Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 96

Data Governance Enterprise Data Quality Metadata 96

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

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

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 111

Slice and Dice Cost-Benefit Risk Data Governance 111

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. It’s because of data. . Data science needs analytics.

Snapshot 90

Snapshot Data Science Digital Transformation Metadata 90

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

Alation

JUNE 14, 2021

The Role of Catalog in Data Security. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection. What did come as a surprise was the central role of the data catalog for CIOs in data protection.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 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

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

Cloudera

OCTOBER 30, 2023

Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. However, the reality is that the “move to cloud” is a turbulent flight for many of them. Why FinOps?

Analytics 75

Analytics Cost-Benefit ROI Business Objectives 75

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Data pipelines are composed of multiple steps with dependencies and triggers. Autoscaling speed and scale.

Snapshot 116

Snapshot Data-driven Optimization Management 116

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024.

Strategy 52

Strategy Management Metadata Data-driven 52

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. Here are a few common data management challenges: Regulatory compliance on data use. Data quality. Data silos.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 108

IT Data Architecture Unstructured Data Big Data 108

DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders. views AI as a strategic business asset.

Machine Learning 119

Machine Learning Risk Management Data-driven Risk 119

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 2) Why Do You Need DQM? 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. Table of Contents.

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

JUNE 13, 2022

Trustworthy outcomes are critical for all AI systems, particularly in high-risk contexts, and this is a key factor in why the market for responsible AI solutions is expected to double in size in 2022 [2]. Central to putting these principles into practice is establishing the appropriate governance mechanisms for AI systems.

Risk 98

Risk Risk Management Data-driven Metrics 98

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

CIO Business Intelligence

APRIL 19, 2022

Sovereign cloud is not a new concept. It has just become very topical due to a changing geopolitical landscape and new regulations that affect control of data. To put it briefly, sovereign cloud provides a smart solution for an international battle of digital sovereignty, but let’s dig a little deeper.

Metadata 59

Metadata Risk Data-driven Strategy 59

Cloudera

JANUARY 27, 2021

We believe security is the cornerstone of any legitimate data platform, and we’re excited to announce that Cloudera has successfully achieved SOC 2 Type II certification for Cloudera Data Platform (CDP) Public Cloud. Why is SOC 2 Important? Data backup and disaster recovery. What’s Next?

Testing 101

Testing Data Warehouse Machine Learning Measurement 101

IBM Big Data Hub

NOVEMBER 10, 2023

Public cloud computing is a must if your organization wants to scale quickly and meet the day-to-day, ever-changing demands of the business. One of the challenges for IT, though, is controlling cloud consumption costs while moving workloads. But there’s another option: cloud management platforms and FinOps to better manage costs.

Optimization 75

Optimization Machine Learning Interactive Management 75

DataRobot Blog

AUGUST 1, 2022

We’ve had a busy few months in the Middle East and Northern Africa (MENA) building great relationships with important customers in the region and working closely with critical partners that will act as managed service providers helping us as we bring the value of AI to that market. Why DataRobot?

B2B 98

B2B Enterprise Marketing Technology 98

IBM Big Data Hub

AUGUST 23, 2023

However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves. Safe, widespread AI adoption will require us to embrace AI Governance across the data lifecycle in order to provide confidence to consumers, enterprises, and regulators.

Data Governance 57

Data Governance Enterprise Modeling Risk 57

IBM Big Data Hub

SEPTEMBER 20, 2022

Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to. Explainability: Can you explain why the model made a certain decision? How a data fabric enables trustworthy AI.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

erwin

AUGUST 13, 2020

The good news is that this is how enterprise architects stay relevant, and why enterprise architect salaries are so competitive. Technology Disruption : How do we focus on innovation while leveraging existing technology, including artificial intelligence, machine learning, cloud and robotics? big data, analytics and insights)?

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

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 2, 2020

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. CDP Private Cloud offers benefits of a public cloud architecture—autoscaling, isolation, agile provisioning, etc.—in Migrate from large on-premises CDH/HDP clusters to CDP Private Cloud.

Cost-Benefit 65

Cost-Benefit Data Warehouse Data Lake Machine Learning 65

IBM Big Data Hub

JULY 5, 2023

Moving data and applications from traditional on-premises data centers to cloud infrastructure offers companies the potential for significant cost savings through accelerating innovation, keeping a competitive edge and better interacting with customers and employees. Why do you need cloud cost optimization?

Optimization 71

Optimization Forecasting ROI Metrics 71

IBM Big Data Hub

SEPTEMBER 20, 2022

But we needed someone who could help us tell the story; someone who could grab the attention of fantasy football enthusiasts, introduce them to the artificial intelligence of Watson, and encourage them to embrace the era of data-driven decision making. Why is IBM in the fantasy football business? Let me explain. Great question.

Broadcasting 52

Broadcasting Statistics Consulting Data-driven 52

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. From our perspective, the debate over architecture is over.

Cost-Benefit 90

Cost-Benefit ROI Modeling Testing 90

DataRobot Blog

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

Alation

NOVEMBER 2, 2022

So why invest now, and in this turbulent market? This leading software investment firm has partnered with the who’s-who of data-centric companies, including Qlik and Starburst, to help them drive sustainable, long-term growth. When asked why invest now, Sayle points to the company’s track record of accelerating growth.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

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

OCTOBER 12, 2023

Throughout the event, there was unanimous agreement that governance and trust are critical for hardening generative AI for real world applications. That’s why we are hosting the watsonx Challenge for IBM Global Systems Integrators on the 26th October 2023. IBM is working with our partners on multiple ways watsonx.ai

Consulting 67

Consulting Data Processing Technology Strategy 67

DataRobot

OCTOBER 27, 2021

Between 2013 and 2017, job listings in 27 states rose by 11 percent while applicant numbers tumbled by 24 percent, compounding talent vacancy issues within state and local governments. Since the onset of the COVID-19 pandemic, state government’s cut employment by approximately 7 percent (approximately 1.5

Machine Learning 52

Machine Learning Modeling Reporting IT 52