Machine Learning, Storage and Travel

Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise

Data Collection for Machine Learning: Steps, Methods, and Best Practices

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

Machine Learning Artificial Inteligence Data Systems Review

The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. Modern compute infrastructures are designed to enhance business agility and time to market by supporting workloads for databases and analytics, AI and machine learning (ML), high performance computing (HPC) and more.

Analytics

Analytics Artificial Inteligence Artificial Intelligence Hardware

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

MORE WEBINARS

Amazon Personalize launches new recipes supporting larger item catalogs with lower latency

AWS Machine Learning - AI

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Import the interactions data to Amazon Personalize from Amazon Simple Storage Service (Amazon S3).

Artificial Inteligence

Artificial Inteligence Machine Learning AWS Software Engineering

Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

MARCH 28, 2024

It provides a collection of pre-trained models that you can deploy quickly and with ease, accelerating the development and deployment of machine learning (ML) applications. Another challenge with RAG is that with retrieval, you aren’t aware of the specific queries that your document storage system will deal with upon ingestion.

Artificial Inteligence

Artificial Inteligence Generative AI AWS Load Balancer

Insurance Technologies: 13 Disruptive Ideas to Change Insurance Companies with Telematics, Blockchain, Machine Learning, and APIs

Altexsoft

SEPTEMBER 27, 2020

Internal Workflow Automation with RPA and Machine Learning. Depending on the work the machine learning algorithms are going to do and regulations, it may require an explanation layer over the core ML system. Machine learning in Insurance: Automation of Claim Processing. But AI remains a heavy investment.

Insurance

Insurance Machine Learning Artificial Inteligence Blockchain

Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Altexsoft

NOVEMBER 17, 2021

As today’s digital storages can serve large amounts of items, it becomes difficult to categorize them manually. So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context.

Artificial Inteligence

Artificial Inteligence Machine Learning Systems Review Technical Review

How mobile apps and cloud accelerating Industry 4.0 transformation.

OTS Solutions

OCTOBER 10, 2023

is the fourth industrial revolution that is driven by the convergence of various technologies such as the Internet of Things (IoT), artificial intelligence (AI), machine learning , big data analytics, robotics, and others. Travel and Hospitality Industry 4.0, Key features of Industry 4.0 Industry 4.0 Overall, industry 4.0

Artificial Inteligence

Artificial Inteligence Mobile Industry Cloud

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning - AI

FEBRUARY 9, 2024

The Lambda function gets the usage information from CloudWatch for the previous day, calculates the associated costs, and stores the data aggregated by team_id and model_id in Amazon Simple Storage Service (Amazon S3) in CSV format. In the pool approach, a centralized AWS environment hosts the API, storage, and compute resources.

Lambda

Lambda Generative AI AWS Microservices

Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

FEBRUARY 26, 2024

Amazon Bedrock saves the request and completion (response) in Amazon Simple Storage Service (Amazon S3) as the per configuration of invocation logging. Finally, we recommend referring to Evaluate large language models for quality and responsibility to learn more about evaluating LLMs. The function invokes the modules.

Artificial Inteligence

Artificial Inteligence AWS Lambda Metrics

10 Ways Machine Learning and AI Revolutionizes Medicine and Pharma

Altexsoft

FEBRUARY 1, 2019

According to McKinsey , machine learning and artificial intelligence in pharma and medicine are going to revolutionize the industries to help them make better decisions, optimize innovations, improve the efficiency of clinical and research trials, and provide for new tools for physicians, consumers, regulators, and even insurers.

Artificial Inteligence

Artificial Inteligence Machine Learning Pharmaceuticals Artificial Intelligence

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. To learn more about the capabilities of Amazon Bedrock and knowledge bases, refer to Knowledge base for Amazon Bedrock.

Knowledge Base

Knowledge Base Artificial Inteligence Generative AI AWS

AltexSoft Team Members Attain Notable AWS and Azure Certifications

Altexsoft

SEPTEMBER 28, 2023

AWS offers over 200 fully featured computing, storage, database, network, and analytics services. About AltexSoft AltexSoft is a technology consulting company specializing in travel tech and data services. Among AWS solutions is a wide range of mobile and hybrid application development, management, and deployment products.

Azure

Azure AWS Artificial Inteligence Artificial Intelligence

Automating product description generation with Amazon Bedrock

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. This could be any database of your choice.

Generative AI

Generative AI eCommerce Lambda AWS

AltexSoft Becomes AWS Select Tier and Service Delivery Partner

Altexsoft

APRIL 27, 2023

Atlanta, GA — April 27, 2023 — AltexSoft, a Travel & Hospitality Technology Consulting company, received AWS Select Tier Partnership as a service delivery firm. AWS offers over 200 fully featured services for computing, storage, database, network, and analytics.

