New real-time AI platform announced at AI Africa Expo

With a Cape Town-based founder, Jay van Zyl, a United States start-up known as ecosystem.ai today launches its real-time, behavioural SaaS platform at the AI Africa Expo. The start-up specialises in machine learning, computational social science, and data science.

Now entering its fifth year, the AI Africa Expo is Africa’s largest business-focused artificial intelligence (AI), robotic process automation (RPA) and Fourth Industrial Revolution (4IR) trade event. It is scheduled for today and tomorrow in Johannesburg.

ecosystem.ai, based in Delaware, was previously only available to select enterprise clients. It is described as the first low-code platform to combine fully pre-configured behavioural algorithms with a powerful real-time scoring engine.

Designed to help companies provide highly personalised and relevant engagements and offers by continuously learning from real-time human interactions. The innovative SaaS solution provides endless opportunities to gain new knowledge, discover untapped markets, and deliver exactly what customers want, based on their actions in real-time.

“As we’ve moved into a far more digital world, human digital engagement needs to change. We need to find new ways of engaging with people and we need to do it more reliably and more specifically to focus on the individual,” says Van Zyl.

“And that’s something we’ve seen with our enterprise clients. We’ve seen how that’s transformed their real-time customer interventions and it’s led to significant business uplift and new revenue streams.”

According to Salesforce figures, 72% of consumers say they expect companies to understand their needs and expectations.

Human context and customer behaviours are constantly changing. So, it’s imperative that companies continuously learn and evolve with ever-changing behaviour in order to provide the personalized experiences that customers expect.

But continuous learning calls for an approach that goes far beyond the limitations of classical machine learning, which often uses frozen data sets. This can’t account for shifts in human behaviour or seasonal events after that point in time. Also, the technology and expertise to deploy predictions can be prohibitively expensive and complex for companies to implement on their own.

The ecosystem.Ai platform revolutionises this approach by providing the infrastructure, tooling, and pre-integrated technologies to create, test and deploy, rapid and scalable models to production.

Once deployed, real-time engines track feedback and engagement with easily configurable recommenders that are continuously running in production. Companies now have the capability to evolve with ever-changing human behaviour or sudden surges in popularity. They gain real-time insights, see trends or new segmentations as they unfold, and can take decisive action based on how customers respond to offers, messages, or engagements the moment they happen.

The platform is low code, integrates seamlessly into any environment and is designed to foster collaboration across all business units. Business users can create, monitor, and manage prediction projects to drive success.

Data scientists have access to a vast array of functions and enjoy the ease of data ingestion, viewing, enrichment, exporting and graphing all through one product interface. While technologists have code-based customizations that are flexible, and easy to implement and integrate.

To learn more about the platform and how it enables businesses to build real-time recommenders that continuously track human behaviour and provide highly personalised customer interactions, visit ecosystem.ai or click here to sign up for a free trial of the product.

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