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boost.ai Launches Test Studio for Smarter AI Agent Testing

boost.ai Launches Test Studio for Smarter AI Agent Testing

Martechvibe09-04-2025
Test Studio offers a simple, scalable toolkit that gives enterprises the validation they need to confidently deploy AI agents that work right from the start. Staff Writer 13 minutes ago
boost.ai announced the launch of Test Studio, a built-in studio to test and validate AI agent performance before enterprises deploy them in customer-facing applications.
Expanding beyond boost.ai's existing testing capabilities, Test Studio enables rigorous, scalable testing of predefined, generative, or hybrid conversation flows, helping businesses mitigate risk and ensure AI agent accuracy with confidence. With comprehensive evaluation and reporting tools, enterprises can proactively address potential concerns, tracking the performance of their AI agent through multiple test scenarios.
As AI adoption accelerates, customers expect higher-quality self-service and interactions. While enterprises are increasingly reliant on generative AI to meet these demands, successful deployment of scalable AI agents requires equally scalable testing. Test Studio solves this by providing automated testing and actionable insights, ensuring enterprises can retain the necessary quality assurance testing to deploy AI agents with confidence.
'AI agents are rewriting how enterprises deliver great customer service, but one fact remains. Trust is everything. Before ever interacting with a customer, businesses need to comprehensively test their AI agents for accuracy and reliability,' said Jerry Haywood, CEO of boost.ai. '
ALSO READ: Copado Expands Robotic Testing Solution For SAP, ServiceNow
Test Studio offers a simple, scalable toolkit that gives enterprises the validation they need to confidently deploy AI agents that work right from the start.'
Test Studio introduces the following three capabilities, designed specifically to address the challenges of testing AI agents: Automated Testing: Test Studio allows teams to run large-scale testing of AI agents automatically. This results in faster feedback loops, better quality assurance, and shorter time to market. By mimicking real customer interactions, enterprises can now quickly uncover jailbreak vulnerabilities, validate guardrails, and identify knowledge gaps before AI agent deployment.
Persona-Based Testing: By leveraging generative AI, Test Studio allows enterprises to automatically create dynamic test cases, simulating how different types of customers would interact with AI agents in different scenarios. This automated process improves test coverage while reducing blind spots.
Performance Tracking & Reporting: Measure the accuracy of your AI agent over time, gain actionable insights from every test, quickly identify areas for improvement, and easily share results with stakeholders. Test Studio streamlines AI evaluation with structured reporting, helping enterprises continuously refine performance.
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'Test Studio helps pave the way for scaling the use of Generative AI in customer interactions — from initial deployment of a use case to ongoing improvements across the board. With a consistent, repeatable process for both pre-deployment testing and regression testing, it helps build confidence among our leadership and supports the continued expansion of GenAI use cases,' said Alex Philbrook, Platform Owner at Sage, a boost.ai customer.
'Plus, the efficiencies gained from automated, repeatable testing free up our AI Trainers to focus on creating new journeys and experiences for our customers.'
The Martechvibe team works with a staff of in-house writers and industry experts.
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Neptune DXP is a PaaS(Platform-as-a-Service) provider, helping marketing teams build custom apps based on modular, reusable application building blocks. The company offers flexible environments to businesses across different verticals, further providing personalised digital solutions at scale.
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Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases.
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Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market.
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Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle.
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HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals.
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Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales.
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Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics.
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Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage.
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Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio.
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Data centre storage games: Winning the AI race
Data centre storage games: Winning the AI race

