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Cision Canada
2 days ago
- Business
- Cision Canada
"Who are my safest drivers?": Fleet managers turn to AI for safety insights
Geotab reveals the most common prompts submitted to its GenAI assistant, Geotab Ace ® - with safety the clear priority ATLANTA, June 3, 2025 /CNW/ - Geotab Inc. ("Geotab"), a global leader in connected vehicle and asset tracking solutions, has revealed the most common prompts in Geotab Ace, the company's Generative AI (GenAI) assistant for fleet managers, over the past 12 months. The top five prompts since Geotab launched the early adopter program for Geotab Ace in May 2024 include: Who are my safest drivers? Which drivers have the most improved safety record? Which drivers speed the most? What were my least utilized vehicles last month? List all devices not communicating The list reveals how safety is the top priority for fleet managers. The prompts also suggest that managers are not just identifying risk but actively tracking progress. This points to a coaching mindset over a punitive one, where the goal is to encourage safer behavior through regular feedback and recognition. The high frequency of safety-related questions also shows how important driver performance is to daily fleet operations. In May 2024, over 100 companies signed up to be part of the early adopter program to evaluate and provide feedback on Geotab Ace. The GenAI assistant, now used by over 1,500 companies, is capable of processing vast quantities of telematics data quickly, speeding up time to insight. "With Geotab Ace, we're seeing practical, immediate gains in productivity and insight," said Mike Branch, Geotab Vice President Data & Analytics. "What's striking is the quality of prompts - fleet managers are asking smart, targeted questions, and they're doing it confidently. That's only possible because Geotab Ace is built on a trusted, structured data foundation. This is a perfect example of where AI can be put to real use. It's not about replacing people; but rather equipping teams with better tools." "What's especially encouraging is how fleet managers are using GenAI to improve safety and driver wellbeing. They're asking not just who's underperforming, but who's improving, and that shows a real shift toward a supportive, coaching-based approach. That's the kind of progress we want AI to support." Complex questions, answered in seconds While many queries focus on daily fleet operations, some users are pushing Geotab Ace to handle highly specific, multi-part questions - combining logic, data conditions, and formatting requirements. These are not simple data pulls; they are complex, time-consuming analyses that would traditionally take hours to assemble manually. Examples include: Provide: total engine hours, idle hours, average fuel cost, and gallons/hour during idling — for all trucks Show seatbelt violations that occurred while vehicles were over 30mph Calculate November 2024 utilization per vehicle (driven >25 km/day = utilized). Return: Asset name, Days driven, Total days, Utilization % Find zone visits to "Zone X" that lasted more than 15 minutes in the last week Show dwell time in "[zone name]" ignoring departures under 15 minutes. Return: Vehicle name, date, enter/exit time, dwell time (EST, hh:mm) These kinds of requests show how quickly fleet managers are becoming confident in Ace's ability to handle more than surface-level queries. They're starting to rely on it for deeper insights, without needing to write a line of code. This focus on safety, particularly the emphasis on identifying and improving driver performance, aligns with urgent broader industry challenges and evolving driver needs. A recent Geotab survey revealed that 68% of North American drivers surveyed, and 69% of European drivers surveyed expressed support for new technology to help improve their overall driving performance, validating Geotab's proactive approach to leveraging innovation for enhanced safety and driver welfare. Geotab Ace offers ultimate privacy and security In a data-driven age, information integrity and security remain a critical priority. Designed with a commitment to privacy and security protocols, Geotab Ace user data is safely handled within Geotab's own secure environment, reinforcing trust and safeguarding the value of the insights delivered. In line with its launch of Geotab Ace, the company released its Responsible AI Guide, highlighting the unique challenges posed by the development of the model and how Geotab mitigated and learned from them. For additional details on Geotab Ace and the Early Adopters Program, please visit About Geotab Geotab is a global leader in connected vehicle and asset solutions, empowering fleet efficiency and management. We leverage advanced data analytics and AI to transform fleet performance, safety, and sustainability, reducing cost and driving efficiency. Backed by top data scientists and engineers, we serve over 55,000 global customers, processing 80 billion data points daily from more than 4.7 million vehicle subscriptions. Geotab is trusted by Fortune 500 organizations, mid-sized fleets, and the largest public sector fleets in the world, including the US Federal Government. Committed to data security and privacy, we hold FIPS 140-3 and FedRAMP authorizations. Our open platform, ecosystem of outstanding partners, and Marketplace deliver hundreds of fleet-ready third-party solutions. This year, we're celebrating 25 years of innovation. Learn more at and follow us on LinkedIn or visit Geotab News and Views. ©2025 Geotab Inc. All rights reserved. All trademarks property of their respective owners in Canada and other countries. Geotab, the Geotab logo and Geotab Ace are trademarks and/or registered trademarks of Geotab Inc. and/or its affiliates. All other trademarks are the property of their respective owners. SOURCE Geotab Inc.
