KDnuggets

OCTOBER 16, 2019

This week on KDnuggets: Beyond Word Embedding: Key Ideas in Document Embedding; The problem with metrics is a big problem for AI; Activation maps for deep learning models in a few lines of code; There is No Such Thing as a Free Lunch; 8 Paths to Getting a Machine Learning Job Interview; and much, much more.

Metrics 53

Metrics Deep Learning Machine Learning Modeling 53

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. For example, training an interview screening model using education data often contains gender information. As discussed in this article , model design can also be a source of bias too. Model Drift. Governance.

Uncertainty 103

Uncertainty Measurement Metrics Risk 103

CIO Business Intelligence

APRIL 11, 2022

When he joined Molex in 2019 with a digital transformation mandate, he told leadership that it had to be as the CDO. “I Since 2019, he has helped Molex redefine its product development and mass manufacturing intake capability, become more responsive to customers, and increase its operating profitability. It’s our mental models.

Digital Transformation 98

Digital Transformation IT Manufacturing Interactive 98

CIO Business Intelligence

JULY 5, 2022

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

APRIL 26, 2023

Founded in 2019, the company seized its greenfield opportunity to rethink and redesign the press shop as part of a cloud-first development strategy. So employees in production could display 3D product models in their digital manufacturing dashboard and their work environment, thereby optimizing complex assembly processes.

Manufacturing 97

Manufacturing Optimization Digital Transformation Metrics 97

Andrew White

NOVEMBER 1, 2019

I was up at 4am last Saturday (before Orlando Symposium) in order to watch England take on New Zealand in the first semi-final of the Rugby World Cup 2019 in Japan. EIM suggested a need to directly connect to business outcomes, and a model was developed to help clients implement EIM: the seven building blocks of EIM.

Strategy 56

Strategy Analytics Data-driven Data Strategy 56

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. Continuous AI not only retrains your current production models for you. Why do I think this? Sounds pretty cool, right? Over and over.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

CIO Business Intelligence

NOVEMBER 9, 2022

Work-from-home and remote offices have played a part in the drop, but even as employees reenter the office full-time or in a hybrid arrangement, paper consumption still isn’t at 2019 levels. As Harvard Business Review recently shared , “Metrics like ROI or IRR are generally broken. Second, it’s worth following the investors.

ROI 52

ROI Metrics Data-driven Reporting 52

IBM Big Data Hub

AUGUST 9, 2023

After the simulation, organizations also receive metrics on employee click rates and often follow up with additional phishing awareness training. One way to do this is by using phishing templates modeled after popular types of phishing attacks to target employees. million phishing sites. The post What is a phishing simulation?

Testing 74

Testing Measurement Behavioral Analytics Reporting 74

bridgei2i

NOVEMBER 20, 2020

Ashwini: Hmm, see, BI systems of yesteryears provided good visibility on key metrics, but they were descriptive at best and had clear challenges as we started asking for more. Too many reports and metrics, but low clarity on what really needs attention. Do you see a similar challenge among your clients as well?

Risk Management 92

Risk Management Risk Management Metrics 92

Data Science 101

MAY 6, 2019

I think in physics one of the things that attracted me most to the field that I studied, which was particle physics, was the ability to leverage computer science mathematical modeling and data visualization to solve big questions. And what kind of transformation do you need to apply to the data set to enable modeling?

Data Science 98

Data Science Modeling Machine Learning Testing 98

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

IBM Big Data Hub

MARCH 8, 2024

Since its release in 2019, 5G broadband technology has been hailed as a breakthrough technology with big implications for both consumers and businesses. This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower. How is 5G different from other wireless networks?

IoT 99

IoT Broadcasting Internet of Things Technology 99

Sisense

MARCH 6, 2019

Part of the justification Gartner puts behind this is that metrics need to be constantly challenged. In order for us to uncover what we don’t know, we must stop relying on the same metrics. By showing the AI model 300 Facebook likes, it can outperform the person’s spouse (!).

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

KDnuggets

OCTOBER 23, 2019

Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; How to Recognize a Good Data Scientist Job From a Bad One; How to Easily Deploy Machine Learning Models Using Flask.

Metrics 46

Metrics Machine Learning Modeling 46

CIO Business Intelligence

JULY 7, 2023

The ITIL 4 was updated by Axelos in February 2019 to include a stronger emphasis on maintaining agility, flexibility, and innovation in ITSM, while still supporting legacy networks and systems. This module validates your ability to measure, assess, and develop the Service Desk practice capability using the ITIL Maturity Model.

Cost-Benefit 98

Cost-Benefit Strategy Management Uncertainty 98

CIO Business Intelligence

MAY 4, 2022

He cites as evidence Gartner’s figures in this space : a 34% annual growth rate in spending for cloud security, which has gone from $585 million in 2019 to an anticipated $3.5 It’s securing what has evolved in the past few years and what has been evolving.” billion in spend by 2025.

