Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

AWS Machine Learning - AI

JUNE 26, 2024

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. Technical architecture and key steps The multi-modal agent orchestrates various steps based on natural language prompts from business users to generate insights.

Artificial Inteligence 135

Artificial Inteligence Research Knowledge Base Applications 135

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Understanding Business Strategy , August 14. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25.

Course 92

Course Training Artificial Inteligence Software Review 92

Kentik

DECEMBER 8, 2020

What if all this network observability data could be used company-wide benefiting other teams and improving business analytics? With Firehose, organizations can directly integrate network data into other analytic systems, message queues, time-series databases, or data lakes. Splunk, InfluxDB, Elasticsearch, AWS S3, etc.)

WAN 94

WAN Analytics Network Business Intelligence 94

Kentik

NOVEMBER 17, 2021

Kentik’s OTT Service Tracking (part of Kentik Service Provider Analytics) combines DNS queries with NetFlow to allow a user to understand exactly how OTT services are being delivered — an invaluable capability when trying to determine what is responsible for the latest traffic surge. OTT Service Tracking.

Film 99

Film Network Business Analytics Analysis 99

Honeycomb

APRIL 23, 2025

Some observability platforms are approaching AWS levels of pricing complexity these days. These are going to require us all to learn some slightly different skillsto think about data management in different ways; ways more like how business analytics teams are accustomed to managing their data than the way ops teams do.

Weak Development Team 110

Weak Development Team Metrics Storage Engineering 110

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. Quoting a comment from the Reddit discussion , “Their [analytics engineers] job is to marry the technical requirements of the data stack with the business objectives”. What an analytics engineer is. Pretty much ??.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

AWS Machine Learning - AI

SEPTEMBER 18, 2024

Generative AI on AWS can transform user experiences for customers while maintaining brand consistency and your desired customization. Use case overview Our fictional company, OneCompany Consulting, plans to use generative AI to automatically create personalized landing pages as their business clients sign in. Our offerings include: 1.

Generative AI 127

Generative AI Artificial Inteligence Fractional CTO Guidelines 127

AWS Machine Learning - AI

AUGUST 2, 2024

Maintain a measured, objective, and analytical tone throughout the content, avoiding overly conversational or casual language. AWS, Online Stores, etc.) The transcripts mention continued growth in third-party seller services, advertising, and AWS. Prime membership, third-party seller metrics, etc.)

Artificial Inteligence 132

Artificial Inteligence Engineering Generative AI Comparison 132

AWS Machine Learning - AI

JULY 10, 2024

You can now fine-tune Anthropic Claude 3 Haiku in Amazon Bedrock in a preview capacity in the US West (Oregon) AWS Region. Prerequisites To use this feature, make sure you have satisfied the following requirements: An active AWS account. To request access to the preview, contact your AWS account team or submit a support ticket.

Artificial Inteligence 131

Artificial Inteligence Airlines Training Generative AI 131

Altexsoft

JANUARY 14, 2021

Summarized touches upon the fact the data is used for data analytics. It is a home for an OLAP (online analytical processing) server that converts data into a form more suitable for analysis and querying. Non-volatile implies that once the data flies into a warehouse, it stays there and isn’t removed with new data enterings.

Backup 115

Backup Azure Software Review Architecture 115

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Understanding Business Strategy , August 14. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25.

Course 62

Course Training Artificial Inteligence Software Review 62

Cloudera

MARCH 22, 2021

Cloudera Data Platform (CDP) Public Cloud allows users to deploy analytic workloads into their cloud accounts. The CDP Endpoint Gateway is currently available for AWS; support for other clouds will follow shortly. . These workloads cover the entire data lifecycle and are managed from a central multi-cloud Cloudera Control Plane.

Network 98

Network Cloud Load Balancer Internet 98

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. In this introductory article, I present an overarching framework that captures the benefits of CDP for technology and business stakeholders. Technology cost reduction / avoidance.

Data 82

Data Analytics Government Technical Review 82

Altexsoft

SEPTEMBER 19, 2019

Data sources may be internal (databases, CRM, ERP, CMS, tools like Google Analytics or Excel) or external (order confirmation from suppliers, reviews from social media sites, public dataset repositories, etc.). These BI platforms include ETL and data storage services, along with analytics and reporting with visuals. Data sourcing.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Datavail

JUNE 8, 2023

From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. He highlighted how customers can benefit from a move to cloud-native databases like those offered by AWS and Azure.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

JULY 13, 2022

to CDP Public Cloud on AWS. to CDP Public Cloud on AWS. to CDP Public Cloud on AWS and Azure. to CDP Public Cloud on AWS and Azure. This step assumes that you have a valid registered AWS environment in CDP Public Cloud. using CM 6.3.0 From CDH 5.10 using CM 6.3.4 to CDP Public Cloud on Azure. From CDH 6.1

Disaster Recovery 91

Disaster Recovery Data Policies Azure 91

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

AWS Machine Learning - AI

JULY 25, 2024

The web application that the user uses to retrieve answers would be connected to an IdP or AWS IAM Identity Center. For AWS Secrets Manager secret , create a secret in AWS Secrets Manager to store your SharePoint authentication credentials: For Secret name , enter a name for your secret. This is the Azure AD self-signed X.509

Azure 117

Azure Authentication Artificial Inteligence Generative AI 117

Cloudera

DECEMBER 21, 2020

The company has previously created a business unit tenant in CDP Public Cloud. There is an environment available on either Azure or AWS, using the company AWS account – note: in this blog, all examples are in AWS. In our data adventure we assume the following: . Company data exists in the data lake.

