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.

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Data Platform Data Integration Data Ingestion Automation 52

Unite.AI

MARCH 6, 2025

Mashvisor Mashvisor is a real estate data platform that uses AI and big data to help investors find and analyze profitable rental properties (both traditional long-term rentals and Airbnb/short-term rentals). or even local market trends, and get insightful responses to guide your approach Visit DealMachine 9.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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IBM Journey to AI blog

DECEMBER 20, 2023

Unsupervised machine learning Unsupervised learning algorithms—like Apriori, Gaussian Mixture Models (GMMs) and principal component analysis (PCA)—draw inferences from unlabeled datasets, facilitating exploratory data analysis and enabling pattern recognition and predictive modeling.

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Machine Learning Neural Network Algorithm Computer Vision 230

Unite.AI

OCTOBER 14, 2024

What are the primary challenges organizations face when implementing AI for unstructured data analysis, and how does Quantum help mitigate these challenges? Organizations must completely reimagine their approach to storage, as well as data and content management as a whole.

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ML Data Ingestion Data Analysis Machine Learning 195

deepsense.ai

MAY 8, 2023

SQLDay, one of the biggest Microsoft Data Platform conferences in Europe, is set to host an insightful presentation on GPT in data analysis by Maksymilian Operlejn, Data Scientist at deepsense.ai. The presentation entitled “GPT in data analysis – will AI replace us?”

Data Analysis 52

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Marktechpost

MARCH 12, 2024

Taken as a whole, these enhancements significantly lessen the load of data development. Thanks to the readily available generation tools and support from ML data platforms, adopting Croissant enhances the value of their datasets with no effort. Dataset writers also prioritize their datasets’ discoverability and use.

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Metadata Machine Learning ML Data Discovery 119

IBM Journey to AI blog

JUNE 23, 2023

Enhanced data analysis : Generative AI can analyze complex financial data and identify patterns, correlations and anomalies that might be challenging for humans to spot on their own. The accuracy of the generated content can also be improved through iterative training and feedback loops.

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IBM Journey to AI blog

OCTOBER 20, 2023

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. As one would expect, these changes and growing demands have led to mounting provider frustration and burnout.

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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. Projects that need a lot of scalability in order to handle varying data volumes.

Big Data 81

Big Data ETL Business Intelligence Data Analysis 81

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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Pickl AI

FEBRUARY 23, 2025

Statistics : BigQuery can process terabytes of data in seconds, making it a preferred choice for companies needing quick insights from large datasets. Amazon EMR (Elastic MapReduce) Amazon EMR is a cloud-native Big Data platform that simplifies running Big Data frameworks such as Apache Hadoop and Apache Spark on AWS.

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Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. As a result, users can save time and effort in the data analysis process by eliminating the need for manual data preparation. The software is available as a free Chrome extension.

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Marktechpost

JUNE 5, 2024

Businesses that require assistance with managing or personalizing procedures related to huge data quality can use the company’s range of professional services and support offerings. Collibra Data Intelligence Platform Launched in 2008, Collibra offers corporate users data intelligence capabilities.

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Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. How would you segment customers based on their purchasing behaviour?

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 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

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.

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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

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Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

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ODSC - Open Data Science

OCTOBER 20, 2023

You’ll see a demonstration of how to use an effective control layer to help you train LLMs using a suite of open-source solutions, and scale these to true enterprise production levels while controlling costs and improving data quality. Check them out for free! Get our free Open Pass to join these , and all of our Showcase Talks, at ODSC West.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

AWS Machine Learning Blog

SEPTEMBER 18, 2023

The results of SUEWS are then visualized, in this case with Arup’s existing geospatial data platform. He has a proven track record of building successful teams and leading and delivering earth observation and data science-related projects across multiple environmental sectors.

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Pickl AI

JUNE 12, 2023

How Professionals Can Use Tableau for Data Science? Tableau is a powerful data visualization and business intelligence tool that can be effectively used by professionals in the field of data science. Professionals can connect to various data sources, including databases, spreadsheets, and big data platforms.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 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. R’s workflow support enhances productivity and collaboration among data scientists.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

Pickl AI

JUNE 29, 2023

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data.

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Big Data DevOps Data Analysis Machine Learning 52

AWS Machine Learning Blog

AUGUST 15, 2024

User interactions with the Bot Fulfillment function generate logs and metrics data, which is sent to Amazon Kinesis Data Firehose and then to Amazon S3 for later data analysis. Outside of work, Abhishek enjoys spending time outdoors, reading, resistance training, and practicing yoga.

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Chatbots Generative AI AI Chatbots LLM 123

Pickl AI

DECEMBER 16, 2024

Whether you aim for comprehensive data integration or impactful visual insights, this comparison will clarify the best fit for your goals. Key Takeaways Microsoft Fabric is a full-scale data platform, while Power BI focuses on visualising insights. Fabric suits large enterprises; Power BI fits team-level reporting needs.

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The MLOps Blog

MAY 31, 2023

You may also like Building a Machine Learning Platform [Definitive Guide] Consideration for data platform Setting up the Data Platform in the right way is key to the success of an ML Platform. In the following sections, we will discuss best practices while setting up a Data Platform for Retail.

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Pickl AI

OCTOBER 25, 2023

Big Data technologies assist in collecting, cleaning, and organizing data, making it ready for AI algorithms. The quality of input data greatly influences the effectiveness of AI models. Data Analysis Big Data analytics provides AI with the fuel it needs to function.

Big Data 52

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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?

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Pickl AI

OCTOBER 10, 2024

It supports real-time data processing and has built-in security protocols to ensure data integrity. Some common use cases for Apache Nifi include streaming data from IoT devices, ingesting data into big data platforms, and transferring data between cloud environments.

ETL 52

ETL Data Quality Machine Learning Business Intelligence 52

Pickl AI

NOVEMBER 5, 2024

Data Connectivity Tableau and Power BI offer robust data connectivity, but some differences exist. Tableau supports many data sources, including cloud databases, SQL databases, and Big Data platforms. Larger enterprises that require in-depth Data Analysis and visualisation capabilities may lean toward Tableau.

Business Intelligence 52

Business Intelligence Data Analysis Data Extraction Big Data 52

Pickl AI

OCTOBER 6, 2024

Common ELT Tools and Technologies Several tools and technologies have emerged to facilitate the ELT process, each offering unique features to optimise data integration. Some popular ELT tools include: Google BigQuery: A serverless data warehouse that enables efficient data analysis. When Should I Choose ETL Over ELT?

ETL 52

ETL Data Quality Data Integration Big Data 52

Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. But what is Hadoop and what is the importance of Hadoop in Big Data?

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Big Data Machine Learning Data Quality Data Analysis 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

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Artificial Corner

JUNE 6, 2023

With large scale investment in server farms, where immense amounts of data could be captured, stored and somehow used. We’ve seen the power of this data used everywhere around us. But let’s not allow that to slow our ever growing lust for more data! Not without proving its usefulness and benefits!

Big Data 52

Big Data Data Mining Data Scientist Business Intelligence 52

ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

Artificial Corner

JUNE 6, 2023

This made them ideal for trend analysis, business reporting, and decision support. The development of data warehouses marked a shift in how businesses used data, moving from transactional processing to data analysis and decision support.

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Data Mining Big Data ETL Machine Learning 52