IT 135

IT Business Driver Reporting Uncertainty 135

AWS Big Data

JULY 28, 2023

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. Next, we take our data mesh a step further by using federated views in a multi-user model. For the data source name, use shared_federated_catalog.

Big Data 82

Big Data Data Architecture Data Lake Interactive 82

Sisense

JULY 8, 2020

As of 2019, according to Bissfully’s 2020 SaaS trends report , smaller companies (0-50 employees) use an average of 102 SaaS applications, while mid-sized ones (101-250 employees) use about 137 SaaS applications. Product and engineering teams dig into productivity metrics or bug reports to help them better prioritize their resources.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

Jedox

JULY 30, 2019

To validate this way of thinking about FP&A processes I asked four practitioners from across the world on their immediate impressions of this model and if it works for them. Here are some of my learnings: Curiosity- Develop a deep understanding of the business model, drivers, goals, KPI’s and financials.

Forecasting 52

Forecasting Reporting Finance Consulting 52

Sisense

MAY 31, 2020

This three-letter attribute is one of the most important metrics for service-providers as it ranks customer satisfaction. Sisense is delivering a beautiful front-end experience, powerful and flexible data modeling, and the opportunity to integrate at a very deep level.”

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

Sisense

JULY 29, 2020

Industry sectors that have been hardest hit by the crisis, such as travel and manufacturing, and sectors at the sharp end of efforts to fight the pandemic, such as healthcare and government, have found it necessary to pivot rapidly and refocus their business models or their resource planning, using data and analytics.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

CIO Business Intelligence

JUNE 27, 2022

Tyson: You’re coming up to two years since you added Sentry’s ability to monitor for performance which has some pretty fine-grained metrics in terms of identifying where bottlenecks are located in code. You pointed to frontend as a key area in 2019. Would you talk a bit about the performance product and tracing software performance?

Software 115

Software Experimentation Testing Marketing 115

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

Business Over Broadway

MAY 22, 2019

Remember that digital transformation is about transforming your business and operating models with technology. I conducted a customer experience best practices study and found that loyalty leading companies focus analytics efforts on customer understanding rather than internal metrics. IoT Artificial Intelligence.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Ludwig (@RandiRLudwig) May 23, 2019. Being model-driven is like using GPS.”. “If

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Occam's Razor

APRIL 15, 2019

During 2019, our Net Promotion Score has dropped 15 points. In 2019, we can measure the crap out of so much. Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics). The conversion rate is down 30% at launch. Why be hurtin’?

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Ontotext

APRIL 4, 2019

On March 19, 2019, Economy.bg Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. They have different metrics for judging whether some content is interesting or not. Source: Economy.bg. What exactly do you do for them?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. 2019 was a breakthrough year for the SaaS world in many ways. Instead, they have the option of utilizing various pricing structures.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Acquired by DataRobot June 2019).

Testing 300

Testing Machine Learning Consulting Data Quality 300

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. and could provide a model for the EU to follow. Analytics, already trending as one of the business intelligence buzzwords in 2019, has the potential to become part of a new strategy. 3) Real-Time Alerting.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Occam's Razor

JANUARY 7, 2019

To help kick-start your 2019 step change , I’ve written two “Top 10” lists, one for Marketing and one for Analytics – consisting of things I recommend you obsess about. Does swapping out male model posters for cute animals triple sales? Identify four relevant micro-outcomes to focus on in 2019. (In Super cool, super profitable.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

Smart Data Collective

JULY 26, 2021

Companies need to analyze data to optimize their business models in a variety of ways. They have found that big data has changed their business models in countless ways. Data Analytics Can Be Invaluable for Creating Dedicated Team Models. What Is a Dedicated Team Model? Let’s take a closer look and find out right now.

Data Analytics 120

Data Analytics Analytics Cost-Benefit KPI 120

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Alation

SEPTEMBER 30, 2022

Compare that to the 108 that earned the status in all of 2020 (and the 439 total up to 2019), and you can see why the title has lost its sparkle. Seeing this trend, Bessemer sought to define a new metric for assessing the success of a private SaaS company – achieving $100M of ARR (annual recurring revenue).

Measurement 92

Measurement Metrics Data Governance Sales 92

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

IBM Big Data Hub

FEBRUARY 22, 2024

Recognizing this, the Department of Defense (DoD) launched the Joint Artificial Intelligence Center (JAIC) in 2019, the predecessor to the Chief Digital and Artificial Intelligence Office (CDAO), to develop AI solutions that build competitive military advantage, conditions for human-centric AI adoption, and the agility of DoD operations.

Metadata 93

Metadata Measurement Risk Modeling 93