IBM Journey to AI blog

MAY 9, 2023

These events can provide a wealth of information about what’s actually happening across your business at any moment in time. For more information, please visit the IBM Event Automation website or contact your local IBM representative or IBM Business Partner.

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Apache Kafka Business Intelligence Business Intelligence 110

IBM Journey to AI blog

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. Apache Kafka transfers data without validating the information in the messages. Kafka does not examine the metadata of your messages.

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Apache Kafka Clustering Data Quality Data Governance 116

IBM Journey to AI blog

JANUARY 8, 2024

They often use Apache Kafka as an open technology and the de facto standard for accessing events from a various core systems and applications. IBM provides an Event Streams capability build on Apache Kafka that makes events manageable across an entire enterprise.

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EDA Apache Kafka Clustering Data Governance 92

Precisely

DECEMBER 28, 2023

Many scenarios call for up-to-the-minute information. Enterprise technology is having a watershed moment; no longer do we access information once a week, or even once a day. Now, information is dynamic. That enables you to collect, analyze, and store large amounts of information. What is a streaming data pipeline?

Data Pipeline 91

Data Pipeline Apache Kafka Big Data Big Data 91

Women in Big Data

OCTOBER 9, 2024

With the explosive growth of big data over the past decade and the daily surge in data volumes, it’s essential to have a resilient system to manage the vast influx of information without failures. This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue.

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Big Data Big Data Apache Kafka Data Pipeline 59

Data Science Dojo

JULY 24, 2023

This data, often referred to as Big Data , encompasses information from various sources, including social media interactions, online transactions, sensor data, and more. The generation and accumulation of vast amounts of data have become a defining characteristic of our world.

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Big Data Big Data Data Engineering Data Engineer 195

phData

MAY 3, 2024

Leveraging real-time analytics to make informed decisions is the golden standard for virtually every business that collects data. What is Apache Kafka, and How is it Used in Building Real-time Data Pipelines? Apache Kafka is an open-source event distribution platform. Example: openssl rsa -in C:tmpnew_rsa_key_v1.p8

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IBM Journey to AI blog

NOVEMBER 29, 2023

With it, organizations can help business and IT teams acquire the ability to access, interpret and act on real-time information about unique situations arising across the entire organization. Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Apache Kafka AI 105

IBM Journey to AI blog

MARCH 14, 2024

Apache Kafka stands as a widely recognized open source event store and stream processing platform. One key advantage of opting for managed Kafka services is the delegation of responsibility for broker and operational metrics, allowing users to focus solely on metrics specific to applications.

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AWS Machine Learning Blog

MARCH 10, 2023

For more information, refer to Train fraudulent payment detection with Amazon SageMaker. The same architecture applies if you use Amazon Managed Streaming for Apache Kafka (Amazon MSK) as a data streaming service. You can also use Amazon SageMaker to train a proprietary fraud detection model.

Machine Learning 144

Machine Learning Machine Learning AWS Apache Kafka 144

AWS Machine Learning Blog

OCTOBER 9, 2024

A Slack workspace captures invaluable organizational knowledge in the form of the information that flows through it as the users communicate on it. With RAG, generative AI enhances its responses by incorporating relevant information retrieved from a curated dataset. See the Slack documentation on access tokens for more information.

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AWS Apache Kafka Data Scientist Database Administration 128

IBM Journey to AI blog

NOVEMBER 9, 2023

Apache Kafka is a high-performance, highly scalable event streaming platform. To unlock Kafka’s full potential, you need to carefully consider the design of your application. It’s all too easy to write Kafka applications that perform poorly or eventually hit a scalability brick wall.

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AWS Machine Learning Blog

APRIL 19, 2023

In a real-world scenario, features related to cardholder spending patterns would only form part of the model’s feature set, and we can include information about the merchant, the cardholder, the device used to make the payment, and any other data that may be relevant to detecting fraud. This dataset contains 5.4

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ML ML Apache Kafka SQL 98

Flipboard

NOVEMBER 21, 2023

The image contains all the necessary information to serve the inference request, such as model location, MATLAB authentication information, and algorithms. This is where you can set up the desired instance size for hosting depending on the workload. predictor = est.deploy(role, "ClassificationTreeInferenceHandler", uint8(1), "ml.m5.large")

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Machine Learning Machine Learning AWS Decision Trees 165

Pickl AI

SEPTEMBER 18, 2024

Data in Motion Technologies like Apache Kafka facilitate real-time processing of events and data, allowing Netflix to respond swiftly to user interactions and operational needs. By analysing vast amounts of viewer data, Netflix personalises content recommendations, informs content creation decisions, and improves customer engagement.

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Big Data Big Data Apache Kafka Big Data Analytics 52

Precisely

JULY 21, 2023

Used by more than 75% of the Fortune 500, Apache Kafka has emerged as a powerful open source data streaming platform to meet these challenges. But harnessing and integrating Kafka’s full potential into enterprise environments can be complex. This is where Confluent steps in.

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IBM Journey to AI blog

AUGUST 22, 2024

In recognizing the benefits of event-driven architectures, many companies have turned to Apache Kafka for their event streaming needs. Apache Kafka enables scalable, fault-tolerant and real-time processing of streams of data—but how do you manage and properly utilize the sheer amount of data your business ingests every second?

