Category technology

GURUGRAM, India , September 18, 2025:  Samsung, India’s largest consumer electronics brand, has launched its Bespoke AI Washer Dryer, an innovation that integrates intelligent performance with timeless design. The Bespoke AI Washer Dryer aims to deliver an all-weather laundry care that transforms everyday laundry by washing and drying clothes seamlessly, and fits effortlessly into the modern urban spaces.

It is designed to do the job of two appliances in one sleek unit. It washes and dries clothes without the need for load transfer, saving both space and effort. For urban households where every square foot counts, this all-in-one design eliminates the need for separate machines, streamlining laundry into a single, hassle-free cycle that ends with clothes ready to wear.

Beyond its striking looks, the new combo offers generous capacity and AI-powered intelligence, ensuring larger loads are managed with ease while simplifying decision-making for users. The range reflects a growing demand for appliances that balance convenience, efficiency, and style, delivering not just cleaner and fresh clothes, but a smarter way of living. 

Here are top 5 Reasons to upgrade to Samsung’s Bespoke AI Washer Dryer, today:

AI-Driven Features for Seamless Chores

Built with Samsung’s intelligent features, the washer dryer takes the guesswork out of everyday laundry. AI Wash uses sensors to detect fabric weight, softness, and the level of soiling and washes them thoroughly and gently.  The Flex Auto Dispense  releases the right amount of detergent, avoiding wastage and ensuring perfect results. 

AI EcoBubble™ helps with better detergent penetration delivering better wash results. The  AI Energy Mode helps save up to 70% energy via the SmartThings app. Together, these features save time, reduce effort, and create more free moments for families.

Designed to Blend with Modern Living

With its flat-glass finish, minimalist contours, and premium Black Bespoke aesthetic, the washer dryer is built as much for interiors as it is for performance. Unlike traditional bulky machines, it blends effortlessly into compact homes. For new-age families that view appliances as part of their décor, this is laundry reimagined with design at the forefront.

Offering a Capacity That Complements Families

Despite its compact design, the appliance offers 12KG wash and 7KG dry capacity, making it easier to handle bulkier items like blankets, sarees, and curtains in one go. This means fewer wash loads and less time spent managing laundry.

Elevate balcony aesthetics and say goodbye to air drying

Engineered for compact new-age homes, where space is precious and design matters, the new washer dryer is a two-in-one solution that saves space and frees your balcony from clotheslines, and blends seamlessly with contemporary interiors. It reduces reliance on traditional air-drying while restoring your balcony’s aesthetics.

 Delivering Hygiene and refresh for clothes

Ideal for delicate fabrics, outfits that have been worn only once or clothes that need a refresh, the Air Wash function refreshes clothes and removes up to 99.9% of bacteria and deodorizes them using only heated air; no water, no harsh chemicals; making it a perfect choice for  quick gentle care that keeps your clothes fresh and ready to wear . 

Combined with features like Super Speed with QuickDrive™ and Q-Bubble™ technology, which cut down cycle time and enhance wash performance, the Bespoke AI Washer Dryer ensures laundry is not just clean but truly cared for.

By – Venkataraman D, Vice President – Sales & Strategy Crayon Software Experts India

In the digital economy, the real differentiator is not how much cloud an organization consumes, it is how quickly that cloud spend translates into innovation. Businesses that once measured success by the size of their data centers now measure it by how seamlessly they can launch new products, harness AI, and pivot to customer needs in real time. Managed cloud services are emerging as the quiet engine behind this shift, transforming cloud from a cost centre into a strategic springboard for growth, resilience, and competitive advantage.

The Problem Organizations Face Today

Cloud adoption is growing fast and so is its complexity. As organizations scale workloads across multiple providers, cost drift, governance gaps, and security blind spots multiply. The Flexera 2025 State of the Cloud report shows cloud spend is rising and cost efficiency has become the dominant success metric indicating that firms are increasingly prioritizing FinOps and cost governance to avoid runaway bills. That rising complexity is the fundamental constraint holding innovation back.

