Cloudera

MAY 18, 2021

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Risk 99

Risk Marketing Risk Management Data-driven 99

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

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.

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Testing Behavioral Analytics Data-driven Big Data 131

Smart Data Collective

AUGUST 9, 2022

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Big data technology is becoming more important in the field of cybersecurity. As the demand for cybersecurity solutions grows, the need for data-savvy experts will rise accordingly. Categorizing data.

Big Data 126

Big Data Technology Testing Cost-Benefit 126

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. Unlike labels, embeddings are learned from the training data, not produced by humans.

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IT Modeling Testing Risk 346

John Wheeler

MARCH 6, 2019

It has been 5 years since Gartner embarked on the journey to enhance our coverage of the risk management technology marketplace. That journey included in-depth survey research and countless interactions with our end-user clients to understand their need to better manage strategic, operational and IT/cybersecurity risks.

Risk Management 77

Risk Management Risk Data-driven Marketing 77

CIO Business Intelligence

MAY 29, 2024

For many, this spring’s RSA show was an energized, optimistic experience, similar to the pre-pandemic years of 2017-2019. Enterprises are investing significant budget dollars in AI startups focused on threat detection, identity verification and management, cloud/data security, and deception security. For CISOs, the messages were clear.

Machine Learning 133

Machine Learning Enterprise Data-driven Modeling 133

Smart Data Collective

JULY 17, 2019

Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. In 2017, the number of seniors over the age of 65 reached a record 1 billion people. The benefits of this are threefold: Artificial intelligence-driven robots reduce the need for human workers.

Machine Learning 106

Machine Learning Cost-Benefit Advertising IoT 106

CIO Business Intelligence

DECEMBER 7, 2023

And the key to success is having data that can be analyzed for actionable insights. But until recently , gathering accurate and timely data from multiple sources had been challenging for the local island governments because of a lack of equipment, process and format standardization, technology, and human resources.

Internet of Things 108

Internet of Things IoT Forecasting Digital Transformation 108

DataRobot Blog

MAY 25, 2022

The DataRobot AI Cloud Platform can also help identify infrastructure and buildings at risk of damage from natural disasters. In 2017, Hurricane Harvey struck the U.S. DataRobot combines these datasets and data types into one training dataset used to build models for predicting whether a building will be damaged in the hurricane.

Risk 52

Risk Insurance Predictive Modeling Predictive Analytics 52

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

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CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The suite, according to the company, consists of three layers: Cropin Apps, the Cropin Data Hub and Cropin Intelligence.

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B2B Contextual Data Deep Learning IoT 105

CIO Business Intelligence

AUGUST 23, 2024

As cyber threats become more sophisticated, educational institutions are compelled to provide their students with the skills necessary to navigate and mitigate these risks effectively. According to the 2020 Cost of a Data Breach Report by IBM, the average total cost of a data breach globally reached $3.86

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Testing Statistics Risk Data-driven 111

Smart Data Collective

FEBRUARY 23, 2021

We have talked extensively about the multitude of benefits that big data provides to companies in every sector. While most of our discussions focus around the financial benefits of data technology to these organizations, there are some more holistic advantages as well. Aiming to support the 2.1 Stop and Think SAFE.

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Big Data Advertising Data-driven Technology 110

Alation

FEBRUARY 13, 2020

. - Andreas Kohlmaier, Head of Data Engineering at Munich Re 1. --> Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, interviews Andreas Kohlmaier, Head of Data Engineering at Munich Re. Sometimes they didn’t really know about each other.

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Data-driven Data Lake Enterprise Analytics 52

Cloudera

MARCH 30, 2022

Sometimes it takes a billion-dollar mistake to bring the murkier side of data ethics into sharp focus. Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally. The ongoing challenges of the data-driven business model.

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Data-driven Marketing Measurement Modeling 120

Smart Data Collective

SEPTEMBER 30, 2022

The landscape of blockchain-driven solutions: from 2018 to 2022. In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance. This way, all data becomes auditable to every chain participant on an event-level basis.

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Advertising Marketing Technology Uncertainty 145

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

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Metadata Data Science Machine Learning Data-driven 105

CIO Business Intelligence

JANUARY 23, 2023

the OpenAI model on which ChatGPT is based, is an example of a transformer, a deep learning technique developed by Google in 2017 to tackle problems in natural language processing. The risk there — aside from making the internet useless to humans — is that it will pollute the very resource needed to train better AIs.

