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 360

Data Mining Big Data Artificial Intelligence Data Warehouse 360

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 334

E-Commerce Cloud Computing Big Data Data Modelling 334

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 336

Business Intelligence Business Intelligence Supply Chain Visualization 336

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

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 240

Artificial Intelligence Documentation Data Modelling Monitoring 240

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 264

Innovation Artificial Intelligence Data Warehouse Government 264

Domo

OCTOBER 3, 2017

Without the transparency that analytics provides, it will be difficult to judge the results of any artificial intelligence system. We’re already beginning to see examples of poor decisions being made by algorithms and data models with little insight into their rationale. Tweet this.

Artificial Intelligence 52

Artificial Intelligence Data Quality Data Modelling 52

Dataversity

MARCH 26, 2021

Are you planning on strategically using data to improve the efficiencies of your value chains? This can happen with artificial intelligence models that can make a journey interesting for […]. The post Why Enterprise Data Planning Is Crucial for Faster Outcomes appeared first on DATAVERSITY.

Planning 130

Planning Artificial Intelligence Process Modelling Data Modelling 130

Business Analysts

APRIL 5, 2023

by Business Analysis, Artificial intelligence (AI) is rapidly transforming the business landscape by enabling organizations to leverage data insights and automate routine tasks. Data analysis and modelling : AI projects require large amounts of data to train machine learning models.

Artificial Intelligence 52

Artificial Intelligence Business Analysis Business Analysis Requirements Gathering 52

Analysts Corner

FEBRUARY 12, 2023

The use of language models in Artificial Intelligence can leverage the productivity of Business Analysis. AI : The BABOK Guide defines various tasks and concepts related to business analysis, including requirements elicitation and analysis, process and data modeling, and stakeholder communication and management.

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

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

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

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

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 Business Intelligence 92

Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Connect tables.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

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 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

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 98

Data Warehouse Government Artificial Intelligence Data Discovery 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 102

Data Quality Government Artificial Intelligence Data Warehouse 102

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

The Data Administration Newsletter

APRIL 17, 2024

The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on the impact of large language models (LLM) and generative artificial intelligence (AI) and how we disseminate knowledge throughout the enterprise and the future role of the data catalogs.

Artificial Intelligence 52

Artificial Intelligence Data Modelling Data Governance Government 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

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

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

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

Sisense

AUGUST 21, 2020

How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis? Knowledge graphs will be the base of how the data models and data stories are created, first as relatively stable creatures and, in the future, as on-demand, per each question. Trend 5: Augmented data management.

Data Modelling 112

Data Modelling Supply Chain Decision Modelling Visualization 112

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

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

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

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

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Most Popular Predictive Analytics Techniques .

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

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

FEBRUARY 24, 2021

Business analysts, who may not have the coding skills needed to derive value from the data, need a suite of self-service features that are easy to use without assistance from the data team. This situation can quickly pose a dilemma for the chief data officer.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

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

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

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 Big Data Healthcare Data Governance 52

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

JULY 11, 2019

Data science professionals have been working with companies and individual technology providers for many years to determine a scalable and efficient method to aggregate data from diverse data sources. Why operational technology data management may never be standardized.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40