AWS Machine Learning

OCTOBER 20, 2023

Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards. Data scientists create and share new features into the central feature store catalog for reuse.

Government 110

Government Engineering Accountability Enterprise 110

AWS Machine Learning

NOVEMBER 22, 2024

For example, in the bank marketing use case, the management account would be responsible for setting up the organizational structure for the bank’s data and analytics teams, provisioning separate accounts for data governance, data lakes, and data science teams, and maintaining compliance with relevant financial regulations.

Government 80

Government Banking Accountability Engineering 80

AWS Machine Learning

FEBRUARY 21, 2023

After spending many hours in a materials research lab, his background in chemical engineering was quickly left behind to pursue his interest in machine learning. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera. Clay Elmore is an AI/ML Specialist Solutions Architect at AWS.

Best practices 70

Best practices Accountability Metrics Engineering 70

DMG Consulting

AUGUST 17, 2017

Advancements in artificial intelligence (AI), machine learning, Big Data analytics, and mobility are all driving contact center innovation. 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

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

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 117

Personalization Engineering Construction Transportation 117

ClearAction

APRIL 18, 2015

Use group sharing engines to share documents with strategies and knowledge across departments. Create CX playbooks & best practice to guide interactions with customers. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. Here are ways HR can help: Knowledge Management.

Customer Experience 96

Customer Experience Employee engagement Big data Customer centricity 96

AWS Machine Learning

FEBRUARY 29, 2024

This enables data scientists to quickly build and iterate on ML models, and empowers ML engineers to run through continuous integration and continuous delivery (CI/CD) ML pipelines faster, decreasing time to production for models. Jinzhao Feng , is a Machine Learning Engineer at AWS Professional Services.

Scripts 101

Scripts Engineering Metrics Best practices 101

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 99

Accountability Engineering Enterprise Big data 99

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

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 79

Engineering Analytics Self service Government 79

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 91

Engineering Real estate Government Big data 91

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. He is a builder who enjoys helping customers accomplish their business needs and solve complex challenges with AWS solutions and best practices.

Government 101

Government Accountability Enterprise Best practices 101

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 99

Surveys Metrics Analytics Engineering 99

AWS Machine Learning

SEPTEMBER 9, 2022

Our initial ML model uses 21 batch features computed daily using data captured in the past 2 months. This data includes both playback and app engagement history per user, and grows with the number of users and frequency of app usage. Manolya McCormick is a Sr Software Development Engineer for Amp on Amazon. Real-time inference.

Personalization 72

Personalization APIs Metrics Engineering 72

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data. tar czvf model.tar.gz -C deepspeed.

Management 98

Management Best practices APIs Calibration 98

AWS Machine Learning

JULY 19, 2022

He has more than a decade of experience working in a variety of technology roles, with a focus on software engineering and architecture. He works with AWS EdTech customers, guiding them with architectural best practices for migrating existing workloads to the cloud and designing new workloads with a cloud-first approach.

Engineering 84

Engineering APIs Education Best practices 84

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 90

Government Engineering Metrics APIs 90

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 101

Engineering Metrics APIs Big data 101

AWS Machine Learning

DECEMBER 14, 2023

ICL is a multi-national manufacturing and mining corporation based in Israel that manufactures products based on unique minerals and fulfills humanity’s essential needs, primarily in three markets: agriculture, food, and engineered materials. He was fortunate to research spatial and time series data in the precision agriculture domain.

Engineering 89

Engineering Big data outsourcing Education 89

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Data Engineer for Amp on Amazon.

Analytics 69

Analytics Engineering Metrics APIs 69

AWS Machine Learning

JUNE 25, 2024

With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera. She is also the Co-Director of Women In Big Data (WiBD), Denver chapter.

Metrics 104

Metrics APIs Government Big data 104

AWS Machine Learning

NOVEMBER 9, 2023

Machine Learning Engineer with AWS Professional Services. Prior to this role, she led multiple initiatives as a data scientist and ML engineer with top global firms in the financial and retail space. She holds a master’s degree in Computer Science specialized in Data Science from the University of Colorado, Boulder.

