The International Data Corporation, IDC, has predicted that by 2022, 75% of enterprises will embed intelligent automation into technology and process development, using Artificial Intelligence-based software to discover operational and experiential insights to guide innovation.
And by 2024, AI will be integral to every part of the business, resulting in 25% of the overall spend on AI solutions as “Outcomes-as-a-service” that drive innovation at scale and superior business value. AI will become the new UI by redefining user experiences where over 50% of user touches will be augmented by computer vision, speech, natural language and AR/VR. Over the next several years, we will see AI and the emerging user interfaces of computer vision, natural language processing, and gesture, embedded in every type of product and device.
Emerging technologies: IDC further predicted that by 2021, 15% of customer experience applications will be continuously hyper personalized by combining a variety of data and newer reinforcement learning algorithms.
IDC predicts that by 2022, possibly as a result of a few high-profile PR disasters, over 70% of G2000 companies will have formal programs to monitor their ‘digital trustworthiness’ as digital trust becomes a critical corporate asset.
In 2020, senior executives like chief data and analytics officers (CDAOs) and CIOs who are serious about AI will see to it that data science teams have what they need in terms of data.
The real problem, says Forrester in a report earlier, is “sourcing data from a complex portfolio of applications and convincing various data gatekeepers to say yes.”
Thus, IDC observes that “effective use of intelligent automation will require significant effort in data cleansing, integration, and management that IT will need to support. Resolving past data issues in legacy systems can be a substantial barrier to entry, particularly for larger enterprises.”
AI adoption is not consistent across all companies and we are seeing a new digital divide, a divide between the AI haves and the AI have-nots, those with or without the required highly-skilled engineers.
Pairing human-centered design skills and AI development capabilities will be key. As for the rest of the workforce, by 2024, 75% of enterprises will invest in employee retraining and development, including third-party services, to address new skill needs and ways of working resulting from AI adoption, predicts IDC.
What constitutes “the workforce” will continue to expand and IDC predicts that the IT organization will manage and support a growing workforce of AI-enabled RPA bots as intelligent automation scales across the enterprise.
Another addition to the workforce will an army of chatbots, assisting with a variety of tasks in the enterprise.
Where the work is done will also continue to expand. As compute power moves from the datacenter to the edge, says IDC, IT will be challenged to manage and control edge processing devices.
By 2023, nearly 20% of servers that process AI workloads using AI-optimized processors and co-processors will be deployed at the edge. And by 2025, 50% of computer vision and speech recognition models will run on the edge (including endpoints).
AI will be here, there, and everywhere, and IDC estimates that by 2025, at least 90% of new enterprise application releases will include embedded AI functionality.
However, adds IDC, truly disruptive AI-led applications will represent only about 10% of this total.