CIO Business Intelligence

JULY 3, 2023

They refer to this as SynthAI where the models are trained on proprietary data sets and optimized for discrete purposes, such as resolving customer support issues, summarizing market research results and creating personalized marketing emails. Now the system provides usable answers to questions.

Management 103

Management Experimentation Modeling Enterprise 103

Smart Data Collective

JULY 20, 2021

As a standalone product, this software helps professionals with rich sets of spreadsheets, charts and documents. Quip integration tool will allow teams to improve collaborations, export and import live data, enhanced visibility and outstanding device support. This tool will help you to sync and store data from multiple sources quickly.

Sales 141

Sales Big Data Marketing Software 141

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. It can offer data on demand to different business units within an organization, with the help of various sensors and payloads. In a nutshell, DaaS provides simplified asset and value optimization.

Data Collection 78

Data Collection Visualization Data-driven Unstructured Data 78

Ontotext

FEBRUARY 14, 2024

Named Entity Recognition This is a token classification task and the tokens encoded in the input text document use a pre-trained transformer model. First of all, although it is transformer-based, it is very efficient on CPU’s, as the architecture is heavily optimized and inference through the different modules happens in one forward pass.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data. The Growing BI Analyst Shortage.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

IBM Big Data Hub

AUGUST 11, 2023

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing.

Software 69

Software Manufacturing Cost-Benefit ROI 69

Data Science 101

DECEMBER 18, 2019

Historically, our use of data could provide us with information that would influence decisions but required extensive work to collect, track, and interpret. Because of these new opportunities, industries are now able to leverage the power of data management and interpretation to become more efficient. Healthcare. Manufacturing.

Management 83

Management Recreation/Entertainment Manufacturing Data Collection 83

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Data-related decisions, processes, and controls subject to data governance must be auditable.

Data Governance 142

Data Governance Management Metadata Data Quality 142

FineReport

MAY 18, 2024

Best Practices of Data Visualization Techniques Choosing the Right Technique Selecting the appropriate data visualization technique is paramount to effectively conveying insights and facilitating decision-making processes. Consistent formatting and methodologies reduce errors caused by variations in data handling practices.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

Smart Data Collective

MARCH 28, 2022

Data analytics is the discipline of examining raw data to make conclusions about that set of information. All the processes and techniques used in data analytics can be automated into algorithms that work on raw data. Businesses can use it to optimize their performance.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis.

Data mining 54

Data mining Machine Learning Deep Learning Marketing 54

FineReport

JUNE 26, 2023

Serving as foundational documents : Performance reports serve as the groundwork for other reports and documentation. Internal performance reports serve as a fundamental source for preparing external reports and documents, given that the required data is already collected.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Streamlining operations with advanced analytics to preempt issues.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

datapine

APRIL 16, 2019

The importance of data in decision lies in consistency and continual growth. It enables companies to create new business opportunities, generate more revenue, predict future trends, optimize current operational efforts, and produce actionable insights. 3) Gather data now. 8) Present the data in a meaningful way.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

IBM Big Data Hub

JULY 26, 2023

The aim is to optimize resource allocation by ensuring funds are allocated to activities that align with strategic objectives and generate the highest value. Identify areas where costs can be optimized and potential savings can be made.

Cost-Benefit 57

Cost-Benefit Optimization Visualization Data-driven 57

IBM Big Data Hub

OCTOBER 17, 2023

Many solutions now move beyond traditional application performance monitoring (APM) tools toward observability—“ performance data collection and analysis technology better suited to the complexity of modern, distributed cloud-native applications.” Increasingly, the application monitoring field is evolving.

Metrics 72

Metrics Optimization Software Measurement 72

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. CTRs are easy to measure, but if you build a system designed to optimize these kinds of metrics, you might find that the system sacrifices actual usefulness and user satisfaction.

Marketing 361

Marketing Experimentation Metrics Testing 361

IBM Big Data Hub

MAY 26, 2023

Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability. Cloud is transforming the way life sciences organizations are doing business.

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74

IBM Big Data Hub

JULY 5, 2023

Read this blog post to explore how digital twins can help you optimize your asset performance. Asset lifecycle management best practices The primary objective of asset lifecycle management (ALM) should always be the optimization of assets throughout their lifecycle.

Strategy 53

Strategy Management IoT Cost-Benefit 53

AWS Big Data

AUGUST 23, 2023

It uses Amazon Simple Storage Service (Amazon S3) as the primary data storage for indexes, adding durability for your data. Collections are able to take advantage of the S3 storage layer to reduce the need for hot storage, and reduce cost, by bringing data into local store when it’s accessed.

