DataKitchen

JUNE 19, 2023

Putting the Data Journey idea into five pillars is a great way to organize and share the concept. Another way to look at the five pillars is to see them in the context of a typical complex data estate. Our customers start looking at the data in dashboards and models and then find many issues. That idea is the Data Journey.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

Alation

FEBRUARY 3, 2022

And with AI and machine learning helping along the way, less and less work will be required in successive cycles. Using the above continuous improvement cycle as the model, let’s look at each element and what can be accomplished during its portion of the process. The car manufacturer leverages kaizen to improve productivity.

Data Governance 98

Data Governance Measurement Metadata Testing 98

IBM Big Data Hub

DECEMBER 13, 2023

A procurement strategy is a structured plan that an organization develops to guide its purchasing process in a way that aligns with its business needs. The role of procurement extends beyond transactional activities. What is a procurement strategy?

Strategy 73

Strategy Cost-Benefit Key Performance Indicator Consulting 73

AWS Big Data

JUNE 6, 2023

Our customers needed a simple, cost-effective, and automatic way to manage data quality. It then uses these statistics to automatically recommend data quality rules that check for data freshness, accuracy, and integrity. We are excited to announce the General Availability of AWS Glue Data Quality.

Data Quality 94

Data Quality Statistics Data Lake Visualization 94

Insight

MARCH 27, 2019

The main benefits and features of DeepAugment are: Reduces the error rate of CNN models (showed 60% decrease in error for CIFAR10 on WRN-28–10) Saves time by automating the process 50 times faster than Google’s previous solution– AutoAugment The finished package is on PyPI. DeepAugment is an AutoML tool focusing on data augmentation.

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

Juice Analytics

MARCH 11, 2021

Along the way, we’ve learned a lot about what works and doesn’t. And the way you stay on the right path in the early stages of a startup is to build stuff and talk to users. In this series I’ll take you through what you need to know to design, build, launch, sell and support a data product. Your users are your guidepost.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

O'Reilly on Data

MARCH 23, 2023

It’s important to understand that ChatGPT is not actually a language model. It’s important to understand that ChatGPT is not actually a language model. It’s a convenient user interface built around one specific language model, GPT-3.5, The GPT-series LLMs are also called “foundation models.” Or a text adventure game.

IT 264

IT Modeling Testing Risk 264

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. 16% of respondents working with AI are using open source models. Only 4% pointed to lower head counts. What’s the reality?

Enterprise 273

Enterprise Modeling Testing Reporting 273

The Unofficial Google Data Science Blog

APRIL 17, 2017

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. In this post, we recount how we approached the task, describing initial stakeholder needs, the business and engineering contexts in which the challenge arose, and theoretical and pragmatic choices we made to implement our solution.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Occam's Razor

APRIL 15, 2019

It is that we are able to analyze and identify bad performance with greater accuracy. The conversion rate is down 30% at launch. The goal was to deliver a 30% increase in revenue, the team delivered 1.7953%. During 2019, our Net Promotion Score has dropped 15 points. Our Market Share in the 2-ton truck market shrunk by 1.5% (= -$3 bil).

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. High variance in a model may indicate the model works with training data but be inadequate for real-world industry use cases.

Enterprise 80

Enterprise Data Integration Data Quality Contextual Data 80

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

Domino Data Lab

JANUARY 6, 2019

And my favorite topic: what are some of the best books, blogs, podcasts, etc., Also, clearly there’s no “one size fits all” educational model for data science. The Berkeley model addresses large university needs in the US. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Introduction.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. Now that we live longer, treatment models have changed and many of these changes are namely driven by data. One of the most notable areas where data analytics is making big changes is healthcare. What are the obstacles to its adoption?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

datapine

MAY 31, 2022

4) The Future Of Cloud Computing. To start, Software-as-a-Service, or SaaS, is a popular way of accessing and paying for software. 2) The Challenges Of Cloud Computing. 3) Cloud Computing Benefits. Everywhere you turn these days, “the cloud” is being talked about. Yes, this ambiguous term seems to encompass almost everything about us.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

IBM Big Data Hub

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

Modeling 90

Modeling Enterprise Software Machine Learning 90

IBM Big Data Hub

DECEMBER 11, 2023

The rise of hybrid cloud Before delving into the advantages of hybrid cloud , let’s examine how the hybrid cloud computing model became the essential IT infrastructure model for protecting critical data and running workloads.

