AWS Machine Learning Blog

APRIL 11, 2023

RStudio on Amazon SageMaker removes the need for you to manage the underlying Posit Workbench infrastructure, so your teams can concentrate on producing value for your business. You can now acquire your new Posit Workbench license or request a trial directly from AWS Marketplace and set up your environment using the AWS Management Console.

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AWS Machine Learning Blog

DECEMBER 18, 2023

As industries evolve in today’s fast-paced business landscape, the inability to have real-time forecasts poses significant challenges for industries heavily reliant on accurate and timely insights. With efficient querying, aggregation, and analytics, businesses can extract valuable insights from time-stamped data.

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phData

FEBRUARY 2, 2024

The Data Source (DS) tool is one of the cornerstones of the Toolkit, enabling users to collect, compare, analyze, and act on data source metadata and profile metrics. It’s a lightweight Command Line Interface (CLI) that takes a low code approach to profiling data sources to allow anyone to access the power of the tool.

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AWS Machine Learning Blog

JUNE 19, 2023

Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

These include a fully managed AI development environment with an integrated development environment (IDE), simplifying the end-to-end ML workflow. These include developing a scalable and operationally efficient platform that adheres to organizational compliance and security standards.

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AWS Machine Learning Blog

SEPTEMBER 11, 2023

Amazon SageMaker Domain supports SageMaker machine learning (ML) environments, including SageMaker Studio and SageMaker Canvas. A SageMaker Domain in VPC only mode with a user profile. By launching SageMaker Domain in your VPC, you can control the data flow from your SageMaker Studio and Canvas environments.

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IBM Journey to AI blog

JULY 13, 2023

Data quality and integrity are vital to a data-driven organization that employs analytics for business decisions, offers self-service data access for internal stakeholders and provides data offerings to customers. The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become.

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DataRobot

JANUARY 18, 2022

When removed from our usual work environment to participate in an AI project, there is the risk that strategic business goals and everyday business rules will be forgotten. But when there is material risk, it helps to list, then consciously investigate these risks. Don’t worry, this isn’t a sign of mental deficiency.

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AWS Machine Learning Blog

MAY 3, 2023

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for ML. The first use case involves a customer business unit and project wanting a functionality to replicate data scientists’ artifacts and data files to any target domains and profiles at will.

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Iguazio

FEBRUARY 20, 2024

This blog post will discuss: The potential impact of generative AI for financial services The challenges of deploying LLMs in production Which engineering and risk-related considerations financial services companies need to take to successfully implement gen AI in their business environments. See the entire list in the webinar.

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Dataconomy

JUNE 12, 2023

An AI headshot generator saves you the cost of hiring a professional photographer These AI-generated headshots are ideal for a range of applications, such as creating digital CVs, designing logos, or updating corporate profile pictures, among others. ⇒ What is an AI headshot generator? How do AI headshot generators work?

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AWS Machine Learning Blog

NOVEMBER 27, 2023

In Part 1 and Part 2 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. Einstein Studio is a gateway to AI tools on Salesforce Data Cloud.

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AWS Machine Learning Blog

OCTOBER 23, 2023

The company combines paid job listings from their clients with public job listings into a single searchable platform. With over 30 million jobs listed in more than 75 countries, Talent.com serves jobs across many languages, industries, and distribution channels. The recommendation system has driven an 8.6%

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AWS Machine Learning Blog

APRIL 3, 2024

The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results.

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AWS Machine Learning Blog

MAY 10, 2024

Amazon SageMaker Canvas and Amazon SageMaker JumpStart democratize this process, offering no-code solutions and pre-trained models that enable businesses to fine-tune LLMs without deep technical expertise, helping organizations move faster with fewer technical resources. On the domain details page, view the user profiles.

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phData

FEBRUARY 5, 2024

Having done dozens of migrations to Snowflake for our clients, we at phData are experts in the nuances of getting a business onto Snowflake. The tool converts the templated configuration into a set of SQL commands that are executed against the target Snowflake environment. In this blog, we’re going to answer these questions and more.

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AWS Machine Learning Blog

FEBRUARY 9, 2024

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). IT teams are responsible for helping the LOB innovate with speed and agility while providing centralized governance and observability.

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Applied Data Science

OCTOBER 25, 2021

For this reason, this post does not feature a foolproof list of the (insert arbitrary number) steps that will make you a successful data scientist. Being able to foresee the feasibility of your plans and tuning your models intelligently rather than randomly e can save you, your employer and the environment, valuable resources.

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IBM Journey to AI blog

DECEMBER 14, 2023

IBM introduced watsonx as the AI and data platform built for business. As it has become tradition , the team creating the looks back and shares the personal highlights of the year 2023. Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs).

