Unite.AI

DECEMBER 26, 2024

Key features: Multi-retailer customer data processing system with direct messaging capabilities Real-time analytics engine tracking sales and search performance Cross-channel attribution system with Amazon advertising integration AI-powered forecasting and scenario planning tools Automated content generation for product listings Visit Stackline 3.

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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

IBM Journey to AI blog

JUNE 12, 2023

A long-standing partnership between IBM Human Resources and IBM Global Chief Data Office (GCDO) aided in the recent creation of Workforce 360 (Wf360), a workforce planning solution using IBM’s Cognitive Enterprise Data Platform (CEDP). Data quality is a key component for trusted talent insights.

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Data Quality Automation Data Ingestion Data Platform 187

AWS Machine Learning Blog

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors.

Generative AI 133

Generative AI Data Ingestion Python LLM 133

Marktechpost

JUNE 5, 2024

You can optimize your costs by using data profiling to find any problems with data quality and content. Fixing poor data quality might otherwise cost a lot of money. The 18 best data profiling tools are listed below. It comes with an Informatica Data Explorer function to meet your data profiling requirements.

Data Quality 113

Data Quality Metadata Data Integration ETL 113

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 130

Data Quality Metadata Big Data ETL 130

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

Unite.AI

OCTOBER 14, 2024

Intelligent automation tools manage data movement, backup, and compliance tasks based on set policies, ensuring consistent application, and reducing administrative burdens​. What is the outlook for AI-powered data management, and what trends do you foresee in the coming years?

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ML Data Ingestion Data Analysis Machine Learning 195

Towards AI

JANUARY 28, 2024

To start, get to know some key terms from the demo: Snowflake: The centralized source of truth for our initial data Magic ETL: Domo’s tool for combining and preparing data tables ERP: A supplemental data source from Salesforce Geographic: A supplemental data source (i.e., Instagram) used in the demo Why Snowflake?

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ETL Python Data Platform Data Integration 111

IBM Journey to AI blog

OCTOBER 20, 2023

Store operating platform : Scalable and secure foundation supports AI at the edge and data integration. Get to know IBM watsonX IBM watsonx is an AI and data platform with a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business.

Machine Learning 225

Machine Learning Automation AI AI 225

AWS Machine Learning Blog

AUGUST 4, 2023

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another.

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Data Scientist ML ETL AI 98

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.

Big Data 82

Big Data ETL Business Intelligence Data Analysis 82

Unite.AI

JUNE 4, 2024

Although migration work is a key component of our business, it’s the data platform engagements that really stand out when you’re talking about value to the business. This led to inconsistent data standards and made it difficult for them to gain actionable insights. The impact of these efforts was transformative.

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Data Ingestion Data Platform Machine Learning Generative AI 130

Unite.AI

DECEMBER 13, 2024

Travel involves dreaming, planning, booking, and sharingprocesses that generate immense amounts of data. However, this data has remained largely underutilized. Yanoljas commitment to leveraging AI and advanced data platforms to improve these experiences was inspiring. Second, data is the foundation of AI.

Software Engineer 100

Software Engineer Data Quality Data Platform Automation 100

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 Business Intelligence Machine Learning 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.

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ETL Data Integration Business Intelligence Automation 52

AWS Machine Learning Blog

DECEMBER 7, 2023

Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. Esra Kayabalı is a Senior Solutions Architect at AWS, specializing in the analytics domain including data warehousing, data lakes, big data analytics, batch and real-time data streaming and data integration.

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Convolutional Neural Networks Algorithm Neural Network Data Science 131

The MLOps Blog

MARCH 15, 2023

Some of the popular cloud-based vendors are: Hevo Data Equalum AWS DMS On the other hand, there are vendors offering on-premise data pipeline solutions and are mostly preferred by organizations dealing with highly sensitive data. Dagster Supports end-to-end data management lifecycle. It supports multiple file formats.It

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ETL Categorization 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. Can Microsoft Fabric and Power BI be Used Together?

