AI News

MAY 20, 2024

Only a third of leaders confirmed that their businesses ensure the data used to train generative AI is diverse and unbiased. Furthermore, only 36% have set ethical guidelines, and 52% have established data privacy and security policies for generative AI applications. Want to learn more about AI and big data from industry leaders?

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Marktechpost

NOVEMBER 19, 2024

With their own unique architecture, capabilities, and optimum use cases, data warehouses and big data systems are two popular solutions. The differences between data warehouses and big data have been discussed in this article, along with their functions, areas of strength, and considerations for businesses.

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IBM Journey to AI blog

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

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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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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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Marktechpost

NOVEMBER 1, 2024

The development of Artificial Intelligence (AI) tools has transformed data processing, analysis, and visualization, increasing the efficiency and insight of data analysts’ work. With so many alternatives, selecting the best AI tools can allow for deeper data research and greatly increase productivity.

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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. That has been one of the key trends and one most recent ones is the addition of artificial intelligence to use AI, specifically generative AI to make automation even better.

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Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Fundamentals of Big Data Understanding the fundamentals of Big Data is crucial for anyone entering this field.

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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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IBM Journey to AI blog

DECEMBER 11, 2023

With the rapid advancements in cloud computing, data management and artificial intelligence (AI) , hybrid cloud plays an integral role in next-generation IT infrastructure. This redundancy prevents data loss if one of the backups is comprised.

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IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

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IBM Journey to AI blog

JANUARY 29, 2024

Artificial intelligence – Artificial intelligence , or AI, is a digital technology that uses computers and machines to mimic the human mind’s capabilities. The AI learns from what it sees around it and when combined with automation can infuse intelligence and real-time decision-making into any workflow.

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Marktechpost

JUNE 13, 2024

ELT Pipelines: Typically used for big data, these pipelines extract data, load it into data warehouses or lakes, and then transform it. It is suitable for distributed and scalable large-scale data processing, providing quick big-data query and analysis capabilities.

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IBM Journey to AI blog

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

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Aiiot Talk

SEPTEMBER 13, 2023

AWS offers a large suite of tools for data science, including Amazon Sagemaker for machine learning, Redshift for data warehousing and EMR for big data processing. Its global network of data centers ensures fast data access and scalability.

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IBM Journey to AI blog

JULY 7, 2023

Business analytics: Data and insights help knowledge workers make informed decisions and find new opportunities. While Big Data and artificial intelligence (AI) provide the numbers, knowledge workers are key to understanding them.

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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.

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AWS Machine Learning Blog

OCTOBER 23, 2024

By processing data closer to where it resides, SnapLogic promotes faster, more efficient operations that meet stringent regulatory requirements, ultimately delivering a superior experience for businesses relying on their data integration and management solutions. He currently is working on Generative AI for data integration.

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Flipboard

NOVEMBER 24, 2023

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps. Sandeep holds an MSc.

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Pickl AI

OCTOBER 22, 2024

Summary: Relational database organize data into structured tables, enabling efficient retrieval and manipulation. They ensure data integrity and reduce redundancy through defined relationships. Key Takeaways Relational databases use structured tables to organize data efficiently.

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Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data. Predictive analytics can make use of both structured and unstructured data insights.

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Pickl AI

OCTOBER 9, 2023

Understanding Machine Learning Algorithms Machine Learning , a subset of Artificial Intelligence , has become increasingly relevant in retail demand forecasting due to its ability to analyze and interpret vast amounts of data to make accurate predictions. Retailers must ensure data is clean, consistent, and free from anomalies.

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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.

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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.

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Pickl AI

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. Introduction RDBMS is the foundation for structured data management. Introduction RDBMS is the foundation for structured data management.

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Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

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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.

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Flipboard

JUNE 26, 2023

Create the FindMatches ML transform On the AWS Glue console, expand Data Integration and ETL in the navigation pane. Under Data classification tools, choose Record Matching. For more data and analytics blog posts, check out AWS Blogs. This will open the ML transforms page. Choose Create transform.

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TransOrg Analytics

AUGUST 9, 2024

Data Quality: Without proper governance, data quality can become an issue. 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.

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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. Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries.

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Heartbeat

OCTOBER 25, 2023

This integration requires sophisticated computational methods, such as data integration algorithms and network analysis approaches, which enable extracting meaningful insights from multiple layers of biological data.

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Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently.

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ODSC - Open Data Science

JUNE 15, 2023

Meet China’s Answer to OpenAI’s ChatGPT: Tongyi Qianwen Alibaba rolled out its own ChatGPT-style LLM, Tongyi Qianwen, as the Chinese government hopes to shore up its own artificial intelligence technology. In no particular order, here are 3 reasons why data security is critical to building effective AI programs.

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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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How to Learn Machine Learning

APRIL 23, 2023

There is no room for incomplete data and dirty and noisy data if you want your machine learning project to thrive. As artificial intelligence may not always be flawless from the get-go, testing allows comparison to the accurate data. It also serves as the benchmark of your machine learning project.

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Marktechpost

JULY 23, 2023

Big data analytics are supported by scalable, object-oriented services. Each of the “buckets” used to store data has a maximum capacity of 5 terabytes. Db2 Warehouse A fully managed, scalable cloud data storage platform is IBM Db2 Warehouse. It will combine all of your data sources. Integrate.io

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