CIO Business Intelligence

NOVEMBER 7, 2022

However, the measure of success has been historically at odds with the number of projects said to be overrunning or underperforming, as Panorama has noted that organizations have lowered their standards of success. The first go-live date was November 2015. million in implementation costs. But things began to slip.

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

IBM Big Data Hub

AUGUST 11, 2023

These insights can help drive decisions in business, and advance the design and testing of applications. Conduct validation in the error process—This method measures how good the guesswork was by comparing it to known examples when available.

Data Science 58

Data Science Machine Learning Cost-Benefit Deep Learning 58

IBM Big Data Hub

AUGUST 8, 2023

and China, but also in developing countries where outdated equipment must be replaced or brought up to modern standards to meet the goals set out by the 2015 Paris Climate accords. Climate change mitigation will require significant investments in sustainable transportation infrastructure, not just in Europe, the U.S.

Internet of Things 71

Internet of Things IoT Cost-Benefit Optimization 71

Data Science and Beyond

JULY 28, 2017

I decided to apply for a data wrangler position with Automattic in October 2015. I wasn’t in a huge rush to find a job, but in December 2015 I decided to accept an offer to become the head of data science at Car Next Door. Step 4: Pass the pre-trial test. Step 1: Do background research and apply.

Data Science 81

Data Science Testing Measurement Uncertainty 81

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. Fox Foundation is testing a watch-type wearable device in Australia to continuously monitor the symptoms of patients with Parkinson’s disease.

Machine Learning 49

Machine Learning Internet of Things Cost-Benefit Data-driven 49

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

Rita Sallam

APRIL 2, 2023

For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. When exploring river and coastal flooding for the USA on a city level, river flooding area had a drastic increase starting from 2015. Here is the link to Tellius’s Show Floor Showdown video.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns. Allocate some of your aforementioned 15% budget to experimentation and testing. This blog is about the joys of measurement and the transformative power of data.

Marketing 140

Marketing B2B Measurement Risk 140

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation 95

Experimentation Statistics Testing Strategy 95

IBM Big Data Hub

FEBRUARY 22, 2024

But it’s equally important that they have a deep understanding of the risks and limitations of AI and how to implement the appropriate security measures and ethics guardrails. Note: These measures of responsibility must be interpretable by AI non-experts (without “mathsplaining”). This is misguided.

Metadata 102

Metadata Measurement Risk Modeling 102

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. See Hainmueller (2012), and the work of Zhao & Percival (2015) for more details on how this optimization problem is solved, and for further discussion.

Statistics 44

Statistics Optimization Modeling Experimentation 44

AWS Big Data

JULY 26, 2023

The vector engine’s compute capacity used for data ingestion, and search and query are measured in OpenSearch Compute Units (OCUs). From preview to GA and beyond Today, we are excited to announce the preview of the vector engine, making it available for you to begin testing it out immediately.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Occam's Razor

DECEMBER 3, 2012

And here's the test to apply to your brand: Would you want your brand's posts to in your own newsfeed every day? Another test to apply: How are you doing in terms of Conversation Rate, Amplification Rate, Applause Rate ? Do you have a 2009, 2012, 2015 mobile strategy? You are ready for 2015! Almost no shouting.

Marketing 147

Marketing Advertising Strategy Optimization 147

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42

Insight

JUNE 10, 2019

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. Transfer learning applied to ResNet50 CNN Training results The final accuracy of the model, when tested on a subset of the training data, was 97%.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Occam's Razor

JANUARY 31, 2017

The latter is especially important because it directly ties to what content the ads/marketing should contain, what the tone and texture should be of the landing page/app experience, and what we'll use to measure success (S, T, D, C metrics). " Notice the subtle shift in posture as well. The so what was $80 million in missed revenue.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Domino Data Lab

JULY 1, 2021

Finally, we split the resulting dataset into a training and hold-out set, so that we can measure the performance of the classifier on unseen data. random_state=1234) print("Number of sentences in the training dataset: {}" format(len(X_train))) print("Number of sentences in the test dataset : {}" format(len(X_test))).

