IBM Big Data Hub

APRIL 15, 2024

Manufacturers use summarization in different ways. They may use it to design a better way for operators to retrieve the correct information quickly and effectively from the vast repository of operating manuals, SOPs, logbooks, past incidents and more. At the same time, there is this huge sustainability and energy transition wave.

Manufacturing 92

Manufacturing Contextual Data Knowledge Discovery Data Lake 92

IBM Big Data Hub

OCTOBER 17, 2023

For example, say we predict the quality of the clinker in advance, then we are able to optimize the heat energy and combustion in the cement kiln in such a way that quality clinker is produced at minimum energy. Foundation models make AI more scalable by consolidating the cost and effort of model training by up to 70%.

Modeling 96

Modeling Optimization Manufacturing Data-driven 96

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 115

Forecasting Data Science Statistics Uncertainty 115

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 101

Cost-Benefit Data Processing Strategy Software 101

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

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

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

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 71

Enterprise Data Integration Data Quality Contextual Data 71

IBM Big Data Hub

MARCH 4, 2024

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. This requires a holistic enterprise transformation.

Enterprise 96

Enterprise ROI Risk Strategy 96

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 Publishing 75

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 100

Testing Data Quality Metrics Cost-Benefit 100

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

IBM Big Data Hub

JANUARY 11, 2024

Generative AI can work with other AI models to increase accuracy and performance, such as augmenting images to improve quality evaluation of a computer vision model. Let’s look at five specific ways IBM® delivers expert solutions that have helped real clients incorporate generative AI into future operations planning.

Manufacturing 65

Manufacturing Cost-Benefit Consulting Visualization 65

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 83

Modeling Enterprise Software Data Science 83

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

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 98

Data Quality Statistics Data Lake Visualization 98

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 74

Machine Learning Modeling Statistics Predictive Modeling 74

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 74

IT Data Governance Modeling Cost-Benefit 74

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system.

B2B 64

B2B Interactive Optimization Data-driven 64

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 98

Metrics Measurement Modeling Dashboards 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 65

Strategy Cost-Benefit Key Performance Indicator Consulting 65

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 54

Manufacturing Internet of Things Cost-Benefit Digital Transformation 54

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 80

Measurement Strategy Data Processing Uncertainty 80

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. ,

Software 61

Software Manufacturing Optimization Dashboards 61

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

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 52

Strategy Management IoT Cost-Benefit 52

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 Measurement 40

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

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

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 Visualization Reporting 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

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 91

Metadata Measurement Risk Modeling 91

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

DataKitchen

NOVEMBER 27, 2024

This blog delves into the six distinct types of data quality dashboards, examining how each fulfills a specific role in ensuring data excellence. Data Quality Dimension-Focused Dashboards are designed to evaluate data through fundamental quality dimensions, such as completeness, accuracy, timeliness, consistency, and uniqueness.

Data Quality 216

Data Quality Dashboards Metrics Cost-Benefit 216

erwin

MARCH 18, 2025

As SAP PowerDesigner nears extinction, its time to explore a highly evolved data modeling alternative. So, lets jump right into the top 5 ways erwin Data Modeler will make your job easier than the soon-to-be-unsupported SAP PowerDesigner-osaurus. But erwin Data Modeler simplifies the entire process.

Modeling 59

Modeling Data Governance Metadata Visualization 59

Jet Global

MARCH 28, 2025

Therefore, in this blog, we will learn industry leaders’ best practices for Financial Planning & Analysis (FP&A). Data Management: Ensuring data integrity and accuracy in financial systems. These responsibilities help organisations make informed decisions and maintain financial stability. What does this mean?

Forecasting 52

Forecasting Finance Metrics Reporting 52