Unite.AI

SEPTEMBER 22, 2023

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. I would say modern tool sets that are designed keeping in view the requirements of the new age data that we are receiving have changed in in past few years and the volume of course has changed.

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ODSC - Open Data Science

JUNE 15, 2023

Why Data Security is Critical to Creating Effective AI Programs Traditional data security approaches fail to account for malicious attacks targeting AI initiatives. In no particular order, here are 3 reasons why data security is critical to building effective AI programs.

Data Scientist 52

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IBM Journey to AI blog

SEPTEMBER 5, 2024

To maximize the value of their AI initiatives, organizations must maintain data integrity throughout its lifecycle. Managing this level of oversight requires adept handling of large volumes of data. Just as aircraft, crew and passengers are scrutinized, data governance maintains data integrity and prevents misuse or mishandling.

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Attivio

JUNE 8, 2015

Featuring self-service data discovery acceleration capabilities, this new solution solves a major issue for business intelligence professionals: significantly reducing the tremendous amount of time being spent on data before it can be analyzed.

Business Intelligence 40

Business Intelligence Big Data Data Discovery Data Scientist 40

The MLOps Blog

JUNE 27, 2023

Some popular end-to-end MLOps platforms in 2023 Amazon SageMaker Amazon SageMaker provides a unified interface for data preprocessing, model training, and experimentation, allowing data scientists to collaborate and share code easily. A self-service infrastructure portal for infrastructure and governance.

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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.

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ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. Unlike traditional data warehouses or relational databases, data lakes accept data from a variety of sources, without the need for prior data transformation or schema definition.

Big Data 98

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IBM Journey to AI blog

DECEMBER 16, 2022

And because data assets within the catalog have quality scores and social recommendations, Alex has greater trust and confidence in the data she’s using for her decision-making recommendations. This is especially helpful when handling massive amounts of big data. Protected and compliant data.

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AWS Machine Learning Blog

DECEMBER 4, 2023

Additionally, our seamless integration with AWS’s object storage service Amazon Simple Storage Service (Amazon S3) has been key to efficiently storing and accessing these refined models. She joined Getir in 2022, and has been working as a Data Scientist. SageMaker is a fully managed ML service.

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Unite.AI

FEBRUARY 21, 2024

All of these features are extremely helpful for modern data teams, but what makes Airflow the ideal platform is that it is an open-source project –– meaning there is a community of Airflow users and contributors who are constantly working to further develop the platform, solve problems and share best practices.

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Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Role of Data Scientists Data Scientists are the architects of data analysis.

Data Science 52

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AWS Machine Learning Blog

DECEMBER 7, 2023

She then joined Getir in 2022 as a data scientist and has worked on Recommendation Engine projects, Mathematical Programming for Workforce Planning. Emre Uzel received his Master’s Degree in Data Science from Koç University. Emre Uzel received his Master’s Degree in Data Science from Koç University.

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Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

Data Scientist 52

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Pickl AI

OCTOBER 9, 2023

The Solution: XYZ Retail embarked on a transformative journey by integrating Machine Learning into its demand forecasting strategy. Retailers must ensure data is clean, consistent, and free from anomalies. Consistently review and purify data to uphold its accuracy. Invest in robust data integration to maximize insights.

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AWS Machine Learning Blog

MAY 15, 2023

She worked as a data scientist at Arcelik, focusing on spare-part recommendation models and age, gender, emotion analysis from speech data. She then joined Getir in 2022 as a Senior Data Scientist working on forecasting and search engine projects. He joined Getir in 2021, and has been working as a Data Scientist.

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Neural Network Convolutional Neural Networks Metadata Data Scientist 79

ODSC - Open Data Science

OCTOBER 18, 2024

The advent of big data, affordable computing power, and advanced machine learning algorithms has fueled explosive growth in data science across industries. However, research shows that up to 85% of data science projects fail to move beyond proofs of concept to full-scale deployment.

Data Science 52

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AWS Machine Learning Blog

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. Tanvi Singhal is a Data Scientist within AWS Professional Services.

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Pickl AI

AUGUST 1, 2023

It involves the design, development, and maintenance of systems, tools, and processes that enable the acquisition, storage, processing, and analysis of large volumes of data. Data Engineers work to build and maintain data pipelines, databases, and data warehouses that can handle the collection, storage, and retrieval of vast amounts of data.

