AI News

SEPTEMBER 27, 2024

Ahead of AI & Big Data Expo Europe, AI News caught up with Ivo Everts, Senior Solutions Architect at Databricks , to discuss several key developments set to shape the future of open-source AI and data governance. With our GenAI app you can generate your own cartoon picture, all running on the Data Intelligence Platform.”

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Large Language Models Big Data Explainability ETL 314

IBM Journey to AI blog

NOVEMBER 13, 2023

High-performance computing Industries including government, science, finance and engineering rely heavily on high-performance computing (HPC) , the technology that processes big data to perform complex calculations. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions.

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DevOps Software Development Automation Machine Learning 323

Analytics Vidhya

MARCH 31, 2023

The availability of sophisticated analytical tools that utilize big data has helped businesses develop more accurate profiles. Moreover, employing AI for marketing analysis helps leverage the power of analytics and consumer profile information. AI is the solution for you!

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Big Data AI AI Data Analysis 348

Analytics Vidhya

JUNE 26, 2023

Introduction Data is, somewhat, everything in the business world. To state the least, it is hard to imagine the world without data analysis, predictions, and well-tailored planning! 95% of C-level executives deem data integral to business strategies.

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Analytics Vidhya

APRIL 9, 2023

Indian Government Set to Revolutionize Taxation Using Data Analytics The evolution of technology has proven to be beneficial for the finance industry. Predicting the future using Artificial Intelligence (AI), data analytics, and machine learning (ML).

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Unite.AI

JULY 2, 2023

Real-time customer data is integral in hyperpersonalization as AI uses this information to learn behaviors, predict user actions, and cater to their needs and preferences. Data Analysis AI and ML algorithms analyze the collected data to identify patterns and trends. Diagnostic (why did it happen?)

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Analytics Vidhya

MAY 17, 2023

How can we sift through many variables to identify the most influential factors for accurate predictions in machine learning? Recursive Feature Elimination offers a compelling solution, and RFE iteratively removes less important features, creating a subset that maximizes predictive accuracy.

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Machine Learning Algorithm Big Data Data Analysis 276

Pickl AI

SEPTEMBER 12, 2024

Summary: This blog explores how Airbnb utilises Big Data and Machine Learning to provide world-class service. It covers data collection and analysis, enhancing user experience, improving safety, real-world applications, challenges, and future trends.

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AI News

SEPTEMBER 30, 2024

A mathematician by training and a skilled practitioner in many aspects of data analysis, we began our interview by having him describe Wolfram’s work in an elevator pitch format. It’s things like social network analysis, biosciences, actuarial science, and financial computations.

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Data Science Big Data Artificial Intelligence Artificial Intelligence 235

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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Unite.AI

MARCH 6, 2025

Its machine learning engine sifts through millions of data points on life eventssuch as new jobs, marriages, expanding families, financial changes, and moreto identify contacts with a high likely to move score. It aggregates data on over 136 million U.S.

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AI AI Automation Algorithm 179

Pickl AI

OCTOBER 9, 2023

However, with the emergence of Machine Learning algorithms, the retail industry has seen a revolutionary shift in demand forecasting capabilities. This technology allows computers to learn from historical data, identify patterns, and make data-driven decisions without explicit programming.

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AI News

SEPTEMBER 19, 2023

While there is public concern over the trustworthiness of AI, we shouldn’t lose sight of the business benefits that it provides, such as forecasting and improved data analysis, and work towards a solution. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Responsible AI AI Developer AI Development Big Data 331

AWS Machine Learning Blog

OCTOBER 16, 2024

Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata. Tom Lauwers is a machine learning engineer on the video personalization team for DPG Media. The project focused solely on audio processing due to its cost-efficiency and faster processing time.

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Metadata Automation Generative AI AI 111

IBM Journey to AI blog

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

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Marktechpost

JULY 7, 2024

These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

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Unite.AI

MARCH 22, 2024

Companies can use Postgres for all kinds of applications – from small projects to handling the big data needs of major tech corporations. This improves data retrieval efficiency and enables real-time interactions with systems and data. Visit unite.ai The post AI GPTs for PostgreSQL Database: Can They Work?