Why Managed Cloud Services Matter

Managed cloud services act as a force multiplier. Instead of internal teams being consumed by patching, provisioning, and firefighting, MCS providers deliver repeatable operational excellence from continuous optimization and security to platform engineering and FinOps. This creates three practical advantages:

Predictable Cost and Better ROI

Managed providers standardize platform deployments, apply proven cost controls and FinOps practices, and reduce waste. Flexera’s research highlights that organizations are actively focusing on cost efficiency and FinOps to measure cloud progress, a clear signal that third-party expertise in cost management is now a business imperative.

Faster Access to Innovation

MCS providers provide prebuilt platform services, CI/CD pipelines, and guardrails that let product teams iterate quickly. With managed platforms handling reliability, scaling, and compliance, internal engineering can focus on differentiating features (including AI/ML workloads) rather than infrastructure plumbing. IDC’s market outlook underscores growing enterprise demand for managed cloud services as organizations transition from lift-and-shift to outcome-driven cloud consumption.

Improved Resilience and Security Posture

Managed providers embed operational best practices such as automated backups, disaster recovery runbooks, vulnerability management and continuous monitoring so that businesses get enterprise-grade resilience without hiring large specialist teams. MSP industry surveys show that many organizations already rely on MSPs for core IT functions and cybersecurity, reflecting trust in third-party operations to maintain uptime and security.

Adoption, Scale and Economic Signals

Several industry signals show MCS is becoming central to IT strategy. Global IT spending is forecast to rise, creating headroom for cloud and managed services investments; Gartner estimated worldwide IT spending growth trends that point to increased allocations for cloud transformation. These macro trends fuel demand for external expertise to convert spending into business outcomes.

IDC’s managed cloud services forecasts show the market expanding as enterprises prefer managed consumption models for complex, multi-cloud estates rather than trying to do everything in-house. KPMG’s industry guidance and recent industry studies indicate a majority of organizations, in many cases around or above 60%, are using managed services for application management or relying on MSPs for substantial parts of their SaaS and cloud operations, demonstrating that managed models are already mainstream for mission-critical workloads.

How Managed Cloud Services Future-Proof the Organization

• Future-proofing is more than just predicting the next platform, it is about building adaptability. MCS providers deliver that adaptability through:
• Operational maturity and automation: Standardized IaC, SRE runbooks, and automated observability take the risk out of scale and speed.
• FinOps and cost governance: Continuous optimization reduces wasted spend and reclaims budget for innovation. Flexera’s 2025 insights make clear that cost efficiency is the primary yardstick for cloud progress.
• Secure-by-default architectures: Embedding zero-trust, automated patching, and threat detection into managed platforms reduces exposure and speeds compliance. MSP surveys continue to list cybersecurity as a top driver for outsourcing.

Platform-centric delivery: By giving development teams self-service access to well-governed platforms, organizations combine developer velocity with enterprise controls facilitating a prerequisite for rapid AI/ML experimentation and product differentiation.

In conclusion, managed cloud services are no longer a tactical outsourcing decision; they are a cornerstone of modern business strategy. By entrusting operational complexity, cost governance, and security to specialized partners, organizations gain the freedom to accelerate innovation and focus on customer outcomes. In a marketplace defined by rapid technological shifts and rising expectations, this model delivers the adaptability and resilience needed to thrive. The companies that act now will not simply “keep up” with change but will set the pace for their industries.

Mumbai, September 18, 2025 — Enlite, the design-led, product-first company transforming how  buildings are run, announced that it has been granted its first patent: “A Building Management System for  Wireless Control of Equipment and a Method Thereof.” 

The patent marks a major milestone in Enlite’s mission to make the built environment intelligent by  default. The innovation eliminates the rigid, decades-old approach of wired systems and introduces a  wireless, self-commissioning, cloud-connected building management system (BMS) – a breakthrough  that enables real-time control, autonomous decision-making, and seamless operation, both online and  offline. 