Modeling 111

Modeling Statistics Testing Metrics 111

CIO Business Intelligence

MAY 17, 2022

Around 2015, Capital One went to AWS re:Invent and set forth our aspirational goal to modernize our entire technology infrastructure. How do you measure the data platform’s ROI and what are the results you’re seeing with Cassandra? The biggest thing we did was data testing. It’s always available. It’s always there for us.

ROI 52

ROI Risk Marketing Modeling 52

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Posteriors are useful to understand the system, measure accuracy, and make better decisions. Methods like the Poisson bootstrap can help us measure the variability of $t$, but don’t give us posteriors either, particularly since good high-dimensional estimators aren’t unbiased. Figure 4 shows the results of such a test.

KDD 40

KDD Testing Machine Learning Modeling 40

AWS Big Data

OCTOBER 23, 2023

Then to perform more complex data analysis such as regression tests and time series forecasting, you can use Apache Spark with Python, which allows you to take advantage of a rich ecosystem of libraries, including data visualization in Matplot, Seaborn, and Plotly. To learn more about Athena Spark, refer to Amazon Athena for Apache Spark.

Data Lake 101

Data Lake Visualization Optimization Interactive 101

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Remember my stress earlier on measuring micro-outcomes?). Framing the Opportunity.

Metrics 141

Metrics Reporting Analytics Marketing 141

O'Reilly on Data

DECEMBER 9, 2019

We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses. The probability of an event should be measured empirically by repeating similar experiments ad nauseam —either in reality or hypothetically. Frequently used interpretation of probability.

Statistics 27

Statistics Uncertainty Risk Marketing 27

datapine

SEPTEMBER 4, 2023

Your Chance: Want to test a powerful data visualization software? For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Your Chance: Want to test a powerful data visualization software? Back in 2015, when around 46.3 Your Chance: Want to test a powerful data visualization software?

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Domino Data Lab

AUGUST 1, 2021

After forming the X and y variables, we split the data into training and test sets. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. 2015) for additional details. For sample 23 from the test set, the model is leaning towards a bad credit prediction.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

DECEMBER 28, 2021

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case.

Statistics 363

Statistics Advertising Visualization Data mining 363

CIO Business Intelligence

JULY 6, 2023

Spreading the news Telecom provider AT&T began trialing RPA in 2015 to decrease the number of repetitive tasks, such as order entry, for its service delivery group. Another good practice is to test and learn from solutions early and often. Track, measure, and reuse. Pilot to accelerate results.

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

Ontotext

FEBRUARY 2, 2021

Attempts to manipulate share prices by using social media to spread false or misleading information about stocks lead to the SEC’s Investor Alert of 2015, warning institutional investors about the possible impact of social media. However, it is difficult to map the r/WallStreetBets events to the classic financial fraud models.

Marketing 59

Marketing Measurement Cost-Benefit Risk 59

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Tableau buys Narrative Science.

Enterprise 143

Enterprise Technology Consulting Software 143

Occam's Razor

FEBRUARY 9, 2015

It is 2015. Structure tests to validate these hypotheses. In each case, frame it as a hypothesis, test it, make bigger changes. It is nice to have that as a measure of loyalty to the site. (I'm You had to rely on 300 surveys filled out by badgering people on street corners or when they are having dinners at home.

Metrics 155

Metrics Reporting IT Advertising 155

Occam's Razor

OCTOBER 12, 2017

When you go to the interview, the hiring company will proceed to ask questions that test your competency in the listed job requirements. Test for analytics experience AND explore the level of analytical thinking the job candidate possesses. There is one other video I want you to watch, from the 2015 edition. This is normal.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

O'Reilly on Data

JUNE 16, 2020

Thinking in Bets , Annie Duke’s 2018 book about making decisions under uncertainty, has many analogous examples operating under both risk and uncertainty, such as the infamous 2015 Super Bowl XLIX Seahawks’ decision to pass the ball in the final 26 seconds. This may be true, but the downside risk in this case could be fatal.

Uncertainty 276

Uncertainty Testing Risk Reporting 276