The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. And like a lot of near-future SciFi, it’s remarkably prescient.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188

CIO Business Intelligence

AUGUST 28, 2023

There’s no common interface or language and each platform captures different metrics,” explains Johan Marais, senior platform services manager at Discovery Holdings. Between 2018 and 2019, our AWS cloud investment doubled while more effective management and waste reduction led to a 40 percent decrease in costs.”

Cost-Benefit 84

Cost-Benefit Insurance Risk Management 84

CIO Business Intelligence

NOVEMBER 9, 2022

Having that roadmap from the start helps to trim down and focus on the actual metrics to create. Have a data governance plan as well to validate and keep the metrics clean. As soon as one metric is not accurate it is hard to get the buy-in again, so routinely confirming accuracy on all analytics is extremely important.”

Analytics 136

Analytics Slice and Dice Metrics Sales 136

CIO Business Intelligence

MAY 16, 2022

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. How does ITIL help business? How does ITIL reduce costs?

IT 103

IT Cost-Benefit ROI Risk 103

O'Reilly on Data

APRIL 19, 2021

In contrast, in our 2018 report, Asia was behind in mature practices, though it had a markedly higher number of respondents in the “early adopter” or “exploring” stages. When we asked respondents with mature practices what risks they checked for, 71% said “unexpected outcomes or predictions.” Risks checked for during development.

Enterprise 353

Enterprise Modeling Risk Manufacturing 353

Cloudera

MARCH 3, 2022

stemmed from a 2018 data breach, when the global hotel chain’s 339 million customers’ data was exposed. 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 98

Data Governance Enterprise Data Quality Metadata 98

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions. Fractal’s 2018 Net Promoter Score is greater than 70. Incorporate these into subsequent releases.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Done right, strategic forecasts can provide insights to decision makers on trends, incorporate forward-looking knowledge of product plans and technology roadmaps when relevant, expose the risks and biases of relying on any one forecasting methodology, and invite input from stakeholders on the uncertainty ranges.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

IBM Big Data Hub

OCTOBER 16, 2023

While the US doesn’t have a single data privacy law at the federal level, the California Consumer Privacy Act of 2018 is one of the most ambitious data privacy legislation ever enacted in the US, much like European Union’s GDPR. This choice impacts regulatory compliance and mitigates potential risks.

Cost-Benefit 68

Cost-Benefit Data Governance Risk Data-driven 68

Alation

APRIL 12, 2022

Between 2010 and 2018 the number of CDOs present in Fortune 1500 companies increased nearly 8-fold. On the other, a data free-for-all creates risk—not only of data leaks with regulatory penalties, but also of inefficiency, as the same work and assets may be duplicated across the organization. Protecting Sensitive Data.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

Alation

MARCH 21, 2023

What’s more, many companies struggle with rigid legacy technologies that increase the risk of a data breach. Otherwise, they risk a data privacy violation. Finnair Finland’s national airline, Finnair , wanted to break down data silos to standardize metrics and support better communication across teams.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Insight

MARCH 18, 2019

Equality vs Equity (Source: Interaction Institute for Social Change | Artist: Angus Maguire ) Defining a fairness metric To define fairness in this context, we used a p% rule, a generic version of the 80% rule used to quantify the fairness of a model (there are other methods proposed by researchers). 5 is labeled as low.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

Data Insight

APRIL 15, 2019

Here are five reasons why data should be fundamental to everything your business does in 2018. David Rajan, director of technology for Oracle, found that 77 percent of CIOs thought data should appear on the balance sheet as a key metric to define the value of a business. Consumers now have an infinite choice at their fingertips.

Data-driven 45

Data-driven Risk Interactive Metrics 45

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. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smart Data Collective

DECEMBER 18, 2020

There is a whole host of alternative solutions on hand for companies happy to pay a premium in order to retain a deep level of metrics alongside security, and Countly is one example of a platform that promises ‘secure web analytics’. Although you have to request a demo to get started.

Analytics 82

Analytics Broadcasting Measurement Data Processing 82

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. This leads to wasted time and effort during research and collaboration or, worse, compliance risk.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

Peter James Thomas

AUGUST 12, 2018

Some systems (even in 2018) can still make it harder to capture good data than to ram in bad. Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). What metrics are used to evaluate success? By mid-2018, use of AutoML had captured little interest in enterprise—only a single digit percentage among our respondents for the first survey.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Anmut

FEBRUARY 3, 2021

A number that’s grown 10X since 2018. It underpins investment decisions, M&A deals, performance metrics and performance reporting. 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. This will impact on the private sector over time.

Management 52

Management Data Strategy Big Data Strategy 52

Data Insight

APRIL 15, 2019

If you look at the metrics of what defines business success from a leadership perspective, a traditional business measurement used to be all about profit and loss, production, efficiency and productivity. That’s a massive shift in quite a short time frame from traditional metrics without us even realising it.

Data-driven 40

Data-driven Metrics Measurement Strategy 40

Jet Global

JANUARY 28, 2020

Gartner reported in 2018 that information executives believed the output and overall value of self-service analytics would exceed that of professional data scientists by 2019. With so much of the work done manually, there’s a high risk for errors and omissions corrupting the data and making the reports uncertain.

Reporting 49

Reporting Data-driven Software Risk 49

Cloudera

AUGUST 6, 2018

Only 3 years later, in 2018 the organization has received a total of 75 million messages. This is important because unlike diabetes or high blood pressure we don’t yet have clear metrics for Parkinson’s. Indeed, as Stefaan Verhulst, co-founder of GovLab, says : “An increased use of data is not risk-free.

Machine Learning 50

Machine Learning Internet of Things Cost-Benefit Data-driven 50

Jet Global

MAY 27, 2021

However, fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer increases day by day: Discoverer extended support ended June 2017. FireFox: September 2018. The longer you delay your move away from Discoverer, the greater the risk you’ll be left high and dry.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

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

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. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Insight

MARCH 28, 2019

For the Fall 2018 session of the Insight Fellows Program in NYC, we launched a new partnership with Thinknum , a company that provides alternative data indexed from the web to institutional investors and corporations? Yanxia then used a combination of quantitative and qualitative metrics to interpret each topic group identified by LDA.

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

Domino Data Lab

JULY 22, 2019

The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” ” If you don’t know, there were hundreds of millions of people affected worldwide during 2018 with security breaches and then data privacy leakage. You see these drivers involving risk and cost, but also opportunity.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109