At its core, the patented system features: 

• A self-commissioning controller unit for plug-and-play equipment control. 
• A communication module for secure cloud connectivity and real-time processing. 
• A mirrored control algorithm stored onboard for uninterrupted operations in offline mode. ● A feedback module ensuring safe, efficient, and optimized equipment performance. 
• A device discovery module that enables automatic detection of new devices for faster  deployment. 

Garima Bharadwaj, Co-Founder & CTO of Enlite, said: “For a long time, building automation was  treated as a black box—expensive, rigid, and something you had to simply trust without questioning. With  this patent, we’ve not only reimagined how infrastructure can be wireless and adaptive, but we’ve also  brought credibility to a space where trust in technology was missing. It’s a win not just for Enlite but for  the industry, proving that smarter systems can also be reliable and future-ready.”

Gaurav Bali, Co-Founder & CEO of Enlite, added: “Innovation in our space has often been about  promises rather than proof. Securing this patent is validation that our approach is different—it’s not just  an idea, it’s a tested and protected technology that’s already delivering measurable impact. From  eliminating thousands of kilometres of wiring to reducing carbon emissions at scale, this milestone  reinforces that wireless, intelligent systems are not just possible, they’re here, and they’re changing how  buildings are run.” 

The newly granted patent not only strengthens Enlite’s IP portfolio but also enforces its leadership in  wireless, API-first automation systems that define how the real estate industry approaches  sustainability, scalability, and occupant experience.

Porto, September 17, 2025 – Comau presented its vision on the strategic use of Artificial Intelligence (AI) in the manufacturing sector at ETFA 2025, the 30th edition of the IEEE International Conference on Emerging Technologies and Factory Automation, held from September 9 to 12 in Porto, Portugal. This internationally renowned event brought together experts, companies, and industrial operators to share innovative solutions and challenging projects in the field of factory automation, with a strong focus on enabling technologies.

As part of a packed program of events, Giovanni Di Stefano, Head of Advanced Robotics at Comau, spoke at the event on September 12, giving a presentation on “Industrial Heritage For Training Advanced Robotics Neural Networks,” in which he outlined Comau’s commitment to developing intelligent applications based on machine learning to optimize the efficiency of robotic plants and automation systems.

As Di Stefano explained, in an industrial landscape characterized by the large-scale use of Artificial Neural Networks aimed at multiplying human skills and optimizing processes, Comau’s strength lies in its ability to leverage unique skills and knowledge to develop customized AI models tailored to the specific technical needs of its customers, both old and new, across all sectors, not just the automotive industry. This is possible thanks to Comau’s more than 50 years of experience in industrial automation, an experience that has already been largely digitized thanks to many years of experience in PLM (Product Lifecycle Management) systems, and the resulting availability of a large archive of industrial data that has enabled it to train neural networks on real use cases to manage complex industrial applications.

Comau is currently experimenting with the use of AI to enhance innovative technologies and applications in various sectors. In particular, the company has developed proprietary intelligent tools to calculate the actual stiffness of robot joints in order to ensure better movement quality. AI algorithms have also been used to automatically design robotic welding gripper arms more quickly and accurately, reducing design costs and time. Another successful example is the MI.RA (Machine Inspection Recognition Archetypes) family of intelligent vision systems, specifically MI. RA/OnePicker, an AI-based solution that allows robots to autonomously pick up generic and heterogeneous objects in the environment, increasing productivity and efficiency. Added to this is MI.RA/Thermography, an innovative in-line quality verification and control system that uses AI to verify the quality of welding processes in the assembly of new-generation batteries.

“It was an honor to participate as a speaker at ETFA 2025, an event of great importance in the global debate on technological innovation and the use of intelligent solutions for industry,” explained Giovanni Di Stefano, Head of Engineering Advanced Robotics at Comau. “Thanks to customized AI tools, automation companies such as Comau can gain significant competitive advantages in the market, improving productivity and processes without having to resort to developing new and expensive algorithms. We believe that the use of AI is not a risk for the future of the industrial system but a decisive business opportunity. It allows us to leverage a wealth of data, acquired over many years of activity, to train proprietary AI models through specific and consolidated skills, which are essential for making our technologies increasingly advanced and improving customer productivity in a variety of applications”.

