CIO Business Intelligence

DECEMBER 20, 2024

Shared data assets, such as product catalogs, fiscal calendar dimensions, and KPI definitions, require a common vocabulary to help avoid disputes during analysis. Curate the data. Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Alex Ratner on “Creating large training data sets quickly”.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Smart Data Collective

DECEMBER 14, 2020

Customer satisfaction (CSAT) metrics are a powerful tool for businesses, but despite the way we talk about it, satisfaction isn’t something you can easily measure. These KPIs can add depths to your survey data, butting through the noise and ambiguity to get at the insights that really matter. Compare To Expectations.

Measurement 99

Measurement Metrics Machine Learning Data Collection 99

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. blueberry spacing) is a measure of the model’s interpretability. Machine Learning Model Lineage. Machine Learning Model Visibility . Figure 04: Applied Machine Learning Prototypes (AMPs).

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Rocket-Powered Data Science

JULY 21, 2023

Organizations are able to monitor integrity, quality drift, performance trends, real-time demand, SLA (service level agreement) compliance metrics, and anomalous behaviors (in devices, applications, and networks) to provide timely alerting, early warnings, and other confidence measures. “Don’t be a SOAR loser!

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

O'Reilly on Data

JANUARY 28, 2019

The problems with consent to data collection are much deeper. It comes from medicine and the social sciences, in which consenting to data collection and to being a research subject has a substantial history. We really don't know how that data is used, or might be used, or could be used in the future.

Insurance 247

Insurance Metadata Data Collection Marketing 247

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. For a more in-depth review of scales of measurement, read our article on data analysis questions.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

MARCH 29, 2021

Asset data collection. Data has become a crucial organizational asset. Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions.

Big Data 140

Big Data Management Cost-Benefit Internet of Things 140

Smart Data Collective

DECEMBER 17, 2021

The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. Types of Data Used in Marketing Analytics. Preparing the Data for Analysis.

Marketing Analytics 122

Marketing Analytics Marketing Data-driven Analytics 122

Cloudera

NOVEMBER 19, 2020

In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors.

Machine Learning 119

Machine Learning Data-driven Modeling Deep Learning 119

CIO Business Intelligence

JULY 5, 2022

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

CIO Business Intelligence

OCTOBER 24, 2023

With AI systems often reliant on vast amounts of data, ensuring this data remains private is a significant concern. AI can steal your IP—and generate new IP for you to protect Machine learning algorithms can be trained to reverse-engineer patented technologies. This raises legal and ethical implications.

Risk 126

Risk Recreation/Entertainment Data Collection Data Processing 126

Smart Data Collective

OCTOBER 16, 2023

Examples include CCTV records, automated vacuum cleaners, weather station data, and other sensor-generated data. All in all, big data refers to massive data collections obtained from various sources. Big data can also be utilized to improve security measures.

Big Data 124

Big Data IoT Cost-Benefit Advertising 124

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Be aware that machine learning often involves working on something that isn’t guaranteed to work.

Management 110

Management Machine Learning Experimentation Metrics 110

Smart Data Collective

MAY 29, 2023

To help you better understand what machine learning biases are, we have listed some of the biases that machine translation companies encounter that affect the performance of their translation system. AI translation models must collect and annotate data fairly.

Metrics 96

Metrics Measurement Data Collection Strategy 96

CIO Business Intelligence

APRIL 14, 2022

The ability to provide transparent, data-driven insights and measure progress toward ESG commitments makes the technology leader critical to the success of any ESG strategy. Smarter operations through integrated data and analytics. After understanding the current state, think about which goals the technology function can drive.