AWS

AWS Travel Lambda Software Engineering

Here are all 20 companies from Alchemist Accelerator’s latest Demo Day

TechCrunch

JANUARY 25, 2022

Grandeur Technologies: Pitching itself as “Firebase for IoT,” they’re building a suite of tools that lets developers focus more on the hardware and less on things like data storage or user authentication. for groups like your neighborhood, school clubs and volunteer orgs.

Company

Company Software Review Systems Review Technical Review

Unlock the potential of generative AI in industrial operations

AWS Machine Learning - AI

MARCH 19, 2024

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations and boosts productivity. Input a query related to your broken industrial asset, such as, “My actuator travels slow, what might be the issue?”

Generative AI

Generative AI Industry Artificial Inteligence Knowledge Base

Adapting to change on a dime: The absolute necessity of hybrid portability

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

Azure Data Center Telecommunications Government

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

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

Generative AI Artificial Inteligence Tools Software Review

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence

Artificial Inteligence Generative AI Security Applications

Australian businesses need new servers to drive sustainability and innovation

CIO

FEBRUARY 27, 2023

This number is concerning given emerging digital technologies such as blockchain, IoT, artificial intelligence, and machine learning are increasing demand for data centre services further, as workloads are no longer confined to the core data centre and can run anywhere, including the edge.

Sustainability

Sustainability Innovation Artificial Inteligence Energy

Accelerate Analytics for All

Cloudera

AUGUST 17, 2022

CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in. The company is one of the largest travel management businesses in the world, but has a small technology team.

Analytics

Analytics Machine Learning Artificial Inteligence Policies

5 Reasons to Use Apache Iceberg on Cloudera Data Platform (CDP)

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. Users can move their workloads without being tied to the underlying storage. What is Apache Iceberg? 1: Multi-function analytics . 3: Open Performance.

Data

Data Open Source Storage Machine Learning

A World Without Advertising Cookies- Disruption to Personalization Part 2

Perficient

AUGUST 14, 2023

By harnessing tools like machine learning, different in-session algorithms can be built tailoring real time experiences for individual customers. Consider scenarios where credit cards companies can collaborate with entities in the electronics, travel, and retail sectors. It is more accurate and more actionable.

Advertising

Advertising Machine Learning Artificial Inteligence Analytics

LG announces the first 50 participants in its LG Nova program

TechCrunch

FEBRUARY 18, 2022

Xplorit Virtual Travel – Real-world metaverse platform that offers experiential virtual travel and immersive storytelling experiences. MET3R – Unique smart charging and energy storage services to bridge the gap between electric mobility and the smart grid to support the decarbonization of the energy sector.

3D

3D Artificial Inteligence VR Programming

Data – the Octane Accelerating Intelligent Connected Vehicles

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

Data Machine Learning Artificial Inteligence Automotive

Using Snowflake and Databricks Together

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

Storage Government Analytics Data

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This structure is made efficient by data engineering practices that include object storage. Many organizations also deploy data marts , which are dedicated storage repositories for specific business lines or workgroups.

Architecture

Architecture Data Storage Machine Learning

Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

AWS Machine Learning - AI

MAY 1, 2024

Using the Neuron Distributed library with SageMaker SageMaker is a fully managed service that provides developers, data scientists, and practitioners the ability to build, train, and deploy machine learning (ML) models at scale. When he’s not at work, he enjoys spending time with his wife and family, hiking, and traveling the world.

Artificial Inteligence

Artificial Inteligence AWS Training Generative AI

Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

FEBRUARY 22, 2022

By optimizing the various CDP Data Services, including CDW, CDE, and Cloudera Machine Learning (CML) with Iceberg, Cloudera customers can define and manipulate datasets with SQL commands, build complex data pipelines using features like Time Travel operations, and deploy machine learning models built from Iceberg tables.

Data

Data Analytics Disaster Recovery Travel

Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

MAY 30, 2024

These documents are uploaded and stored in Amazon Simple Storage Service (Amazon S3), making it the centralized data store. Processing framework LangChain offered seamless machine learning (ML) model integration, allowing Vitech to build custom automated AI components and be model agnostic.

Artificial Inteligence

Artificial Inteligence Technical Review Development Team Review Software Review

Easily build semantic image search using Amazon Titan

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.

AWS

AWS Lambda Generative AI Applications

The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. The relatively new storage architecture powering Databricks is called a data lakehouse. Let’s see what exactly Databricks has to offer.

Weak Development Team

Weak Development Team Machine Learning Artificial Inteligence Software Review

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

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

Artificial Inteligence AWS Data Generative AI

The Good and the Bad of Snowflake Data Warehouse

Altexsoft

APRIL 26, 2022

The former extracts and transforms information before loading it into centralized storage while the latter allows for loading data prior to transformation. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis. Each node has its own disk storage. Database storage layer.

