AWS Machine Learning

OCTOBER 24, 2024

LLMs have the potential to revolutionize content creation and the way people use search engines and virtual assistants. Retrieval Augmented Generation (RAG) is the process of optimizing the output of an LLM, so it references an authoritative knowledge base outside of its training data sources before generating a response.

Engineering 116

Engineering Scripts Big data SaaS 116

AWS Machine Learning

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

Best practices 137

Best practices Enterprise Engineering APIs 137

AWS Machine Learning

JULY 15, 2024

in Mechanical Engineering from the University of Notre Dame. Max Goff is a data scientist/data engineer with over 30 years of software development experience. Cloud Engineer specializing in developing cloud native solutions and automation. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

Engineering 121

Engineering Entertainment Big data Benchmark 121

ShepHyken

APRIL 28, 2024

Years ago, the term “Big Data” became popular. I came up with the concept of “Micro Data,” which is about very personalized information about a smaller set of customers. From chatbots and voice assistants to recommendation engines, brands are integrating AI wherever they can, and for good reason.

Customer Service 183

Customer Service Advertising B2C Big data 183

CCNG

NOVEMBER 16, 2022

Leverage Data – Big data can be powerful if managed effectively. Regularly collecting and analyzing data from your all of your customer touch points will help you 1) understand and fix process failures; 2) measure the impact of changes; 3) maintain focus on the areas that have the highest impact to your business.

Customer Experience 195

Customer Experience CCNG Customer centricity Big data 195

Beyond Philosophy

MAY 31, 2017

Seth Stephens-Davidowitz is an economist, data scientist and an author. His book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are , explores how big data reveals the biases we have and how we think. The Social-Desirability Bias.

Surveys 343

Surveys Big data Engineering Advertising 343

AWS Machine Learning

OCTOBER 5, 2023

He holds a PhD in Electrical Engineering from Northwestern University. Karthick has a PhD in Industrial and Systems Engineering with a minor in Operations Research from North Carolina State University. Before joining AWS, he obtained a PhD in Electrical Engineering from Stanford University. He founded StylingAI Inc.,

Scripts 123

Scripts Big data Engineering SaaS 123

AWS Machine Learning

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. For certain use cases, fine-tuning may be required.

Engineering 105

Engineering Real estate Government Big data 105

AWS Machine Learning

FEBRUARY 26, 2024

About the Authors Bruno Klein is a Senior Machine Learning Engineer with AWS Professional Services Analytics Practice. He helps customers implement big data and analytics solutions. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

Metrics 131

Metrics Big data Analytics Engineering 131

AWS Machine Learning

NOVEMBER 13, 2024

With the unification of SageMaker Model Cards and SageMaker Model Registry, architects, data scientists, ML engineers, or platform engineers (depending on the organization’s hierarchy) can now seamlessly register ML model versions early in the development lifecycle, including essential business details and technical metadata.

Government 102

Government Engineering Metrics APIs 102

CX Accelerator

FEBRUARY 2, 2020

Other fields of study that had more than one representative were computer science, mathematics, engineering, history, and sociology. Especially when you consider that to gain buy-in from executives for CX initiatives, there must be data to support it. 30% have degrees in business administration, 9% in marketing, 7.5% Erica Mancuso.

Customer Experience 320

Customer Experience Journey mapping Entertainment Engineering 320

AWS Machine Learning

OCTOBER 16, 2024

About the Authors Lucas Desard is GenAI Engineer at DPG Media. Tom Lauwers is a machine learning engineer on the video personalization team for DPG Media. As the manager of the team, he guides ML and software engineers in building recommendation systems and generative AI solutions for the company.

Engineering 110

Engineering Metrics APIs Big data 110

AWS Machine Learning

NOVEMBER 12, 2024

The response is displayed to the user through the widgets visualizing the trial data and the answer to the user’s specific question, as shown in the following screenshot. The data used in the prompt engineering (trial result and rules) is stored in plain text and sent to the model as is.

Analytics 110

Analytics APIs Engineering Technology 110

AWS Machine Learning

NOVEMBER 20, 2024

In this solution, we use Amazon Q to build a comprehensive knowledge base that combines sales-related data from an Aurora MySQL database and sales documents stored in an S3 bucket. Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. Data Engineer at Amazon Ads.

Sales 90

Sales Engineering Big data Enterprise 90

AWS Machine Learning

DECEMBER 7, 2023

In this post, we describe how we reduced the modelling time by 70% by doing the feature engineering and modelling using Amazon Forecast. The vast array of models and the sophisticated feature engineering capabilities offered by AWS Forecast proved more advantageous and optimized our resource utilization.

Management 125

Management Engineering Analytics Construction 125

AWS Machine Learning

NOVEMBER 7, 2024

We explored multiple big data processing solutions and decided to use an Amazon SageMaker Processing job for the following reasons: It’s highly configurable, with support of pre-built images, custom cluster requirements, and containers. In his spare time, Mones enjoys operatic singing and scuba diving.

Engineering 108

Engineering Automotive Finance Government 108

AWS Machine Learning

AUGUST 8, 2024

Users typically reach out to the engineering support channel when they have questions about data that is deeply embedded in the data lake or if they can’t access it using various queries. Having an AI assistant can reduce the engineering time spent in responding to these queries and provide answers more quickly.

Engineering 120

Engineering Accountability Feedback Construction 120

AWS Machine Learning

MARCH 15, 2024

Randy has held a variety of positions in the technology space, ranging from software engineering to product management. He entered the big data space in 2013 and continues to explore that area. Prior to joining AWS, Arnab was a technology leader and previously held architect and engineering leadership roles.

