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

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

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

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. But you can come around this.

Statistics 107

Statistics Risk Measurement Software 107

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 82

Measurement Risk Data Collection Data Processing 82

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

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

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. Subscribe to Alation's Blog.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

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 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

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

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. The post The business value of operating core insurance solutions on the cloud appeared first on IBM Blog.

Insurance 61

Insurance Cost-Benefit Digital Transformation Marketing 61

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. I was wrong in the blog, of course. We won’t see the impact of AI in “the data” until 2021 at the earliest.

Software 52

Software Uncertainty Measurement Marketing 52

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. That leads to what Andrew Ng has famously called “the virtuous cycle of data.” That was the origin of big data. Session Summary.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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. Newer types of fair and private models (e.g.,

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

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 89

Cost-Benefit Data-driven Metrics Management 89

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

IBM Big Data Hub

FEBRUARY 22, 2024

Defense leaders focused on operationalizing the responsible curation of AI must first agree upon a shared vocabulary—a common culture that guides safe, responsible use of AI—before they implement technological solutions and guardrails that mitigate risk. Model output is based on the data it was trained on.

Metadata 101

Metadata Measurement Risk Modeling 101

Alation

FEBRUARY 13, 2020

After 116 years in business, legendary guitar maker Gibson filed for bankruptcy in 2018. We hear little about initiatives devoted to changing human attitudes and behaviors around data. The companies that succeed in the age of digital transformation are reinventing themselves and embracing a customer data culture.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

IBM Big Data Hub

JUNE 21, 2022

The key aspects were that the data had to be trusted and secure, and it had to deliver insights that drive business value through analytics without sacrificing privacy. . 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

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 72

Cost-Benefit Data Governance Risk Data-driven 72

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. 2018-06-21). That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Challenges for Transparency ”. Adrian Weller (2017-07-29). “

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. You may also remember UMBC from the miracle at the 2018 NCAA Tournament.) Introduction.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? However – as is often the case with issues I deal with on this blog – fact-based decision-making is easier to say than it is to achieve.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Cloudera

FEBRUARY 11, 2019

Ensuring consistency of these aspects (data context) between different systems typically falls to IT, introducing not only additional costs due to increased staff overheads but also reducing time to insight and increased risk for the business as a whole. Governing for compliance.

Digital Transformation 56

Digital Transformation Data Governance Data Warehouse Data-driven 56

Cloudera

NOVEMBER 9, 2018

While such a city might sound like a utopian dream, it could potentially turn into a dystopian nightmare if we overlook the risks brought about by the rise of smart cities. Reflect back on the recent SingHealth breach in Singapore, in which non-medical personal data of 1.5

IoT 56

IoT Machine Learning Internet of Things Data Collection 56

Cloudera

SEPTEMBER 4, 2018

In 2018, new regulations have come into effect that push financial institutions to determine the ultimate beneficial owner (UBO) of shell companies as part of their customer due diligence process. The post AML: Past, Present and Future Part I appeared first on Cloudera Blog.

Reporting 42

Reporting Finance Sales Marketing 42

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 95

Technology Insurance Strategy Marketing 95

IBM Big Data Hub

FEBRUARY 16, 2022

As a CDO weaves data decisions into daily workflows, their success is measured along three dimensions: Growth of the top line. Reduction of risk. As CDO at IBM, an essential part is being an evangelist for data literacy and data democratization in service of those dimensions above. By building a data-first culture.

Strategy 73

Strategy Data Strategy Risk Enterprise 73

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. 9) Data Automation. How can we make it happen? And it’s completely free!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services. This can expose businesses to a great deal of risk.

Cost-Benefit 105

Cost-Benefit Modeling Data-driven Enterprise 105