CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145

Risk Consulting Machine Learning Data Science 145

IBM Big Data Hub

APRIL 24, 2024

Deploying privacy protections: The app uses encryption to protect data from cybercriminals and other prying eyes. Even if the data is stolen in a cyberattack , hackers can’t use it. These access controls reduce the chances that the data is used for unauthorized or illegal purposes.

Risk 83

Risk Measurement Data Governance Insurance 83

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

erwin

FEBRUARY 21, 2019

In fact, the retail market was expected to grow by more than 3 percent in 2018 , unemployment is low, and wages are at least stable. According to Deloitte’s 2018 Retail, Wholesale and Distribution Industry Trends Outlook , “consumers have been conditioned to expect fast, convenient and effortless consumption.”

Digital Transformation 69

Digital Transformation Risk Data Governance Sales 69

Cloudera

SEPTEMBER 29, 2021

In another example, the Singapore Accountant General’s Department turned to Robotic Process Automation (RPA) in 2018 to audit payroll increments, performance bonuses and salaries. This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks.

Digital Transformation 78

Digital Transformation Data Governance Data-driven Uncertainty 78

IBM Big Data Hub

FEBRUARY 23, 2024

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Irish regulators hit Meta with a EUR 1.2

Measurement 83

Measurement Risk Data Collection Data Processing 83

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

NOVEMBER 9, 2022

Have a data governance plan as well to validate and keep the metrics clean. In my previous company, our advanced material business had a saying, ‘Go fast, take risks, and learn,’” says Keith Carey, CIO at Hemlock Semiconductor, a maker of products for the electronic and solar power industries. That’s a great place to start.”

Analytics 137

Analytics Slice and Dice Metrics Sales 137

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Octopai

JANUARY 25, 2021

The cost of data breaches in 2019 was 87% higher than in 2018 , with the number rising each year. With such sensitive information at risk, the federal government passed the Health Insurance Portability and Accountability Act (HIPAA).

Insurance 52

Insurance Metadata Statistics Reporting 52

Cloudera

FEBRUARY 14, 2018

We share the same obstacles our customers face – most of which are around data collection, data quality (or lack thereof), data governance as well as misalignment or miscommunication about who is responsible and accountable for managing and analyzing different datasets and analytical outcomes.

Data-driven 43

Data-driven Data Quality Risk Interactive 43

Anmut

FEBRUARY 3, 2021

We all know that the daily amount of data generated is astounding, more than 25 quintillion bytes (that’s 30 zeros) according the World Economic Forum. A number that’s grown 10X since 2018. Every business relies on data for better decision-making. Data asset governance.

Management 52

Management Data Strategy Big Data Strategy 52

Alation

FEBRUARY 13, 2020

Pfizer’s data catalog is at the heart of the company’s Virtual Analytics Workbench , which has been instrumental in identifying rare forms of heart failure. MunichRe’s data catalog sped the introduction of new, innovative data products to mitigate the risk of high impact crises caused by global warming.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Octopai

DECEMBER 30, 2020

If the ECB’s Targeted Review of Internal Models (TRIM) is targeting your institution, you need to be able to show that your internal models are accurately and adequately mapping your risk. As of 2018, contracts referencing LIBOR accounted for an estimated $200 trillion in gross national exposure in the United States.

Finance 63

Finance Reporting Modeling Risk 63

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 82

Insurance Data Architecture Risk Management Risk 82

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

IBM Big Data Hub

OCTOBER 16, 2023

In addition, certain countries have privacy laws that restrict the disclosure of personal data to third parties. Data sovereignty in the EU is an evolving field. There have been calls in Europe to create a stronger European-based cloud infrastructure that can help better ensure data sovereignty within the EU’s member states.

Cost-Benefit 73

Cost-Benefit Data Governance Risk Data-driven 73

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Domino Data Lab

JULY 2, 2019

This has implications for data science work, where so much of the heavy lifting of data preparation gets done in libraries like pandas, NumPy, etc., Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01). Program Synthesis is Possible ” – Adrian Sampson (2018-05-09). AutoPandas: Origins.

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Metadata Machine Learning Data Science Data-driven 105

DataRobot

DECEMBER 6, 2021

Similarly in 2018, the ECP AI Code of Conduct working group published its Artificial Intelligence Impact Assessment standard, containing nine ethical principles, ten rules of practice, and dozens of self-assessment questions in its checklist. All recommend broader contextualization, improved risk management, and human oversight.

Data-driven 52

Data-driven Risk Publishing Risk Management 52

IBM Big Data Hub

JUNE 21, 2022

A data fabric orchestrates various data sources across a hybrid and multicloud landscape to provide business-ready data in support of analytics, AI and other applications. General Data Protection Regulation ?(GDPR), GDPR), which went into effect in May 2018. The future of data leadership .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

Octopai

JANUARY 19, 2021

Whether your organization is using on-prem or cloud-based systems, or a combination of the two – Octopai’s enterprise-scale cloud-based BI Intelligence platform allows BI teams to speed analytics projects, achieve greater agility, and reduce risk.

Metadata 52

Metadata ROI Optimization Data Quality 52

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing for compliance.

Digital Transformation 56

Digital Transformation Data Governance Data Warehouse Data-driven 56

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data Governance Tools for Regulatory Compliance.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data Governance Tools for Regulatory Compliance.

Data Governance 40

Data Governance Cost-Benefit Data-driven Metadata 40

O'Reilly on Data

MAY 21, 2019

For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production. With all the hype around AI, it can be tempting to jump into use cases involving data types with which you aren’t familiar. Source: O'Reilly.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Cloudera

NOVEMBER 3, 2023

Their Data Health and Lineage capability adds business context to data, enhancing data governance and, in turn helping enterprises accurately assess data risks. Middle East, Turkey, and Africa Partner of the Year: Solutions by STC Solutions by STC has been a Cloudera partner since 2018.

Technology 94

Technology Insurance Strategy Marketing 94

CIO Business Intelligence

AUGUST 1, 2023

During keynotes and discussions with CIOs, I remind everyone how strategic priorities evolve significantly every two years or less, from growth in 2018, to pandemic and remote work in 2020, to hybrid work and financial constraints in 2022. That’s my key advice to CIOs and IT leaders.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

Alation

APRIL 12, 2022

Two decades on, the role has expanded to include responsibility for analytics, and even data monetization. Between 2010 and 2018 the number of CDOs present in Fortune 1500 companies increased nearly 8-fold. Today, the modern CDO drives the data strategy for the entire organization. The CDO’s Role in Driving a Data Strategy.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52