CIO

MARCH 2, 2023

The company’s recent trading update confirmed it would accelerate growth opportunities, such as its online offerings, and develop serverless computing with AWS so the retailer is able to rapidly scale when needed, like over Christmas or Black Friday.

Cloud 147

Cloud Retail AWS Fractional CTO 147

Linux Academy

APRIL 10, 2019

Thomas Kurian, CEO of Google Cloud, introduced Traffic Director, the new global traffic management service for VMs and containers as well as Cloud Run, which allows you to run any container in a serverless environment. A quick demo displayed a drag-and-drop UI for quickly migrating your data to the cloud.

Google Cloud 97

Google Cloud Big Data Cloud Data 97

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

AWS Machine Learning - AI

DECEMBER 4, 2024

Select OpenSearch Serverless as your vector store. Choose Click to upload , and upload the three files. Keep the default parsing settings. For the embeddings model, select Amazon Titan Text Embeddings V2 or any other embeddings model. After you’ve made these selections, choose Create to create your knowledge base.

Generative AI 106

Generative AI Applications Technical Review Software Review 106

CIO

DECEMBER 19, 2022

The 36,000-square-foot innovation hub will be led by the company’s CTO, Saurabh Mittal, and Markandey Upadhyay, head of business intelligence unit for Piramal. For instance, from day one, we use serverless computing and cloud-managed databases. We have cloud native and have designed everything keeping cloud in mind.

Innovation 174

Innovation Artificial Inteligence Blockchain Machine Learning 174

RapidValue

APRIL 20, 2020

Leveraging the automation and scalable features of cloud computing, DevOps teams can drive innovation, achieve agility, resilience and increased business value. The Rise of Serverless. Having mentioned about cloud-native DevOps, another trend that deserves all the hype is the implementation of serverless architecture in DevOps.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

O'Reilly Media - Ideas

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Artificial Inteligence 111

Artificial Inteligence Machine Learning Technical Review Company 111

Datavail

AUGUST 4, 2021

More and more companies are running their business intelligence and analytics workloads in the cloud. The advantages of moving analytics to AWS Cloud include: Lower IT costs: Cloud migrations save businesses the costs of on-premises hardware, software licenses, and ongoing support and maintenance.

AWS 98

AWS Technical Review Analytics Development Team Review 98

AWS Machine Learning - AI

JULY 10, 2024

Amazon Q can also help employees do more with the vast troves of data and information contained in their company’s documents, systems, and applications by answering questions, providing summaries, generating business intelligence (BI) dashboards and reports, and even generating applications that automate key tasks.

Artificial Inteligence 142

Artificial Inteligence AWS Generative AI Knowledge Base 142

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Thus, our surveys have shown that companies tend to apply machine learning and AI in areas where they have prior simpler use cases (business intelligence and analytics) that required data technologies to already be in place. Building a Serverless Big Data Application on AWS”. AI and Data technologies in the cloud.

Big Data 107

Big Data Technology Tools Cloud 107

Honeycomb

JUNE 10, 2022

In the new Magic Quadrant report, Gartner supports this in describing the key difference between observability and traditional APM: “observability-centric solutions support an exploratory, analytics-driven workflow that may bear more resemblance to business intelligence (BI) than IT operations.”

Technical Advisors 105

Technical Advisors Research Serverless Tools 105

Altexsoft

JANUARY 14, 2021

Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. The rest of maintenance duties are carried by Snowflake, which makes this solution practically serverless.

Backup 115

Backup Azure Software Review Systems Review 115

AWS Machine Learning - AI

MARCH 20, 2025

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, and quickly integrate and deploy them into your applications using AWS tools without having to manage the infrastructure.

Generative AI 92

Generative AI Artificial Inteligence Metrics AWS 92

Cloudera

SEPTEMBER 23, 2022

To the user, it is a serverless experience. Additionally, your data within the data lakehouse must be kept secure, yet at the same time easily accessible by authorized staff and business intelligence tools within your enterprise. . It can grow automatically as needed, driven by your usage and budget.

Government 109

Government Enterprise Strategy Data 109

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. One of the real strengths of Snowflake is the serverless experience it provides. Zero management.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

AWS Machine Learning - AI

SEPTEMBER 30, 2024

As an Information Technology Leader, Jay specializes in artificial intelligence, generative AI, data integration, business intelligence, and user interface domains. He helps AWS customers overcome business challenges related to AI/ML on top of AWS. Felipe Lopez is a Senior AI/ML Specialist Solutions Architect at AWS.

Artificial Inteligence 94

Artificial Inteligence Generative AI AWS Software Review 94

Agile Engine

SEPTEMBER 6, 2018

Our latest client, a business intelligence startup with exabytes of expertise in the hospitality industry, will soon be launching a new product. We work with some of the latest technologies including serverless architectures , React Native and Flutter , Go, and Scala. Or rather, it hasn’t been until now.

