The strategic application of artificial intelligence (AI) has the potential to yield game-changing outcomes. However, AI adoption has increased nearly threefold since 2017, raising the chances of misaligned core technologies and AI initiatives. The analyst firm Gartner has been tracking AI trends and in November 2018 it identified five strategic planning assumptions for AI over the next several years.
Read the full report, “Predicts 2019: Artificial Intelligence Core Technologies.”
Strategic Planning Assumption #1:
Through 2023, computational resources used in AI will increase fivefold from 2018, making AI the top category of workloads driving infrastructure decisions.
Strategic Planning Assumption #2:
Through 2022, only 15 percent of use cases leveraging AI techniques — such as machine learning (ML) and deep neural networks (DNNs) — and involving edge and internet of things (IoT) environments, will be successful.
Strategic Planning Assumption #3:
Through 2022, over 75 percent of organizations will use DNNs for use cases that could be addressed using classical ML techniques.
Strategic Planning Assumption #4:
By 2023, 70 percent of AI workloads will use application containers or be built using a serverless programming model necessitating a DevOps culture.
Strategic Planning Assumption #5:
By 2023, 40 percent of infrastructure and operations (I&O) teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity with greater agility and scalability.
AI is currently one of the top five priorities for chief information officers (CIOs), and investments from C-level officers (CxOs) are high. Indeed, early-adopter trends indicate that AI can yield disruptive results. However, the success rate of AI projects is currently low.
To deliver successful AI initiatives, I&O leaders should: align infrastructure strategies with business use cases and requirements; hire expertise in newer tools and techniques, or retrain existing teams; standardize and broadly disseminate high-productivity techniques across the organization; and minimize time and cost overruns by using a combination of build, buy and outsource strategies, with mature tools and pre-integrated solutions.