Delhi,17 september 2025: Motorists using automated driving systems overestimate their situation awareness and readiness to respond but are slower to recognise hazards compared with active “hands on” driving, a new study from Macquarie University shows. The findings, published in the journal Applied Ergonomics, raise significant concerns about driver performance and road safety as increasingly advanced automation systems are integrated into new vehicles, the authors warn.

Researchers from Macquarie’s Performance and Expertise Research Centre studied participants who used a sophisticated simulator to “drive” about six kilometres in automated and non-automated driving modes, asking them to rate their situation awareness and measuring their responses to hazards. Surprisingly, drivers under automated driving conditions self-reported higher levels of situation awareness than those actively driving in non-automated mode. However, they also demonstrated significantly poorer hazard recognition compared to those participants in non-automated driving conditions, taking a longer driving distance to react to both anticipated hazards (such as another vehicle with its turning indicators on) and surprise hazards (such as a pedestrian emerging suddenly from behind a sign). Globally, there are approximately 54 million automated cars, which is expected to grow to 80 million units worldwide, and in India, there are 1.2 million units, and the number is expected to grow to 4.5 million by the year 2030.

Shedding a little light on the psyche of the drives, Mr. George Nasser, the researcher, said, “This paradox is an example of what we call the ‘out-of-the-loop’ phenomenon. When they’re relieved of responsibility for control, and as their trust in the vehicle increases, drivers tend to pay less attention to monitoring what the automated systems are doing. Under these conditions, the driver’s situation awareness declines and so does their ability to get back ‘in the loop’ and take control should they need to in the event of a hazard or malfunction.”

The disconnect researchers found between drivers’ perceptions and their actual driving performance suggests they develop inaccurate understandings or “mental models” of the automated driving system and what it does. As an example of a worst-case scenario, Mr. Nasser cites a fatal 2016 crash in the US involving a Tesla electric vehicle in which the driver had his hands on the steering wheel for only 25 seconds while the vehicle’s ‘autopilot’ system was active for 37 minutes. An incomplete understanding of the system’s limitations led to the driver not intervening when the automated system failed to detect and respond to a truck crossing the vehicle’s path.

Speaking on the subject, Mr. Nasser said, “The driver’s mental model – in other words, how fully and accurately the driver understands the automation system and the information it feeds back to them – determines their ability to take control. What complicates this area is that our mental models of driving are constantly changing as we encounter more automated systems built into new cars.”

Mr. Nasser further added, “What the review highlights is a need to keep drivers ‘on the loop’ — monitoring without direct control but remaining vigilant and ready to intervene, if necessary. Evidence suggests interfaces and visual displays that provide the driver with continuous, easy-to-interpret feedback about system status and limitations are the best way to support accurate mental models and optimise take-over performance.”

“Automation in vehicles is here to stay, and the challenge now is ensuring it works with drivers, not against them. If we design systems that keep drivers engaged, we can enjoy the safety benefits of automation without compromising lives on the road,” concludes Mr. Nasser.

Mumbai – India – September 17th 2025 – AnyMind Group [TSE:5027], a BPaaS company for marketing, e-commerce and digital transformation, has announced the launch of AnyLive for Creators, enabling influencers and content creators (collectively creators) to generate their own AI avatars.

The Asia-Pacific live commerce market is projected to exceed US$77 billion by 2030. At the same time, the region’s creator economy is on track to surpass US$75 billion by 2032. As these two spaces converge, new challenges emerge such as longer streaming demands, limited creator bandwidth, and a lack of data-driven feedback loops.

AnyLive for Creators addresses these challenges by giving creators the ability to develop AI avatars that can host livestreams on their behalf. This allows creators to passively earn income through affiliate campaigns delivered via livestreams, freeing up more time for content creation and creative exploration.

The AI avatars can stream 24/7 on platforms such as YouTube, TikTok, and Facebook, delivering content in eight languages: English, Mandarin, Bahasa Indonesia, Bahasa Melayu, Thai, Vietnamese, Tagalog, and Japanese.