The National

time4 minutes ago

  • The National

Data centre storage games: Winning the AI race

The UAE is known for meeting ambitious development goals, and this certainly applies to the country's digital transformation and its goal of becoming an AI leader. The region, which appointed the world's first minister of AI in 2017 and established the world's first university dedicated to AI research in 2019, has attracted international interest, with initiatives such as the UAE-US AI Campus or the MGX Fund to mobilise up to $100 billion investment in AI infrastructure. When building these AI ecosystems, the focus is on generative AI models (GenAI), graphics processing units (GPUs), central processing units (CPUs), fast data storage, and highly skilled workers. However, fundamental IT infrastructures such as hard disk drive-based storage are often undervalued, even though they store huge unstructured data sets cost-effectively. To tap into the full potential of AI and keep the region at the forefront of technological advancements, regional CIOs and IT decision-makers need to look beyond processing power and rethink their storage approach to AI data workflows. The importance of HDDs for AI AI revolves around unstructured data — from ingestion and data preparation (including vectorisation, labelling) to training, interference, content generation and monitoring – and every step needs and creates more data. Given the global AI boom, the amount of information is exploding. According to IDC, the annual volume of data generated is expected to more than double to 527.5 zettabytes in 2029. To illustrate: if this data were to be stored on an HDD with 32 terabytes, 16.48 billion drives would be required. Stacked, they would build a 438.5km tall tower, stretching nearly eleven times around the Earth. To store this unimaginable amount, there is one technology that performs this task cost-effectively and energy efficiently while remaining powerful at scale. Maintaining a share of 80 per cent in the cloud by 2028, according to IDC, high-capacity HDDs with up to 32TB are becoming indispensable in AI data centres just like GPUs and CPUs. To fully enable effective storage systems for these data-hungry pipelines, IT decision makers and CIOs should consider: Highly Dense Architectures HDDs with innovations such as energy-assisted magnetic recording (EAMR), shingled magnetic recording (SMR), and helium-sealing are fuelling capacity increases without expanding the physical footprint of data centres. This saves on server racks or storage enclosures and can decrease cooling and power consumption costs. In fact, HDDs are approximately six times more cost-efficient than flash solutions. Moving from 26TB to 32TB drives to deploy one exabyte of storage, for example, can lead to 18.7 per cent fewer racks, 18.8 per cent fewer drives, and 18.8 per cent lower total power consumption, including a boost in cooling and power usage effectiveness. While results vary depending on workload requirements and setup, such efficiencies can reduce the total cost of ownership, helping IT teams meet performance demands without building more or bigger facilities and increasing costs. Energy efficiency and sustainability With AI systems scaling up, so does the environmental cost of working with unstructured data. Modern technologies consume enormous amounts of energy when processing and storing the constantly growing information volumes. According to current estimates, the electricity demand of data centres worldwide will more than double to around 945 terawatt hours (TWh) by 2030 – roughly equivalent to the total electricity consumption of the UAE between 2017 and 2023 (952 TWh). While this may sound bleak, it can be an opportunity to lead the way in sustainability and help meet regional net-zero targets. Again, HDDs can play a pivotal role in this transformation. To help reduce power consumption and emissions, IT decision makers must improve hardware efficiency. As high-capacity HDDs are the foundation of today's cloud environments, any effort to consolidate more capacity in the same 3.5in footprint can go a long way. Over the past years, HDD manufacturers have constantly innovated the technology to enable even lower energy use per TB (kW/TB). Drives from Western Digital with up to 32TB, for example, leverage the latest generation of HelioSeal technology. This innovation helps to reduce the total power consumption (including energy and cooling costs) of these HDDs by up to 28 per cent compared to standard air-filled drives. Ultimately, this can contribute to greater sustainability in the data centre and extend the hardware lifespan. Disaggregated storage In addition to HDD-based storage, disaggregated storage based on Non-Volatile Memory Express over Fabric (NVMe-oFTM ) is a transformative approach to modern data centres. The concept is no longer confined to hyperscalers; it's rapidly gaining traction to help support AI and accelerate workloads. Disaggregated infrastructures enable right-sized, independent scaling of compute, storage, and networking, eliminating the need for costly overprovisioning. Unlike traditional storage architectures that require adding entire servers when only one element needs expansion, disaggregated storage separates the GPU, CPU, and storage servers to better meet the different power, cooling, and space requirements. This gives customers better flexibility, unlocks further efficiencies, and lowers the overall TCO compared to tightly coupled HCI environments. The future of the UAE IT infrastructure is about building and using resources smartly. CIOs who embrace innovative HDD storage solutions and disaggregated storage architectures today will be best positioned to scale effectively without waste, unlocking the full potential of their AI investments for the future.

AI to help Abu Dhabi Police detect traffic violations, security threats
AI to help Abu Dhabi Police detect traffic violations, security threats