ETL 52

ETL Data Ingestion Data Integration Machine Learning 52

Pickl AI

OCTOBER 6, 2024

It is a crucial data integration process that involves moving data from multiple sources into a destination system, typically a data warehouse. This process enables organisations to consolidate their data for analysis and reporting, facilitating better decision-making. ETL stands for Extract, Transform, and Load.

ETL 52

ETL Data Quality Data Integration Big Data 52

TransOrg Analytics

AUGUST 9, 2024

In the realm of data management and analytics, businesses face a myriad of options to store, manage, and utilize their data effectively. Understanding their differences, advantages, and ideal use cases is crucial for making informed decisions about your data strategy.

Machine Learning 52

Machine Learning ETL Big Data Data Quality 52

AWS Machine Learning Blog

MAY 15, 2023

His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. He loves combining open-source projects with cloud services.

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Neural Network Convolutional Neural Networks Metadata Data Scientist 98

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 120

Data Ingestion Metadata NLP Data Scientist 120

Marktechpost

JULY 17, 2023

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Pickl AI

APRIL 26, 2024

During a data analysis project, I encountered a significant data discrepancy that threatened the accuracy of our analysis. I conducted thorough data validation, collaborated with stakeholders to identify the root cause, and implemented corrective measures to ensure data integrity.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Marktechpost

JULY 17, 2023

To educate self-driving cars on how to avoid killing people, the business concentrates on some of the most challenging use cases for its synthetic data platform. Its most recent development, made in partnership with the Toyota Research Institute, teaches autonomous systems about object permanence using synthetic data.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

Pickl AI

JUNE 18, 2023

Aside from cluster management, responsibilities like data integration and data quality control can be difficult for organisations that use Hadoop systems. While all of its elements can now be found in stored in the cloud big data platforms, Hadoop remains largely an on-site solution form.

Big Data 52

Big Data Machine Learning Data Quality Data Analysis 52

Pickl AI

JUNE 23, 2023

This includes ensuring data privacy, security, and compliance with ethical guidelines to avoid biases, discrimination, or misuse of data. Also Read: How Can The Adoption of a Data Platform Simplify Data Governance For An Organization?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Pickl AI

NOVEMBER 5, 2024

Tableau supports many data sources, including cloud databases, SQL databases, and Big Data platforms. Users can connect to live data or extract data for analysis, giving flexibility to those with extensive and complex datasets.

Business Intelligence 52

Business Intelligence Data Analysis Data Extraction Big Data 52

Artificial Corner

JUNE 6, 2023

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. MapReduce: simplified data processing on large clusters. Data integration and ETL: techniques for data management.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

The MLOps Blog

OCTOBER 3, 2023

There was the team that I was on, where we were very intensely focused on making tools and setting up the environment for development and training for data scientists, as well as helping out with the actual productionization work. They started off as doing data integrations, and then became the ML monitoring team.

ML 52

ML Data Scientist Machine Learning Data Science 52

Unite.AI

JANUARY 22, 2025

Scalability: GenAI LLMs can be data- and compute-intensive, so the underlying data infrastructure needs to be able to scale to meet the demands of these models. Many enterprises make the mistake of attempting to consolidate everything into a massive data lake. But, to be honest, thats a nearly impossible battle to win.

Auto-complete 147

Auto-complete Automation Machine Learning Data Integration 147

Pickl AI

JUNE 11, 2024

Let’s explore some key features and capabilities that empower data warehouses to transform raw data into actionable intelligence: Historical Data Integration Imagine having a single, unified platform that consolidates data from all corners of your organization – sales figures, customer interactions, marketing campaigns, and more.

ETL 52

ETL Data Mining Data Integration Actionable Intelligence 52

Marktechpost

NOVEMBER 1, 2024

With features like interactive visualizations, data modeling support, AI-guided search, and real-time data monitoring, it’s perfect for analysts and business users who require quick, clear insights. ThoughtSpot is a cloud-based solution that offers adjustable pricing to accommodate different requirements.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 97

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.

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Generative AI Chatbots Prompt Engineer Prompt Engineering 81