Weak Development Team

Weak Development Team Data Storage Technical Review

Snowflake Best Practices for Data Engineering

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. If you don’t have a need for machine learning yet, you’ll almost certainly need it in the next few years, if not now.

Data Engineering

Data Engineering Engineering Data Storage

Foundational data protection for enterprise LLM acceleration with Protopia AI

AWS Machine Learning - AI

DECEMBER 5, 2023

For example, you can use the Stained Glass SDK in self-managed machine learning (ML) environments with Amazon Elastic Kubernetes Service (Amazon EKS) for training and inferencing or within Amazon Elastic Compute Cloud (Amazon EC2) directly. Outside work, he enjoys music, hiking, and traveling with family.

Artificial Inteligence

Artificial Inteligence Enterprise Generative AI Data

How to build analytic products in an age when data privacy has become critical

O'Reilly Media - Data

MAY 3, 2018

As someone who travels to China, I can attest that users there are just as concerned about how companies are using their data. Machine learning. For machine learning, let me focus on recent work involving deep learning (currently the hottest ML method). Closing thoughts.

Analytics

Analytics Artificial Inteligence Data Machine Learning

Radar trends to watch: October 2020

O'Reilly Media - Ideas

OCTOBER 1, 2020

Diffbot represents an older approach to machine learning that, in practice, might work better than language models like GPT-3. Visual reasoning with machine learning enables AI systems to reason about what people are doing and how they are doing it. Is this really a good idea?)

Trends

Trends Software Review Technical Review VR

Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform

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 ). There’s zero effort required by companies to get the benefits of Iceberg as part of CDP.

Data

Data Analytics Machine Learning Artificial Inteligence

What is PNR: Passenger Name Record Explained in Details

Altexsoft

JANUARY 19, 2021

It happens every time travelers book a flight. Introduced to facilitate the exchange of booking information between airlines, PNRs have become an important component of the travel industry. Introduced to facilitate the exchange of booking information between airlines, PNRs have become an important component of the travel industry.

Airlines

Airlines Travel Software Review Systems Review

Optimizing the Energy Sector with Data Analytics

Cloudera

DECEMBER 20, 2022

For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs. These efficiencies are achieved through remote inspection solutions, avoiding staff travel, and cutting resolution times.

Energy

Energy Analytics Data Machine Learning

The Future of the Data Lakehouse – Open

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. Today, the Hive metastore is used from multiple engines and with multiple storage options. Cloudera customers run some of the biggest data lakes on earth.

Data

Data Analytics Open Source Architecture

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

Altexsoft

MARCH 14, 2023

Let’s say a travel company wants to improve its customer experience by offering personalized travel recommendations. Having gained insights from the data, the travel company can offer personalized recommendations, improve customer satisfaction, and ultimately drive business growth.

Data

Data Technical Review Software Review Artificial Inteligence

Artificial intelligence and machine learning adoption in European enterprise

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Webinars

Trending Sources

The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

Webinars

Amazon Personalize launches new recipes supporting larger item catalogs with lower latency

Advanced RAG patterns on Amazon SageMaker

Insurance Technologies: 13 Disruptive Ideas to Change Insurance Companies with Telematics, Blockchain, Machine Learning, and APIs

Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

How mobile apps and cloud accelerating Industry 4.0 transformation.

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

Techniques and approaches for monitoring large language models on AWS

10 Ways Machine Learning and AI Revolutionizes Medicine and Pharma

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AltexSoft Team Members Attain Notable AWS and Azure Certifications

Automating product description generation with Amazon Bedrock

AltexSoft Becomes AWS Select Tier and Service Delivery Partner

Here are all 20 companies from Alchemist Accelerator’s latest Demo Day

Unlock the potential of generative AI in industrial operations

Adapting to change on a dime: The absolute necessity of hybrid portability

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Australian businesses need new servers to drive sustainability and innovation

Accelerate Analytics for All

5 Reasons to Use Apache Iceberg on Cloudera Data Platform (CDP)

A World Without Advertising Cookies- Disruption to Personalization Part 2

LG announces the first 50 participants in its LG Nova program

Data – the Octane Accelerating Intelligent Connected Vehicles

Using Snowflake and Databricks Together

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

Introducing Apache Iceberg in Cloudera Data Platform

Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

Easily build semantic image search using Amazon Titan

The Good and the Bad of Databricks Lakehouse Platform

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

The Good and the Bad of Snowflake Data Warehouse

Snowflake Best Practices for Data Engineering

Foundational data protection for enterprise LLM acceleration with Protopia AI

How to build analytic products in an age when data privacy has become critical

Radar trends to watch: October 2020

Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform

What is PNR: Passenger Name Record Explained in Details

Optimizing the Energy Sector with Data Analytics

The Future of the Data Lakehouse – Open

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

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