The Data Administration Newsletter

FEBRUARY 21, 2024

Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them.

Artificial Intelligence 52

Artificial Intelligence Data Modelling Data Governance Data Visualization 52

Smart Data Collective

SEPTEMBER 16, 2020

These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.

Predictive Analytics 307

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 307

Analysts Corner

JULY 28, 2023

Artificial Intelligence development comes to the stage where non-technical people can use it in their everyday and professional life. So these days, you probably want to know how Artificial Intelligence (AI) can affect the work of an IT Business Analyst. What is AI?

Artificial Intelligence 130

Artificial Intelligence Business Analysis Business Analysis Predictive Analytics 130

Smart Data Collective

APRIL 5, 2022

It is highly popular among companies developing artificial intelligence tools. This feature helps automate many parts of the data preparation and data model development process. Companies working on AI technology can use it to improve scalability and optimize the decision-making process.

IBM Maintenance 309

IBM Maintenance IBM cost IBM Support Artificial Intelligence 309

Timo Elliott

DECEMBER 14, 2022

SAP BTP brings together data and analytics, artificial intelligence, application development, automation, and integration in one, unified environment. SAP BTP includes predefined best-practice integrations, templates, data models, analytics content, a library of automation bots , and much much more.

Innovation 262

Innovation Artificial Intelligence Data Warehouse Government 262

Smart Data Collective

MAY 29, 2023

The world of artificial intelligence (AI) is constantly changing, and we must be vigilant about the issue of bias in AI. Enabling external scrutiny requires developers’ accurate documentation of the training data, model architecture, and evaluation methodologies.

Artificial Intelligence 173

Artificial Intelligence Documentation Data Modelling Monitoring 173

Analysts Corner

MARCH 7, 2023

In this article, we will explore what machine learning and data science are, and how they are used in the context of business analytics. Machine learning is a subset of artificial intelligence that enables computers to learn from data without being explicitly programmed. What is machine learning?

Supply Chain 130

Supply Chain Artificial Intelligence Data Visualization Logistics 130

Sisense

APRIL 15, 2021

Artificial intelligence combined with analytics enhances every application! Data science and artificial intelligence: Enhancing every step in the BI process. In other words, data experts can dovetail their coding skills with AI functionality to produce more sophisticated and more accurate models.

Artificial Intelligence 98

Artificial Intelligence Data Modelling Cloud Computing Data Discovery 98

Smart Data Collective

NOVEMBER 18, 2020

Data Science is an activity that focuses on data analysis and finding the best solutions based on it. Then artificial intelligence advances became more widely used, which made it possible to include optimization and informatics in analysis methods. Data Mining Techniques and Data Visualization.

Data Mining 358

Data Mining Big Data Artificial Intelligence Data Warehouse 358

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Smart Data Modeling Another trend in data warehousing is the use of AI-powered tools for smart data modeling.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

BizAcuity

JULY 13, 2021

Artificial Intelligence impersonates human intelligence using various algorithms to collect data and improve performance with data compliance over some time. The proprietary data model for Gaming Industry makes it unique with more than 200+ variables for both reporting and model creation.

Data Warehouse 130

Data Warehouse Artificial Intelligence Data Analytics Data Analytics 130

BizAcuity

MARCH 31, 2022

With the massive influx of big data, several businesses use AI platforms to help save costs in a number of ways including automating certain procedures, speeding up key activities among others. Enterprise Artificial Intelligence. Artificial Intelligence Analytics. Hope the article helped.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Smart Data Collective

NOVEMBER 24, 2020

Augmented analytics uses artificial intelligence to process data and prepare insights based on them. It allows feeding on more data, simplifying reporting and sharing and eliminating the unnecessary steps to get the feedback. Automation & Augmented Analytics. SAP Lumira.

Business Intelligence 330

Business Intelligence Business Intelligence Supply Chain Data Governance 330

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

E-Commerce 262

E-Commerce Cloud Computing Big Data Data Modelling 262

The BAWorld

MARCH 15, 2024

Thereby, learning visualization software such as Tableau can enhance your abilities as a data Analyst. This is the premier software used industry wide that enables you to display your analysis on dashboards, make data models, renderings and business intelligence reports.

Data Visualization 52

Data Visualization Artificial Intelligence Visualization Banking 52

Tableau

MAY 11, 2022

Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. At their most basic level, data fabrics leverage artificial intelligence and machine learning to unify and securely manage disparate data sources without migrating them to a centralized location.

Data Warehouse 94

Data Warehouse Government Artificial Intelligence Data Discovery 94

Tableau

MAY 11, 2022

Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. At their most basic level, data fabrics leverage artificial intelligence and machine learning to unify and securely manage disparate data sources without migrating them to a centralized location.

