IBM Big Data Hub

NOVEMBER 13, 2023

In 2015, Google donated Kubernetes as a seed technology to the Cloud Native Computing Foundation (CNCF) (link resides outside ibm.com), the open-source, vendor-neutral hub of cloud-native computing. At IBM we are helping clients modernize their applications and optimize their IT infrastructure with Kubernetes and other cloud-native solutions.

Machine Learning 107

Machine Learning Data-driven Software Testing 107

AWS Big Data

FEBRUARY 1, 2023

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. S3 bucket as landing zone We used an S3 bucket as the immediate landing zone of the extracted data, which is further processed and optimized.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

IBM Big Data Hub

FEBRUARY 2, 2024

Businesses may optimize logistics by revaluating supply chain practices ; for example, by making transportation and shipping more efficient or using only suppliers that embrace sustainable practices. AI-powered systems are helping farmers optimize irrigation and reduce water consumption.

Optimization 85

Optimization Cost-Benefit Strategy Reporting 85

IBM Big Data Hub

FEBRUARY 7, 2024

This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles. have capabilities that lead to increased automation, predictive maintenance, self-optimization of process improvements and efficiencies that reduce both emissions and overall costs.

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

Sisense

MARCH 18, 2019

My involvement with Sisense started in mid-2015. Since our target audience covers an entire spectrum of users from the C-Level down to the operational level, our prebuilt dashboards are designed to show high-level metrics when users land on the page and include paths to drill into detail-level data. I got in right at the buying cycle.

Analytics 71

Analytics Dashboards Metrics Visualization 71

Domino Data Lab

SEPTEMBER 9, 2019

For example, with those open source licenses we can download their text, parse, then compare similarity metrics among them: In [12]: pairs = [?. ["mit", "asl"],?. ["asl", "bsd"],?. ["bsd", "mit"] ?]? ?for Since 2015, spaCy has consistently focused on being an open source project (i.e.,

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Smarten

MAY 18, 2022

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy. Which sales representative sold the most pancake mix during April 2015 to May 2019?

Data-driven 69

Data-driven Sales Metrics Analytics 69

Alation

FEBRUARY 20, 2020

Combine machine learning, crowdsourcing, and stewardship by experts to optimize both quantity and quality of information. . If I see a metric in a report, I want to be able to look it up, even if it shouldn’t have been used in the first place. Optimizing for Quality and Quantity. Inventory vs. Catalog. Context is King.

Metrics 52

Metrics Machine Learning Consulting Statistics 52

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. This is essentially the same as finding a truly useful objective to optimize. accounting for effects "orthogonal" to the randomization used in experimentation.

Modeling 63

Modeling Experimentation Knowledge Discovery KDD 63

Sisense

FEBRUARY 24, 2021

But that number rose sharply afterwards, with the team noting there were over 1,000 people in this role by 2015. The right analytics tool will empower the chief data officer to play defense by improving metrics that affect the bottom line and go on offense by generating revenue by monetizing analytics.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

AWS Big Data

JULY 28, 2023

Athena also updated its data connectors with optimizations that improve performance and reduce cost when querying federated data sources. This query is fairly complex: it involves multiple joins and requires special knowledge of the correct way to calculate profit metrics that other end-users may not possess. Pathik Shah is a Sr.

Big Data 87

Big Data Data Architecture Data Lake Interactive 87

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Convergence of batch and streaming made easy.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

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. It can be quantitatively defined as: We can then combine these useful metrics with a confusion matrix to provide a powerful summary of the performance of the model.

Breakeven 69

Breakeven Modeling Testing Marketing 69

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

IBM Big Data Hub

AUGUST 11, 2023

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. The goal is to better train the model for better performance and a more accurate outcome.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

The Unofficial Google Data Science Blog

JUNE 30, 2016

It should be noted that inverse probability weighting is not generally optimal (i.e., We do this by describing the methods in terms of loss functions whose expectation is optimized at the true value of the propensity score. the curse of dimensionality).

