ShepHyken

SEPTEMBER 15, 2017

Brands are looking to AI to ramp up their marketing activities , taking what was once viewed as a science fiction fantasy and integrating it as a useful tool. Artificial intelligence marketing (AIM) is an innovative way for marketers to bridge the gap between data science and execution. Better Ad Optimization.

Marketing 483

Marketing Advertising Big data Personalization 483

AWS Machine Learning

JUNE 16, 2023

At SambaSafety , their mission is to promote safer communities by reducing risk through data insights. SambaSafety serves more than 15,000 global employers and insurance carriers with driver risk and compliance monitoring, online training and deep risk analytics, as well as risk pricing solutions.

Scripts 76

Scripts Engineering Accountability Consulting 76

AWS Machine Learning

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. This platform provides capabilities ranging from experimentation, data annotation, training, model deployments, and reusable templates.

Healthcare 87

Healthcare Government Engineering APIs 87

AWS Machine Learning

APRIL 19, 2024

Amazon Personalize is excited to announce automatic training for solutions. Solution training is fundamental to maintain the effectiveness of a model and make sure recommendations align with users’ evolving behaviors and preferences. All your data is encrypted to be private and secure. Optionally, add any tags.

Personalization 94

Personalization Engineering Management Marketing 94

AWS Machine Learning

DECEMBER 7, 2023

This solution also led to an 90% improvement in prediction accuracy across Turkey and several European countries. Solution overview The End-to-end Workforce Management Project (E2E Project) is a large-scale project and it can be described in three topics: 1. It is particularly effective for capturing trends and seasonality in data.

Management 98

Management Engineering Analytics Construction 98

AWS Machine Learning

NOVEMBER 22, 2023

To build an enterprise solution, developer resources, cost, time and user-experience have to be balanced to achieve the desired business outcome. We dive deep into designing and implementing the solution to optimize for throughput, latency, and overall performance. This means the system lacks visibility into logs and failures.

APIs 92

APIs Metrics Enterprise Benchmark 92

AWS Machine Learning

FEBRUARY 6, 2024

Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. In this post, we show how to develop an ML-driven solution using Amazon SageMaker for detecting adverse events using the publicly available Adverse Drug Reaction Dataset on Hugging Face.

Healthcare 96

Healthcare Engineering Construction Consulting 96

AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. In this post, we discuss how the AWS AI/ML team collaborated with the Merck Human Health IT MLOps team to build a solution that uses an automated workflow for ML model approval and promotion with human intervention in the middle. ML Engineer at Tiger Analytics.

APIs 97

APIs Construction Engineering Analytics 97

AWS Machine Learning

AUGUST 28, 2023

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. Participants, both high school and undergraduate students, competed on a data science project that focused on air quality and sustainability.

Engineering 69

Engineering Education Accountability Technology 69

AWS Machine Learning

FEBRUARY 22, 2023

This post is co-written with Swagata Ashwani, Senior Data Scientist at Boomi. In this post, we discuss how Boomi used the bring-your-own-container (BYOC) approach to develop a new AI/ML enabled solution for their customers to tackle the “blank canvas” problem. These tools integrate via API into Boomi’s core service offering.

Engineering 70

Engineering Accountability APIs Government 70

AWS Machine Learning

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. RAG is a popular technique that combines the use of private data with large language models (LLMs). Choose Next.

APIs 111

APIs Healthcare Scripts Enterprise 111

AWS Machine Learning

APRIL 9, 2024

With Knowledge Bases for Amazon Bedrock , you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without retraining the FMs. Choose Test knowledge base.

APIs 112

APIs Engineering Healthcare Education 112

AWS Machine Learning

MAY 25, 2023

This post was co-authored by Brian Curry (Founder and Head of Products at OCX Cognition) and Sandhya MN (Data Science Lead at InfoGain) OCX Cognition is a San Francisco Bay Area-based startup, offering a commercial B2B software as a service (SaaS) product called Spectrum AI.

Analytics 65

Analytics Engineering Accountability Enterprise 65

AWS Machine Learning

DECEMBER 1, 2023

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. He focuses on helping customers build and optimize their AI/ML solutions on Amazon SageMaker.

Engineering 95

Engineering Metrics Management 95

AWS Machine Learning

SEPTEMBER 22, 2023

To improve the base model’s instruction-following ability, human data annotators are tasked with authoring responses to various prompts. The collected responses (often referred to as demonstration data) are used in a process called supervised fine-tuning (SFT). This occurs because the model is trained to predict the next token.

Engineering 95

Engineering Feedback industry standards Benchmark 95

AWS Machine Learning

SEPTEMBER 19, 2023

However, as the simulation data grew, the runtime nearly quadrupled, along with the size of the problem. cuDF is used for loading, joining, aggregating, filtering, and otherwise manipulating data, in a pandas -like API that accelerates the work on dataframes, using CUDA for significantly faster performance than pandas.

APIs 116

APIs Accountability Engineering Technology 116

AWS Machine Learning

OCTOBER 30, 2023

With the Amazon Bedrock serverless experience, you can quickly get started, easily experiment with FMs, privately customize them with your own data, and seamlessly integrate and deploy them into your applications using AWS tools and capabilities. As a next step, try the solution out in your account and share your feedback.

APIs 123

APIs Big data Accountability Enterprise 123

AWS Machine Learning

APRIL 3, 2024

Solution overview The solution provides an implementation for building a large language model (LLM) powered search engine prototype to retrieve and recommend products based on text or image queries. ML practitioners can perform all ML development steps—from preparing your data to building, training, and deploying ML models.

