No-Code AI Can Speed Up Business

The growing engagement of business with Artificial Intelligence (AI) is very significant and many large companies have establishes dedicated teams to explore how they can incorporate the technology into their business models. 

At its core, AI aims to make decisions based on the data and modern companies generate vast amounts of data, representing a valuable opportunity to become resilient, avoid mistakes and more accurately address customers’ needs. 

With no-code AI, the goal is to enable businesses to turn data into actionable insights through predictive analytics within minutes rather than weeks or months. Software solutions typically work far faster than human data scientists, and can find connections they might not  see. That makes predictive analytics tools ideal for helping companies learn more about their customers, determine the best time to enter a new market, and reach other critical business goals.

Predictive analytics software turns data into insights companies can act upon, but not every solution fits each need.

In order for any company or organisation to realise the potential of AI, they'd traditionally need access to sophisticated toolsets. These toolsets require significant technical expertise on top of a solid software development foundation, which can make them seem inaccessible even for highly skilled developers who want to experiment with them on their own time.

Every business should have access to sophisticated machine learning technology although this does require a background in computer science or deep dive into complex documentation just to get started. In most cases third party platforms from specialst suppliers can be designed from day one with end-to-end scalability in mind, from rapid deployment times all the way through plug-and-play integration. 

No-code AI keeps things intuitive enough even for non-technical people (like product managers and salespeople) to add powerful machine learning capabilities directly into your marketing pipelines, CRM systems, customer service applications and more, instantly creating competitive advantages.

While these toolsets may be interesting for academic purposes, they don't provide practical value in most organisations. However, large tech firms like Google, Facebook, Microsoft and Amazon have thousands of engineers using these frameworks in multiple projects, where AI a key component of their innovation strategies.

CBInsights:       Venturebeat:       CIO Insight:      Inc.com:       Sitepoint:      The Scotsman:  

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