Data Science 101

APRIL 26, 2019

Gopher Data – Gophers doing data analysis, no schedule events, last blog post was 2017 Gopher Notes – Golang in Jupyter Notebooks Lgo – Interactive programming with Jupyter for Golang Gota – Data frames for Go, “The API is still in flux so use at your own risk.” Thoughts from the Community.

Data Science 111

Data Science Machine Learning Interactive Risk 111

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cost-Benefit 83

Cost-Benefit Data Architecture Risk IoT 83

Smart Data Collective

MAY 4, 2023

Unfortunately, there are often many weak links in the data security infrastructure, which can increase the risks of data breaches. However, the Identity Theft Resource Center reports a 68% increase in data breaches at corporations in 2021, surpassing the previous record rise of 23% in 2017.

Risk Management 77

Risk Management Key Performance Indicator Measurement Risk 77

John Wheeler

FEBRUARY 11, 2019

In the span of a week, the integrated risk management (IRM) technology market has experienced significant consolidation. Four vendors from Gartner’s inaugural 2018 IRM Magic Quadrant have joined forces to evolve their legacy governance, risk and compliance (GRC) offerings to better compete in the IRM market (see figure below).

Marketing 45

Marketing Risk Management Risk Forecasting 45

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.

Modeling 128

Modeling Forecasting Reporting Risk 128

IBM Big Data Hub

AUGUST 1, 2023

We are bringing the power of foundation models with the availability of a GPU as a service on IBM Cloud offering to help organizations tap into artificial intelligence (AI) in a secured environment while aiming to mitigate third- and fourth-party risk.

Digital Transformation 72

Digital Transformation Risk Data Processing Enterprise 72

IBM Big Data Hub

FEBRUARY 8, 2024

1 Slowly but surely, institutional investors started to recognize that companies could potentially improve financial performance and risk management by focusing on ESG issues like greenhouse gas emissions. The total—$639 billion—shed light on how shareholders were starting to invest out of principle versus strictly profit.

Measurement 93

Measurement Metrics Reporting Strategy 93

datapine

APRIL 14, 2022

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. Behind the scenes. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Cloudera

MARCH 3, 2022

In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments.

Data Governance 95

Data Governance Enterprise Data Quality Metadata 95

John Wheeler

NOVEMBER 12, 2018

In our ongoing coverage of Integrated Risk Management (IRM) technology and service providers, the relevance and frequency of client inquiry related to Governance, Risk & Compliance (GRC) continues to decline. In 2017, 28% of our relevant client inquiry related to GRC topics.

Risk Management 49

Risk Management Risk Technology Management 49

Cloudera

MAY 15, 2018

My narrower vision of the next advancement in analytics is driven (or biased) by my quantitative risk management background and the critical role that computational simulation capabilities have played in many advances in the world of finance. Derman (2016), Cesa (2017) & Bouchard (2018)). Blog Post, Nov-2016. Mauro Cesa. “A

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

O'Reilly on Data

JANUARY 22, 2019

In this blog post, we explore three types of errors inherent in all financial models, with a simple example of a model in TensorFlow Probability (TFP). Yet, finance textbooks, programs, and professionals continue to use the normal distribution in their asset valuation and risk models because of its simplicity and analytical tractability.

Modeling 134

Modeling Finance Uncertainty Data mining 134

Cloudera

SEPTEMBER 10, 2021

By more effectively leveraging its petabytes of current and historical data, the IRS is working to stave off costly fraud and waste, more efficiently deliver on fundamental missions, and better protect taxpayers, including from risks such as identity theft. Visit our website or view our recent industry event featuring the IRS and Nvidia.

Machine Learning 66

Machine Learning Statistics Data-driven Big Data 66

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . In a blog on Medium, author Rob Walker posits: “It would have been smart to think ahead about how neo-Nazis might use Twitter, how pedophiles might use YouTube, or how a mass murderer might use Facebook Live.” . “By The answer is not obvious.

Machine Learning 114

Machine Learning Big Data Consulting Technology 114

Cloudera

MARCH 30, 2022

Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally. If they’re not, there’s a risk that the organization becomes a black box, processes and decisions on data become siloed, and ethics aren’t applied properly.”. appeared first on Cloudera Blog.

Data-driven 114

Data-driven Marketing Measurement Modeling 114

Cloudera

APRIL 7, 2021

A 2017 PWC survey of over 100 global insurance company CEOs revealed that the number one objective of these CEOs was to “get closer to their customers and to better understand their evolving needs.” The post The Journey to Understanding your Insurance Customers appeared first on Cloudera Blog. Download the whitepaper.

Insurance 57

Insurance Digital Transformation Internet of Things IoT 57

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. For inspiration, check out the list of 2017 Data Impact Award winners. Watch the highlights from the 2017 Cloudera Data Impact Awards in New York City. The post Nominations Now Open for the Sixth Annual Cloudera Data Impact Awards appeared first on Cloudera Blog.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

erwin

JULY 30, 2020

was released in 2017. It’s tried and tested from an enterprise perspective and an in-demand certification for enterprise architects, so there are relatively low risks associated with adopting it. In 2008, the ownership of the brand was transferred to The Open Group, who have since revised and upgraded the standard.

