erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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 87

Risk Measurement Data Governance Insurance 87

Smart Data Collective

DECEMBER 18, 2020

A few years ago, we talked about the benefits of using AI and big data in disaster relief. These problems put the importance of big data and AI to the test, as we strive to fight the problems they cause. We have recently seen how important these applications are, as the damage of natural disasters is worse than ever.

Cost-Benefit 90

Cost-Benefit Unstructured Data Big Data Risk 90

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 105

Strategy Risk Cost-Benefit Business Objectives 105

Smart Data Collective

OCTOBER 13, 2020

Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 123

Testing Behavioral Analytics Data-driven Big Data 123

erwin

FEBRUARY 13, 2020

Therefore, most enterprises have encountered difficulty trying to master data governance and metadata management, but they need a solid data infrastructure on which to build their applications and initiatives. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

erwin

OCTOBER 31, 2019

In July 2019, British Airways received the biggest GDPR fine to date ($229 million) because the data of more than 500,000 customers was compromised. percent of its global annual revenue, because 330 million hotel guests were affected by a breach in 2018. The Regulatory Rationale for Integrating Data Management & Data Governance.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)). Dr. Richard L.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Smart Data Collective

SEPTEMBER 22, 2021

Data breaches have become much more common in recent years. One estimate shows that over 37 billion data records were exposed last year. The risk of data breaches will not decrease in 2021. Data must be managed carefully , which means protecting it against security breaches. It is still a vulnerable place.

Statistics 107

Statistics Risk Measurement Software 107

Smart Data Collective

JULY 25, 2019

The Global Data Protection Regulation (GDPR) was enacted in May 2018. Consumers need to be aware of the risks and take appropriate measures. Data privacy risks remain a concern after the passage of the GDPR. However, there are still important privacy risks that consumers need to be aware of.

Risk 80

Risk Cost-Benefit Data Processing Measurement 80

erwin

JANUARY 17, 2020

Thanks to organizations like Amazon, Netflix and Uber, businesses have changed how they leverage their data and are transforming their business models to innovate – or risk becoming obsolete. The Advantages of NoSQL Data Modeling. SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

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

Smart Data Collective

OCTOBER 8, 2021

This is according to Barclay Hedge founder and President Sol Waksman in his July 2018 statement. Here, the models get tested using historical data to evaluate their profitability. And their risks before the organizations invest real money. According to Insight FactSet , hedge funds can use ML to find patterns in data.

Machine Learning 114

Machine Learning Testing Strategy Modeling 114

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). More Policies Emerged” (2010-2018). a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. When it comes to data, big data is the widely used and accepted frame.

Management 52

Management Data Strategy Big Data Strategy 52

Cloudera

MAY 22, 2018

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. This leads to wasted time and effort during research and collaboration or, worse, compliance risk. for the Oracle Big Data Appliance).

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

Smart Data Collective

MAY 17, 2021

Big data is at the heart of the digital revolution. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. billion in 2018.

Big Data 101

Big Data Cost-Benefit IoT Machine Learning 101

Alation

FEBRUARY 13, 2020

At Alation, we’ve seen triple digit revenue growth and added new customers like Daimler, Fox Networks, and Hilton Hotels to the growing list of brands in production with the Alation Data Catalog. When we started Alation six years ago, we saw a data landscape in desperate need of an access point.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Deadline to submit is July 20, 2018.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

Smart Data Collective

JULY 1, 2021

Ransomware threats have increased exponentially since 2018 and businesses fall victim to an attack approximately every 14 seconds. AI technology can do a lot to help fight against malware, but you can’t afford to be complacent and expect it to catch every possible risk. They can hit anywhere at any time.

Technology 83

Technology Machine Learning Statistics Data-driven 83

Cloudera

JANUARY 8, 2018

The compliance regulation ‘ du jour ‘ if you will, the EU General Data Protection Regulation (GDPR). With the regulation set to come into force on May 25 th 2018, time is fast running out for businesses of all shapes and sizes to get their data houses in order. And guess what’s causing it?

Data Warehouse 41

Data Warehouse Risk Big Data Technology 41

Cloudera

AUGUST 6, 2018

Only 3 years later, in 2018 the organization has received a total of 75 million messages. To manage what’s become one of the largest data sets on mental health and crisis in the world, Crisis Text Line had to be built from the ground up around technology and data. . But there are also challenges that we will need to overcome.

Machine Learning 49

Machine Learning Internet of Things Cost-Benefit Data-driven 49

Cloudera

SEPTEMBER 12, 2018

. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. Two weeks ago, we announced the finalists. Technical Impact.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

Smart Data Collective

AUGUST 21, 2019

Big data is changing the future of the retail industry. One study found that the value of big data in this sector was worth $3.45 billion in 2018. Big data is especially important in the eCommerce industry, since the market is digital. Big data is going to play a vital role in this process.

Big Data 78

Big Data Sales Marketing Predictive Analytics 78

Cloudera

AUGUST 2, 2018

It goes unnoticed but cyber threats are routinely hunted down by correlating hundreds of attributes from disparate data sources – even as data types and formats evolve. Leading insurers are underwriting policies with lower risks. Learn more about Cloudera Altus Data Warehousing.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

IBM Big Data Hub

JUNE 23, 2023

To accelerate speed-to-market, grow the business with new innovative products and services, gain new and deeper risk insights, and improve customer experience, most companies are also emphasizing digital transformation. Core modernization (processes and technology) is a top priority for every insurer.

Insurance 62

Insurance Cost-Benefit Digital Transformation Marketing 62

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Andrew White

APRIL 22, 2020

Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. See 2018 Won’t See a Massive Productivity Boost From AI – 2019 Might Show It. We won’t see the impact of AI in “the data” until 2021 at the earliest. Big data; small data.

Software 52

Software Measurement Uncertainty Marketing 52

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

O'Reilly on Data

MARCH 20, 2019

Like many others, I’ve known for some time that machine learning models themselves could pose security risks. An attacker could use an adversarial example attack to grant themselves a large loan or a low insurance premium or to avoid denial of parole based on a high criminal risk score. DZone (2018). Machine Learning 81.2

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

AWS Big Data

DECEMBER 8, 2023

FanDuel’s data team solved the problem of creating a new massive data store for centralizing the data in one place, with one version of the truth. At the heart of this new Global Data Platform was Amazon Redshift, which fast became the trusted data store from which all analysis was derived.

Data Warehouse 66

Data Warehouse Cost-Benefit KPI Risk 66

BI-Survey

FEBRUARY 22, 2019

To face the numerous new challenges and security risks that digital transformation is bringing, companies can no longer rely on traditional perimeter security tools, since there is simply no corporate perimeter anymore. Biggest challenges for big data security analytics solutions (n=293).

Analytics 70

Analytics Big Data Digital Transformation Reporting 70

Cloudera

OCTOBER 3, 2018

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale. Forward-Looking Statements.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Otherwise, they risk a data privacy violation.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

MARCH 29, 2024

We also lacked a data buffer, risking potential data loss during outages. Such constraints impeded innovation and increased risks. This architecture accelerated feature development by minimizing the risk of new features impacting existing ones.

Cost-Benefit 87

Cost-Benefit Data-driven Metrics Management 87