Pickl AI

JANUARY 31, 2025

Summary: In this cloud computing notes we offers the numerous advantages for businesses, such as cost savings, scalability, enhanced collaboration, and improved security. Embracing cloud solutions can significantly enhance operational efficiency and drive innovation in today’s competitive landscape.

Cloud Computing 52

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 52

Pickl AI

DECEMBER 16, 2024

Summary: This blog provides a comprehensive overview of the top cloud computing interview questions and answers, covering essential topics such as service models, security risks, and architectural components. It aims to equip candidates with the knowledge needed to succeed in cloud-related job interviews.

Cloud Computing 52

Cloud Computing Artificial Intelligence Artificial Intelligence Database 52

Flipboard

JUNE 9, 2025

Learn More ⟶ Talent Assessment Conduct Customized Online Assessments on our Powerful Cloud-based Platform, Secured with Best-in-class Proctoring Learn More ⟶ Research & Advisory AIM Research produces a series of annual reports on AI & Data Science covering every aspect of the industry.

AWS 72

AWS Data Engineering Data Engineer Data Engineering 72

Dataconomy

NOVEMBER 27, 2024

Tens of thousands of cloud computing professionals and enthusiasts will gather in Las Vegas for Amazon Web Services’ (AWS) re:Invent 2024 from December 2-6. The event promises keynotes, innovation talks, workshops, and numerous service announcements, focusing heavily on generative AI. Featured image credit: CloudBlue

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IBM Journey to AI blog

NOVEMBER 6, 2023

Over the past decade, we’ve seen serverless computing take the cloud computing world by storm. Serverless is a cloud computing application development and execution model that enables developers to build and run application code without provisioning or managing servers or backend infrastructure.

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AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. This event-driven architecture provides immediate processing of new documents.

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IBM Journey to AI blog

FEBRUARY 6, 2024

It’s hard to imagine a business world without cloud computing. There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. What is cloud computing?

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Pickl AI

JULY 8, 2024

Summary: Time series databases (TSDBs) are built for efficiently storing and analyzing data that changes over time. This data captures measurements or events at specific points in time, essentially creating a digital record of how something changes over time. What is a Time Series Database?

Database 52

Database Data Pipeline Machine Learning Machine Learning 52

Data Science Dojo

JULY 3, 2024

Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

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Data Science Dojo

AUGUST 18, 2023

They are typically trained on clusters of computers or even on cloud computing platforms. LlamaIndex can be used to connect LLMs to a variety of data sources, including APIs, PDFs, documents, and SQL databases. Vector databases Vector databases are a type of database that is optimized for storing and querying vector data.

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Flipboard

APRIL 16, 2025

Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities. The function updates the asset inventory database with the new extracted data.

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IBM Journey to AI blog

DECEMBER 20, 2023

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Public cloud infrastructure is a type of cloud computing where a third-party cloud service provider (e.g.,

Cloud Computing 117

Cloud Computing Machine Learning Machine Learning Big Data Analytics 117

Flipboard

JUNE 9, 2025

At one IndiaAI event, IT minister Ashwini Vaishnaw declared, “The entire ecosystem is being built right now in AI, and the IT industry should capture this transition as an opportunity.” Notably, all are young tech ventures, with no presence from established giants like Infosys, TCS or Wipro.

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Smart Data Collective

MAY 20, 2019

The entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well. With databases, for example, choices may include NoSQL, HBase and MongoDB but its likely priorities may shift over time. Cloud Computing and Related Mechanics.

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ODSC - Open Data Science

OCTOBER 17, 2023

In this blog, we aim to provide a comprehensive guide for building your first anomaly detection models based on production data metrics such as runtime, app CPU time, and database time. Her interests lie in software testing, cloud computing, big data analytics, systems engineering, and architecture.

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Data Science Computer Science Computer Science Database 98

AWS Machine Learning Blog

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. To retrieve data from database, you can use foundation models (FMs) offered by Amazon Bedrock, converting text into SQL queries with specified constraints.

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Dataconomy

MAY 12, 2023

When more processing power is required, new nodes can be added to the distributed computing network. AI computers are redefining how we think about computing Availability In the event of a failure in any of the machines within your distributed computing system, the overall functionality of the system will not be compromised.

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Cloud Computing Clustering Database Data Analysis 87

Dataconomy

MAY 23, 2023

Edge computing has the potential to revolutionize various industries by enabling new use cases and applications that require low-latency data processing, real-time analytics, and localized decision-making. Fast and real-time analysis: With edge computing, data can be analyzed and processed rapidly, enabling fast and real-time analysis.

Cloud Computing 164

Cloud Computing Analytics Analytics Data Analysis 164

Pickl AI

FEBRUARY 10, 2025

Covering essential topics such as EC2, S3, security, and cost optimization, this guide is designed to equip candidates with the knowledge needed to excel in AWS-related interviews and advance their careers in cloud computing. What Is Serverless Computing in AWS? What is AWS and Why is it Popular?

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AWS Cloud Computing Database Big Data Analytics 52

Smart Data Collective

NOVEMBER 6, 2019

Instead, they’ll trigger alerts and prepare the relevant footage for retrieval from on-device storage when they detect an aberrant condition or event. In the Cloud. This is where centralized cloud repositories come into play. Simultaneously, cloud computing solutions provide the means to retain huge quantities of data over time.

