Pickl AI

APRIL 14, 2023

Falling into the wrong hands can lead to the illicit use of this data. Hence, adopting a Data Platform that assures complete data security and governance for an organization becomes paramount. In this blog, we are going to discuss more on What are Data platforms & Data Governance.

Data Platform 52

Data Platform Data Integration Data Ingestion Automation 52

Unite.AI

OCTOBER 14, 2024

Quantum provides end-to-end data solutions that help organizations manage, enrich, and protect unstructured data, such as video and audio files, at scale. Their technology focuses on transforming data into valuable insights, enabling businesses to extract value and make informed decisions.

ML 195

ML Data Ingestion Data Analysis Machine Learning 195

IBM Journey to AI blog

OCTOBER 20, 2023

Apart from pricing, there are numerous other factors to consider when evaluating the best AI platforms for your business. Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives.

Machine Learning 225

Machine Learning Automation AI AI 225

Marktechpost

JUNE 5, 2024

Data profiling is a crucial tool. For evaluating data quality. It entails analyzing, cleansing, transforming, and modeling data to find valuable information, improve data quality, and assist in better decision-making, What is Data Profiling? Fixing poor data quality might otherwise cost a lot of money.

Data Quality 110

Data Quality Metadata Data Integration ETL 110

AWS Machine Learning Blog

JUNE 18, 2024

Through evaluations of sensors and informed decision-making support, Afri-SET empowers governments and civil society for effective air quality management. The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion.

Generative AI 122

Generative AI Data Ingestion Python LLM 122

Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. Data platform architects leverage Airflow to automate the movement and processing of data through and across diverse systems, managing complex data flows and providing flexible scheduling, monitoring, and alerting.

LLM 147

LLM Data Platform Software Engineer Chatbots 147

Marktechpost

NOVEMBER 19, 2024

Flexible Structure: Big Data systems can manage unstructured, semi-structured, and structured data without enforcing a strict structure, in contrast to data warehouses that adhere to structured schemas. A data warehouse’s essential characteristics are as follows.

Big Data 80

Big Data ETL Business Intelligence Data Analysis 80

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

Data Ingestion 117

Data Ingestion Metadata NLP Data Scientist 117

AWS Machine Learning Blog

DECEMBER 7, 2023

Historic transactional demand data, location-based weather information, holiday dates, promotions and marketing campaign data are the features used in the model as shown in the graph below. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms.

Convolutional Neural Networks 122

Convolutional Neural Networks Algorithm Neural Network Data Science 122

Marktechpost

JULY 17, 2023

It relates to employing algorithms to find and examine data patterns to forecast future events. Through practice, machines pick up information or skills (or data). Deep learning is a branch of machine learning frequently used with text, audio, visual, or photographic data. Built to use predictive models.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

TransOrg Analytics

AUGUST 9, 2024

Eight prominent concepts stand out: Customer Data Platforms (CDPs), Master Data Management (MDM), Data Lakes, Data Warehouses, Data Lakehouses, Data Marts, Feature Stores, and Enterprise Resource Planning (ERP). Pros: Data Consistency: Ensures consistent and accurate data across the organization.

Machine Learning 52

Machine Learning ETL Big Data Data Quality 52

Pickl AI

OCTOBER 6, 2024

Understanding these methods helps organizations optimize their data workflows for better decision-making. Introduction In today’s data-driven world, efficient data processing is crucial for informed decision-making and business growth. Talend: An open-source solution that provides various data management features.

ETL 52

ETL Data Quality Data Integration Big Data 52

Marktechpost

JULY 18, 2023

ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. Skyvia Skyvia is a cloud data platform created by Devart that enables no-coding data integration, backup, management, and access.

ETL 52

ETL Data Integration Business Intelligence Automation 52

Pickl AI

OCTOBER 10, 2024

Introduction Data transformation plays a crucial role in data processing by ensuring that raw data is properly structured and optimised for analysis. Data transformation tools simplify this process by automating data manipulation, making it more efficient and reducing errors.