Hotels 49

Hotels Film Mobile Serverless 49

AWS Machine Learning - AI

MAY 30, 2024

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

AWS 129

AWS Lambda Performance Artificial Inteligence 129

AWS Machine Learning - AI

AUGUST 1, 2024

He helps AWS customers overcome business challenges related to AI/ML on top of AWS. He has more than 18 years working with technology, from software development, infrastructure, serverless, to machine learning. Felipe Lopez is a Senior AI/ML Specialist Solutions Architect at AWS.

Artificial Inteligence 126

Artificial Inteligence Generative AI AWS Artificial Intelligence 126

Perficient

MAY 21, 2024

Introducing AWS Athena: Your CloudFront Log Analysis Hero Amazon Athena is a serverless query service that allows you to analyze data stored in Amazon S3 using standard SQL. Serverless: No infrastructure to manage – Athena takes care of everything. Ready to Unleash the Power of Your Logs?

AWS 52

AWS Analytics Serverless Metrics 52

Kentik

FEBRUARY 14, 2023

Data platforms offer enterprises a range of features: Data ingestion Data storage Data transformation Data modeling Data discovery Data observability Data security Business intelligence Data platform ingestion Useful data is generated at every layer of an application. What is a data platform?

Network 52

Network Data Artificial Inteligence Analysis 52

Kaseya

NOVEMBER 9, 2023

Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more. It allows users to focus on developing and deploying applications without concerning themselves with the intricacies of the infrastructure or software updates.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

Altexsoft

MAY 20, 2020

Vetted messages are processed by the Rules Engine which routes them either to a device or cloud AWS service — like AWS Lambda (a serverless computing platform), Amazon Kinesis (a solution for processing big data in real time), Amazon S3 (a storage service), to name a few. IoT Analytics has templates to build predictive maintenance models.

IoT 141

IoT Azure AWS Transportation 141

CollabNet VersionOne

OCTOBER 4, 2018

To some degree DevOps has become more about those details (containers, serverless, SRE, observability, etc.) Each year the industry has focused on a different area of DevOps — at first empathy, next tools and delivery and now there is a lot of buzz around business value and customer satisfaction. A lot of details have been filled in.

DevOps 40

DevOps Handbook Weak Development Team Serverless 40

Altexsoft

MARCH 30, 2023

Here are four main applications of the platform across industries: data warehousing — SQL queries and business intelligence (BI) at scale; data engineering — building and maintaining data pipelines , running ETL and ELT workloads; data streaming and real-time analytics , and data science and machine learning projects.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

Cloudera

SEPTEMBER 23, 2022

To the user, it is a serverless experience. Additionally, your data within the data lakehouse must be kept secure, yet at the same time easily accessible by authorized staff and business intelligence tools within your enterprise. . It can grow automatically as needed, driven by your usage and budget.

Data 52

Data Storage Analytics Budget 52

Apiumhub

AUGUST 12, 2021

Steef-Jan is a board member of the Dutch Azure User Group, a regular speaker at conferences and user groups, and he writes for InfoQ, and Serverless Notes. His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence. In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity.

Cloud 49

Cloud AWS Open Source Data Center 49

Altexsoft

FEBRUARY 24, 2023

Framework Programming The Good and the Bad of Node.js

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

OCTOBER 21, 2022

A subscriber is a receiving program such as an end-user app or business intelligence tool. The Good and the Bad of Serverless Architecture. It links to the broker to be aware of and fetch certain updates. So, publishers and subscribers know nothing about each other. The Good and the Bad of Flutter App Development.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Abhishek Tiwari

JULY 20, 2019

Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc. With the emergence of versioned serverless functions and per-branch environments, teams have several tools on their disposal to unblock themselves.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Altexsoft

DECEMBER 14, 2022

The Good and the Bad of the SAP Business Intelligence Platform. The Good and the Bad of Serverless Architecture. The Good and the Bad of Selenium Test Automation Software. The Good and the Bad of Ranorex GUI Test Automation Tool. The Good and the Bad of Firebase Backend Services.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

SEPTEMBER 21, 2023

Framework Programming The Good and the Bad of Node.js

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

LaunchDarkly

JANUARY 17, 2019

Serverless functions let you quickly spin-up cost-efficient, short-lived infrastructure. IBM Developer is a community of developers learning how to build entire applications with AI, containers, blockchains, serverless functions and anything else you might want to learn about. But how do you get started with all of these amazing tools?

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Altexsoft

JULY 18, 2023

Framework Programming The Good and the Bad of Node.js

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

TechCrunch

APRIL 6, 2022

A data lake is a centralized repository for structured and unstructured data, while a data warehouse is a system for business intelligence activities — particularly analytics.) AWS Glue Serverless and AWS Redshift Serverless integration is available in preview as of today. Image Credits: Ascend.io.

Data 230

Data Technical Cofounder Weak Development Team Data Engineering 230

O'Reilly Media - Ideas

JANUARY 14, 2025

SQL, the common language of all database work, is up 3.2%; Power BI was up 3.0%, along with the more general (and much smaller) topic Business Intelligence (up 5.0%). All of them: web applications, cloud applications, business intelligence applications, everything. PostgreSQL is close to edging ahead of MySQL, with a 3.6%

Trends 131

Trends Technology Security Artificial Inteligence 131