Khaleej Times

time34 minutes ago

  • Khaleej Times

AI to help Abu Dhabi Police detect traffic violations, security threats

From real-time detection of traffic violations to ChatGPT-like digital assistants, policing in the UAE capital will soon get an artificial intelligence (AI)-powered boost. A partnership agreement between the Abu Dhabi Police and big data analytics company Presight will help develop AI technologies for law enforcement. 'The main problems targeted include enhancing officer response speed, supporting smarter and faster decision-making, modernising investigative methods, and increasing the overall security of Abu Dhabi,' Mohammed AlMheiri, Chief Business Officer — Public Safety & Security, Presight, told Khaleej Times in an interview. 'While detailed KPIs are still under development, key indicators are likely to include improved emergency response times, measurable reductions in crime rates, (and) accuracy of real-time threat detection," he added. Intelligent systems will also enable digital forensics and predictive analytics. Major-General Nasir Sultan Al Yabhouni, Director of the Leadership Affairs Sector at Abu Dhabi Police, said, 'This collaboration supports our efforts to maintain public safety through innovation, which means strengthening our officers' ability to respond faster, make smarter decisions, and make Abu Dhabi a safer and more secure place.' A key part of the collaboration is Presight's AI-Policing Suite — a solution that leverages generative AI, AI agents, and advanced data analytics. It offers a 'unified ecosystem that consolidates diverse, multi-source data to empower officers with faster, more precise, and proactive policing capabilities,' according to AlMheiri. He explained its key features, among which are: Traffic control module: Real-time detection of traffic violations (speeding, red-light, illegal turns, helmet/seatbelt usage), incident monitoring, and congestion management. Law enforcement platform: With over 150 AI models, it enables intelligent search, profiling, relationship mapping, and predictive analytics to identify suspects and forecast crime hotspots. Detective assistant: It is powered by generative AI that interacts with investigators through natural, intuitive dialogue. IoT Intelligence: Leverages real-time sensor data across urban and public environments for anomaly detection, environmental monitoring (pollutants, smoke, vape), access control, intrusion detection, and audio threat recognition (glass breaking, gunshots, distress calls). Digital assistants 'Presight's AI agents and generative AI act as always-on digital assistants, empowering law enforcement with rapid data analysis, automated investigative support, and proactive threat identification. For example, an AI agent may synthesize evidence from multiple sources within seconds, or trigger alerts to officers about emerging risks in specific locations,' said AlMheiri. 'Real-world use cases include predictive policing for high-risk zones, AI-assisted evidence triage, and digital briefings for real-time operations.' The AI systems will be deployed in phases, starting with targeted use cases to allow for focused refinement. When asked how personal data will be handled and protected under the initiative, he explained: 'Our systems are designed with state-of-the-art security measures and strict data privacy protocols in line with UAE federal regulations and best practices.' The Abu Dhabi Police have been using AI to detect traffic violations for several years. In June, an Abu Dhabi Police official explained how artificial intelligence is already embedded in the emirate's traffic systems, and how it's reducing accidents before they happen. The force has previously highlighted how AI has helped reduce traffic offences in the UAE Capital.

HUMAIN deploys OpenAI's latest open-source models on Groq platform inside Saudi Arabia
HUMAIN deploys OpenAI's latest open-source models on Groq platform inside Saudi Arabia

Zawya

time34 minutes ago

  • Zawya

HUMAIN deploys OpenAI's latest open-source models on Groq platform inside Saudi Arabia

RIYADH — Saudi Arabia's HUMAIN has fully deployed OpenAI's new open-source models — gpt-oss-120B and gpt-oss-20B — on Groq's ultra-high-speed inference platform. The models are hosted within HUMAIN's sovereign AI data centers inside the Kingdom, ensuring full compliance with local regulatory and data sovereignty frameworks. The deployment delivers OpenAI's most advanced open-source capabilities to Saudi developers, enterprises, and public institutions, offering high-speed, low-latency inference while maintaining alignment with the Kingdom's legal and privacy standards. The gpt-oss-120B and gpt-oss-20B models offer unprecedented scale, 128K context windows, and built-in tools for real-time code execution and semantic search. Running at over 500 and 1,000 tokens per second respectively on Groq's infrastructure, they enable advanced reasoning and dialogue at previously unmatched speeds. 'This is a defining moment for Saudi Arabia,' said Tareq Amin, CEO of HUMAIN. 'By hosting the world's most powerful open models locally, we are enabling Saudi innovators to access frontier AI with full sovereignty. This is what AI leadership looks like.' Jonathan Ross, CEO of Groq, added: 'Groq was built to run models like this fast, affordably, and at scale. Our partnership with HUMAIN puts us at the center of one of the most ambitious AI ecosystems globally.' The announcement marks a new phase in the strategic collaboration between HUMAIN and Groq, first revealed in May 2025. It positions Saudi Arabia as a vital global corridor for AI innovation, linking compute, compliance, and capability across the GCC, the Levant, Africa, Asia, and beyond. By ensuring that all data and inference operations occur within national borders, the deployment empowers local institutions to adopt world-class AI without compromising on privacy, compliance, or latency. © Copyright 2022 The Saudi Gazette. All Rights Reserved. Provided by SyndiGate Media Inc. (

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