Cloudera

NOVEMBER 15, 2021

Source Integrity and Measurement Accuracy : ensuring that prior human decisions and judgments (e.g., months since 2012. Governments also hold at least part of the responsibility of building AI national strategies for economic growth and the technological transformation of society.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

IBM Big Data Hub

SEPTEMBER 27, 2022

Add navigating complex compliance regulations and standards to the mix, and the need for a solid and trustworthy AI strategy becomes clear. IBM Research has been developing trustworthy AI tools since 2012. Recently a French banking group was faced with new compliance measures. The principles of AI ethics.

Consulting 52

Consulting Machine Learning Modeling Strategy 52

FineReport

SEPTEMBER 13, 2021

Performance dashboard is a data visualization tool for management, which is often used to measure employees’ performance, while helping business personnel measure, monitor, and manage the key activities and processes required to achieve business goals. Performance dashboard is often used to measure business performance.

Dashboards 52

Dashboards Key Performance Indicator Informatics KPI 52

Smart Data Collective

APRIL 5, 2019

Having a social media strategy also allows you to put yourself level ground with your competitors. Social listening involves paying close attention to public feedback, and having a strategy in place for addressing the needs of your customers in the open.”. Customers are freely handing over data to brands to improve their experience.

Big Data 79

Big Data Interactive Data-driven Metrics 79

AWS Big Data

APRIL 3, 2024

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. You can also use the Amazon DataZone APIs to integrate with external data quality providers, enabling you to maintain a comprehensive and robust data strategy within your AWS environment.

Data Quality 85

Data Quality Visualization Metadata Metrics 85

Domino Data Lab

OCTOBER 7, 2020

The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of samples. This approach provides an automatic and objective strategy for decision making under defined assumptions about the data. Data Has Properties.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

Occam's Razor

OCTOBER 15, 2012

My goal is to get them excited about creating an amazing digital acquisition strategy that delivers noteworthy experiences through their owned digital platforms, and which ultimately delivers bigger profits (usually offline, but online as well). But they are just scratching the surface of what's possible.

Advertising 136

Advertising Marketing Strategy Insurance 136

Occam's Razor

MARCH 12, 2012

Avoiding big disappointment and the hows were on my mind as I prepared my keynote for Strata 2012 Big Data conference. It is not my hope to encourage you to copy/paste the strategy outlined, or to use the tools shown. If we don't answer all those hows big data will be a big disappointment.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

Domino Data Lab

APRIL 3, 2019

Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Smart Data Collective

APRIL 20, 2023

One of the many reasons that they are using big data is to create better content marketing strategies. A content marketing strategy can help businesses establish brand awareness, increase conversions, and connect with their target audience. Why Is Data Important in Content Marketing?

Marketing 78

Marketing Strategy Big Data ROI 78

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. 2012): 25-46. This is often referred to as the positivity assumption. Political Analysis 20.1 2014): 243-263.

Statistics 44

Statistics Optimization Modeling Experimentation 44

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., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. TensorBoard is a tool that provides the measurements and visualizations needed to help inspect, debug, and iterate during the machine learning workflow. Today, the sexy is starting to lose its shine.

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. zettabytes in 2012. That’s a lot of data per person on our little globe, by any measure. This is an increase from 64.2

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

Occam's Razor

DECEMBER 3, 2012

But a robust digital marketing strategy for medium- or large-sized businesses encompasses so much more. What is a good way to self-identify gaps in strategy, to discover the mistakes that might be making your strategy sub-optimal? Is Your Digital Strategy Magnificent? Reality, as is its wont, is much more complex.

Marketing 147

Marketing Advertising Strategy Optimization 147

The Unofficial Google Data Science Blog

APRIL 17, 2017

First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. In the first plot, the raw weekly actuals (in red) are adjusted for a level change in September 2011 and an anomalous spike near October 2012.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. It is pretty obvious to a data scientist that the only way one can measure the effect of an event is by knowing which events are happening at what time. What is MMM?

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Smart Data Collective

SEPTEMBER 17, 2020

In 2012, Google boasted about its capabilities of using big data to create storytelling via interactive maps. Maptive also allows users to save the radii for future use so that you can precisely utilize the same measurement multiple times on one map. The highly intuitive data interface provided by Google Maps can be very helpful.

Visualization 130

Visualization Big Data Cost-Benefit Data mining 130

Occam's Razor

SEPTEMBER 4, 2012

… But I was thrilled to see my utility marketing strategy in action! So, what is your company's mobile strategy? If you don't, it is time to future-proof your marketing strategy, because the world is most definitely moving to utility marketing. Why not use that data to find new monetization strategies?

Marketing 144

Marketing Data mining Measurement Strategy 144

Occam's Razor

JANUARY 10, 2011

10% of your time should be spent in implementing tools, not 15 months with an eye towards analysis in the middle of 2012. Use Kissmetrics or 4Q and measure primary purpose by task completion. I can't measure if the person voted. I can measure that they came. I can measure that they signed up for a lead.

Analytics 120

Analytics Measurement Data-driven Optimization 120

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

AUGUST 8, 2019

Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. Then rethink your hiring strategies w.r.t. Afterward, I headed quietly back to my laptop for some light coding to recover. Or something. Nothing Spreads Like Fear”. what Chris describes. The best words.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

AUGUST 27, 2019

The measurement may be biased if our samples are generated from a procedure that samples without replacement, such as reservoir sampling , especially if some items have disproportionate weight, i.e., $p(v_i) cdot n$ is large. There are many strategies we can use to estimate this quantity, and we will discuss each option in detail.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Insight

DECEMBER 30, 2019

LeNet-5: A classic CNN architecture Since LeNet-5, there have been many different CNN architectures developed over the years, such as AlexNet (2012), GoogLeNet (2014), VGGNet (2014), and ResNet (2015). a circuit) and you measure the output signal, f(t) , given an exceedingly narrow input pulse (approximated as a Dirac delta function).

Visualization 72

Visualization Modeling Machine Learning IT 72

Sisense

JULY 23, 2021

London 2012 signaled the start of the Games organizers evolving the way they collect and manage data. “We’ve We’ve had a growing realization that we need to measure the Games more precisely so that we can manage it more effectively going forward,” Chris says. Using data to create a more modern Olympics.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

datapine

MAY 17, 2021

Businesses can benefit from improved data driven decision making as well as enhanced business processes and models and share insights across departments more fluently while propelling intelligent business strategies. For example, the marketing team should be able to quickly access IT metrics to support their e-commerce strategies.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

But this does not mean that the slice will continue to exhibit an extreme value on this measurement in the future. By keeping in mind the need to control for bias in observational data and the strategies employed in the design of observational trials to do so, we can check our own thinking during an exploratory analysis of observational data.

Experimentation 61

Experimentation Testing Statistics Metrics 61