Gartner's top data and analytics predictions for 2019
Predictions about data and analytics strategy
* By 2022, 30 percent of CDOs will partner with their CFO to value the organization’s information assets for improved information management and benefits.
* By 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions.
* By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80 percent of data and analytics strategies and change management programs.
* By 2023, 60 percent of organizations with more than 20 data scientists will require a professional code of conduct incorporating ethical use of data and AI.
Predictions about analytics and BI solutions
Predictions about digital ethics, policy and governance
* By 2022, 30 percent of organizations will use explainable AI models to build trust with business stakeholders, up from almost no usage today.
* By 2023, over 75 percent of large organizations will hire AI behavior forensic, privacy and customer trust specialists to reduce brand and reputation risk.
Predictions about data management solutions
* By 2022, 50 percent of cloud buying decisions will be based on the data assets provided by cloud service providers rather than on the product capabilities.
* By 2022, organizations utilizing active metadata to dynamically connect, optimize and automate data integration processes will reduce time to data delivery by 30 percent.
* By 2023, AI-enabled automation in data management will reduce the need for IT specialists by 20 percent.
* By 2023, 75 percent of all databases will be on a cloud platform, reducing the DBMS vendor landscape and increasing complexity for data governance and integration.
Predictions about core technologies supporting AI
* Through 2022, more than 75 percent of organizations will use DNNs for use cases that could be addressed using classical ML techniques.
* Through 2023, computational resources used in AI will increase five-fold from 2018, making AI the top category of workloads driving infrastructure decisions.
* By 2023, 70 percent of AI workloads will use application containers or be built using a serverless programming model, necessitating a DevOps culture.
* By 2023, 40 percent of infrastructure and operations teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity with greater agility and scalability.