Statistics 45

Statistics Optimization Modeling Experimentation 45

Occam's Razor

SEPTEMBER 15, 2014

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). Mobile content consumption, behavior along key metrics (time, bounces etc.) Many reasons.

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

JANUARY 9, 2012

If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? All while constantly optimizing your portfolio via controlled experiments. We are talking about taking controlled risks and optimization.

Marketing 142

Marketing B2B Measurement Risk 142

Andrew White

JANUARY 9, 2022

This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. 2015) and What is Wrong with Interoperability (in healthcare)? See Align D&A With Value Streams to Optimize Decision Making and Business Value Creation and Toolkit: Use Value Stream Mapping to Optimize Your Product Information Supply Chain.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Occam's Razor

FEBRUARY 9, 2015

. + Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. I tend to use Hitwise a lot less, or not at all, because it is a very hard to use, it is slow, the UX/UI, metrics and reports have not really evolved over the years. Traffic Trends Key Metrics Analysis. It is 2015.

Metrics 156

Metrics Reporting IT Advertising 156

Occam's Razor

JULY 22, 2013

Most of the frameworks we have also don't optimally capture the complexity of digital marketing and measurement. My solution to these problems was to create a simple framework we can use to put our customers first, evaluate our marketing programs, and right-align our view of success (metrics). Then there is Agile for engineering.

Measurement 164

Measurement Marketing Key Performance Indicator Metrics 164

Occam's Razor

DECEMBER 3, 2012

We like to believe that all there is to digital marketing is to do some search engine optimization, send out an email blast every once in a while, get our agency to create a flash-heavy "brand experience" website, or slap together a mobile app in the corporate-approved shade of eggshell white. So what do you have?

Marketing 149

Marketing Advertising Strategy Optimization 149

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. 2015) for additional details. Neural machine translation by jointly learning to align and translate , ICLR, 2015. regression, multi-class classification etc.), See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

JULY 1, 2021

from keras import optimizers from keras.models import Model from keras.models import Input from keras_contrib.layers import CRF from keras_contrib import losses from keras_contrib import metrics. The optimiser is set to Adam (Kingma and Ba, 2015) with a learning rate of 0.001. import pickle import operator. nunique())).

Modeling 111

Modeling Statistics Testing Metrics 111

Occam's Razor

JANUARY 31, 2017

There is only one simple message above, and just two metrics that matter. It also forces a lot less think than might be optimal. Everything seems sub-optimal. Yes, text can be optimized. It can be any of the numerous brand metrics avilable to us. It should have just focused on those two. Interesting trend.

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

Domino Data Lab

FEBRUARY 4, 2019

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. Add a few quarters for staffing teams and getting them in place.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

datapine

JUNE 7, 2022

But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path. In the above example from the 2015 Congressional Hearing based on Planned Parenthood, we can see clear-cut results showing a rise in abortions and a drop in cancer-related health services.

Visualization 267

Visualization Metrics Statistics Dashboards 267

datapine

SEPTEMBER 4, 2023

For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Simple, striking, effective, and informational, this is certainly among the prime data visual examples in existence, and its message is as engaging as it is informational, offering key insights into optimizing our daily routines for enhanced success.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Timo Elliott

NOVEMBER 14, 2024

Real-World Examples of Greenwashing Some of the most notorious greenwashing scandals illustrate both deliberate deception and regulatory gray areas: Volkswagen’s Dieselgate: The automaker was fined over $25 billion in 2015 for equipping vehicles with devices that manipulated emissions tests.

Advertising 59

Advertising Cost-Benefit Measurement Metrics 59

Occam's Razor

JULY 13, 2017

Oh, or your main traffic sources and the visitor acquisition metrics? You have many examples in this post as to how you can avoid making yourself look like sub-optimal Reporting Squirrel. The plots are from the American Time Use Survey , a multi-year study from 2003 to 2015 conducted by the US Bureau of Labor Statistics.

Visualization 125

Visualization Strategy Interactive Statistics 125