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 112

Engineering Real estate Government Big data 112

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

NOVEMBER 17, 2022

As data is growing at an exponential rate, organizations are looking to set up an integrated, cost-effective, and performant data platform in order to preprocess data, perform feature engineering, and build, train, and operationalize ML models at scale. In this post, we demonstrate how to implement this solution.

Engineering 86

Engineering Big data Accountability Government 86

AWS Machine Learning

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 70

APIs Engineering Metrics Big data 70

AWS Machine Learning

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Big data 116

Big data Engineering Accountability Real estate 116

Natalie Petouhof

JUNE 16, 2016

Enterprise resource planning (ERP) within the cloud is the engine utilizing data produced on the plant floor to power manufacturers. Cloud ERP gives manufacturers more precise and real-time data. Big data is popular amongst business intelligence and analytics applications.

Big data 49

Big data Engineering Enterprise Analytics 49

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

Zappix

JANUARY 3, 2024

The company utilizes cutting-edge cloud-based technology, including AI, Robotic Process Automation (RPA), IVA and bots, Actionable Analytics and reports leveraging Big Data, and more. The post Pre-Sales Engineer appeared first on Zappix.

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Engineering Sales Self service Big data 52

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

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 139

Best practices Enterprise Engineering APIs 139

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

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 123

Engineering Entertainment Big data APIs 123

Beyond Philosophy

NOVEMBER 19, 2020

Lewis Carbone is a Customer Experience expert and speaker, and founder of Experience Engineering. It appeals to me because it uses a data-driven approach. Customer Science is a product of a perfect storm of artificial intelligence, the information provided by Big Data, and the interpretation of that data through Behavioral Science.

Customer Experience 334

Customer Experience Customer emotions Customer centricity Consulting 334

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 125

Scripts Big data Engineering SaaS 125

AWS Machine Learning

MARCH 18, 2025

Audio-to-text transcription The recorded audio files are securely transmitted to a speech-to-text engine, which converts the spoken words into text format. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice. He helps customers implement big data and analytics solutions.

Healthcare 87

Healthcare Analytics Consulting Consulting 87

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.

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Metrics Big data Analytics Engineering 138

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

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 139

Personalization Engineering Construction Transportation 139

Callminer

NOVEMBER 6, 2019

Big data is getting bigger with each passing year, but making sense of trends hidden deep in the heap of 1s and 0s is more confounding than ever. As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests. ” – O. Litomisky, S.

Big data 140

Big data Analytics Metrics Sales 140

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 128

Management Engineering Analytics Construction 128

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 133

Healthcare Big data Engineering Accountability 133

Peter Lavers

JULY 17, 2017

Giant leaps have been made in the disciplines of customer insight that businesses must embrace – Data Science, Big Data, Artificial Intelligence (AI), Cognitive Marketing, etc. Insight dependency and democratisation. And I’m not just talking about your Business Intelligence departments!

Customer Experience 182

Customer Experience Customer centricity Management Automotive 182

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 136

Best practices Engineering SaaS APIs 136

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 131

Government Engineering Accountability Enterprise 131

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 125

Engineering Accountability Feedback Construction 125

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 139

Engineering Best practices Analytics Enterprise 139

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 121

Engineering Analytics Benchmark Big data 121

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 121

Accountability Engineering Enterprise Big data 121

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 120

Government Banking Engineering Enterprise 120

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.

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Engineering Gamification Big data Scripts 130

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 128

Accountability Government Engineering Scripts 128

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.

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Scripts Engineering Metrics Big data 121

AWS Machine Learning

OCTOBER 30, 2023

He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. About the Authors Ram Vittal is a Principal ML Solutions Architect at AWS. With an M.Sc.

APIs 141

APIs Big data Accountability Enterprise 141

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 104

APIs Engineering Accountability Big data 104

ClearAction

APRIL 18, 2015

Use group sharing engines to share documents with strategies and knowledge across departments. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. 60% of companies are now investing in big data and analytics to make HR more data driven. —@tcrawford.

Customer Experience 96

Customer Experience Employee engagement Big data Customer centricity 96

AWS Machine Learning

DECEMBER 21, 2022

As feature data grows in size and complexity, data scientists need to be able to efficiently query these feature stores to extract datasets for experimentation, model training, and batch scoring. SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation.

Scripts 96

Scripts Engineering APIs Big data 96

AWS Machine Learning

MARCH 10, 2023

Data Wrangler enables you to access data from a wide variety of popular sources ( Amazon S3 , Amazon Athena , Amazon Redshift , Amazon EMR and Snowflake) and over 40 other third-party sources. Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML.

Engineering 99

Engineering Big data Enterprise Analytics 99