datapine

OCTOBER 17, 2019

As Tyrone Cotie, treasurer of Clearwater Seafoods says in 2015 Benchmarking the Accounting & Finance Function report , “…no matter how quickly you compile and release historical financial statements, you never make a decision from them. They’re also slow. Who are my most profitable clients?

Reporting 263

Reporting Management Dashboards KPI 263

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

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

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. On a bodily scale, when touching one’s nose by accident.

Uncertainty 273

Uncertainty Testing Risk Reporting 273

Cloudera

NOVEMBER 15, 2021

For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. Source Integrity and Measurement Accuracy : ensuring that prior human decisions and judgments (e.g., The rate of data growth is reflected in the proliferation of storage centres. And data moves around. Zettabytes per year.

Unstructured Data 88

Unstructured Data Recreation/Entertainment Structured Data Reporting 88

AWS Big Data

OCTOBER 23, 2023

For interactive applications, Athena Spark allows you to spend less time waiting and be more productive, with application startup time in under a second. He joined AWS in 2015 and has been focusing in the big data analytics space since then, helping customers build scalable and robust solutions using AWS analytics services.

Data Lake 104

Data Lake Visualization Optimization Interactive 104

Cloudera

JUNE 16, 2022

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. She needs to measure the streaming telemetry metadata from multiple manufacturing sites for capacity planning to prevent disruptions. Getting started today.

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

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. Whether you log into the website, the mobile device, or interact with an agent, the customer system is queried to determine your relationship with the bank and how you want to interact with us.

ROI 52

ROI Risk Marketing Modeling 52

AWS Big Data

JULY 26, 2023

Using augmented ML search and generative AI with vector embeddings Organizations across all verticals are rapidly adopting generative AI for its ability to handle vast datasets, generate automated content, and provide interactive, human-like responses. Carl has been with Amazon Elasticsearch Service since before it was launched in 2015.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

JUNE 8, 2021

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., Granular computing and decision-making: Interactive and iterative approaches (pp.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

DataRobot Blog

DECEMBER 7, 2019

We compiled our predictions and analysis in the interactive graphic below, showing every player in this free agent class who had a sufficient track record of data to predict: Predicting Contract Terms. However, we also believe we can use AI to predict these good and bad contract risks, and have done so in this analysis as well.

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

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. Almost nothing.

Metrics 141

Metrics Reporting Analytics Marketing 141

DataRobot Blog

APRIL 1, 2018

2] Gartner, Five Reasons to Begin Converging Application and Data Integration , Published: 12 March 2015 Refreshed: 05 February 2018, Analyst(s): Eric Thoo | Keith Guttridge. [3] Interactively explore, combine, and shape diverse datasets into data ready for machine learning and AI applications. Sallam | Shubhangi Vashisth. .

Analytics 40

Analytics IoT Internet of Things B2B 40

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.

Technology 142

Technology Enterprise Consulting Software 142

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

Domino Data Lab

FEBRUARY 4, 2019

The ability to measure results (risk-reducing evidence). After about 2015, the firm followed the herd by introducing yet more sophisticated machine learning techniques; however, since the data science team was already swamped with reporting requirements, they introduced a new team of machine learning engineers. Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66