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AWS Machine Learning Blog

MARCH 18, 2025

LLM-powered data analysis The transcribed interviews and ingested documents are fed into a powerful LLM, which can understand and correlate the information from multiple sources. The LLM can identify key insights, potential issues, and areas of non-compliance by analyzing the content and context of the data.

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Flipboard

FEBRUARY 2, 2023

We’re organizing a free Bayesian Data Analysis course targeted for Global south and other underrepresented groups. This is currently the third …

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Data Analysis Big Data Data Science Machine Learning 94

Towards AI

APRIL 4, 2024

Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme. Amidst the hoopla, do people actually understand what machine learning is, or are they just using the word as a text thread equivalent of emoticons?

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Flipboard

JANUARY 30, 2023

These recordings are part of a set of videos that are available from the free four-week online course Introduction to Bayesian Data Analysis, taught …

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Data Analysis Big Data Data Science Machine Learning 95

Flipboard

FEBRUARY 22, 2023

Darrow CTO and co-founder Gila Hayat explains the enormous benefit presented by the proper implementation of AI within a legal system. The public …

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Data Analysis Explainability AI AI 123

Flipboard

FEBRUARY 16, 2023

This is the third part of my Pandas & Python TricksContinue reading on Towards Data Science »

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Data Science Data Analysis Python Big Data 123

Pickl AI

SEPTEMBER 13, 2024

Summary: This blog examines the role of AI and Big Data Analytics in managing pandemics. It covers early detection, data-driven decision-making, healthcare responses, public health communication, and case studies from COVID-19, Ebola, and Zika outbreaks, highlighting emerging technologies and ethical considerations.

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ODSC - Open Data Science

AUGUST 9, 2023

In the unceasingly dynamic arena of data science, discerning and applying the right instruments can significantly shape the outcomes of your machine learning initiatives. A cordial greeting to all data science enthusiasts! At this point, our dataset is ready for machine learning tasks!

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Machine Learning Big Data Data Science Algorithm 52

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.

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Pickl AI

SEPTEMBER 11, 2024

Summary: Big Data as a Service (BDaaS) offers organisations scalable, cost-effective solutions for managing and analysing vast data volumes. By outsourcing Big Data functionalities, businesses can focus on deriving insights, improving decision-making, and driving innovation while overcoming infrastructure complexities.

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Marktechpost

APRIL 7, 2024

Each vector represents a data point in a multi-dimensional space, encapsulating the complexity of information ranging from simple numerical datasets to high-dimensional data like images, videos, and natural language text. Why Vector Databases?

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Machine Learning Big Data Data Analysis Algorithm 145

Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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Unite.AI

DECEMBER 5, 2023

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing!

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Metadata Big Data ETL Data Mining 159

Becoming Human

JANUARY 23, 2023

- a beginner question Let’s start with the basic thing if I talk about the formal definition of Data Science so it’s like “Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis” , is the definition enough explanation of data science?

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AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. This capability can significantly reduce the time and effort required for market research, competitive analysis, and internal reporting. Malav holds a Masters degree in Computer Science.

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Machine Learning Large Language Models Python Automation 80

Pickl AI

SEPTEMBER 18, 2024

Summary: Netflix’s sophisticated Big Data infrastructure powers its content recommendation engine, personalization, and data-driven decision-making. As a pioneer in the streaming industry, Netflix utilises advanced data analytics to enhance user experience, optimise operations, and drive strategic decisions.

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Big Data Algorithm Automation Machine Learning 52

Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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Big Data Data Quality NLP Algorithm 52

Marktechpost

JULY 3, 2024

Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications. Netflix: Evolving Big Data Job Remediation Netflix has shifted from traditional rule-based classifiers to machine learning-powered auto-remediation systems for handling failed big data jobs.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

NOTE : Output ETF names do not represent the actual data in the dataset used in this demonstration. What would the LLM’s response or data analysis be when the user’s questions in industry specific natural language get more complex? However, there is room for improvement in the analysis of data from structured datasets.

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AWS Machine Learning Blog

MARCH 30, 2023

Therefore, it’s no surprise that determining the proficiency of goalkeepers in preventing the ball from entering the net is considered one of the most difficult tasks in football data analysis. The result is a machine learning (ML)-powered insight that allows fans to easily evaluate and compare the goalkeepers’ proficiencies.

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