New Delhi: Google has unveiled Canvas in AI Mode, a groundbreaking feature within its Search ecosystem that offers users a dedicated workspace to streamline ideas, develop projects, and create interactive tools powered by artificial intelligence. Currently available in English for U.S. users, Canvas aims to facilitate various tasks such as document writing, coding, project planning, and information tracking directly through Search.

Canvas provides a dynamic workspace where ideas can evolve, allowing users to refine their projects rather than relying on isolated responses. The tool proves highly beneficial for creative writing and coding, enabling individuals to craft customized applications, dashboards, or documents seamlessly within the Search interface.

To utilize this feature, users simply select the Canvas option from the AI Mode tool menu, articulate their project idea, and the system generates a prototype in a side panel. Leveraging data from the web and Google’s Knowledge Graph, Canvas populates the workspace with essential information, allowing users to test functionality, scrutinize the underlying code, and iteratively refine their projects through conversational prompts.

Early adopters have already harnessed Canvas to develop tools such as dashboards that monitor academic scholarship opportunities, detailing application deadlines, eligibility criteria, and funding information.

Google markets Canvas as a productivity-enhancing tool that redefines search queries into ongoing projects. This innovation is expected to promote activities such as research, exam preparation, trip planning, and project management, while empowering users to create bespoke interactive tools within the Search environment.

Brazilian airline Azul, which made notable progress in harnessing machine learning for maintenance prior to its Chapter 11 filing in May 2025, is eager to resume this initiative following a successful restructuring that concluded on February 20, 2026. With $850 million in new investments, including significant contributions from United and American Airlines, Azul aims to enhance operational efficiency through AI applications.

Azul's director of planning and revenue, André Américo, highlighted the airline's significant advancements in predictive maintenance. They transformed their operational capabilities to identify potential aircraft on ground (AOG) situations weeks in advance, thereby reducing unexpected groundings caused by component failures. This proactive approach allowed Azul to predict and avert 150 potential failures each month, resulting in fewer flight cancellations and improved aircraft availability—contributing an impressive $6 million in weekly revenue gains.

The airline's AI project focused on digitizing maintenance logs and utilizing language models to analyze aircraft performance data, uncovering crucial insights that were previously unnoticed. This predictive maintenance strategy not only saved valuable engine resources by optimizing fleet performance but also led to more efficient scheduling and reduced aircraft downtime.

Post-restructuring, Américo plans to delve deeper into the interplay between scheduled maintenance and AOGs, aiming to find the optimal balance to minimize aircraft downtime. By fostering collaboration across different departments and leveraging data from aircraft and component manufacturers, Azul hopes to further enhance its operational strategies. The collaboration with technology partner AE Studio has proven pivotal, encouraging a culture of learning and optimization that is essential for sustaining their momentum in AI-driven advancements.

Orion has successfully elevated its in-house AI integration platform, Denali AI, from beta to an enterprise-level service, announced at the firm’s annual Ascent conference in San Diego. Denali AI is designed for advisory firms, offering a user-friendly screen prompt that aggregates data from diverse systems like portfolio management, financial planning, and customer relationship management.

Reed Colley, president of Orion Advisor Technology, highlighted the impressive speed of Denali AI's development, particularly in enhancing security measures, thanks to Orion's internal AI utilization. Colley stated that the automated data pipeline integrates information from various external systems into Orion’s data lake significantly faster than before, enhancing operational efficiency.

Denali AI will soon be available as mobile and tablet applications offered for a flat monthly subscription, with pricing tailored based on actual usage. The tool aims to streamline processes for advisors of all sizes by revealing crucial client data that is often obscured within systems. Colley emphasized the daily discovery of new use cases for transforming operational workflows through AI.

The platform also features initial capabilities like the Report Assistant, which drafts client-ready reports, and Query Studio, enabling operations teams to extract data using plain-English queries, thereby reducing administrative workloads. Furthermore, Orion is collaborating with Anthropic to ensure Denali AI is compatible with existing AI systems used by advisory firms.

As Orion continues to build out its wealthtech ecosystem—including over $5.8 trillion in assets under management—it envisions a future in which its AI agents converges into a cohesive, unified offering, greatly enhancing advisors' efficiency and effectiveness.

Epicflow Begins Enterprise Testing of AI-Powered Portfolio Optimizer in Mission-Critical Environments

Amsterdam, Netherlands, February 25, 2026 -- Epicflow has launched testing for its AI-driven Project Portfolio Optimizer (EPO) in complex enterprise settings, marking a key step in supporting organizations to expedite large-scale programs effectively.

Organizations across Europe are navigating mounting pressures to enhance the delivery of intricate projects. Despite increased budgets, many program leaders face challenges like missed deadlines and overstretched teams. According to Epicflow experts, the underlying issue lies not in funding but in the scarcity of skilled resources.

“The real bottleneck faced by enterprises is no longer budget, but scarce expertise,” said Dr. Ir. Albert Ponsteen, co-founder of Epicflow. EPO addresses this challenge by prioritizing and sequencing projects based on their value relative to constrained resource hours. Instead of encouraging a higher workload, EPO helps leaders concentrate on initiatives that maximize measurable impact, utilizing existing resources efficiently.

In high-stakes environments, delays can have dire consequences. EPO aims to alleviate systemic overload, enhance predictability, and speed up delivery without necessitating additional hires. Ben Rawson, a portfolio management professional at Epicflow, highlighted the transformative nature of EPO, which shifts organizations from static planning to dynamic, data-driven optimization. This approach offers leaders clear visibility into trade-offs, enabling them to prioritize high-value projects effectively.

Currently being tested with aerospace and defense sectors, early results indicate substantial performance gains, reduced lead times, and expedited completion of high-value projects. “There should be a fundamental shift in program management: from ‘doing it all’ to focusing on what is truly important,” concludes Dr. Ponsteen. “EPO facilitates this shift and enhances delivery performance.”

Epicflow, founded in 2017, specializes in enterprise project and portfolio management solutions tailored for resource-constrained environments.