AI and automation aren't quick wins. Invest anyway.

CIOs must recalibrate their priorities and invest in fundamentals, such as training employees, in order to drive business results with automation and AI.
Written by Forrester Research, Contributor

Automation, AI, and robotics have risen to the top of the CIO agenda, but the road to realizing business value with these technologies is long and winding. Organizations that succeed with these technologies make numerous investments in prerequisites, which Forrester encapsulates in a model called RQ, the Robotics Quotient.

Also: 10 ways AI will impact the enterprise in 2018 TechRepublic

As CIOs navigate through the challenges of automation, AI and robotics, Forrester identified several common situations that enterprises find themselves in today:

  • Over-invested in moonshots, leading to failure. Particularly with AI, some organizations have set their sights on grand ambitions, but underestimated the length of time, monetary commitments, and patience required to realize them. If a healthcare organization sets out to "cure cancer," they would need to plan for a vast time horizon to even gain initial results, for example.
  • Focus on narrow, well-specified problems, heightening chances of success. While AI and automation aren't quick wins, companies that attack focused problems can drive business results today. This means tackling a discrete workflow; for example, applying AI to improve the accuracy of medical imaging rather than trying to "cure cancer."
  • Address real-time, insights-driven, customer-obsessed actions, with a chance for success. The balance between these two approaches is to attack problems that are solvable but ambitious, providing real-time, insights-driven, and customer-obsessed actions. Real-time insights and actions are well-suited to automation: Intelligent machines can aggregate and analyze data at speeds humans could never approach, allowing CIOs and business partners to radically compress time frames in operations and customer engagement alike.

Also: AI means a lifetime of training CNET

To prepare their organizations for the long-term challenges and opportunities, CIOs must re-calibrate their priorities and invest in fundamentals. For example, only about 1 in 5 CIOs say that "increasing top-line revenue" should be a driver of their adoption of automation technologies, but generating true value in this space requires far more than cost-cutting. And investing in RQ fundamentals -- from training employees to creating new organizational structures to budgeting -- can help any company be more successful driving business results with automation and AI.

-- By J.P. Gownder, vice president, principal analyst

To learn more on how to strategically capitalize on emerging technologies, click here.

This post originally appeared here.

Best gifts for co-workers under $50 on Amazon

Previous and related coverage:

What is AI? Everything you need to know

An executive guide to artificial intelligence, from machine learning and general AI to neural networks.

What is deep learning? Everything you need to know

The lowdown on deep learning: from how it relates to the wider field of machine learning through to how to get started with it.

What is machine learning? Everything you need to know

This guide explains what machine learning is, how it is related to artificial intelligence, how it works and why it matters.

What is cloud computing? Everything you need to know about

An introduction to cloud computing right from the basics up to IaaS and PaaS, hybrid, public, and private cloud.

Related stories:

Editorial standards