AWS Machine Learning

MAY 3, 2023

This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process. One aspect of this data preparation is feature engineering. However, generalizing feature engineering is challenging.

Engineering 104

Engineering Metrics APIs Big data 104

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 118

Big data Engineering Accountability Real estate 118

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 94

Engineering Big data Accountability Government 94

AWS Machine Learning

SEPTEMBER 9, 2022

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

Analytics 97

Analytics Engineering Metrics APIs 97

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

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 140

Metrics Big data Analytics Engineering 140

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 140

Best practices Enterprise Engineering APIs 140

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.

Engineering 52

Engineering Sales Self service Big data 52

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. Data Permission. Data Preparation.

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 130

Management Engineering Analytics Construction 130

AWS Machine Learning

DECEMBER 4, 2023

We capitalized on the powerful tools provided by AWS to tackle this challenge and effectively navigate the complex field of machine learning (ML) and predictive analytics. This capability of predictive analytics, particularly the accurate forecast of product categories, has proven invaluable.

Engineering 122

Engineering Analytics Benchmark Big data 122

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 127

Scripts Big data Engineering SaaS 127

AWS Machine Learning

SEPTEMBER 18, 2024

The backbone of these advancements is ZOE, Zeta’s Optimization Engine. ZOE is a multi-agent LLM application that integrates with multiple data sources to provide a unified view of the customer, simplify analytics queries, and facilitate marketing campaign creation. Saurabh Gupta is a Principal Engineer at Zeta Global.

APIs 122

APIs Engineering Analytics Marketing 122

Branch Mesenger

MAY 2, 2018

Using Big Data to Make Leadership Advances in the Workplace. While surveys that lead to these results are historically what we’ve had to understand engagement metrics, analytics are far more important. They determined that just a negligible increase in engagement netted a specific store a big boost in sales.

Engineering 74

Engineering Morale Employee engagement Big data 74

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. In addition, the administrator sets up a variety of organization units (OUs) and initial accounts to support your ML and analytics workflows.

Government 135

Government Engineering Accountability Enterprise 135

AWS Machine Learning

OCTOBER 23, 2024

Whether your HR department needs a Q&A workflow for employee benefits, your legal team needs a contract redlining solution, or your analysts need a research report analysis engine, Agent Creator provides the tools and flexibility to build it all. He currently is working on Generative AI for data integration.

Enterprise 91

Enterprise APIs Engineering Government 91

AWS Machine Learning

FEBRUARY 28, 2024

The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language. Second, you might need to build text-to-SQL features for every database because data is often not stored in a single target. We use Anthropic Claude v2.1

Engineering 142

Engineering Best practices Analytics Enterprise 142

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 122

Government Banking Engineering Enterprise 122

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 141

Personalization Engineering Construction Transportation 141

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 140

Healthcare Big data Engineering Accountability 140

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.

APIs 107

APIs Engineering Accountability Big data 107

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

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 109

Engineering Analytics Self service Government 109

AWS Machine Learning

JUNE 3, 2024

Prepare your data As expected in the ML process, your dataset may require transformations to address issues such as missing values, outliers, or perform feature engineering prior to model building. SageMaker Canvas provides ML data transforms to clean, transform, and prepare your data for model building without having to write code.

Surveys 127

Surveys Metrics Analytics Engineering 127

AWS Machine Learning

MAY 15, 2023

About the Authors Nafi Ahmet Turgut finished his Master’s Degree in Electrical & Electronics Engineering and worked as graduate research scientist. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. He joined Getir in 2021, and has been working as a Data Scientist.

Engineering 99

Engineering Analytics Finance Big data 99

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 129

Engineering Accountability Feedback Construction 129

AWS Machine Learning

AUGUST 2, 2024

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. About the authors Vicente Cruz Mínguez is the Head of Data & Advanced Analytics at Cepsa Química.

APIs 128

APIs Analytics Chatbots Engineering 128

DMG Consulting

AUGUST 17, 2017

Advancements in artificial intelligence (AI), machine learning, Big Data analytics, and mobility are all driving contact center innovation. Speech analytics. The success of speech analytics demonstrates how good technology accompanied by best practices is a winning formula for companies that can afford the investment.

Contact Center 69

Contact Center Technology Big data Gamification 69

AWS Machine Learning

FEBRUARY 13, 2024

For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account. Their task is to construct and oversee efficient data pipelines. Their aim is to feed data into a centralized feature store, establishing it as the undisputed reference point.

Accountability 129

Accountability Government Engineering Scripts 129

CSM Magazine

JULY 29, 2021

It is the main innovation behind the engine that performs functions such as task prediction and dialog control. Addepto is one of the top data science and AI consulting companies operating in over 12 countries. They typically help businesses make bolder decisions through internet data and AI.

Real estate 98

Real estate Engineering Consulting Consulting 98

AWS Machine Learning

SEPTEMBER 9, 2022

Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.

Personalization 98

Personalization APIs Metrics Engineering 98

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 133

Engineering Gamification Big data Scripts 133

AWS Machine Learning

APRIL 19, 2023

This post walks through a complete example of how you can couple streaming feature engineering with Feature Store to make ML-backed decisions in near-real time. Apache Flink is a popular framework and engine for processing data streams. cc_num trans_time amount fraud_label …1248 Nov-01 14:50:01 10.15

Engineering 98

Engineering Analytics APIs Enterprise 98

AWS Machine Learning

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. The data distribution for punt and kickoff are different.

Calibration 98

Calibration Engineering Big data Automotive 98

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

AWS Machine Learning

AUGUST 12, 2024

Data is presented to the personas that need access using a unified interface. For example, it can be used to answer questions such as “If patients have a propensity to have their wearables turned off and there is no clinical telemetry data available, can the likelihood that they are hospitalized still be accurately predicted?”

Engineering 124

Engineering APIs Healthcare Analytics 124

AWS Machine Learning

NOVEMBER 17, 2023

About the authors Igor Alekseev is a Senior Partner Solution Architect at AWS in Data and Analytics domain. Prior joining AWS, as a Data/Solution Architect he implemented many projects in Big Data domain, including several data lakes in Hadoop ecosystem.

APIs 130

APIs Enterprise Big data Chatbots 130