Database 101

Database Cloud Computing Cloud Data Analytics 101

Precisely

JANUARY 25, 2024

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing. Let’s examine each of these patterns in greater detail.

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Data Governance Database Cloud Data Data Lakes 69

Smart Data Collective

SEPTEMBER 26, 2019

This is an organized set of data that can be processed, stored, and retrieved from a database in an orderly format using a simplified search engine algorithm. For example, you can organize an employee table in a database in a structured manner to capture the employee’s details, job positions, salary, etc. Structured. Unstructured.

Big Data 101

Big Data Big Data Database Analytics 101

Precisely

JANUARY 17, 2023

Cloud computing offers some advantages in terms of scalability and elasticity, yet it has also led to higher-than-ever volumes of data. If inconsistencies and inaccuracies in the customer database can be fixed, then presumably, the organization’s data analytics initiatives can proceed.

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Data Quality Machine Learning Machine Learning Data Silos 97

IBM Journey to AI blog

AUGUST 12, 2024

Also, with spending on cloud services expected to double in the next four years , both serverless and microservices instances should grow rapidly since they are widely used in cloud computing environments. Microservices applications often have their own stack that includes a database and database management model.

Cloud Computing 45

Cloud Computing Database Artificial Intelligence Artificial Intelligence 45

ODSC - Open Data Science

MAY 5, 2023

Between accessing databases, using frameworks, using applications, and more, a lot of power is needed to run even the simplest algorithms. By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware.

Data Science 52

Data Science Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

SEPTEMBER 16, 2024

zettaflops of peak AI compute power, setting a new standard in the cloud computing landscape. Advancing Generative AI with Oracle Database Oracle is also integrating NVIDIA GPUs into its Autonomous Database, allowing enterprises to accelerate data processing directly within Oracle Machine Learning notebooks.

AI 40

AI AI Data Science Database 40

AWS Machine Learning Blog

APRIL 9, 2025

Set up Data Firehose as a log destination Amazon Q Business application event logs can also be streamed to Data Firehose as a destination. After log delivery is enabled with the user_email field selected, the Amazon Q Business application sends event logs to the previously created CloudWatch log group. Leo Mentis Raj Selvaraj is a Sr.

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AWS Machine Learning Blog

JUNE 5, 2025

A customer support chat assistant, for instance, needs detailed information about the business it serves, and a legal analysis tool must draw upon a comprehensive database of past cases. Heres a step-by-step explanation: Read input files from an S3 bucket specified in the event. Chunk input data into smaller chunks.

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Pickl AI

SEPTEMBER 16, 2024

With Lambda, you can execute your code in response to various events such as HTTP requests, file uploads to S3, or changes in a DynamoDB table. Key Features of AWS Lambda Event-Driven Execution: AWS Lambda triggers your code in response to events, making it ideal for building event-driven applications.

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AWS Python Database Cloud Computing 52

AWS Machine Learning Blog

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. The SourceIdentity attribute is used to tie the identity of the original SageMaker Studio user to the Amazon Redshift database user.

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Clustering AWS ML ML 91

Dataconomy

MAY 26, 2023

These components include job scheduling, workflow orchestration, event-driven automation, monitoring and alerting, and reporting and analytics. Event-driven automation Event-driven automation allows organizations to trigger actions and tasks based on predefined events or conditions.

Analytics 79

Analytics Analytics Artificial Intelligence Artificial Intelligence 79

ODSC - Open Data Science

MAY 25, 2023

We’ll be setting up at Hyatt Regency San Francisco Airport from October 31st to November 3rd for 4 days of hands-on training sessions, workshops, talks, and networking events. Ion Stoica, PhD Professor, Director | UC Berkeley, RISELab Ion Stoica, PhD’s current research focuses on cloud computing and networked computer systems.

Data Science 52

Data Science Machine Learning Machine Learning Database 52

Alation

DECEMBER 14, 2021

It’s only been 15 years since AWS took the first steps to the cloud with S3 and EC2, which launched in 2006. With the database services launched soon after, developers had all the tools they needed to create applications without having to create the infrastructure to run them. Quick Takes: Cloud Use Cases & Stories.

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ODSC - Open Data Science

OCTOBER 9, 2023

BPCS’s deep understanding of Databricks can help organizations of all sizes get the most out of the platform, with services spanning data migration, engineering, science, ML, and cloud optimization. Neo4j Neo4j is a graph database company that provides a platform for storing and analyzing relationships between data.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

The MLOps Blog

JUNE 27, 2023

Dolt Dolt is an open-source relational database system built on Git. It combines the capabilities of a traditional database with the versioning and collaboration features of Git. The vendor offerings are divided into two classes: GPU Cloud Servers are long-running (but possibly pre-emptible) machines.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Precisely

JANUARY 2, 2024

Today IBM i systems coexist with network servers, laptops, desktop workstations, mobile devices, and cloud computing environments. Assure System Access Manager enables tight, automated control of all entry points and pathways into IBM i systems, including network protocols, communications ports, database protocols, and command lines.

Cloud Computing 59

Cloud Computing Azure Database 59

Dataconomy

MAY 2, 2023

Probability Probability theory plays a crucial role in machine learning as it enables us to predict the potential outcomes of uncertain events. These techniques can be utilized to estimate the likelihood of future events and inform the decision-making process. Cracking the code: How database encryption keeps your data safe?

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