The recently launched analytics module on AnyLive also enables creators to benchmark their performance against their AI avatars and use AI-generated scripts to improve livestream outcomes, whether delivered by themselves or their digital twins. This move marks a strategic expansion of AnyLive beyond existing connected e-commerce platforms, democratizing and enabling creator-driven commerce for both AI avatars and human hosts.

On the launch of AnyLive for Creators, Aditya Aima, Managing Director, Growth Markets; Co-MD, India and MENA, said: “In every era, creators have pushed the boundaries of what’s possible. Today, the fusion of AI and live commerce marks this next leap. AnyLive for Creators is our answer to the growing need for both scale and authenticity: giving Indian creators and brands a frictionless way to engage audiences, convert that engagement instantly, and unlock truly borderless opportunities. With this launch, we’re laying new track for the future of creator commerce.”

AnyLive is an AI-powered live commerce platform that empowers businesses to run 24/7 live commerce activities across a range of e-commerce and social commerce platforms through AI avatars that deliver content in multiple languages. In addition, AnyLive includes a bank of AI avatars, deep analytics for human-led and AI avatar-fronted livestreams, and AI-powered generation and optimization of host scripts.

As of June 2025, AnyMind Group supports over 2,300 creators across APAC with monetization, channel optimization, content production, and brand collaboration opportunities.

HSINCHU, Taiwan , Sept. 16, 2025: – MediaTek today announced that it is among the first companies to partner with TSMC (TWSE: 2330, NYSE: TSM) to successfully develop a chip featuring the enhanced N2P process, taping out MediaTek’s flagship system-on-chip (SoC) with volume production expected late next year. Marking a new milestone in the strong partnership between MediaTek and TSMC, this long-standing collaboration continues to yield high performance, power-efficient chipsets for customers in flagship mobile, compute, automotive, data center applications and more.

TSMC’s 2nm technology is the first to adopt nanosheet transistor structure, and N2P represents the next evolution in the 2nm family, set to deliver improved performance and power efficiency. The first chipset utilizing the new TSMC N2P process is expected to be available in late 2026.

Compared with the current-generation N3E process, N2P users can expect to see as much as an 18 percent increase in performance at the same power, an approximately 36 percent power reduction at the same speed, and a 1.2x increase in logic density.

“MediaTek’s innovations powered by TSMC’s 2nm technology underscores our industry leadership, as we continue to push forward with the most advanced semiconductor process technologies available for a variety of devices and applications,” said Joe Chen, President of MediaTek. “Our long history of close collaboration with TSMC has led to incredible advancements in solutions for our global customers, offering the highest performance and power efficiency from the edge to the cloud.”

“N2P represents a significant step forward in the nanosheet era for TSMC, demonstrating our relentless dedication to fulfilling our customers’ needs – tuning and improving our technologies to deliver energy-efficient computing capability,” said Dr. Kevin Zhang, Senior Vice President of Business Development and Global Sales and Deputy Co-COO of TSMC. “Our ongoing collaboration with MediaTek focuses on maximizing enhanced performance and power capabilities across a wide range of applications.”

New Delhi, 15th September 2025 – EKA Mobility, a leading electric vehicle and technology company, showcases the highest number of electric vehicles by any OEM in the country at the International Electric Convention & Green Mobility 2025 (IEC GM 2025) to be held from 15 to 19 September 2025 in New Delhi.

Under its theme “Sustainability with Profitability,” EKA presented its Born Electric Range across three distinct commercial mobility segments:

• EKA 55T – Heavy-duty electric truck with up to 43,000 kg payload and 200 km range
• EKA 12M – Premium 12-meter electric bus with 250+ km range and ADAS safety
• EKA 3W Cargo – Zero-emission 3-wheeler cargo with 200 km range and 750 kg payload
• EKA 6S – India’s first passenger 3-wheeler EV with a steering wheel and D+6 seating

This makes EKA the only OEM in India to display a 360° EV portfolio 3Ws, buses, and heavy-duty trucks at one platform.

Alongside its vehicles, EKA showcased EKA Connect, its AI-powered digital fleet management platform offering predictive diagnostics, modular battery architecture, and real-time efficiency tracking to lower TCO and maximize uptime.

