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 73

Personalization APIs Engineering Metrics 73

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 70

Analytics Engineering APIs Metrics 70

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 68

Scripts Engineering Big data Management 68

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 85

Engineering APIs Education Best practices 85

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 67

APIs Engineering Construction Benchmark 67

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 101

Scripts Accountability Engineering Best practices 101

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

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 97

Scripts APIs Government Analytics 97

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

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 114

Best practices Engineering SaaS APIs 114

AWS Machine Learning

AUGUST 2, 2023

The image repository is then indexed by Amazon Kendra, which is a search engine that can be used to search for structured and unstructured data. About the Authors Charalampos Grouzakis is a Data Scientist within AWS Professional Services. Tanvi Singhal is a Data Scientist within AWS Professional Services.

Enterprise 72

Enterprise Healthcare APIs Big data 72

AWS Machine Learning

APRIL 24, 2023

With 8 years of experience in the IT industry, Ray is dedicated to building modern solutions on the cloud, especially in NoSQL, big data, and machine learning. Before joining AWS, she was a software engineer. About the Authors Ray Wang is a Solutions Architect at AWS. He loves to read and watch sci-fi movies in his spare time.

APIs 62

APIs Customer Experience Feedback Chatbots 62

AWS Machine Learning

FEBRUARY 28, 2024

Third, despite the larger adoption of centralized analytics solutions like data lakes and warehouses, complexity rises with different table names and other metadata that is required to create the SQL for the desired sources. Athena also allows us to use a multitude of supported endpoints and connectors to cover a large set of data sources.

Engineering 113

Engineering Best practices Analytics Enterprise 113

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 103

Government Engineering Accountability Enterprise 103

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

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 71

Best practices Accountability Metrics Engineering 71

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 73

Engineering Analytics Government Self service 73

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

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 91

Management APIs Best practices Calibration 91

Stratifyd

JANUARY 3, 2019

We are seeking an analytical, results-driven individual with a passion for developing applications and improving existing ones who knows how to get things done and is not afraid to take on big challenges. As a Senior Back-End Software Engineer with Stratifyd, Inc. Bachelor’s degree in Computer Science, Engineering or related field.

Engineering 40

Engineering APIs Analytics Healthcare 40

Vistio

OCTOBER 5, 2021

And you can look at various specific areas such as data analytics, big data, being able to study patterns within data, using artificial intelligence or using machine learning to actually gather up every customer interaction, and remember the original problem and the solution.

Chatbots 52

Chatbots Contact Center Banking Technology 52

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 93

Scripts Engineering Metrics Best practices 93

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 92

Government Accountability Enterprise Engineering 92

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 90

APIs Big data Analytics Engineering 90

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 78

Engineering Analytics APIs Enterprise 78

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 Analytics 96

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 52

Government Accountability Enterprise Engineering 52

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

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 76

Engineering Healthcare APIs Scripts 76

AWS Machine Learning

JUNE 15, 2022

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. To improve productivity, all the required parts and correct tools need to be available for the engineers at each stage of production. Edge computing.

Transportation 77

Transportation APIs Big data Wireless 77

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 73

Scripts APIs Enterprise Accountability 73

AWS Machine Learning

DECEMBER 1, 2022

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. An example IAM policy for an ML administrator may look like the following code.

Management 74

Management Government Enterprise APIs 74

AWS Machine Learning

MAY 8, 2023

He holds a PhD in Telecommunication Engineering and has experience in software engineering. He regularly speaks at AI and machine learning conferences across the world including O’Reilly AI, Open Data Science Conference, and Big Data Spain.

APIs 71

APIs Government Accountability Scripts 71

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

ChurnZero

JUNE 3, 2022

To talk about what needs to change and to offer his thoughts on how you can do it, we’re joined by You Mon Tsang who founded not just one, but four successful software companies, including Biz360, Engine 140, and Milktruck, before going on to found his latest business ChurnZero where he’s CEO and founder. The lightning round.

SaaS 52

SaaS B2B Upselling Metrics 52

ChurnZero

JUNE 3, 2022

To talk about what needs to change and to offer his thoughts on how you can do it, we’re joined by You Mon Tsang who founded not just one, but four successful software companies, including Biz360, Engine 140, and Milktruck, before going on to found his latest business ChurnZero where he’s CEO and founder. The lightning round.

SaaS 52

SaaS B2B Upselling Metrics 52

Stratifyd

DECEMBER 20, 2018

In this role you will work collaboratively with our Sales, Engineering, and Leadership team to develop meaningful content across multiple channels that drives brand awareness through effective messaging. Experience and/or knowledge of AI, Big Data, Tech. As a Marketing and Social Media Content Writer with Stratifyd, Inc.

Marketing 40

Marketing Brand ambassadors Healthcare Scripts 40