AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs 74

APIs Accountability Scripts Enterprise 74

AWS Machine Learning

NOVEMBER 29, 2023

Amazon SageMaker notebook jobs allow data scientists to run their notebooks on demand or on a schedule with a few clicks in SageMaker Studio. With this launch, you can programmatically run notebooks as jobs using APIs provided by Amazon SageMaker Pipelines , the ML workflow orchestration feature of Amazon SageMaker.

APIs 87

APIs Management Engineering Big data 87

AWS Machine Learning

JANUARY 26, 2024

As your organization advances its use of emerging technologies such as generative AI and LLMs, overall organizational resiliency should be considered as a cornerstone of a layered defensive strategy to protect assets and lines of business from unintended consequences. The datasets you train and fine-tune your models on must also be reviewed.

Best practices 127

Best practices Government Engineering Accountability 127

AWS Machine Learning

OCTOBER 4, 2022

One of the main drivers for new innovations and applications in ML is the availability and amount of data along with cheaper compute options. In the data preparation step, data is loaded, massaged, and transformed into the type of inputs, or features, the ML model expects. About the authors.

Scripts 76

Scripts Engineering Management APIs 76

Dialer 360

DECEMBER 14, 2018

The problem is technology advanced as much as instant pace than the call center can adapt to at least for now. Digital transformation with apps of latest technologies has entirely restructured the modern business. These offer applications with open APIs provide a new level of customization and integration. Personalization.

Call Center 21

Call Center Analytics Customer centricity APIs 21

AWS Machine Learning

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. As always, AWS welcomes feedback.

APIs 99

APIs Enterprise Big data Chatbots 99

aircall

APRIL 16, 2021

SaaS works well for a variety of general use cases, including: Data backup. Big data analytics. Flexibility – SaaS uses an open API (application programming interface) technology. Mobility – Cloud computing technology works in connection with cellular technology. It doesn’t discriminate!

SaaS 62

SaaS Sales Coaching APIs 62

AWS Machine Learning

JULY 29, 2022

Amazon SageMaker is a fully managed service that provides developers and data scientists the ability to build, train, and deploy machine learning (ML) models quickly. The SageMaker Python SDK provides open-source APIs and containers to train and deploy models on SageMaker, using several different ML and deep learning frameworks.

Scripts 87

Scripts APIs Big data Engineering 87

aircall

MAY 24, 2021

In today’s marketplace, it’s hard to survive without the cloud, big data, APIs, IoT, machine learning, artificial intelligence, automation, and mobile technologies. IT personnel aren’t familiar with cloud technology. Two things are driving digital transformation—technology and evolving customer expectations.

Best practices 62

Best practices Call Center Technology Analytics 62

AWS Machine Learning

DECEMBER 1, 2022

Organizations can dive deep to identify which models have missing or inactive monitors and add them using SageMaker APIs to ensure all models are being checked for data drift, model drift, bias drift, and feature attribution drift. Give Model cards and the Model dashboard a try, and leave your comments with questions and feedback.

Government 82

Government Metrics APIs Engineering 82

AWS Machine Learning

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. We encourage you try out the new model card sharing feature and let us know your feedback.

Government 95

Government Accountability Enterprise Engineering 95

Xaqt

JUNE 22, 2020

The innovation quagmire in the Call Center Reporting and Analytics space is rooted in three key issues: Vendor's who's contact center suites are an amalgamation of various acquisitions, such as: Cisco, Avaya, Genesys, NICE and Verint have done a poor job of providing integrated data and reporting across their own portfolios.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

SEPTEMBER 9, 2022

Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. This means that user access can be controlled on the Kubeflow UI but not over the Kubernetes API via Kubectl. About the authors.

Engineering 80

Engineering Healthcare APIs Scripts 80

AWS Machine Learning

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. We encourage you try out the new model card sharing feature and let us know your feedback.

Government 52

Government Accountability Enterprise Engineering 52