CIO

JUNE 6, 2023

If you’ve ever traveled between continents for work, you’ve certainly had to bring along your corporate laptop containing all your work materials. A European Multinational Insurance company deployed CDP both on-prem and on Azure public cloud with Cloudera Data Science Workbench (CDSW) and Cloudera Machine Learning (CML).

Azure 130

Azure Data Center Telecommunications Government 130

TechCrunch

FEBRUARY 18, 2022

Snickerdoodle Labs – Uses blockchain to build agnostic data-sharing layer that enables individuals to control and even monetize their personal data through a tokenized data architecture. Xplorit Virtual Travel – Real-world metaverse platform that offers experiential virtual travel and immersive storytelling experiences.

3D 221

3D Artificial Inteligence VR Programming 221

Perficient

NOVEMBER 28, 2023

Our cutting-edge tools, such as cameras and sensors, offer real-time tracking, supported by AI (artificial intelligence) image recognition. Hexagonal Architecture and DevSecOps: Fundamentals of our operation The state-of-the-art of our ecosystem is defined by a hexagonal architecture , domain-driven design, and event-driven architecture.

Innovation 52

Innovation Technology Artificial Inteligence Artificial Intelligence 52

AWS Machine Learning - AI

MARCH 7, 2024

The following diagram provides a simplified view of the solution architecture and highlights the key elements. The workflow consists of the following steps: A user uploads multiple images into an Amazon Simple Storage Service (Amazon S3) bucket via a Streamlit web application.

AWS 115

AWS Lambda Generative AI Report 115

Cloudera

FEBRUARY 8, 2021

The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

Data 106

Data Machine Learning Artificial Inteligence Automotive 106

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 90

Data Analytics Open Source Architecture 90

Perficient

MARCH 15, 2024

Both Snowflake and Databricks leverage cloud providers for storage. Both Snowflake and Databricks are cloud-native and both make use of the storage options for AWS, Azure and GCP. When you create an external table in Databricks , you are combining a storage path with a storage credential.

Storage 52

Storage Government Analytics Data 52

AWS Machine Learning - AI

DECEMBER 5, 2023

Solution overview The previous section described how you can use Stained Glass Transform in a variety of architectures. This container is then deployed on Amazon EKS to train an SGT that is saved to Amazon Simple Storage Service (Amazon S3). Outside work, he enjoys music, hiking, and traveling with family.

Artificial Inteligence 93

Artificial Inteligence Enterprise Generative AI Data 93

Perficient

FEBRUARY 13, 2023

Use multiple data models: Local data storage is so costly that it was not possible to store multiple copies of data, each using a different data model to meet your requirements. Each data model has its own advantages and storing intermediate step results has significant architectural advantages.

Data Engineering 69

Data Engineering Engineering Data Storage 69

Mobilunity

MAY 20, 2021

For example, everyone has cloud storage available on their smartphones or connected to their Google account. For example, they can create custom applications, help with the migration of existing data, and manage and support cloud architectures. Cloud engineering is a quickly developing industry that concerns all things cloud services.

Engineering 52

Engineering Cloud Google Cloud Azure 52

AWS Machine Learning - AI

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

Artificial Inteligence 108

Artificial Inteligence Generative AI AWS Load Balancer 108

Altexsoft

APRIL 24, 2019

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. Functionality of IBM Dynamic Pricing.

Machine Learning 73

Machine Learning Artificial Inteligence Software Review Retail 73

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. Set up data storage technology.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. Metadata storage usually implies developing a specialized repository. Metadata storage.

Tools 59

Tools Technical Review Software Review Systems Review 59

AWS Machine Learning - AI

FEBRUARY 9, 2024

API gateways can provide loose coupling between model consumers and the model endpoint service, and flexibility to adapt to changing model, architectures, and invocation methods. In this post, we show you how to build an internal SaaS layer to access foundation models with Amazon Bedrock in a multi-tenant (team) architecture.

Lambda 126

Lambda Generative AI AWS Microservices 126

AWS Machine Learning - AI

NOVEMBER 24, 2023

The platform enables you to create managed agents for complex business tasks without the need for coding, such as booking travel, processing insurance claims, creating ad campaigns, and managing inventory. Note that in this solution, all of the storage is in the UI. We’ve provided detailed instructions in the accompanying README file.

Generative AI 91

Generative AI eCommerce Lambda AWS 91

AWS Machine Learning - AI

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. It’s recommended to create a new JupyterLab Space with at least 75 GB of Amazon Elastic Block Store (Amazon EBS) storage for a 7B parameter model. or later image versions.

Artificial Inteligence 87

Artificial Inteligence AWS Data Generative AI 87

AWS Machine Learning - AI

DECEMBER 14, 2023

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio. Spaces are equipped with predefined settings for compute and storage, managed by administrators.

Generative AI 95

Generative AI Artificial Inteligence Tools Software Review 95

Cloudera

MARCH 23, 2022

Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. Let’s highlight some of those benefits, and why choosing CDP and Iceberg can future proof your next generation data architecture. . What is Apache Iceberg?