Cost-Benefit 112

Cost-Benefit Data Processing Strategy Software 112

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology.

Manufacturing 113

Manufacturing Data Warehouse Sales Predictive Analytics 113

IBM Big Data Hub

JUNE 26, 2023

The model has learned the rules behind the internal orders corresponding to general orders. The AI model helps the company realize a fully automatic execution process without manual operation, increasing the order classification accuracy rate from 85% to 97%. Yanfeng Auto International Automotive Technology Co. ,

Manufacturing 66

Manufacturing Software Optimization Digital Transformation 66

IBM Big Data Hub

JULY 5, 2023

Read this blog post to explore how digital twins can help you optimize your asset performance. From a wastewater treatment plant that an entire city depends on to a smaller-sized transportation company expected to provide timely deliveries, businesses of all sizes rely on the assets and equipment they own to create value every day.

Strategy 57

Strategy Management IoT Cost-Benefit 57

IBM Big Data Hub

FEBRUARY 22, 2024

Earning trust in the outputs of AI models is a sociotechnical challenge that requires a sociotechnical solution. However, the roadblocks to scaling, adopting, and realizing the full potential of AI in the DoD are similar to those in the private sector. These are table stakes for the DoD or any government agency.

Metadata 102

Metadata Measurement Risk Modeling 102

The Unofficial Google Data Science Blog

JANUARY 31, 2017

Take, for instance, how each field views the provenance of the training data when building predictive models. For most of ML, the training data is a given, often presumed to be representative of the data against which the prediction model will be deployed, but not much else. But at other times, matters are less clear.

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

AWS Big Data

JUNE 21, 2023

Along the way, you use OpenSearch to gather information in support of achieving that goal (or maybe the information is the original goal). Along the way, you use OpenSearch to gather information in support of achieving that goal (or maybe the information is the original goal).

Metrics 78

Metrics Measurement Modeling Dashboards 78

datapine

NOVEMBER 13, 2019

It doesn’t matter how innovative your brand is or how groundbreaking your business model might be; if your business is ridden with glaring inefficiencies, your potential for growth is eventually going to get stunted. And procurement reporting is no exception to this. Without further ado, let’s get started. What Are Procurement Reports?

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

It also owns Google’s internal time series forecasting platform described in an earlier blog post. Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. Our team does a lot of forecasting.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Below, we discuss a way to get approximate posteriors that is based on this approach. Posteriors are useful to understand the system, measure accuracy, and make better decisions. But most common machine learning methods don’t give posteriors, and many don’t have explicit probability models. This seems impossible.

KDD 40

KDD Testing Machine Learning Modeling 40

IBM Big Data Hub

JUNE 29, 2023

To maintain their competitiveness and overcome today’s challenges, manufacturers have had to make agility and adaptability top priorities. 3D printing 3D printing, also known as additive manufacturing, is a rapidly growing technology that has changed the way companies design, prototype and manufacture products. Industry 4.0

Manufacturing 60

Manufacturing Internet of Things Cost-Benefit Digital Transformation 60

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture.

IT 81

IT Data Governance Modeling Cost-Benefit 81

Alation

DECEMBER 15, 2021

This uncovers actionable intelligence, maintains compliance with regulations, and mitigates risks. Maintains data consistency: Standardizing data fields across databases and departments makes data easy to manipulate and navigate, (and make consistent decisions from). Data governance requires a system. Defensive vs Offensive.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

DataRobot Blog

JUNE 24, 2022

Today, the use of AI in Real Estate is providing one of the most significant disruptors in the sector, catalyzing the connection between investors and firms, tenants and property managers, brokers, and buyers, regardless of location and time. Despite the great outcomes the use of AI in Real Estate promises, there are still some hurdles to overcome.

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

Alation

OCTOBER 4, 2022

Actuaries and their mathematical models enable insurers to calculate risk to determine premiums. Further, compliance regulations like the GDPR and CCPA demand that organizations maintain data security and compliance. From a business perspective, insurers’ data management ensures data completeness and accuracy.

Insurance 52

Insurance Data Governance Risk Strategy 52

Jet Global

MARCH 13, 2024

In this blog, we discuss three key challenges to blending data from multiple sources in Microsoft Dynamics and how Atlas – insightsoftware’s easy-to-use Excel-based financial reporting solution for Dynamics AX and D365 F&SCM – empowers your team to overcome them. With Atlas, you can put your data security concerns to rest.

Reporting 52

Reporting Finance Data Quality Sales 52