EKA by the Numbers:

• 3,300+ confirmed orders across India & South Africa
• 2,000+ electric buses secured under the PM e-Bus Sewa Scheme
• Global expertise with strategic partners Mitsui (Japan) & VDL Groep (Netherlands)

Dr. Sudhir Mehta, Founder & Chairman, EKA Mobility, said: “EKA is the first and only OEM in India to showcase such a diverse EV portfolio—from 3-wheelers to heavy-duty trucks. Our focus is clear: making clean mobility both sustainable and profitable. Every product is designed, engineered, and manufactured in India, supporting Atmanirbhar Bharat while addressing global needs.”

EKA Mobility, aligned with the Government of India’s vision for Atmanirbhar Bharat and Make in India, designs and manufactures its complete range of vehicles in-house in India, powered by indigenous software and engineering capabilities- driving true self-reliance in mobility. At the core of this transformation is a 500+ strong R&D team, with a majority of women employees, whose dedication and passion are shaping the future of sustainable mobility in India.

With its largest-ever showcase, proven deployments, and robust order book, EKA Mobility is firmly positioned at the forefront of India’s transition to clean, cost-efficient, and globally benchmarked mobility solutions.

Bengaluru, India – September 15th,2025 – Eka Care, India’s leading connected healthcare platform, is driving rapid adoption of EkaScribe – an ambient medical scribe, its AI-powered medical documentation assistant that helps doctors save time, reduce administrative burden, and deliver better patient care.

EkaScribe listens to doctor-patient conversations during consultations and generates structured clinical notes in real time. The tool integrates seamlessly with Eka Care’s electronic medical record (EMR) system and is compliant with Ayushman Bharat Digital Mission (ABDM) standards. Importantly, EkaScribe can also integrate with any EHR/EMR platform that doctors, hospitals, or clinics may already be using, ensuring interoperability and flexibility across the healthcare ecosystem.

“Doctors in India spend nearly a third of their consultation time typing or writing notes,” said Vikalp Sahni, Founder, Eka Care. “With EkaScribe, we are putting that time back into the doctor-patient interaction. Our vision is to make clinical documentation effortless so that doctors can focus on what matters most — delivering quality care.”

Built for inclusivity and advanced doctor workflows

EkaScribe has been designed to work seamlessly in regional languages, including Hindi, Tamil, Kannada, Gujarati, and many more, making it highly inclusive for India’s diverse healthcare system. It supports both voice and text entry, enabling doctors to capture information in the way that best fits their workflow.

Going beyond simple note-taking, EkaScribe can auto-generate prescriptions, symptom logs, and medical histories. It also processes uploaded audios and converts them into structured, actionable insights.

At its core, EkaScribe is powered by Eka’s in-house “Parrotlet” AI model, which brings together document understanding, reasoning, and multilingual voice/text comprehension—making state-of-the-art AI a part of everyday clinical practice.

Addressing a critical need

Documentation remains one of the most time-consuming tasks in clinical practice, often contributing to physician burnout. On average, doctors spend 3–5 minutes per patient recording medical history, symptoms, and treatment notes. With EkaScribe, this process becomes automated, significantly improving productivity and reducing fatigue.

Since its introduction, EkaScribe has seen strong adoption across clinics, hospitals & healthcare companies. Early users reported saving over one hour per day in administrative work, enabling them to see more patients and improve consultation quality. One such user, Clinikk, highlighted the transformative impact EkaScribe had on their workflows:

“The bigger unlock has been our ability to capture the rich social, family, and health context about a patient that often comes up in conversation but usually goes undocumented during a clinical encounter. This has opened up a range of new, high-value use cases for our business that were previously out of reach,” said Sehj Kashyap, Head of Product at Clinikk, one of the healthcare companies to integrate EkaScribe into their ecosystem.

Driving digital health adoption

EkaScribe also contributes to the creation of longitudinal digital health records, a critical building block for India’s digital health ecosystem. Patients benefit from accurate, structured, and portable records accessible through the Eka Care app, aligned with ABDM.

