The Dangers of Ignoring the API Revolution (NordicAPIS April 2014)

•

1 recomendación•640 vistas

Nordic APIs

Software Tecnología Noticias y política

CONNECTION
NOT
FOUND

THE
DANGERS
OF
IGNORING
THE
API
REVOLUTION

BEN
NUNNEY
|
TWILIO
EUROPE
|
@BENNUNNEY

“Snapchat's API Is Hacked And
Exploits Published”

“Refrigerator sends 750,000
malicious emails”

Why should I build or use
or go anywhere near an API?

Don’t think about the who.
Think about the new.

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Test automation is a cornerstone of software development and quality assurance in today's rapidly evolving digital landscape. Its significance cannot be overstated. Businesses can enhance efficiency, productivity, and accelerate software delivery to market through automation, streamlining testing processes effectively. This comprehensive guide addresses the best practices for test automation in 2024. It offers a detailed checklist to empower you to optimize your automation efforts and maintain a competitive edge.

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How To Use Server-Side Rendering with Nuxt.js

Andolasoft Inc

5 Signs You Need a Fashion PLM Software.pdf

Wave PLM

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Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...

MyIntelliSource, Inc.

Software Quality Assurance Interview Questions

Arshad QA

Diamond Application Development Crafting Solutions with Precision

SolGuruz

Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Steffen Staab

In the realm of real-time applications, Large Language Models (LLMs) have long dominated language-centric tasks, while tools like OpenCV have excelled in the visual domain. However, the future (maybe) lies in the fusion of LLMs and deep learning, giving birth to the revolutionary concept of Large Action Models (LAMs). Imagine a world where AI not only comprehends language but mimics human actions on technology interfaces. For example, the Rabbit r1 device presented at CES 2024, driven by an AI operating system and LAM, brings this vision to life. It executes complex commands, leveraging GUIs with unprecedented ease. In this presentation, join me on a journey as a software engineer tinkering with WebRTC, Janus, and LLM/LAMs. Together, we’ll evaluate the current state of these AI technologies, unraveling the potential they hold for shaping the future of real-time applications.

Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications

Alberto González Trastoy

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How To Troubleshoot Collaboration Apps for the Modern Connected Worker

ThousandEyes

Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...

kellynguyen01

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TECUNIQUE: Success Stories: IT Service provider

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