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. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Management 52

IBM Big Data Hub

OCTOBER 26, 2023

That much investment has necessitated the FinOps movement , a cloud financial management discipline designed to bring financial accountability to the variable, consumption-based spend model of cloud. How the products work Cloudability provides organizations with data, insights and recommendations to help better understand their cloud spend.

Cost-Benefit 74

Cost-Benefit Optimization Metrics Data Processing 74

IBM Big Data Hub

OCTOBER 3, 2023

If you play fantasy football, you are no stranger to data-driven decision-making. And this year, ESPN Fantasy Football is using AI models built with watsonx to provide 11 million fantasy managers with a data-rich, AI-infused experience that transcends traditional statistics. But numbers only tell half the story.

Modeling 96

Modeling Statistics Consulting Unstructured Data 96

IBM Big Data Hub

FEBRUARY 15, 2024

Kubernetes (K8s) containers and environments are the leading approach to packaging, deploying and managing containerized applications at scale. However, the distributed flexibility that makes Kubernetes appealing can also make implementing Kubernetes monitoring and observability practices challenging. How does observability work?

Metrics 74

Metrics Key Performance Indicator Snapshot KPI 74

IBM Big Data Hub

FEBRUARY 5, 2024

Envisioned to comprehensively address information and communications technology (ICT) risk management in financial services, DORA aims to harmonize existing regulations across EU member states. Article 7 of the draft RTS delves into cryptographic key management, emphasizing the importance of lifecycle management for cryptographic keys.

Risk Management 74

Risk Management Risk Consulting Management 74

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management.

Management 52

Management Data Quality Metadata Testing 52

IBM Big Data Hub

FEBRUARY 5, 2024

Numerous individuals disclose confidential, personal data to commercial and public entities daily, necessitating that government institutions uphold stringent security measures to protect their assets. Credential management Credentials, in essence, substantiate an individual’s identity.

Risk 96

Risk Cost-Benefit Measurement Management 96

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. While the progress is exciting, the leap from weak AI to true AGI is a significant challenge.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

DataKitchen

JANUARY 5, 2021

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer. Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL.

Testing 147

Testing Data Governance Metadata Visualization 147

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103

IBM Big Data Hub

JANUARY 26, 2024

Founded in 2006, Shuto Technology is a leading asset management solution provider in China that focuses on helping industry-leading enterprises build asset operation and management platforms, and empower their core competitiveness through digitalization. This will make it harder to transfer existing skillsets in talents enablement.

Cost-Benefit 79

Cost-Benefit Enterprise Technology KPI 79

AWS Big Data

SEPTEMBER 8, 2023

In this blog post, we discuss the impact of Amazon Elastic Block Store (Amazon EBS) volume IOPS and throughput limits on Amazon OpenSearch Service domain and how to prevent/mitigate throughput throttling situation. Data: Responsible for serving search and indexing requests and storing the indexed data.

Management 91

Management Metrics Measurement Unstructured Data 91

Cloudera

NOVEMBER 16, 2022

Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. It’s clear firms seek to leverage data and embrace its potential insights, but most are forging ahead in largely uncharted territory. Are you playing offense or defense?

Insurance 77

Insurance Cost-Benefit Metrics Measurement 77

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 96

Risk Optimization Management Insurance 96

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Constructing a Digital Transformation Strategy: How Data Drives Digital.

Data Governance 145

Data Governance Metadata Digital Transformation Cost-Benefit 145

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

JANUARY 11, 2024

To achieve business agility and keep up with competitive challenges and customer demand, companies must absolutely modernize these applications. Figuring out what different teams have done with COBOL over the years is what makes it so hard to manage change. So much so that many companies are afraid to make substantive changes to them.

Digital Transformation 109

Digital Transformation Modeling Deep Learning Visualization 109

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

IBM Big Data Hub

MAY 25, 2023

It stands alongside IBM Consulting’s existing global AI and Automation practice, which includes 21,000 data and AI consultants who have conducted over 40,000 enterprise client engagements. At the same time, there are reasonable concerns about how to mitigate bias, manage data security, and factor in precision and risk.