“Generative AI is creating new possibilities across industries, and healthcare is one of the most important frontiers,” said Deepak Tuli, Co-founder, Eka Care. “EkaScribe demonstrates how AI can solve real, everyday challenges for doctors while accelerating India’s digital health journey.”

GOLD COAST, Australia, September 12, 2025 – Sovereign AI and AI agents are expected to shape public sector adoption of AI within the next two to five years, according to Gartner, Inc., a business and technology insights company. Both have reached the Peak of Inflated Expectations on the 2025 Gartner Hype Cycle for Government Services. 

Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities. Gartner Hype Cycle methodology gives a view of how a technology or application will evolve over time, providing a sound source of insight to manage its deployment within the context of specific business goals.

“Public sector leaders face mounting pressure to meet rising citizen expectations, navigate geopolitical uncertainty and do more with less resources,” said Dean Lacheca, VP Analyst at Gartner. “AI agents can address these challenges, but success will depend on bridging the gap between innovation ambitions and broader government priorities to ensure investments strengthen services, trust and resilience.”

Among the innovations Gartner has identified as having high potential for government organizations, prompt engineering is expected to reach mainstream adoption within the next two to five years and machine customers within five to 10 years (see Figure 1).

Figure 1: Hype Cycle for Government Services 2025

Source: Gartner (September 2025)

Sovereign AI 

Sovereign AI refers to the efforts of nation states to invest in and progress their own development and use of AI to achieve their unique sovereign objectives. It enhances government operations through automation, modernizes processes to improve employee experience and accelerates citizen engagement.

Gartner predicts by 2028, 65% of governments worldwide will introduce some technological sovereignty requirements to improve independence and protect from extraterritorial regulatory interference. Sovereign AI aims to maximize AI value while reducing associated risks, especially for sovereign states that collaborate to achieve common goals. 

AI Agents

AI agents are autonomous or semiautonomous software entities that use AI techniques to perceive, make decisions, take actions and achieve goals in their digital or physical environments. They can help governments enhance service delivery, from processing citizen applications against policies and interpreting legislations, to automating routine tasks. 

Gartner predicts by 2029, 60% of government agencies globally will leverage AI agents to automate over half of the citizen transactional interactions, up from less than 10% in 2025. 

“Government leaders must incorporate AI agents into strategic planning by first identifying where they can deliver the most value,” said Lacheca. “Then run targeted pilots to manage expectations and address concerns from within the organization and from citizens. This should be followed by a clear roadmap to ensure initiatives progress beyond the pilot phase.” 

Prompt Engineering 

Prompt engineering involves providing text or image inputs to GenAI models to guide and constrain their responses, with well-structured prompts significantly enhancing response quality, performance and reliability. Governments can maximize returns on AI productivity tools by fostering AI literacy in their organizations by investing in context-specific prompt engineering skills and creating reusable prompt libraries to support effective prompt development.

“Governments are investing in AI solutions that work best when users create clear context-specific prompts,” said Lacheca. “They shouldn’t invest in AI solutions if they’re not willing to invest in the development of strong prompt engineering capabilities within their organizations.”

Machine Customer
Machine customers are nonhuman economic actors that purchase goods or services on behalf of people or organizations. Gartner predicts three billion B2B internet-connected machines can act as customers today, growing to eight billion by 2030. Governments will need the ability to authenticate, provide services and regulate machine customers. For example, the proposed electric vehicle road use tax in Australia could be administered by the vehicle reporting operations directly to the government.

“Government leaders need to identify where adoption of machine customers by citizens and industries will require the reimagination of regulatory enforcement and service delivery,” said Lacheca. “Existing government service delivery models will be disrupted, creating ethical, legal and accountability challenges. Governments can’t afford to be caught unprepared for the rise of machine customers.”

Gartner clients can read more in the report Hype Cycle for Government Services, 2025.

Learn more about how governments are adopting AI to improve service delivery to their citizens in the complimentary Gartner webinar Government Leaders, Is Your Data Ready to Enable Secure AI Initiatives?