IBM Big Data Hub

MARCH 4, 2024

By becoming an AI+ enterprise, clients can realize the ROI not only for the AI use case but also for improving the related business and technical capabilities required to deliver AI use cases into production at scale. AI is at a turning point, driving exponential advancements in an organization’s prosperity and growth.

Enterprise 105

Enterprise ROI Risk Strategy 105

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 81

Data Governance Business Objectives Strategy Data Quality 81

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

IBM Big Data Hub

DECEMBER 14, 2023

In today’s digital age, the threat landscape continues to evolve and organizations are increasingly vulnerable to cyberattacks. Cyber resiliency refers to an organization’s ability to prepare for, respond to, and recover from cyber threats while maintaining the continuity of operations.

Risk 84

Risk Measurement Business Objectives Optimization 84

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

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 68

Machine Learning Digital Transformation Modeling Data Collection 68

IBM Big Data Hub

JANUARY 25, 2024

” Read the “Presidio AI Framework” paper to learn how to address generative AI risks with guardrails across the expanded AI life cycle As generative AI continues to go mainstream, organizations are excited about the potential to transform processes, reduce costs and increase business value. .”

Strategy 103

Strategy Risk Cost-Benefit Business Objectives 103

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

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. AI-powered automation is already driving significant margin growth by reducing costs.

Interactive 78

Interactive Data-driven Cost-Benefit Optimization 78

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction. What should I track?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards. What Is Model Governance?

Machine Learning 145

Machine Learning Modeling Testing Risk 145

IBM Big Data Hub

NOVEMBER 29, 2023

As all businesses strive to adopt a best-in-class approach for AI tools, let’s discuss best practices for how your company can leverage AI to enhance your real-time event processing use cases. Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information.

Unstructured Data 91

Unstructured Data Data-driven ROI Machine Learning 91

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

IBM Big Data Hub

AUGUST 3, 2023

In today’s fast-paced digital landscape, organizations need to ensure their cloud infrastructure is not only efficient and scalable but also compliant with various regulatory standards. IBM Cloud provides a powerful solution with its Infrastructure as Code (IaC) capabilities and the adoption of a shift-left approach to compliance.

Cost-Benefit 70

Cost-Benefit Risk Testing Software 70

IBM Big Data Hub

APRIL 9, 2024

Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app. Lastly, watsonx.data pulls from live feeds.

Management 85

Management IT Machine Learning Metrics 85

Laminar Security

DECEMBER 22, 2023

In the age of cloud computing, data security and cost management are paramount for businesses. Data Security Posture Management (DSPM) serves as a critical tool in this landscape, offering businesses a way to keep their data secure while also managing their cloud storage costs effectively.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

erwin

FEBRUARY 28, 2024

At Sparkle, we’re a holistic data partner helping organizations increase their data maturity in a strategic yet pragmatic way. One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program.

Metadata 52

Metadata Data Governance Data Quality Technology 52

IBM Big Data Hub

APRIL 4, 2024

The cloud represents a strategic tool to enable digital transformation for financial institutions As the banking and other regulated industry continues to shift toward a digital-first approach, financial entities are eager to use the benefits of digital disruption. Most of these new technologies are born-in-cloud.

Cost-Benefit 60

Cost-Benefit Risk Management Risk Digital Transformation 60

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” How do you scale an organization without hiring an army of hard-to-find data engineering talent? Data team morale is consistent with DataKitchen’s own research. It’s not been going well.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

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 101

Metadata Risk Risk Management Experimentation 101

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. Without an AI strategy, organizations risk missing out on the benefits AI can offer.

Strategy 78

Strategy Business Objectives Cost-Benefit Consulting 78

erwin

JULY 9, 2021

For many organizations, data is the heart of the business, and data intelligence is the key differentiator. At the root of data intelligence is data governance , which helps ensure the right level of data access, availability and usage based on a defined set of data policies and principles.

Data Governance 59

Data Governance Business Driver Strategy Statistics 59

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). The CDO is an essential role in a data-driven organization. Without a data champion, the C-suite can overlook and even ignore data.

IT 76

IT Data Strategy ROI Data-driven 76

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

Insurance 84

Insurance Data Warehouse Data-driven Unstructured Data 84

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

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Analytics 76

Analytics Cost-Benefit ROI Business Objectives 76

Cloudera

SEPTEMBER 29, 2021

While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well. While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well.

Digital Transformation 80

Digital Transformation Data Governance Data-driven Uncertainty 80

IBM Big Data Hub

NOVEMBER 29, 2023

Forecasts indicate that water scarcity will present a greater challenge in meeting long-term sustainability goals as the climate continues to change. The outcomes of these challenges have manifested in various ways including reduced water quality due to shortages and reduced environmental flows.

Forecasting 80

Forecasting Marketing Testing Reporting 80

IBM Big Data Hub

APRIL 12, 2022

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. Understand your strategic drivers. Mitigating risk.

Data Strategy 82

Data Strategy Strategy Enterprise Data-driven 82

Ontotext

SEPTEMBER 1, 2023

Enterprises worldwide are analyzing Generative AI capabilities and seeking ways to leverage them for a variety of use cases to improve their competitive edge and incorporate automation and efficiency. An LLM, on the other hand, is a neural network model built by processing text data. So, What Exactly are Generative AI and LLMs?

Risk 52

Risk Modeling Data Quality Data Governance 52

Alation

JULY 19, 2021

Metadata is information about data. Folks who work closely with data, like analysts, data scientists, and IT teams, rely on metadata to give them crucial context for how to use a given asset. Today, metadata is extremely helpful in classifying, describing, and providing critical information about digital data.

Metadata 105

Metadata Management Data Governance Machine Learning 105

IBM Big Data Hub

APRIL 28, 2022

Data agility, the ability to store and access your data from wherever makes the most sense, has become a priority for enterprises in an increasingly distributed and complex environment. That’s where the data fabric comes in. Data fabric in action: Retail supply chain example. enterprises to minimize their time to value.

Metadata 84

Metadata Data Warehouse Forecasting Predictive Modeling 84

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

IBM Big Data Hub

MAY 17, 2023

Ticket management KPIs are critical for understanding how effective your IT support team is and the quality of service being provided to your customers. Business leaders know that their organization’s success relies on its ability to keep essential processes running smoothly and efficiently.

Management 74

Management IT Optimization Consulting 74

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. IBM has been the pioneer in paving the way for data management technologies and advancements for decades, from the first commercial database to quantum computing systems. This is the story of Db2. .

Data Lake 94

Data Lake Data Warehouse Publishing Structured Data 94

IBM Big Data Hub

FEBRUARY 5, 2024

Cloud computing continues to grow in popularity, and its scalability, functionality, cost-effectiveness and other potential benefits have helped transform traditional business models and update legacy systems, creating opportunities for various organizations. a migration will be.

Management 70

Management Cost-Benefit Strategy Risk 70