Data Warehouse 92

Data Warehouse Government Artificial Intelligence Data Discovery 92

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

The BAWorld

JANUARY 25, 2021

Machine Learning is an application of artificial intelligence that gives the system the ability to learn and improve from experience without being explicitly programmed automatically. It primarily focuses on developing models that use algorithms to learn and detect patterns, trends, and associations from existing data.

Logistics 90

Logistics Data Visualization Artificial Intelligence Visualization 90

Business Bullet

FEBRUARY 8, 2020

There are now more projects based on data and being able to store more of it. Data modelling and analysis skills will be valuable as a result. It’s helpful to understand what these technologies are and the new possibilities as a result.

Artificial Intelligence 52

Artificial Intelligence Business Analysis Business Analysis Digital Transformation 52

Astera

OCTOBER 7, 2022

Unstructured data do not have a pre-defined schema, so it cannot be stored in a traditional database until converted into a structured format. But unstructured data is no longer dark data, unavailable for analysis. It’s fair, given the unstructured data may hold valuable insights to augment a business’s market competitiveness.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Sisense

AUGUST 14, 2020

Artificial intelligence is transforming products in surprising and ingenious ways. In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Actian

MARCH 3, 2020

Over the past few years, IT organizations are increasingly being asked to automate the systems and processes involved in integrating and preparing their data for reporting, leveraging things like active metadata, artificial intelligence (AI) / machine learning (ML) algorithms, and knowledge graphs.

Artificial Intelligence 40

Artificial Intelligence Digital Transformation Real-time Data Data Modelling 40

Actian

MAY 21, 2019

For many years, companies have been accumulating large amounts of data with an intuitive feeling that it has value and would be put to good use to make more informed business decisions. The refinement process starts with the ingestion and aggregation of data from each of the source systems.

Big Data 40

Big Data Data Warehouse Artificial Intelligence Digital Transformation 40

Sisense

JUNE 12, 2019

our annual client conference, I gave a presentation that took a deep dive into artificial intelligence and subgroups including AI, ML, and statistics. The operational data science pipeline should be able to ingest new data hand in hand with the continuous support of model improvement which keeps the production system stable.

Artificial Intelligence 75

Artificial Intelligence Big Data Data Analytics Data Analytics 75

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Sisense

APRIL 10, 2020

All common and necessary data science tasks (data loading, data analysis, data exploration, data preprocessing, data featurization, data modeling, and predictive modeling) are available in both R programming and Python languages. Both languages are user-friendly and easy to implement.

Visualization 98

Visualization Artificial Intelligence Data Mining Logistics 98

Marutitech

APRIL 7, 2022

These datasets generate the most accurate predictive modeling tasks and relevant insights. 4. Data modeling. You can use various predictive analytics models such as classification or clustering models. This is where predictive model building begins. Descriptive stats. Training Dataset.

Predictive Analytics 98

Predictive Analytics Data Modelling Data Mining Data Requirement 98

Sisense

JULY 3, 2019

Recommended modeling when adding new disparate data Data deduplication and cleansing for those times when data isn’t perfect – and by that I mean always. Smart field and widget suggestions to assist in navigating complex data models. Data Science Workbench.

Innovation 74

Innovation Data Modelling Visualization Artificial Intelligence 74

Sisense

JULY 24, 2019

Last, and still a very painful challenge for most users, is the familiarity with the underlying data and data model. No need to batten down the hatches, matey, as any user can create a custom dictionary that will then be used in the NLQ process. In other words, how the variables are named, and the granularity of their values.

Skillset 89

Skillset Big Data Data Modelling Data Analytics 89

Marutitech

MARCH 10, 2022

Over or underfitting the predictive analytics solution is a common mistake that any data scientist makes while developing their model. Overfitting your data refers to creating a complicated data model that fits your limited set of data.

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

Data Pine

MARCH 31, 2022

A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Sisense

MARCH 30, 2020

A recent Fortune special report on Artificial Intelligence (AI) pointed to the recent developments in the field of Natural Language Processing (NLP) over the last 18 months as “revolutionary” for better search engines, smarter chatbots, and digital assistants.

Artificial Intelligence 92

Artificial Intelligence Data Modelling Digital Innovation 92

Tableau

APRIL 18, 2022

A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Tableau

APRIL 18, 2022

A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.

Data Quality 96

Data Quality Government Artificial Intelligence Data Warehouse 96

Whizlabs

APRIL 19, 2021

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. Navin is the founder of WoWExp , which transforms the Industry with Augmented Reality and Artificial Intelligence.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Leading Agile

NOVEMBER 22, 2023

It might be interesting to pull the thread around data analytics, maybe pull some threads around the application of artificial intelligence. You’re going to pull your data back into a hybrid sort of data model. It might have implications for security. Absolutely. It’s expensive.

Agile 62

Agile Business Architecture Government Project Management 62