API Case Studies, Success Stories
Wednesday, October 28, 2020
An application programming interface (API)-centric design approach is becoming increasingly popular across industries. Enterprises are unlocking standalone applications and exposing legacy services to share data across different lines of business (LOBs) by using an API management platform (AMP), built with security in mind. AMP allows providers to efficiently release legacy data and share with consumers internally and externally. API providers can rest assured given this API management platform has been built for enterprise security and API governance.
In this webinar, I will discuss and demonstrate the following topics to illustrate how enterprises can use AMP to share the legacy and new services while controlling and monitoring a portfolio of APIs.
Benefit/Value of APIs
Discuss API life-cycle management
Discuss API-first design approach
Design API using API designer
Build and deploy your APIs
Control your APIs via usage policies
Operation your APIs via monitoring, analytics, reporting, and billing
Engage with developers through Developer Portal and interactive API documentation
Make your APIs available via API discovery
PRO SESSION (API): What Do You Prefer Client Libraries or Rest API's in Implementing Azure AI Solutions?Join on Hopin
In this session we will discuss how to Use Face Client Library ( Azure cognitive Services) with .Net core Application with real time Examples. Use face client library is the recently released cognitive Service, so I felt to share my knowledge in this to my community. At the end, let's implement AI solutions using Client Libraries than REST API's.
As popular web services extend their developer platforms for partners to integrate directly into their interfaces, design trends are forming from experiences in the world of embedded integrations. With Google Drive connecting tools like Balsamiq and ShiftEdit, Gmail enabling Docusign in their web and mobile UI, and Trello’s PowerUps, custom experiences powered by third parties are proving themselves to be a great way to improve one’s product and grow your business.
After analyzing over 10 years of experiments in this space, seeing past failures and current successes, we can identify what works from successful and unsuccessful platforms, what trends are working, and what UX and technical considerations are needed to launch your own successful embedded integration plan.
Good documentation sells APIs. Content is king and it will make your API site successful. In this presentation, I describe how to design and create richly meaningful API documentation.
In recent surveys, developers rated the types of information they want. On a scale of 1-4, a majority rated complete and accurate documentation at 3.5+. In another survey, developers rated overviews and conceptual information as important as API references and code samples.
Using the design and writing principles I provide, you will be able to architect information that API developers say they want. I review the evolution of various types of API documentation sites that our team created over the last decade.
Based on our lessons learned, I provide simple tips and an API site template that small teams can use to develop meaningful documentation.
In this technical workshop we'll integrate expert.ai NL API with a main enterprise search engine. The audience will be able to:
- understand the richness and quality of the metadata extracted by the API from text in 5 languages
- see how easy and fast the integration can be with one of the most advanced enterprise search platform in the market
- how the richness and the depth of the data returned by the API can significantly enhance the user experience by providing a more accurate information retrieval and by enabling, through a much richer and granular set of metadata, new ways to access the information.
Everyday thousands of people are bullied, blackmailed, silenced and scammed online using fake photos, fake videos and misinformation. It is getting easier to (i) selectively edit photos, videos and audio, (ii) manipulate metadata of media content and (iii) even generate fully artificial videos (Eg: deepfakes). Fakes are used to spread misinformation and create socio-economic and political chaos. This is leading us towards a post-truth dystopia. Also, sometimes malicious people falsely accuse genuine videos (or photos, audio) as fakes, to promote their self-interests.
In this talk, I will present an implementation of a Blockchain-powered 'truth machine' (a mobile app) to enable a global borderless decentralized citizen photo journalism. Our technology incentivizes the spread of truth and controls misinformation before it spreads. Our app lets anyone create, share, buy, sell and trade cryptographically-signed verifiable photos and videos. The users may choose to be anonymous, pseudonymous or use their real identities.
Our Blockchain securely tracks the provenance of the photos and provides a verifiable certificate to prove that they are not fake or photoshopped or deepfaked. The digital rights of the photos are tracked using our blockchain and transferred seamlessly and securely using smart contracts, thus enabling a full-stack photo journalism platform.
Conversational intelligence technology is changing the way knowledge workers operate. In this session, we’ll walk through the rapidly evolving technology frameworks available for adding intelligence to your own B2B products, typical use cases, and experiences - be that on-demand virtual assistants to always-on intelligence; as well as real-time and post conversation summaries.
Symbl is building a new category of Voice Tech Infrastructure that enables existing platforms to add market-leading functionality to your product quickly. You will leave with a clear understanding of the value proposition, the APIs that solve the challenges, and the capabilities that will transform conversational data into business advantage for your customers. We’ll walk through the code live as we cover the intelligence layer so you can see it in action.
Accessing and working with data is not easy with serverless, because traditional methods of database access don't work well. In this talk, I will discuss the key problems around working with databases when building serverless application logic and approaches to solving them. I will motivate problems like connection pooling, cold-starts, handling spiky concurrent loads, database transactions and transient failures. I will then present GraphQL as a possible solution for building a high-performance data API that can scale to serverless workloads. I will talk about the pros & cons of this approach. Finally, I will do some live code demos and make the problems and solutions discussed previously more concrete!