Remove 2019 Remove APIs Remove Big data
article thumbnail

Join Us This Summer for WebinarStock!

Callminer

Employee Engagement Trends of 2019 featuring nGuvu. Hear from CallMiner and employee engagement experts nGuvu in a discussion of the employee engagement trends in 2019. Creating Customer Service Super Agents with Data, Tech and Coaching featuring Forrester. Register for 9am BST Session . Register for 10am BST Session.

article thumbnail

WFO Trends in 2020

DMG Consulting

2019 was the year of artificial intelligence (AI), automation and analytics, a trend that has continued in 2020 and into the foreseeable future, despite the pandemic. The idea is to make systems interoperable through easy-to-use application programming interfaces (APIs). WFO Trends in 2020.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Simplify data prep for generative AI with Amazon SageMaker Data Wrangler

AWS Machine Learning

While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data. Add a custom transform with Python (PySpark).

article thumbnail

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

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. We’re currently on 1.4.1,

article thumbnail

A review of purpose-built accelerators for financial services

AWS Machine Learning

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.

article thumbnail

Maturidade na gestão da experiência do cliente

Quadient

Os líderes digitais coletam dados e obtêm informações valiosas com a ajuda de modelos de dados padrão, Inteligência Artificial (IA) e análise de big data. Empresas do nível 5 frequentemente constroem seus próprios ecossistemas de aplicativos, conectando microsserviços baseados em API, provisionados através de modelos de nuvens puras.

APIs 52
article thumbnail

Customer Experience Management Maturity

Quadient

Digitale leiders verzamelen gegevens en verkrijgen waardevolle inzichten met behulp van standaard datamodellen, Artificial Intelligence (AI) en big data-analyse. Level 5-bedrijven bouwen vaak hun eigen applicatie-ecosysteem door API-gebaseerde microservices te koppelen die via pure cloudmodellen worden aangeboden.