Techday NZ
22-05-2025
- Business
- Techday NZ
Google unveils Gemini 2.5 updates for enhanced AI on Vertex
Google has introduced enhancements to its Gemini 2.5 Flash and Pro AI models, expanding capabilities on the Vertex AI platform for organisations seeking more sophisticated and secure AI-driven applications. The latest updates to Gemini 2.5 Flash and Pro models focus on three principal areas: providing more transparent reasoning with 'thought summaries', introducing a new Deep Think mode for advanced problem solving, and strengthening protection against indirect prompt injection attacks. The 'thought summaries' feature is designed to improve clarity and auditability of enterprise AI systems. It systematically organises a model's raw thoughts, including key details and tool usage, into a clear format. The company said this would allow customers to validate complex AI tasks, ensure alignment with business logic, and simplify debugging processes. The aim is to build systems that are more trustworthy and dependable, addressing a key challenge in enterprise-scale AI deployments. For complex use cases such as mathematics and programming, Gemini 2.5 Pro is introducing an enhanced reasoning mode called Deep Think. This feature enables the model to consider multiple hypotheses simultaneously before producing a response. Utilising new research techniques in parallel thinking, Google intends for this to help in highly complex scenarios. Gemini 2.5 Pro Deep Think will initially be available to trusted testers via Vertex AI. Security remains a priority with the updated models. Google has increased Gemini's protection rate against indirect prompt injection attacks during tool use, aiming to make it more suitable for enterprise adoption where security compliance is often critical. The company describes Gemini 2.5 as its most secure model family to date. Gemini 2.5 Flash will become generally available on Vertex AI in early June, with Gemini 2.5 Pro to follow soon after. Google asserts that these updates will have a tangible impact on business operations, from streamlining processes to improving customer engagement. Enterprise users have reported efficiencies using Gemini 2.5 on Vertex AI. Mike Branch, Vice President Data & Analytics at Geotab, commented on the balance between performance and efficiency: "With respect to Geotab Ace (our data analytics agent for commercial fleets), Gemini 2.5 Flash on Vertex AI strikes an excellent balance. It maintains good consistency in the agent's ability to provide relevant insight to the customer question, while also delivering 25% faster response times on subjects where it has less familiarity. What's more, our early analysis suggests it could operate at potentially 85% lower cost per question compared to the Gemini 1.5 Pro baseline. This efficiency is vital for scaling AI insights affordably to our customers via Ace." Gemini 2.5 Pro is positioned as the most advanced model for more intricate enterprise requirements. In addition to Deep Think, it introduces features such as configurable Thinking Budgets, supporting up to 32,000 tokens of processing for finer control over resource allocation and more complex tasks. Yashodha Bhavnani, Vice President of AI Product Management at Box, described Gemini 2.5 Pro's role in addressing unstructured data: "Box is revolutionising how enterprises interact with their vast, and rarely organised, amounts of content. With Box AI Extract Agents, powered by Gemini 2.5 on Vertex AI, users can instantly extract precise insights from complex, unstructured content – whether it's scanned PDFs, handwritten forms, or image-heavy documents. Gemini 2.5 Pro's advanced reasoning makes it the top choice for tackling complex enterprise tasks, delivering 90%+ accuracy on complex extraction use cases and outperforming previous models in both clause interpretation and temporal reasoning, leading to a significant reduction in manual review efforts. This evolution pushes the boundaries of automation, allowing businesses to unlock and act upon their most valuable information with even greater impact and efficiency." Diverse organisations, including LiveRamp, are looking to Gemini 2.5 to broaden data-driven capabilities across business lines. Roopak Gupta, Vice President Engineering at LiveRamp, said: "With its improved reasoning capabilities and insightful responses, Gemini 2.5 provides tremendous potential for LiveRamp. Its advanced features can enhance our data analysis agents and add support across our product suite, including segmentation, activation, and clean room-powered measurement for advertisers, publishers, and retail media networks. We are committed to assessing the model's impact across a wide array of features and functionalities to ensure our clients and partners can unlock new use cases and enhance existing ones." Members of the Google Developer Experts community have also begun building new solutions using Gemini 2.5's enhanced context and reasoning features. Recent examples include a persona-based news recommender for supply chain analysts, a disaster preparedness app that delivers personalised guidance from weather data, and a GitHub Action that automates pull request reviews to identify errors and inconsistencies early in the software development process. These developments highlight the ongoing efforts by Google to expand the enterprise and developer capabilities within Vertex AI as businesses continue adopting artificial intelligence for a range of applications.