Data 97

Data Virtualization Banking Data Engineering 97

Datavail

SEPTEMBER 17, 2019

Performing real-time or predictive business analytics with minimal latency. MongoDB Atlas can be run on Amazon Web Services (AWS), Azure, or Google Cloud Platform. It combines the power and storage capabilities of MongoDB with the flexibility to choose your own cloud provider from AWS, Azure, or GCP.

Cloud 40

Cloud Azure Big Data Storage 40

Codegiant

NOVEMBER 9, 2020

No analytics on the end-to-end deployment cycle. Mixpanel Mixpanel is an analytic and user-behavior-centric platform for both web and mobile users. It offers analytics on user interaction online products. Pros Robust event-based analytics. Cons Limited reports and analytics. Cons It can be difficult to configure.

Software Review 64

Software Review Weak Development Team Tools Development 64

Mobilunity

NOVEMBER 17, 2021

Microsoft’s Azure PaaS includes operating systems, development tools, database management, and business analytics. >>> Amazon Web Services (AWS). The AWS cloud infrastructure architecture is stored directly in the cloud, and any users can immediately access it. Does your business need an AWS coder?

Software Review 52

Software Review How To Systems Review Operating System 52

Codegiant

NOVEMBER 9, 2020

No analytics on the end-to-end deployment cycle. ” Mixpanel Mixpanel is an analytic and user-behavior-centric platform for both web and mobile users. It offers analytics on user interaction online products. Pros Robust event-based analytics. Cons Limited reports and analytics. Not cloud-based.

Software Review 52

Software Review Weak Development Team Tools Development 52

LaunchDarkly

JANUARY 17, 2019

Whereas if AWS comes out with AWS Feature Flagging, it’s not existential and it might take a little more work to convince the customers. AWS for a little bit had something a little bit similar and then they actually pulled it. JM: Logi Analytics is an embedded business intelligence tool. EH: We use AWS.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

TechCrunch

APRIL 6, 2022

There’s no denying that the pandemic bolstered the adoption of AI and analytics technologies. The rapid changes brought on by the health crises forced businesses to adapt practically overnight, accelerating the rollout of new products. Of course, the benefits haven’t been evenly distributed.

Data 230

Data Technical Cofounder Weak Development Team Data Engineering 230

O'Reilly Media - Ideas

JANUARY 14, 2025

Once data has been stored in a data lake, it can be used for traditional business analytics, stored in a vector or graph database for RAG, or put to almost any other use. Its relatively easy to come up with specific questions about either of theseor, for that matter, about SQL, AWS, or React.

Trends 131

Trends Technology Security Artificial Inteligence 131

O'Reilly Media - Ideas

MARCH 1, 2023

The first quantum computers are now available through cloud providers like IBM and Amazon Web Services (AWS). Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. Amazon Web Services (AWS) still leads, followed by Microsoft Azure, then Google Cloud.

Trends 144

Trends Technical Review Technology Software Review 144

O'Reilly Media - Ideas

JANUARY 4, 2022

AWS SageMaker Canvas claims to allow businesspeople to develop Machine Learning applications to solve business problems with no programming experience. Unifying observability, business analytics , and data infrastructure is a big opportunity for developers, operations, and business users.

Trends 114

Trends Artificial Inteligence Open Source Machine Learning 114

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. The term “ML” is No. The term “AI,” meanwhile, is No.

Conference 9

Conference Data Data Engineering Big Data 9

Altexsoft

DECEMBER 16, 2021

This robust tool is typically used to perform data governance for AI applications, business analytics, or powerful knowledge bases, all supported by a self-service data pipeline. HealthShare is InterSystems’ EMPI solution that can be deployed on cloud, on premise, and on their AWS data platform.

Enterprise 59

Enterprise How To Technical Review Systems Review 59

AWS Machine Learning - AI

APRIL 2, 2025

Overview of solution The goal of the solution is to accurately answer analytical questions that require multi-step reasoning and execution. Summary This post explores the application of LLMs in executing complex analytical queries through an API, with specific focus on Amazon Bedrock. Data Science Manager at AWS Professional Services.

Artificial Inteligence 108

Artificial Inteligence Machine Learning Analytics AWS 108

AWS Machine Learning - AI

DECEMBER 4, 2024

Prerequisites To use the model distillation feature, make sure that you have satisfied the following requirements: An active AWS account. Confirm the AWS Regions where the model is available and quotas. Sovik Kumar Nath is an AI/ML and Generative AI Senior Solutions Architect with AWS.

Generative AI 117

Generative AI Artificial Inteligence AWS Training 117

Xebia

JANUARY 24, 2025

Databricks is a powerful Data + AI platform that enables companies to efficiently build data pipelines, perform large-scale analytics, and deploy machine learning models. Organizations turn to Databricks for its ability to unify data engineering, data science, and business analytics, simplifying collaboration and driving innovation.

Storage 130

Storage Travel Azure Cloud 130