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EDA Apache Kafka Clustering 40

ODSC - Open Data Science

JUNE 7, 2023

Wednesday, June 14th Me, my health, and AI: applications in medical diagnostics and prognostics: Sara Khalid | Associate Professor, Senior Research Fellow, Biomedical Data Science and Health Informatics | University of Oxford Iterated and Exponentially Weighted Moving Principal Component Analysis : Dr. Paul A.

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Pickl AI

JULY 25, 2024

This crucial step enhances data quality, enables real-time insights, and supports informed decision-making. From extracting information from databases and spreadsheets to ingesting streaming data from IoT devices and social media platforms, It’s the foundation upon which data-driven initiatives are built.

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Precisely

SEPTEMBER 12, 2023

Precisely data integrity solutions fuel your Confluent and Apache Kafka streaming data pipelines with trusted data that has maximum accuracy, consistency, and context and we’re ready to share more with you at the upcoming Current 2023. Let’s cover some additional information to know before attending.

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Data Silos Apache Kafka Data Pipeline Data Quality 52

AWS Machine Learning Blog

JANUARY 6, 2023

Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses and professionals. An AWS Batch job is used to curate the recommendations for each customer and enrich it with the optimized pricing information. This post is co-written by Hesham Fahim from Thomson Reuters.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

m How it’s implemented In our quest to accurately determine shot speed during live matches, we’ve implemented a cutting-edge solution using Amazon Managed Streaming for Apache Kafka (Amazon MSK). Example 1 Measured with top shot speed 118.43 km/h with a distance to goal of 20.61 m Example 2 Measured with top shot speed 123.32

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AWS Apache Kafka Data Scientist Data Science 129

Pickl AI

DECEMBER 4, 2024

Data privacy regulations will shape how organisations handle sensitive information in analytics. Apache Kafka), organisations can now analyse vast amounts of data as it is generated. In retail, customer behaviour analysis informs inventory management and marketing strategies.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

OCTOBER 21, 2024

By employing a DBMS, organisations can maintain data integrity, reduce redundancy, and streamline data operations, enabling more informed decision-making. This functionality allows for seamless data manipulation and is essential for maintaining up-to-date information.

Database 52

Database Apache Kafka Machine Learning Machine Learning 52

Precisely

MARCH 16, 2023

Monitoring performance and security of these systems is critically important, but it does little good if you can only view that information a day or two after the fact. Tools like Splunk, Elastic, and Apache Kafka play a central role in IT operations analytics (ITOA).

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Apache Kafka Analytics Analytics 52

Pickl AI

JULY 24, 2023

Real-time data ingestion is the practise of gathering and analysing information as it is produced, without little to no lag between the emergence of the data and its accessibility for analysis. Traders need up-to-the-second information to make informed decisions. What is Real-Time Data Ingestion?

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Internet of Things Apache Kafka ETL Azure 52

Dataconomy

FEBRUARY 23, 2023

This involves working closely with data analysts and data scientists to ensure that data is stored, processed, and analyzed efficiently to derive insights that inform decision-making. With the rise of big data, data engineering has become critical for organizations looking to make sense of the vast amounts of information at their disposal.

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Pickl AI

NOVEMBER 4, 2024

The goal is to ensure that data is available, reliable, and accessible for analysis, ultimately driving insights and informed decision-making within organisations. Their work ensures that data flows seamlessly through the organisation, making it easier for Data Scientists and Analysts to access and analyse information.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

DECEMBER 2, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. As organisations collect vast amounts of information from various sources, ensuring data quality becomes critical.

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Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. As organisations collect vast amounts of information from various sources, ensuring data quality becomes critical.

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Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

JULY 8, 2024

It covers best practices for ensuring scalability, reliability, and performance while addressing common challenges, enabling businesses to transform raw data into valuable, actionable insights for informed decision-making. They facilitate the seamless flow of information from diverse sources to actionable insights.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

DagsHub

OCTOBER 23, 2024

One thing is clear : unstructured data doesn’t mean it lacks information. All forms of data must have some form of information, or else they won’t be considered data. Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information.

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Machine Learning Machine Learning Data Lakes AI 52

The MLOps Blog

FEBRUARY 5, 2023

Streaming data is a continuous flow of information and a foundation of event-driven architecture software model” – RedHat Enterprises around the world are becoming dependent on data more than ever. Thus, a large amount of information can be collected, analysed, and stored. What is streaming data?

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Machine Learning Machine Learning Data Pipeline Apache Kafka 72

Mlearning.ai

AUGUST 4, 2023

With this information, ChatGPT was guided through the process of producing the desired code, which will further facilitate the analysis of the dataset based on the enterprise size classification. Apache Kafka and R abbitMQ are particularly popular in LEs. If the obtained result is correct, I continue with further prompts.

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Database Apache Kafka SQL AI 52

Dataversity

JANUARY 12, 2023

Open-source technologies will become even more prominent within enterprises’ data architecture over the coming year, driven by the stark budgetary advantages combined with some of the newest enterprise-friendly capabilities added to several solutions. Here are three predictions for the open-source data infrastructure space in 2023: 1.

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Pickl AI

JULY 30, 2024

Overview In the era of Big Data , organizations inundated with vast amounts of information generated from various sources. Apache NiFi, an open-source data ingestion and distribution platform, has emerged as a powerful tool designed to automate the flow of data between systems.

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Mlearning.ai

MAY 16, 2023

The data is then transformed to fit a common data model that includes patient demographic information, clinical data, and patient satisfaction scores. The events can be published to a message broker such as Apache Kafka or Google Cloud Pub/Sub.

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