Data 88

Data Open Source Storage Machine Learning 88

Cloudera

FEBRUARY 22, 2022

The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. Beyond the initial GA release, we will expand support for other workload patterns to realize the vision we layed out earlier of multi-function analytics on this new data architecture. Multi-function analytics .

Data 105

Data Analytics Disaster Recovery Travel 105

Altexsoft

JUNE 6, 2019

Let’s travel overseas and check out how Chinese tech giants have been developing in the same field. Forecasting demand with machine learning in Walmart. What’s more, these systems don’t need to be explicitly programmed as machine learning models learn from data. JD.com’s chain of unmanned stores.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

AWS Machine Learning - AI

MARCH 15, 2024

Solution overview The following diagram illustrates our solution architecture. Create the bot in Amazon Lex v2 For this use case, we build an Amazon Lex bot that can provide an input/output interface for the architecture in order to call Amazon Bedrock using voice or text from any interface. awscli>=1.29.57 botocore>=1.31.57

Generative AI 117

Generative AI Lambda AWS Artificial Inteligence 117

AWS Machine Learning - AI

NOVEMBER 30, 2023

Machine learning techniques can help you discover such images. “ The previous post discussed how you can use Amazon machine learning (ML) services to help you find the best images to be placed along an article or TV synopsis without typing in keywords. You upload an image to an Amazon S3 bucket.

AWS 91

AWS Lambda Generative AI Applications 91

Altexsoft

APRIL 26, 2022

We’ll dive deeper into Snowflake’s pros and cons, its unique architecture, and its features to help you decide whether this data warehouse is the right choice for your company. The former extracts and transforms information before loading it into centralized storage while the latter allows for loading data prior to transformation.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

AWS Machine Learning - AI

MAY 1, 2024

Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. He is a qualified technologist with a passion for machine learning, artificial intelligence, and mergers & acquisitions.

Artificial Inteligence 84

Artificial Inteligence AWS Training Generative AI 84

Altexsoft

JUNE 1, 2020

Data lakes are repositories used to store massive amounts of data, typically for future analysis, big data processing, and machine learning. You will also learn what are the essential building blocks of a data lake architecture, and what cloud-based data lake options are available on AWS, Azure, and GCP.

Data 69

Data Cloud Azure Storage 69

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). But the current data lakehouse architectural pattern is not enough.

Data 84

Data Analytics Machine Learning Artificial Inteligence 84

Apiumhub

MARCH 16, 2021

BI is a set of processes, architectures, and technologies that convert raw data into meaningful information that drives profitable business actions. The Associative Engine now has AI and machine learning capabilities that offer context-aware insight suggestions thanks to the Qlik cognitive engine. MicroStrategy.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Altexsoft

AUGUST 25, 2020

Abbreviated, this process is called ETL, which is the foundation of pipeline infrastructure – how data travels from data sources to a data warehouse. Data lakes have much larger storage capacity. Big data engineers core functions are similar to the Data Engineer’s ones : designing the architecture of a big data platform.

Big Data 75

Big Data Data Engineering Engineering Data 75

Openxcell

JULY 10, 2023

As the world is experiencing the fourth industrial revolution ( industry 4.0), advanced modern technologies like Machine Learning (ML), Artificial Intelligence (AI), the Internet of Things (IoT), and Digital Twins (DT) are essential. The technology can be used in a variety of fields, such as architecture, urban planning, and tourism.

Examples 52

Examples Trends Artificial Inteligence Applications 52

Altexsoft

JULY 9, 2021

It is expected that before long 40 percent of edge-generated data will be stored and processed locally, without the need to travel to the centralized repository. Besides that, edge computing allows you to occupy less cloud storage space owing to the fact that you save only the data you really need and will use. What is edge computing.

IoT 59

IoT Azure Hardware USP 59

Altexsoft

AUGUST 21, 2019

The data can be used with various purposes: to do analytics or create machine learning models. Any system dealing with data processing requires moving information between storages and transforming it in the process to be then used by people or machines. But it can’t be used in its raw format. Database/Warehouse developer.

Development 44

Development Software Engineering Data Engineering Architecture 44

Mobilunity

JULY 5, 2021

It includes storage, backups, and data management. It supports open-source software and uses machine learning. It is known for security and credibility, as well as excellent machine learning and data science functions. It should be comfortable for you in terms of communication or travel. Focus on the Core.

Cloud 52

Cloud Comparison Azure AWS 52

Altexsoft

NOVEMBER 9, 2021

Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. There’s also a concept of demand sensing that also employs machine learning to analyze current fluctuations in market conditions and consumer behavior.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

Predictive analytics requires numerous statistical techniques, including data mining (detecting patterns in data) and machine learning. Organizations already use predictive analytics to optimize operations and learn how to improve the employee experience. Let’s explore several popular areas of its application.

Analytics 16

Analytics Company Off-The-Shelf How To 16

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. The most innovative unstructured data storage solutions are flexible and designed to be reliable at any scale without sacrificing performance.

Analytics 319

Analytics Artificial Inteligence Artificial Intelligence Hardware 319

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! I mean, where are all the moon or space travel to the stars themed Casinos?! However, I actually think that ApacheCon “out Vegased” Vegas!

Technical Review 36

Technical Review Technology Report Open Source 36