Engineering 99

Engineering Accountability Education Metrics 99

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.

Metrics 90

Metrics Analytics APIs Big data 90

AWS Machine Learning

NOVEMBER 29, 2023

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler. To import data from Snowflake, follow steps from Set up OAuth for Snowflake.

Engineering 100

Engineering Big data Customer centricity Education 100

AWS Machine Learning

NOVEMBER 22, 2023

Building a production-ready solution in AWS involves a series of trade-offs between resources, time, customer expectation, and business outcome. This post focuses on the Security pillar of the IDP solution. Protect data in transit and at rest – Encryption in transit is supported by default for all of the AI services required for IDP.

APIs 82

APIs Accountability Enterprise Transportation 82

AWS Machine Learning

MARCH 4, 2024

Vision capabilities – Claude 3 models have been trained to understand structured and unstructured data across different formats, not just language, but also images, charts, diagrams, and more. This lets businesses build generative AI applications integrating diverse multimedia sources and solving truly cross-domain problems.

Benchmark 135

Benchmark Finance Engineering Enterprise 135

AWS Machine Learning

NOVEMBER 11, 2022

Here are some highlights from key institutions and partners: “SageMaker Studio Lab solves a real problem in the classroom in that it provides an industrial-strength hosted Jupyter solution with GPU that goes beyond just a hosted notebook alone. Noah Gift, Executive in Residence at Duke MIDS (Data Science).

Accountability 76

Accountability Engineering industry solution Enterprise 76

AWS Machine Learning

APRIL 8, 2024

With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. For instructions, see Sync to ingest your data sources into the knowledge base. Metadata can be string, number, or Boolean.

APIs 102

APIs Construction Chatbots Accountability 102

AWS Machine Learning

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

Automotive 82

Automotive Engineering Metrics Finance 82

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Solution overview. A well-designed CI/CD pipeline is essential to scale any software development workflow effectively.

Accountability 82

Accountability Best practices Scripts Engineering 82

AWS Machine Learning

NOVEMBER 9, 2023

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance.

Scripts 98

Scripts Accountability Engineering Best practices 98

AWS Machine Learning

FEBRUARY 14, 2023

For instance, faculty in an educational institution belongs to different departments, and if a professor belonging to the computer science department signs in to the application and searches with the keywords “ faculty courses ,” then documents relevant to the same department come up as the top results, based on data source availability.

Chatbots 80

Chatbots APIs Construction Engineering 80

AWS Machine Learning

FEBRUARY 13, 2024

To keep pace with new products, a new model was produced each month using the latest training data. Data augmentation for model training and manually managing the complete end-to-end training cycle was adding significant overhead. For certain SKUs, we augmented data to encompass a broader range of environmental conditions.

Engineering 98

Engineering Gamification Scripts Big data 98

AWS Machine Learning

MARCH 6, 2024

Because of this, many life science researchers need to answer questions about proteins faster, cheaper, and more accurately. Various cancers Data source: Urquhart, L. In the following sections, we go through the steps to prepare your training data, create a training script, and run a SageMaker training job.

Scripts 91

Scripts Biotechnology Healthcare Accountability 91

Tethr

AUGUST 24, 2020

Data scientists are tired of being bogged down by your organization’s lower-value tasks. They didn’t know they signed up to be your go-to reporting person, your call center database expert and at everyone’s beck and call for even the simplest of questions about data. Imagine a business is requesting a new insight for its call data.

Wireless 85

Wireless Analytics Call Center Enterprise 85

Lumoa

FEBRUARY 6, 2024

We created a thing called Concepts to be the solution to this problem. Concepts aren’t something that you will be directly engaging with, but with them, our Data Science team can create systems that join phrases together.

Feedback 83

Feedback 83

AWS Machine Learning

NOVEMBER 3, 2023

Historical data has shown us a few instances where the ball’s velocity exceeded the 130 km/h mark in Bundesliga, with the all-time record being a jaw-dropping shot at 137 km/h by Bayern’s Roy Makaay. Shot speed data is the key to resolving these questions. This process comprises two key components: event data and optical tracking data.

Metrics 88

Metrics Telecommunications Consulting Consulting 88

AWS Machine Learning

NOVEMBER 29, 2023

This cost is primarily driven by the sheer volume of data used in training deep learning models. Today, large models are often trained on terabytes of data and can take weeks to train, even with powerful GPU or AWS Trainium -based hardware. However, there is less focus today on the efficiency of the training data itself.

Engineering 82

Engineering Construction Scripts Enterprise 82

CSM Magazine

JUNE 15, 2023

Sabio Group has announced today the launch of a new and innovative Wellbeing Companion solution, which is a key part of its newly created Wellbeing Programme. The trio forms a holistic, tailored and data-led wellbeing programme that places employee welfare at the forefront of organisational culture. You can register here.

Consulting 52

Consulting Consulting Technology Customer Experience 52

AWS Machine Learning

DECEMBER 1, 2022

According to a 2020 survey of data scientists conducted by Anaconda, data preparation is one of the critical steps in machine learning (ML) and data analytics workflows, and often very time consuming for data scientists. It helps interact with the data and discover insights that may go unnoticed with ad hoc querying.

Construction 83

Construction Accountability Analytics Banking 83

AWS Machine Learning

OCTOBER 26, 2022

The seeds of a machine learning (ML) paradigm shift were there for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries now have access to its transformational benefits.

Engineering 96

Engineering Construction Real estate Healthcare 96