Enterprise 138

Enterprise Visualization Modeling Testing 138

Andrew White

JUNE 3, 2022

One of blogs in 2016 teed up some ideas I was working on at the time: Where You Spend Your Firms’ Capital Matters. This was followed up in 2017 with More on How Firms Make Capital Decisions. Others may include a firms risk appetite, which might lead to self-enforced success. But there are different kinds of capital.

ROI 52

ROI Publishing Analytics Data Science 52

IBM Big Data Hub

MAY 26, 2023

In 2017, 94% of hospitals used electronic clinical data from their EHR. With the growth in usage of digital technology and cloud in the life sciences industry, digital information is more readily available and at a greater risk for exploitation.

Consulting 86

Consulting Cost-Benefit Optimization Machine Learning 86

CIO Business Intelligence

APRIL 24, 2023

How we got here The most notable enabling technologies in generative AI are deep learning, embeddings, transfer learning (all of which emerged in the early to mid-2000s), and neural net transformers (invented in 2017). One of the most important of such architectures, the “transformer,” was developed in 2017.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

IBM Big Data Hub

JULY 19, 2023

Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. The burden from growing event volumes is reflected in budgets that are expected to grow from an estimated USD 4 billion in 2017 to over 6 billion by 2020. Fairness : AI models should treat all groups equitably.

Consulting 69

Consulting Machine Learning Manufacturing Optimization 69

BizAcuity

NOVEMBER 4, 2019

Today, online gaming accounts for a major chunk of the industry, which was estimated to have generated $116bn in 2017 alone. Traditionally, in-game assets are kept in servers and this leaves them with the risk of being duplicated. Blockchain grants gamers full control over their virtual assets.

Cost-Benefit 83

Cost-Benefit Data Processing Marketing Interactive 83

Alation

FEBRUARY 13, 2020

We also have some primary insurance entities in the group, but the main thing about reinsurance is that we’re taking care of the big and complex risks in the world. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

BizAcuity

MARCH 25, 2019

Digital revenue (analytics and data driven) is more capital efficient than analog revenue with both requiring capital investment and engender liquidity risk. The below mentioned chart shows how Digital Revenue beats Analog Revenue according to the Gartner Data and Analytics Leadership Vision for 2017 Report.

Analytics 74

Analytics Dashboards Sales Marketing 74

Alation

NOVEMBER 28, 2022

Any spreadsheet platform poses risks. So in 2017, we created Kloudio to solve this ubiquitous problem and support this nontechnical user: product managers, financial analysts, marketing ops teams, sales ops teams, etc. Read the overview blog: Alation Connected Sheets Brings Trust to Spreadsheets. Subscribe to Alation's Blog.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Cloudera

JANUARY 8, 2018

To many, compliance leads to the avoidance of risk – avoiding big fines and damaged reputation. Originally published in SC Magazine , November 21st, 2017. The post The three certainties in life: death, taxes and GDPR appeared first on Cloudera Blog. The GDPR clock is ticking.

Data Warehouse 41

Data Warehouse Risk Big Data Technology 41

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. Their issue at hand was to decrease the Portfolio at Risk. According to a Federal Bank report, more than $600 billion of household debt in the U.S. Out of which, $400 billion is delinquent for more than 90 days. This shows the need to rectify this issue before it becomes a crisis.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

bridgei2i

FEBRUARY 21, 2019

Applications usually cover risk computation, lead scoring, price-bots, external data feeds and sales leaderboards etc. Consider these: Popular AIML blog machinelearnings.co A textbook example of t raditional analytics techniques revolving around structured data in global enterprise sales organizations. And sales leaders know this.

Sales 40

Sales Structured Data Forecasting Enterprise 40

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. The post AI for Climate Change and Weather Risk appeared first on DataRobot AI Cloud. Gulf Coast and caused approximately $125 billion in damage. Learn more.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR. Citations. [1]

Risk 92

Risk Marketing Risk Management Data-driven 92

The Unofficial Google Data Science Blog

APRIL 17, 2017

Facebook in a recent blog post unveiled Prophet , which is also a regression-based forecasting tool. Such a model risks conflating important aspects, notably the growth trend, with other less critical aspects. In other words, there is an asymmetry of risk-reward when there exists the possibility of misspecifying the weights in $X_C$.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

IBM Big Data Hub

FEBRUARY 6, 2024

AliPay also introduced its “Smile to Pay” facial recognition application on mobile devices in 2017, which allows customers to make purchases by posing in front of point-of-sale machines. Mastercard also announced its pilot of biometric recognition just under two years ago. Council recently banned cashless businesses.

Cost-Benefit 104

Cost-Benefit Finance Sales Risk 104

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. The refrain has been repeated ever since.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? And my favorite topic: what are some of the best books, blogs, podcasts, etc., There are oh-so-many good blogs about data science, and one of my top picks is the go-to site for data visualization, Flowingdata. Wes McKinney (2017).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. While the discussion is about methods and applications, the blog also contains pointers to research papers and to the TensorFlow Lattice package that provides an implementation of these solutions.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ 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 ”. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105