Big Data 52

Big Data Data Analysis Data Scientist Data Science 52

Marktechpost

AUGUST 27, 2024

This article lists the top data analysis courses that can help you build the essential skills needed to excel in this rapidly growing field. Introduction to Data Analytics This course provides a comprehensive introduction to data analysis, covering the roles of data professionals, data ecosystems, and Big Data tools like Hadoop and Spark.

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Data Analysis Python Data Scientist ETL 56

Marktechpost

JULY 17, 2023

The company’s H20 Driverless AI streamlines AI development and predictive analytics for professionals and citizen data scientists through open source and customized recipes. 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

Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning 52

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Pickl AI

NOVEMBER 4, 2024

Introduction Data Engineering is the backbone of the data-driven world, transforming raw data into actionable insights. As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. The global data integration market was valued at USD 11.6

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TransOrg Analytics

AUGUST 9, 2024

Performance: Query performance can be slower compared to optimized data stores. Business Applications: Big Data Analytics : Supporting advanced analytics, machine learning, and artificial intelligence applications. Data Archival : Storing historical data that might be needed for future analysis.

Machine Learning 52

Machine Learning ETL Big Data Data Quality 52

Pickl AI

JULY 18, 2023

Data Science helps businesses uncover valuable insights and make informed decisions. But for it to be functional, programming languages play an integral role. Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information.

Data Science 52

Data Science Data Scientist Python Business Intelligence 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.

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Pickl AI

APRIL 14, 2023

In addition, it also defines the framework wherein it is decided what action needs to be taken on certain data. And so, a company dealing in Big Data Analysis needs to follow stringent Data Governance policies. The same applies to data. What is Data Management? Wrapping it up !!!

Data Platform 52

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Pickl AI

OCTOBER 8, 2024

File Locking Mechanisms To prevent conflicts during concurrent access by multiple users, DFS implements file locking mechanisms that ensure only one user can modify a file at any given time, maintaining data integrity. Efficient Data Retrieval AI algorithms often require quick access to data for training and inference.

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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. MongoDB, developed by MongoDB Inc.,

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

ODSC - Open Data Science

JUNE 7, 2023

Data lakes are able to handle a diverse range of data types. From images, videos, text, and even sensor data. Then, there’s data integration. A data lake can also act as a central hub for integrating data from various sources and systems within an organization.

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Pickl AI

JULY 16, 2024

Understanding AIOps Think of AIOps as a multi-layered application of Big Data Analytics , AI, and ML specifically tailored for IT operations. Its primary goal is to automate routine tasks, identify patterns in IT data, and proactively address potential issues. This might involve data cleansing and standardization efforts.

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Pickl AI

NOVEMBER 15, 2023

Unlike traditional databases, Data Lakes enable storage without the need for a predefined schema, making them highly flexible. Importance of Data Lakes Data Lakes play a pivotal role in modern data analytics, providing a platform for Data Scientists and analysts to extract valuable insights from diverse data sources.

ETL 52

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Pickl AI

JUNE 6, 2024

The Applications of a Clean Sweep: Where Data Scrubbing Shines Data scrubbing isn’t a niche operation reserved for data scientists in ivory towers. The scope is constantly expanding due to several factors: The Rise of Big Data Manual data cleaning becomes impractical with ever-increasing data volumes.

Machine Learning 40

Machine Learning Algorithm Business Intelligence Data Quality 40

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

AWS Machine Learning Blog

OCTOBER 23, 2024

Agent Creator Creating enterprise-grade, LLM-powered applications and integrations that meet security, governance, and compliance requirements has traditionally demanded the expertise of programmers and data scientists. He currently is working on Generative AI for data integration. Not anymore!

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Marktechpost

NOVEMBER 4, 2024

In order to solve particular business questions, this process usually includes developing and managing data systems, collecting and cleaning data, analyzing it statistically, and interpreting the findings. Tableau is a cost-effective option for businesses concentrating on data-driven storytelling and visualization.

Data Analysis 81

Data Analysis Machine Learning Data Science Python 81

AWS Machine Learning Blog

AUGUST 2, 2024

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. About the authors Vicente Cruz Mínguez is the Head of Data & Advanced Analytics at Cepsa Química.

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Marktechpost

NOVEMBER 1, 2024

Tableau is a cost-effective option for businesses concentrating on data-driven storytelling and visualization, with options beginning at $12 per month. Microsoft Azure Machine Learning Data scientists can create, train, and implement models with Microsoft Azure Machine Learning, a cloud-based platform.

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