ETL 52

ETL Data Quality Machine Learning Business Intelligence 52

The MLOps Blog

MARCH 15, 2023

This is what data processing pipelines do for you. Automating myriad steps associated with pipeline data processing, helps you convert the data from its raw shape and format to a meaningful set of information that is used to drive business decisions. Dagster Supports end-to-end data management lifecycle.

Categorization 59

Categorization ETL Data Integration Automation 59

Pickl AI

DECEMBER 16, 2024

The objective is to guide businesses, Data Analysts, and decision-makers in choosing the right tool for their needs. Whether you aim for comprehensive data integration or impactful visual insights, this comparison will clarify the best fit for your goals.

ETL 52

ETL Data Ingestion Data Integration Machine Learning 52

AWS Machine Learning Blog

MAY 15, 2023

For more information about how to get started building your own pipelines with Forecast, see Amazon Forecast resources. You can also visit AWS Step Functions to get more information about how to build automated processes and orchestrate and create ML pipelines. Happy forecasting, and start improving your business today!

Neural Network 83

Neural Network Convolutional Neural Networks Metadata Data Scientist 83

Pickl AI

JUNE 23, 2023

At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. Thus, by adopting a data-centric approach, organizations can unlock the true potential of their data and gain valuable insights that lead to informed decision-making.

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Marktechpost

JULY 17, 2023

Information created intentionally rather than as a result of actual events is known as synthetic data. Synthetic data is generated algorithmically and used to train machine learning models, validate mathematical models, and act as a stand-in for test production or operational data test datasets.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

Pickl AI

APRIL 26, 2024

The blog also presents popular data analytics courses, emphasizing their curriculum, learning methods, certification opportunities, and benefits to help aspiring Data Analysts choose the proper training for their career advancement. How do you ensure data privacy and security in your data analysis projects?

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Pickl AI

NOVEMBER 5, 2024

They empower organisations to unlock valuable insights from complex data. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. To provide additional information, the global business intelligence market was valued at USD 29.42 billion in 2023. It is expected to grow to USD 31.98

Business Intelligence 52

Business Intelligence Data Analysis Data Extraction Big Data 52

Artificial Corner

JUNE 6, 2023

However, it was inflexible and could not handle many-to-many relationships or complex relationships between data, which limited its use in more complex applications. Hierarchical databases, such as IBM’s Information Management System (IMS), were widely used in early mainframe database management systems. Morgan Kaufmann.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

The MLOps Blog

OCTOBER 3, 2023

What they do need is they just the credential information, which should be, I don’t wanna say fairly easy to get, but if it’s really hard for them to get it from their platform engineers, then that is maybe a sign of some deeper communication issues. And then we had another team that was the data platform team.

ML 52

ML Data Scientist Machine Learning Data Science 52

Unite.AI

JANUARY 22, 2025

We also worked on making integration easy to use for less technical data consumers – from the user interface and how people collaborate and govern data to how they build transforms and workflows. What makes data GenAI-ready, and how does Nexla address these requirements effectively? Its the same with people.

Auto-complete 147

Auto-complete Automation Machine Learning Data Integration 147

Pickl AI

JUNE 11, 2024

Summary: A data warehouse is a central information hub that stores and organizes vast amounts of data from different sources within an organization. Unlike operational databases focused on daily tasks, data warehouses are designed for analysis, enabling historical trend exploration and informed decision-making.

ETL 52

ETL Data Mining Data Integration Actionable Intelligence 52

Marktechpost

NOVEMBER 1, 2024

Tableau Tableau is well known for its user-friendly data visualization features, which let users make dynamic, interactive dashboards without knowing any code. Ask Data, an AI-powered element of the tool, allows users to ask questions in natural language and instantly get visual insights.

Artificial Intelligence 96

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 96

IBM Journey to AI blog

AUGUST 4, 2023

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

Machine Learning 183

Machine Learning Metadata Automation AI 183

AWS Machine Learning Blog

DECEMBER 11, 2024

Because Amazon Bedrock is serverless, you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications without having to manage any infrastructure. Tealium background and use case Tealium is a leader in real-time customer data integration and management.

Generative AI 71

Generative AI Chatbots Prompt Engineering Prompt Engineer 71