Flipboard

NOVEMBER 19, 2024

For more information, see Getting started with the AWS CDK. He helps customers and partners build big data platform and generative AI applications. Your access to the AWS account must have AWS Identity and Access Management (IAM) permissions to launch AWS CloudFormation templates that create IAM roles. Docker installed.

Generative AI 123

Generative AI Metadata Robotics LLM 123

Unite.AI

MARCH 6, 2025

The platform delivers daily leads and contact information for predicted sellers, along with automated outreach tools. Its predictive analytics can project how a homes value may change under various scenarios, helping professionals and even lenders make more informed decisions.

AI 176

AI AI Automation Algorithm 176

Pickl AI

OCTOBER 25, 2023

How Big Data and AI Work Together: Synergies & Benefits: The growing landscape of technology has transformed the way we live our lives. of companies say they’re investing in Big Data and AI. Although we talk about AI and Big Data at the same length, there is an underlying difference between the two.

Big Data 52

Big Data Artificial Intelligence Artificial Intelligence Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 236

Data Science Data Scientist Machine Learning Data Mining 236

IBM Journey to AI blog

MAY 21, 2024

At the time, Sevilla FC could efficiently access and use quantitative player data in a matter of seconds, but the process of extracting qualitative information from the database was much slower in comparison. In the case of Sevilla FC, using big data to recruit players had the potential to change the core business.

NLP 211

NLP Natural Language Processing Explainability Data Scientist 211

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

JANUARY 10, 2024

AI can also work from deep learning algorithms, a subset of ML that uses multi-layered artificial neural networks (ANNs)—hence the “deep” descriptor—to model high-level abstractions within big data infrastructures. Traditionally coded programs also struggle with independent iteration.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Flipboard

JUNE 30, 2023

Over the past several months we’ve produced a number of in-depth analyses laying out our mental model for the future of data platforms. There are two …

Data Platform 123

Data Platform Big Data Machine Learning 123

Flipboard

APRIL 10, 2023

Most organizations are now well into re-platforming their enterprise data stacks to cloud-first architectures. The shift in data gravity to centralized cloud data platforms brings enormous potential. However, many organizations are still struggling to deliver value and demonstrate true business …

Data Platform 123

Data Platform Big Data Machine Learning 123

AWS Machine Learning Blog

MARCH 5, 2025

To ensure the highest quality measurement of your question answering application against ground truth, the evaluation metrics implementation must inform ground truth curation. By following these guidelines, data teams can implement high fidelity ground truth generation for question-answering use case evaluation with FMEval.

Generative AI 75

Generative AI LLM AI AI 75

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 144

LLM Data Platform Software Engineer Chatbots 144

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?

Data Quality 110

Data Quality Metadata Data Integration ETL 110

AWS Machine Learning Blog

DECEMBER 18, 2023

By exploring these challenges, organizations can recognize the importance of real-time forecasting and explore innovative solutions to overcome these hurdles, enabling them to stay competitive, make informed decisions, and thrive in today’s fast-paced business environment. For more information, refer to the following resources.

Data Extraction 118

Data Extraction Data Ingestion ML Machine Learning 118

IBM Journey to AI blog

JULY 7, 2023

Data protection and data privacy Data protection , defined as protecting important information from corruption, damage or loss, is critical because data breaches resulting from cyberattacks can include personally identifiable information (PII), health information, financial information, intellectual property and other personal data.

Categorization 100

Categorization Automation Big Data Data Platform 100

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Specify session:role-any as the new scope.

IDP 123

IDP Data Scientist Categorization Data Quality 123

Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. These skilled professionals are tasked with building and deploying models that improve the quality and efficiency of BMW’s business processes and enable informed leadership decisions.

ML 153

ML DevOps Data Scientist ML Engineer 153

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 117

Convolutional Neural Networks Algorithm Neural Network Data Science 117

Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

Data Science 52

Data Science Data Scientist Big Data Machine Learning 52

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

JUNE 29, 2023

It initiates the collection, indexing, and analysis of machine-generated data in real-time. It helps harness the power of big data and turn it into actionable intelligence. Moreover, it allows users to ingest data from different sources. Additionally, Splunk can process and index massive volumes of data.