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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. In 2019, the U.K.’s

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Data Governance Enterprise Data Quality Metadata 100

Jet Global

OCTOBER 8, 2020

Most operational finance activities are driven by the month end and ledger close, typically involving a web of steps including transaction processing, reconciliation, journal entry capture, and financial statement preparation. It also decreases the risk of errors by eliminating disjointed, manual processes.

Finance 98

Finance Reporting Forecasting Uncertainty 98

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” The inherent capabilities of AI–to process vast amounts of data and use learned intelligence to make decisions with extraordinary speed–enable opportunities uncovered through digital listening. McKinsey & Company’s 2022 Global Survey on AI says , “AI adoption globally is 2.5x

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Advertising Recreation/Entertainment Experimentation Data Collection 105

IBM Big Data Hub

FEBRUARY 20, 2024

The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. The United Nations’ Intergovernmental Panel on Climate Change (IPCC) predicts people living in Africa, Australia, North America and Europe will face health risks due to rising temperatures and heat waves.

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Forecasting Modeling Reporting Risk 113

BizAcuity

MARCH 25, 2019

This is resulting in the largest event management companies across this sector spending more than $43 billion on revenue analytics – which is a multi-dimensional and evolving field harnessing statistics, Artificial Intelligence and other tools to identify meaningful patterns in large data sets. Image Source: [link].

Analytics 74

Analytics Dashboards Sales Marketing 74

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management. Not just that.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Domino Data Lab

MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. 1998) and others).

Machine Learning 136

Machine Learning Metrics Data mining Data Science 136

CIO Business Intelligence

MAY 2, 2024

Yet, these fundamental work activities expose organizations to a wide range of security risks, like data leaks, identity and password theft, malicious browser extensions, phishing sites and more. Today’s modern enterprise employees rely heavily on browser-based services and SaaS applications.

IT 59

IT Risk Enterprise Data-driven 59

Cloudera

SEPTEMBER 10, 2021

Across the federal government, agencies are struggling to identify, organize, analyze, and act on troves of data. It’s a problem that leaders are working actively to tackle, but they’re in a race against immeasurable volumes of data that is continuously being generated in perpetuity in stores known and unknown.

Machine Learning 69

Machine Learning Statistics Data-driven Big Data 69

Jet Global

JULY 29, 2020

For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. Note that extended support for Oracle Discoverer ended in 2017. There is a significant risk with unsupported products. Real-Time Reporting Solutions for Oracle EBS.

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Reporting Cost-Benefit Consulting Finance 98

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)). Strata Data London.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

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. Modern data warehousing. Grow your business.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

Alation

JUNE 23, 2022

Alation has been named the #1 data catalog in Dresner’s 2022 Wisdom of Crowds report for the sixth consecutive year! To arrive at a ranking, report authors interviewed and surveyed real data catalog users. In this way, report authors have furnished a useful buyer’s guide for prospective data catalog users. Key findings.

Reporting 52

Reporting Data Governance Data-driven Digital Transformation 52

Data Insight

APRIL 15, 2019

By Carmen Vicelich, Data Insight CEO Background: The ‘WannaCry’ Cyber Attack of 2017 This week’s global cyberattack on hundreds of thousands of businesses is yet another reminder of the importance of business data security. But with data comes risk.

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Risk Insurance Data-driven Big Data 40

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. The evolution from Data Governance 1.0

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Data Governance ROI Risk Management Metadata 40

Data Insight

APRIL 15, 2019

“ It’s no coincidence that Google, Amazon and some of the most valuable companies in the world today were built not on product but on data from the outset.” We are now living in a world that is increasingly driven by data thanks to the emergence of digital and cloud-based technologies and the proliferation of social mobility.

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Data-driven Metrics Measurement Strategy 40

bridgei2i

FEBRUARY 8, 2019

A 2017 white paper produced by Harvard Business Review in collaboration with Apttus states that “B2B revenue generation processes offer huge opportunities to benefit from the (AI) technologies.” Fortunately, AI is here to help, with algorithms that predict opportunities with a high chance of closing and those that are at high risk.

Sales 40

Sales B2B Cost-Benefit Structured Data 40

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data?

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Metadata Data Governance Dashboards Software 64