Data-driven 98

Data-driven Digital Transformation Data Quality Optimization 98

Cloudera

MAY 5, 2022

Fraud, waste, and abuse (FWA) in government is a constant, multi-billion dollar issue that challenges agency leaders at all levels and across all sectors, from healthcare to education to taxation to Social Security. A team approach: rich, scalable data analytics from Cloudera, GAI, Dell, and NVIDIA.

Machine Learning 94

Machine Learning Visualization Data Analytics Optimization 94

CIO Business Intelligence

DECEMBER 13, 2023

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Modeling 98