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52

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

AWS Machine Learning Blog

FEBRUARY 13, 2024

We were facing the following challenges to operate their existing setup: With the continuous introduction of new products, the computer vision model needed to continuously incorporate new product information. To keep pace with new products, a new model was produced each month using the latest training data.

Computer Vision 118

Computer Vision Convolutional Neural Networks ML AI 118

Pickl AI

SEPTEMBER 25, 2024

Introduction The COBIT (Control Objectives for Information and Related Technologies) framework is a globally recognised tool designed to help organisations govern and manage their IT operations effectively. Read Blog: How Can Adopting a Data Platform Simplify Data Governance For An Organization?

Big Data 52

Big Data Big Data Engineer Data Science Data Platform 52

ODSC - Open Data Science

JULY 13, 2023

While gathering operational and consumer information can benefit businesses, they often face obstacles. Some of the top data challenges in the retail industry involve collection and application. Gathering massive amounts of information can be relatively easy, but properly utilizing it can be complex, leading to these data challenges.

Categorization 52

Categorization Data Science Machine Learning Big Data 52

AWS Machine Learning Blog

OCTOBER 20, 2023

Data lake foundations This module helps data lake admins set up a data lake to ingest data, curate datasets, and use the AWS Lake Formation governance model for managing fine-grained data access across accounts and users using a centralized data catalog, data access policies, and tag-based access controls.

ML 119

ML Data Scientist ML Engineer Data Science 119

Pickl AI

OCTOBER 10, 2024

Enhanced Data Quality : These tools ensure data consistency and accuracy, eliminating errors often occurring during manual transformation. Scalability : Whether handling small datasets or processing big data, transformation tools can easily scale to accommodate growing data volumes.

ETL 52

ETL Data Quality Machine Learning Business Intelligence 52

Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 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 77

Neural Network Convolutional Neural Networks Metadata Data Scientist 77

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

ODSC - Open Data Science

OCTOBER 20, 2023

The Tangent Information Modeler, Time Series Modeling Reinvented Philip Wauters | Customer Success Manager and Value Engineer | Tangent Works Existing techniques for modeling time series data face limitations in scalability, agility, explainability, and accuracy.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

John Snow Labs

AUGUST 7, 2024

The Brookings Institution underscores the various potential functions of Generative AI in healthcare, including routine information gathering, diagnosis, and treatment. Ethical considerations, concerns regarding data privacy and the necessity, for frameworks are key topics of discussion.

Generative AI 59

Generative AI AI AI Algorithm 59

AWS Machine Learning Blog

SEPTEMBER 6, 2024

By providing a true expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality. Ground truth curation and metric interpretation are tightly coupled, and the implementation of the evaluation metric must inform ground truth curation to achieve best results.

Generative AI 87

Generative AI LLM AI AI 87

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. Data Storage The approach to data storage differs fundamentally between ETL and ELT.

ETL 52

ETL Data Quality Data Integration Big Data 52

Pickl AI

JUNE 12, 2023

Importance of Tableau Tableau is used by different industries and organisations that helps in collecting large amount of datasets and therefore, using the data to interpret meaningful information. It further helps in understanding the information better and utilise it for effective decision-making.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

Marktechpost

JULY 18, 2023

assists e-commerce businesses in creating a 360-degree perspective of their customers, creating a single source of truth for data-driven choices, enhancing consumer insights through improved operational insights, and boosting ROI. It gives vital data and benefits to the organization while supporting the data integration lifecycle.

ETL 52

ETL Data Integration Business Intelligence Automation 52

AWS Machine Learning Blog

AUGUST 3, 2023

The idea is to use Amazon Rekognition to detect the location of the car and its wheels and then do postprocessing to derive the orientation of the car from this information. This additional information can be further used in the car angle computations relative to the image. split(",")[-1] body_bytes = base64.b64decode(body_bytes)

Computer Vision 70

Computer Vision Data Scientist ML Deep Learning 70

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.

ETL 59

ETL Categorization Data Integration Automation 59