Scripts 109

Scripts Accountability Best practices Engineering 109

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 77

Engineering Analytics APIs Enterprise 77

AWS Machine Learning

MARCH 23, 2023

To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker. We perform data exploration and feature engineering using a SageMaker notebook, and then perform model training using a SageMaker training job.

Scripts 103

Scripts APIs Government Analytics 103

AWS Machine Learning

NOVEMBER 14, 2024

It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. Model training You can continue experimenting with different feature engineering techniques in your JupyterLab environment and track your experiments in MLflow. Madhubalasri B.

Government 78

Government Management APIs Accountability 78

Natalie Petouhof

AUGUST 26, 2015

Prior to starting Totango, he worked in the area of real-time Big Data as executive vice president of engineering at GigaSpaces Technologies, a middleware provider. Today, it maintains two offices, one in San Mateo, California and one in Tel Aviv, Israel. Guy Nirpaz leads the company as CEO and co-founder.

Sales 51

Sales Management Advertising Best practices 51

AWS Machine Learning

SEPTEMBER 9, 2022

Consequently, maintaining and augmenting older projects required more engineering time and effort. In addition, as new data scientists joined the team, knowledge transfers and onboarding took more time, because synchronizing local environments included many undocumented dependencies.

Engineering 75

Engineering Healthcare APIs Scripts 75

REVE Chat Blog

FEBRUARY 12, 2020

Make use of big data analytics. This includes taking a 360-degree view of your banking customer and leveraging the data available. . Big data analytics is a vital ingredient in enhancing customer experience in banking and making crucial business decisions. What obstacles might they face? .

Banking 76

Banking Customer Experience Chatbots Big data 76

AWS Machine Learning

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. Conclusion In this post, we shared a solution you can use to quickly install the Spark UI on SageMaker Studio.

Scripts 67

Scripts Engineering Big data Management 67

Talkdesk

FEBRUARY 23, 2017

In this post, we’ll cover a couple of ways to use big data to assist in predictive customer service attempts. When it comes to customers, there’s all sort of data to review, but as far as customer service is concerned, it’s vital that companies know the issues customers are having at various stages of their product usage.

Customer Service 40

Customer Service Best practices Big data Metrics 40

AWS Machine Learning

NOVEMBER 6, 2024

For installation instructions, see Install Docker Engine. Before using this application in a production environment, you should thoroughly review and implement appropriate security measures, such as configuring HTTPS on the load balancer and following AWS best practices for securing your resources. The AWS CDK. Docker or Colima.

Construction 106

Construction APIs Big data Best practices 106

AWS Machine Learning

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. Zilong Bai is a senior natural language processing engineer at Patsnap.

APIs 66

APIs Engineering Construction Benchmark 66

Calabrio

APRIL 25, 2017

Traditionally contact centers have been dealing with two main data challenges. Real-time data. Real-time data is handled by a separate, dedicated real-time engine that feeds a set of separate reports. The birth of Big Data. Today there are technologies that are capable of handling large quantities of data.

Multichannel 40

Multichannel Contact Center Big data Metrics 40

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 40

APIs Big data Analytics Self service 40

AWS Machine Learning

AUGUST 29, 2023

Refer to Operating model for best practices regarding a multi-account strategy for ML. The data engineer is responsible for the following: Uploading labeled training data to the appropriate path in Amazon S3. Vivek Lakshmanan is a Machine Learning Engineer at Amazon.

Scripts 72

Scripts APIs Enterprise Accountability 72

Xaqt

JUNE 22, 2020

Despite significant advancements in big data and open source tools, niche Contact Center Business Intelligence providers are still wed to their own proprietary tools leaving them saddled with technical debt and an inability to innovate from within. Together, we can develop best practices and sharable templates for the entire industry.

Call Center 52

Call Center Contact Center Analytics Engineering 52