探索 >   IBM PartnerWorld
 |  |  |  |  | 
翻译
中文(简体)中文(漢字)EnglishFrançaisItaliano日本語한국어PortuguêsРусскийEspañol
通过 Transposh - translation plugin for wordpress

为了您的方便,有利于英语语言版本的这个博客成几种语言的翻译提供了一个翻译小部件. 如果您选择使用这种自动的翻译设施, 请理解可能有偏差自动的翻译和英文原版之间. IBM 并不负责任何自动化的翻译偏差和提供翻译的版本 "正如" 没有任何形式的保证.

行政方面来说 多边环境协定 合作伙伴体验 沃森建立系列

SenzIT利用了通过沃森建立挑战AI功能,以推进其Evidencer解决方案

Overloaded with cases, today’s courts are eager to employ new solutions for streamlining processes. Many are turning to e-court solutions that can help efficiently archive content from court proceedings and eliminate manual, paper-based workflows.

SenzIT began developing its Evidencer solution to address these e-court needs. But the company quickly recognized that incorporating cognitive capabilities, such as machine learning and artificial intelligence (AI), could enhance the power and expand the utility of the solution.

In this Q&一个, SenzIT CEO Shibi Salim explains how the Watson Build Challenge helped his company integrate AI capabilities into Evidencer and create new use cases for this innovative solution.

How did you react when you learned you were the 2017 沃森建立中东和非洲冠军?

The team was first shocked and then ecstatic. Deep down we knew we had a chance to win because we truly believe our Evidencer solution fills a critical need for smarter, faster justice.

Creating a cognitive solution using Watson APIs requires innovative thinking. 你是怎么想出的解决方案的概念?

We heard from government officials who needed to modernize their court systems. They wanted to record video and audio to efficiently archive court proceedings. While some companies have developed e-court solutions in an effort to sell A/V hardware, we saw an opportunity to create a more flexible, software-oriented solution.

We started development in 2010 and sold the product to more than a dozen courts, earning almost 90 percent of the Middle East market share. We continued to improve our product and started working with an IBM Innovation Center back in 2013.

We recognized that incorporating AI capabilities could support additional use cases. 举个例子, using speech-to-text capabilities, Evidencer can help speed up immigration processes that require both audio transcription and translation. Using AI, Evidencer can provide translation in real time, shortening processes by several days and saving money.

Enhancing Evidencer through Watson Build

How did the Watson Build Challenge help you improve your solution?

We had a business plan and were deep into product development before Watson Build. Through the challenge, we integrated Watson APIs and drew from IBM technical resources. Our IBM mentor helped us address some of the small technical issues we encountered.

We also benefited from all the nontechnical assistance. We were amazed at the encouragement of IBM mentors and specialists who helped us present and promote our product. All aspects of product development and launch were covered—right down to the PR and marketing templates that IBM provided, which helped us promote Evidencer across media channels.

Overall, the Watson Build Challenge enabled us to showcase Evidencer on a global level that wouldn’t have been possible otherwise. IBM teams provided key insights into product development that made the product more market-ready. We were all working on the same goal—it was truly a “cognitive collaboration.” The ultimate experience was attending IBM Think 2018 and meeting “extended team members” in person.

为什么你的解决方案改变游戏规则?

Evidencer is a unique platform based on almost a decade of research and development. It can streamline previously time-consuming processes, help ensure fairness and potentially save lives.

By using machine learning and AI technologies, Evidencer can help judges, police officers, border security agents and members of city operations teams make smarter, faster decisions.

Going forward, do you anticipate working with other IBM Business Partners?

是. We plan to collaborate with other Business Partners in target regions to hone our go-to-market strategy. We’ve already begun implementing our product suite via connections with other IBM business partners across the Middle East and Africa regions who provide law enforcement, border security, court case management and smart city solutions.

We recently signed a MOU Agreement with one of the largest immigration departments in the Middle East for our Border Security AI system.

Advice for future participants

What advice would you give to companies considering participating in the Watson Build Challenge this year?

Understand that the competition is intense, but it’s a one-of-a-kind program that can unlock tremendous opportunities. Participants should have a strong business focus and a clear, easily understood plan. 还, keep the solution simple, integrating just one or two APIs. If participants put in the time, they can truly benefit from IBM resources and advance on their product journey.

更多的信息

谢谢, Shibi, for sharing your Watson Build experience! For those of you who want to learn more about SenzIT Evidencer, 请拜访: http://www.evidencer.us/

杰奎琳·伍兹 (@ jacwoods2020)
首席营销官, 全球商业伙伴, IBM

 

To learn more about more SenzIT AI & 认知解决方案, 访问: http://senzit.net/

杰奎琳·伍兹是首席营销官, IBM 的全球业务合作伙伴. 她开着围绕IBM的渠道业务的全球营销工作, 在IBM云和认知技术,专注于不断增长的贸易伙伴势头.

相关 文章

发表您的评论

您的电子邮件地址将不会发布. 标记必填的字段 *

名称 *

电子邮件 *

网站