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

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

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 138

Best practices Enterprise Engineering APIs 138

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 127

Management Engineering Analytics Construction 127

TechSee

APRIL 3, 2018

While people and processes continue to play an essential role in reducing customer churn , the technological advancement associated with AI, Big Data analytics, visualization, voice analytics, and other advanced technologies that improve the customer experience offer a critical boost to the human factor.

Customer retention 141

Customer retention Technology Analytics Technical Support 141

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 119

Engineering Analytics Benchmark Big data 119

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 141

Engineering Best practices Analytics Enterprise 141

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 124

Scripts Big data Engineering SaaS 124

AWS Machine Learning

NOVEMBER 22, 2024

It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications. In his spare time, he rides motorcycle and walks with his sheep-a-doodle!

Government 100

Government Banking Accountability Engineering 100

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 132

Government Engineering Accountability Enterprise 132

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 138

Healthcare Big data Engineering Accountability 138

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 140

Personalization Engineering Construction Transportation 140

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 119

Government Banking Engineering Enterprise 119

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

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 105

APIs Engineering Accountability Big data 105

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 105

Engineering Analytics Self service Government 105

AWS Machine Learning

FEBRUARY 7, 2025

CONXAI Technology GmbH is pioneering the development of an advanced AI platform for the Architecture, Engineering, and Construction (AEC) industry. Construction sites typically employ multiple CCTV cameras, generating vast amounts of visual data. This is a guest post co-written with Tim Krause, Lead MLOps Architect at CONXAI.

Construction 64

Construction Analytics APIs Big data 64

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 123

Surveys Metrics Engineering Analytics 123

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 98

Engineering Analytics Finance Big data 98

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

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 126

Engineering Accountability Feedback Construction 126

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 126

Accountability Government Engineering Scripts 126

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

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 117

Engineering Real estate Government Big data 117

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

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 130

Engineering Gamification Big data Scripts 130

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. Table formats provide a way to abstract data files as a table. Note you will need to use Athena engine version 3.

Scripts 98

Scripts Engineering APIs Big data 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 119

Scripts Engineering Metrics Big data 119

Natalie Petouhof

JUNE 4, 2015

Herman says that the guiding priorities of Teradata are: Key Principle #1: Analytic ecosystem: Teradata, DB, UDA, Real-time, Fabric Architecture. Key Principle #2: Big Data Technologies: Aster, Hadoop, Big Data Apps, Apps Center, Open Source Contribution and leverage. Key Principle#3: Cloud for Analytics.

Big data 53

Big data Chief Customer Officer Analytics Consulting 53

Natalie Petouhof

OCTOBER 20, 2015

Tweet Teradata announced two new breakthrough software capabilities that empower business users to uncover and operationalize the insights hidden within Internet of Things (IoT) data. Even the most technology-savvy organizations recognize that extracting value from data generated by the IoT is a difficult, skills-intensive process.

Analytics 40

Analytics Big data Self service Healthcare 40

Natalie Petouhof

FEBRUARY 1, 2016

the collaborative data company, to deliver a collaborative data catalog that brings trust in data to self-service analytics. . For example, eBay was recently honored at Teradata PARTNERS Conference and Expo with a Teradata EPIC Award for its self-service analytics with Alation. What Does This Mean To You?

Self service 40

Self service Analytics Big data Engineering 40

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 127

APIs Enterprise Big data Chatbots 127

AWS Machine Learning

DECEMBER 8, 2022

In this intensive competitive market, teams want to analyze data and extract more meaningful insights quickly. Customers are adopting more efficient and visual ways to build data processing systems. The same feature engineering code is often run again and again, wasting time and compute resources on repeating the same operations.

Engineering 94

Engineering Analytics Enterprise Big data 94

ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 79

APIs Big data Analytics Self service 79

AWS Machine Learning

JULY 14, 2022

Through model monitoring, model explainability, analytics, and bias detection, Fiddler provides your company with an easy-to-use single pane of glass to ensure your models are behaving as they should. Danny Brock is a Sr Solutions Engineer at Fiddler AI. He founded his own big data analytics consulting company, Branchbird, in 2012.

Enterprise 98

Enterprise Engineering Analytics Big data 98