Discover the critical AI predictions for 2026 that will reshape how enterprises invest, govern, and scale AI.
Artificial intelligence has moved from experimentation to expectation, but the value isn’t landing as fast as many leaders hoped. According to the Forrester’s Predictions 2026: Artificial Intelligence, enterprises are entering a reality check phase where AI investments are scrutinized harder, governed more tightly, and expected to deliver measurable business outcomes.Â
Alarming gaps between ambition and impact are forcing CEOs, CFOs, and technology leaders to rethink how AI is funded, governed, and adopted at scale. From delayed budgets and finance-gated decisions to the rise of AI governance roles and mandatory workforce training, 2026 will mark a pivotal shift in how organizations operationalize AI responsibly and profitably.Â
Quinnox brings you key insights from this Forrester report to help you understand what’s changing and how to prepare your organization to succeed in the next phase of AI-driven transformation.Â
By investing in chaos engineering practices, organizations can ensure their software is more resilient, allowing customers to enjoy uninterrupted services and fostering business growth. Here are some key advantages of a well-managed chaos engineering practice:
Drive executive alignment with shared AI ownership across CEO, CFO, CIO, and risk leaders.
Enable smarter AI investments by anticipating budget scrutiny and finance-led approvals.
Set realistic AI ROI expectations by tying initiatives to measurable business outcomes.
Prepare leaders for stricter governance and regulation through compliance-ready AI operating models.
Scale AI adoption responsibly via workforce AI literacy and mandatory training.
Reduce risk and accelerate value by prioritizing responsible AI initiatives with clear, near-term impact.
Forrester report now to turn AI ambition into sustainable, measurable business value.
By investing in chaos engineering practices, organizations can ensure their software is more resilient, allowing customers to enjoy uninterrupted services and fostering business growth. Here are some key advantages of a well-managed chaos engineering practice:
Download this research report to get detailed insights on how D&A leaders can make sure their data is AI-ready:Â
How to align data to specific AI use cases.
How to identify data governance requirements for AI. How to build intelligence from good metadata management practice.
How to support the creation of an optimal AI model through the provisioning and delivery of optimal testing and validation of input data.
DISCLAIMER: GARTNER® is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. | REPORT CITATION: Gartner, A Journey Guide to Delivering AI Success Through ‘AI-Ready’ Data, Ehtisham Zaidi, Roxane Edjlali, Published 18 October 2024.