Healthcare 120

Healthcare Big data Engineering Accountability 120

Branch Mesenger

MAY 2, 2018

Using Big Data to Make Leadership Advances in the Workplace. Efforts helped Best Buy crimp employee turnover “well into the double digits,” Timothy Embretson, director of retail user experience told the attendees at the Future Stores Miami conference in February of 2018.

Engineering 74

Engineering Morale Employee engagement Big data 74

AWS Machine Learning

AUGUST 21, 2024

Amazon DataZone allows you to create and manage data zones , which are virtual data lakes that store and process your data, without the need for extensive coding or infrastructure management. The data publisher is responsible for publishing and governing access for the bespoke data in the Amazon DataZone business data catalog.

Government 118

Government Banking Engineering Enterprise 118

AWS Machine Learning

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. A feature store maintains user profile data.

Personalization 130

Personalization Engineering Construction Transportation 130

Lumoa

MAY 16, 2024

How to Improve the Data Science and LLM Development Process Anyone who has worked in data science will recognize this familiar scene: a clever data scientist copies code from a Git repository to a Jupyter notebook , makes some tweaks, and then pastes it back to push it towards production. and “It cannot be happening!”

Engineering 78

Engineering Banking Metrics Big data 78

AWS Machine Learning

FEBRUARY 1, 2024

There are unique considerations when engineering generative AI workloads through a resilience lens. Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

Best practices 133

Best practices Engineering SaaS Accountability 133

AWS Machine Learning

MARCH 13, 2024

To develop models for such use cases, data scientists need access to various datasets like credit decision engines, customer transactions, risk appetite, and stress testing. Kesaraju Sai Sandeep is a Cloud Engineer specializing in Big Data Services at AWS.

Accountability 114

Accountability Engineering Enterprise Big data 114

AWS Machine Learning

DECEMBER 4, 2023

About the Authors Nafi Ahmet Turgut finished his master’s degree in Electrical & Electronics Engineering and worked as a graduate research scientist. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. She continues her master’s degree of Computer Engineering in Boğaziçi University.

Engineering 120

Engineering Analytics Benchmark Big data 120

AWS Machine Learning

FEBRUARY 28, 2024

To address the challenges, our solution first incorporates the metadata of the data sources within the AWS Glue Data Catalog to increase the accuracy of the generated SQL query. Athena also allows us to use a multitude of supported endpoints and connectors to cover a large set of data sources.

Engineering 128

Engineering Best practices Analytics Enterprise 128

AWS Machine Learning

OCTOBER 20, 2023

This framework’s federated approach allows the central platform engineering team to set some high-level policies and standards, but also gives LOB teams flexibility to adapt based on local needs. Data scientists create and share new features into the central feature store catalog for reuse.

Government 125

Government Engineering Accountability Enterprise 125

CX Accelerator

FEBRUARY 2, 2020

Other fields of study that had more than one representative were computer science, mathematics, engineering, history, and sociology. Especially when you consider that to gain buy-in from executives for CX initiatives, there must be data to support it. 30% have degrees in business administration, 9% in marketing, 7.5% Erica Mancuso.

Customer Experience 182

Customer Experience Journey mapping Entertainment Engineering 182

AWS Machine Learning

JUNE 19, 2024

About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice. He helps customers implement big data, machine learning, analytics solutions, and generative AI solutions. Outside of work, he enjoys spending time with family, reading, running, and playing golf.

APIs 127

APIs Engineering Accountability Scripts 127

AWS Machine Learning

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

Accountability 129

Accountability Government Engineering Scripts 129

AWS Machine Learning

JUNE 17, 2024

With SageMaker Processing jobs, you can use a simplified, managed experience to run data preprocessing or postprocessing and model evaluation workloads on the SageMaker platform. Twilio needed to implement an MLOps pipeline that queried data from PrestoDB. Get started today by referring to the GitHub repository.

Scripts 122

Scripts Engineering Metrics Big data 122

Beyond Philosophy

JULY 5, 2016

Create experiences that are proactively human-engineered. Within customer-related processes, experiences need to be designed, engineered, or re-engineered, so that authentic humanity is built in. It is employees who are the real, flexible experience engineers.

Customer Experience 210

Customer Experience Engineering Customer centricity B2C 210

AWS Machine Learning

FEBRUARY 13, 2024

In our entire partnership, AWS has set the bar on customer obsession and delivering results—working with us the whole way to realize promised benefits.” – Keshav Kumar, Head of Engineering at BigBasket. About the Authors Santosh Waddi is a Principal Engineer at BigBasket, brings over a decade of expertise in solving AI challenges.

Engineering 124

Engineering Gamification Scripts Big data 124

AWS Machine Learning

AUGUST 21, 2023

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. In this post, we show how to use Lake Formation as a central data governance capability and Amazon EMR as a big data query engine to enable access for SageMaker Data Wrangler.

Engineering 93

Engineering Accountability Big data Sales 93

AWS Machine Learning

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

Engineering 93

Engineering Analytics Self service Government 93

CSM Magazine

AUGUST 1, 2024

It will investigate the limitations of traditional data warehouses and modern architectures and consider what this means for data engineers and enterprise solution architects. Furthermore, their use allows scalable storage and processing capacities that adjust accordingly according to data volumes.

Big data 52

Big data Enterprise Analytics Government 52

IdeasUnlimited

JUNE 27, 2023

The idea of using big data to program software is not new. However, engineers have run into a problem. Quantum computers are, however, much better at sifting through big data or charting simulations. Smartphones that can perform predictive typing based on what you have written previously. nanometers. nanometers.

Technology 52

Technology Big data Entertainment Engineering 52