Snapshot 96

Snapshot Dashboards Visualization Metrics 96

Sisense

JULY 23, 2021

We focus on the core games management systems, which generate a lot of key operational data, so we’ve been naturally a lot more inquisitive of those datasets. We are focused on unpicking them, really analyzing them to understand what they tell us about Games optimization.”. The results have been highly valuable.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

CIO Business Intelligence

FEBRUARY 13, 2023

Measure performance of the current process by establishing a data collection plan to determine defects and gather metrics. During this final phase, all changes made to the process are documented, the root cause of every problem is explained, and a schedule is established for continued monitoring.

Management 76

Management Statistics Manufacturing Measurement 76

datapine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. We love that data is moving permanently into the C-Suite. On the flip side, document everything that isn’t working. What data analysis questions are you unable to currently answer? Develop a “Data Dictionary”.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. With machine learning, the challenge isn’t writing the code; the algorithms are implemented in a number of well-known and highly optimized libraries.

Machine Learning 258

Machine Learning Software Metadata Testing 258

O'Reilly on Data

JUNE 18, 2019

The problem is even more magnified in the case of structured enterprise data. These data sets are often siloed, incomplete, and extremely sparse. Moreover, the domain knowledge, which often is not encoded in the data (nor fully documented), is an integral part of this data (see this article from Forbes).

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

IBM Big Data Hub

SEPTEMBER 11, 2023

Using data, user research and human-centered design to effectively address these considerations can help you develop a clear modernization strategy that objectively drives your priorities, backlogs and roadmaps. The pain point tracker clusters the foundational data in which value metrics are then applied.

Data-driven 86

Data-driven IT Measurement Cost-Benefit 86

FineReport

JUNE 7, 2023

To promote cohesion, collaboration, intelligence, and profitability within your company’s strategic activities, whether large or small, adopting an online data visualization approach is paramount. Resource Management : Documenting all resources required to accomplish project goals is crucial.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. This means that you’re optimizing all your resources, not just the technology ones. Maintain Regulatory Compliance.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. It empowers businesses to explore and gain insights from large volumes of data quickly.

Dashboards 64

Dashboards Testing Metrics Optimization 64

Cloudera

JANUARY 21, 2021

CDW implements a true win-win architecture, for all stakeholders’ and all data involved. Cloudera’s data platform is supported in multiple cloud environments and on premise, to allow optimal flexibility in running workloads where it makes the most sense. Cost-optimization and ease-of-use . No need for further tuning! .

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Smart Data Collective

DECEMBER 11, 2019

These new systems make data collection far more efficient. They also provide a variety of other benefits, such as using big data to identify discrepancies in data while cross-referencing documents for different departments. Big data has played a very important role in boosting employee productivity.

Big Data 68

Big Data Cost-Benefit Software Risk 68

DataRobot Blog

DECEMBER 1, 2022

Artificial intelligence (AI) can help improve the response rate on your coupon offers by letting you consider the unique characteristics and wide array of data collected online and offline of each customer and presenting them with the most attractive offers. How Can AI Target the Right Prospects with Sharper Personalization?

Machine Learning 52

Machine Learning Marketing Modeling Statistics 52

Cloudera

AUGUST 4, 2021

Data governance used to be considered a “nice to have” function within an enterprise, but it didn’t receive serious attention until the sheer volume of business and personal data started taking off with the introduction of smartphones in the mid-2000s.

Data Governance 85

Data Governance Metadata Data-driven Enterprise 85

FineReport

MARCH 29, 2023

This is precisely what is often needed in many enterprise scenarios, such as warehouse management, store management, and employee data management. FineReport supports the design of web and mobile data entry forms, which can collect data into databases and establish business processes during the data collection process.

Reporting 52

Reporting Visualization Dashboards Enterprise 52

Insight

JANUARY 14, 2020

In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment. You can view the documentation and check out a quick tutorial. Check out the Keras documentation here.

Metrics 58

Metrics Optimization Modeling Testing 58

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. This method uses GZIP compression to optimize storage consumption and query performance.

Analytics 97

Analytics IoT Metadata Internet of Things 97

Domino Data Lab

AUGUST 1, 2021

A comprehensive list of all attributes and symbol codes is given in the document that accompanies the original dataset. We start by loading the data, setting meaningful names for all attributes, and displaying the first 5 entries. A12 : 0 <= … < 200 DM. A13 : … >= 200 DM / salary assignments for at least 1 year.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139