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IBM Journey to AI blog

SEPTEMBER 6, 2023

As security becomes ever tighter, with businesses provisioning more of their infrastructure on private networks, flexible access requires a VPN solution. Select Private certificates from the drop-down list. Select the algorithm from the drop-down list. The next wizard screen is Certificate revocation list. Click Create.

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Dataconomy

APRIL 25, 2023

Below you can explore them, and if you want to find the best AI list for more general topics, like AI tools for writing, image generation, and more, keep reading because you are about to meet them in the next part too! In order to introduce as many AI tools as possible, we suggested each one just once in our lists.

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AWS Machine Learning Blog

JULY 25, 2023

With recent advancements in generative AI , there are lot of discussions happening on how to use generative AI across different industries to solve specific business problems. While organizations are looking to use the power of these FMs, they also want the FM-based solutions to be running in their own protected environments.

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ODSC - Open Data Science

MARCH 7, 2024

In other words, if I set up all the same pre-conditions in my production environment and execute the same steps, I expect that the same post-conditions will occur. In other words, if I set up all the same pre-conditions in my production environment and execute the same steps, I expect that the same post-conditions will occur.

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IBM Journey to AI blog

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. What does a modern data architecture do for your business? What does a modern data architecture do for your business?

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AWS Machine Learning Blog

MAY 10, 2023

Examples of such use cases include scaling up a feature engineering job that was previously tested on a small sample dataset on a small notebook instance, running nightly reports to gain insights into business metrics, and retraining ML models on a schedule as new data becomes available. or higher).

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AWS Machine Learning Blog

FEBRUARY 14, 2024

In this post, we discuss how to use the comprehensive capabilities of Amazon Bedrock to perform complex business tasks and improve the customer experience by providing personalization using the data stored in a database like Amazon Redshift.

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IBM Journey to AI blog

DECEMBER 18, 2023

Additionally, IBM Cloud Satellite is designed to help clients meet their data residency requirements with the ability to run cloud services and applications across environments and wherever data is located: on-premises, in the cloud, or at the edge.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

An established financial services firm with over 140 years in business, Principal is a global investment management leader and serves more than 62 million customers around the world. Each year, Principal handles millions of calls and digital interactions. Integrity is non-negotiable at Principal—it guides everything they do.

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Dataconomy

DECEMBER 29, 2023

Having an AI influencer offers a range of strategic advantages for brands and businesses in the modern digital landscape. Having an AI influencer offers a range of strategic advantages for brands and businesses in the modern digital landscape. Sounds good? Let’s dig deeper! What is an AI influencer? Why to have an AI influencer?

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AWS Machine Learning Blog

APRIL 11, 2023

With the integrated development environment (IDE) of Amazon SageMaker Studio with Jupyter Lab 3 , we can build, run, and serve Streamlit web apps from within that same environment for development purposes. The Jupyter Server associated with the user profile runs inside the Studio Amazon Elastic Compute Cloud (Amazon EC2) instance.

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AWS Machine Learning Blog

FEBRUARY 14, 2024

Failed intents like these frustrate customers who have to repeat themselves, get routed incorrectly, or are escalated to live agents—costing businesses more. For example, “I want to track my order” may be misrecognized as “I want to truck my holder.” The following diagram illustrates the solution architecture and workflow.

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AWS Machine Learning Blog

APRIL 11, 2023

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner.

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AWS Machine Learning Blog

MAY 31, 2023

If you are a data scientist currently passing infrastructure parameters to resources in your notebook, you can skip the next step of setting up your environment and start creating the configuration file. For the default locations for other environments, refer to Configuration file locations.

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AWS Machine Learning Blog

MAY 7, 2024

We discuss the following use cases: Sensitive information detection and redaction Entity extraction; generic and specific entities with structured formats Classification, using prompt engineering and fine-tuning Before we explore these use cases, we need to set up our development environment.

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AWS Machine Learning Blog

AUGUST 21, 2023

The EMR runtime role’s trust policy should allow the EMR EC2 instance profile to assume the role. The EMR EC2 instance profile role should be able to assume the EMR runtime roles. Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes.

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phData

JANUARY 19, 2024

As a result, Matillion is an excellent choice for businesses wishing to optimize their data operations in a scalable and user-friendly environment. Make Sure no Connectors are Already There Go to Matillion Hub and sign in to your account to see the full list of connectors.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

This new capability promotes collaboration and minimizes duplicate work for teams involved in ML model and application development, particularly in enterprise environments with multiple accounts spanning different business units or functions. For a deep dive, refer to Cross account feature group discoverability and access.

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