Strategy 111

Strategy Digital Transformation IoT Measurement 111

Domino Data Lab

MAY 20, 2021

Machine Learning algorithms often need to handle highly-imbalanced datasets. This renders measures like classification accuracy meaningless. This in turns makes the performance evaluation of the classifier difficult, and can also harm the learning of an algorithm that strives to maximise accuracy. Machine Learning, 57–78.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Smart Data Collective

JULY 9, 2023

Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Identifying Key Metrics for Conversion Rate Optimization Data collection and analysis are both essential processes for optimizing your conversion rate.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. Consumers have grown more and more immune to ads that aren’t targeted directly at them. The results? 4) Improve Operational Efficiency.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

MAY 29, 2024

For example, a traditional search engine would have a difficult time finding the correct material number for the query “2-inch steel pipe 5 feet” if the long description in the SAP material data is “5ft. other material descriptions including fractions, units of measure, units of sale, etc. DIA steel pipe”.

Sales 102

Sales Machine Learning Modeling Data Collection 102

Domino Data Lab

AUGUST 12, 2021

Data exploration is a very important step before jumping onto the machine learning wagon. It enables us to build context around the data at hand and lets us develop appropriate models that then can be interpreted correctly. Taking a closer look at the data you will notice that some columns have questions marks ?

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

CIO Business Intelligence

NOVEMBER 22, 2022

“Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.” The next step in every organization’s data strategy, Guan says, should be investing in and leveraging artificial intelligence and machine learning to unlock more value out of their data.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

CIO Business Intelligence

AUGUST 19, 2024

Real-time data for enhanced agricultural efficiency Real-time data collection and analysis are critical to SupPlant’s approach. IoT sensors deployed in fields worldwide collect vital information on crop and weather conditions every 30 minutes.

IoT 126

IoT Data-driven Data Enablement Optimization 126

O'Reilly on Data

JULY 20, 2021

This measurement of trust and risk is benefited by understanding who could be in front of the device. We can’t forget that the machine learning that is doing biometrics is not a deterministic calculation; there is always some degree of uncertainty.

Risk 335

Risk Software Interactive Modeling 335

CIO Business Intelligence

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. According to Mohammed, the results of this digital transformation journey are measurable and impressive.

Digital Transformation 119

Digital Transformation Dashboards Data Science Reporting 119

Rocket-Powered Data Science

SEPTEMBER 18, 2018

For the modern digital organization, the proof of any inference (that drives decisions) should be in the data! Rich and diverse data collections enable more accurate and trustworthy conclusions. In “big data language”, we are talking about one of the 3 V’s of big data: big data Variety!

Big Data 103

Big Data Data Science Data Collection Measurement 103

Decision Management Solutions

FEBRUARY 8, 2021

As you’ll see, the development of this amazing, one-of-a-kind vessel led to a conclusion that we at Decision Management Solutions see every day in our client work: It’s never enough to just rely on artificial intelligence (AI)/machine learning (ML) to do all the decision-making.

Machine Learning 93

Machine Learning Testing Deep Learning Optimization 93

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

Sisense

OCTOBER 29, 2020

“Data is a critical factor in getting to where we need to be,” explained Ramsey. AVs are the most advanced version of artificial intelligence (AI) that we are working on right now and require an enormous amount of data to do machine learning to improve the computer’s ability to understand the world and make decisions.

Machine Learning 90

Machine Learning Data Collection Cost-Benefit Advertising 90

CIO Business Intelligence

SEPTEMBER 2, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

APRIL 12, 2022

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. These instruments measure a variety of environmental factors such as temperature, tilt angle, shock, humidity and so on to ensure quality of goods in transit. Setting them up is a byzantine, time-consuming process.

IoT 105

IoT Analytics Manufacturing Internet of Things 105

Cloudera

AUGUST 6, 2021

This data needs to be harmonized in a way that presents a unified view of the customer journey and ideally a real-time view of their propensity to perform certain actions, with suggested options to increase or decrease that propensity. Strategy and culture are core components of a data driven organization .

Data-driven 105

Data-driven B2B Data Strategy Strategy 105

Smart Data Collective

DECEMBER 20, 2019

Adoption is certainly ramping up, and the technologies that support IoT are also growing more sophisticated — including big data, cloud computing and machine learning. The data that IoT devices collect can inform and enable action throughout the scope of a project and even beyond.

IoT 87

IoT Internet of Things Measurement Reporting 87