Don’t “reinvent” unless it’s necessary

Don’t “reinvent” unless it’s necessary

Companies will accelerate their usage of cloud-based artificial intelligence (AI) software and services. These technologies can help companies improve their operations, develop new innovative solutions and provide better customer service at lower costs.

However, many companies to date lack the experience and expertise to take design & deliver it right. It requires teams of business solution experts, AI analysts, access to large data sets and specialized infrastructure. All of this requires a level of investment and sophistication that takes time to develop, and is out of reach for many.

Broadly, there are 2 approaches enterprises resort to

1. Enterprise cloud software platform

2. Cloud-based AI development services

Enterprise cloud software platform

This method of adopting AI can have big advantages:

  1. Enterprises do not need to develop in-house AI capabilities
  2. AI simply runs in the background, making the software more valuable to the end customers by delivering significant ROI for the business.
  3. Companies do not need to develop new natural user interfaces. This can be a challenge for AI applications developed from scratch.

Cloud-based AI development services

These include services for creating new AI applications, selecting the right models, and for getting a head start on AI technologies such as natural language processing. Unlike enterprise software that has AI infused, AI development services require companies to have in-house technical talent, such as AI programmers and data scientists.

What enterprises can do to derive ROI?

  1. Follow AI trends - The market is changing rapidly, and new capabilities are emerging. Follow trends closely to experiment with these capabilities to leapfrog your rivals.
  2. Focus on the business need - Enterprises should understand which challenges AI can help them solve and how it can help solve them. This requires not only technical talent, but also folks who understand business needs.
  3. Don’t “reinvent” unless it’s necessary - Get what you can “off the shelf”. AI applications focus on specific business processes, whether home-grown or available from a vendor.

Confused about which approach to pick? Drop me an email at [email protected]. I am happy to answer any questions you might have in this space.

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