Consulting 108

Consulting Experimentation Machine Learning Modeling 108

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. And the success stories are seemingly endless.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

IBM Big Data Hub

JUNE 26, 2023

In this blog post, we’ll look beyond the basics like root cause analysis and anomaly detection and examine six strategic use cases for AIOps. This cloud financial management practice is a way for cross-functional teams—like Engineering, Finance and Product—to work together and take ownership of cloud usage.

Digital Transformation 56

Digital Transformation Cost-Benefit ROI Data-driven 56

CIO Business Intelligence

SEPTEMBER 8, 2022

Every ten years it seems there is a new technology that is going to change the world, but all too often only leads to disappointment when adopting it becomes too challenging. Instead, focus on gathering the data specific to the use case you are implementing, and drive quickly through proof-of-concept to production and value.

Machine Learning 115

Machine Learning Cost-Benefit Data-driven Digital Transformation 115

Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. Ironically, relational databases only imply relationships between data points by whatever row or column they exist in.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

IBM Big Data Hub

OCTOBER 25, 2023

Here’s how CTOs and CIOs can evaluate their technology and data estates, assess the opportunity and chart a path forward. Organizations that have mastered hybrid cloud are well positioned to implement generative AI across the organization. also includes access to the StarCoder LLM, trained on openly licensed data from GitHub.

Cost-Benefit 90

Cost-Benefit ROI Modeling Testing 90

erwin

MAY 20, 2020

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated. Discover risks.

Data Governance 144

Data Governance Metadata Risk Strategy 144

Jenny Sussin

JUNE 13, 2019

Well ladies and gentlemen, two things we need to address to start this post: That whole goal I had about maintaining a regular blogging schedule? Master data management (pardon me?). Business process management (interesting…). Out the window. Voice of the Customer (VOC…also not surprising…).

Technology 72

Technology Customer Analytics Metrics Sales 72

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

Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Cloudera

JANUARY 29, 2021

In other words, only one in ten of a data scientist’s workdays actually end up producing something useful for the company. When you consider the challenges that an industrial company faces planning, executing and nurturing an Industry 4.0 Mass Data Fragmentation / Difficulty Ingesting all Data . Clearly Industry 4.0

Internet of Things 53

Internet of Things Manufacturing ROI Machine Learning 53

erwin

AUGUST 20, 2020

It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. A city planner formulates a master plan of where people will live and the services they will need. A greater ability to anticipate and manage change. Data Governance.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

Jedox

FEBRUARY 13, 2020

The power of artificial intelligence (AI) lies within its ability to make sense of large amounts of data. For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

Sisense

JANUARY 14, 2021

Especially when dealing with business data, trust in the figures is an essential element of every transaction. Especially when dealing with business data, trust in the figures is an essential element of every transaction. We’re stronger when we work together. For analytics teams, trust is hard to gain and easy to lose.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

IBM Big Data Hub

SEPTEMBER 6, 2023

While organizations gather data and undergo detailed reviews to craft a budget, the market doesn’t stand still. It continues to change, shaped by technological advancements, shifts in consumer preferences and new challenges. This data helps us understand earlier trends and is vital for making a realistic budget.

Forecasting 89

Forecasting Marketing Risk Sales 89

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Cloudera

OCTOBER 28, 2020

For those who master the art of delivering a modern customer experience, there are huge rewards. By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. How can financial institutions improve the customer experience?

Unstructured Data 68

Unstructured Data Data-driven Machine Learning Digital Transformation 68

IBM Big Data Hub

AUGUST 2, 2023

However, with some support teams handling thousands of calls from customers daily, meeting these needs in real-time has become increasingly challenging. Businesses like Humana, The Master’s, and ABN AMRO Bank N.V. After COVID-19, a customer surge revealed gaps within agent management and response times.

Recreation/Entertainment 55

Recreation/Entertainment Insurance ROI Marketing 55