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  • JS Institute of Design Hosts Summer Internship 2026, Introducing Young Learners to the World of Digital Design

    JS Institute of Design Hosts Summer Internship 2026, Introducing Young Learners to the World of Digital Design

    New Delhi, June 11: JS Institute of Design (JSID), in academic collaboration with a French Design School, École Intuit Lab, hosted its Summer Internship 2026 in Digital Design, an immersive learning initiative designed for students from Classes 8 to 12. Ran from 30th May to 5th June 2026 at the JSID campus in New Delhi, the program offered participants a hands-on introduction to design, creativity, technology, and innovation through experiential learning and industry-oriented exposure.

     
    Curated as an engaging and multidisciplinary program, the internship introduced students to the fundamentals of design thinking, visual storytelling, digital tools, and problem-solving through studio-based projects, workshops, and guided learning experiences.
     
    The Summer Internship 2026 witnessed participation from 39 students representing diverse academic backgrounds and geographies. The cohort included students from leading institutions such as Kunskapsskolan Gurgaon, Modern School Barakhamba Road, Manav Rachna International School, Shiv Nadar School, GD Goenka Public School, Delhi Public School (DPS), Step by Step School, Lotus Valley International School, among others. Participants travelled from cities including Delhi, Gurugram, Solan, Mohali, Gangtok, Jaipur, Meerut, and Sonipat, creating a vibrant learning environment enriched by varied perspectives and experiences.
     
    Participants engaged across learning tracks tailored to different levels of exposure and skill development.
    The Beginner Track featured modules such as:
    • Environment Design
    • UI/UX Design
    • Window Display (Retail)
    • Editorial Design
    • Animation & Motion Design
    • AI in the Design World
     
    As part of the initiative, JSID also hosted a special parent interaction session titled “Design as a Career: Interaction with the Dean,” led by Prof. Nien Siao, Dean, JS Institute of Design. The session offered insights into evolving opportunities within design education and creative industries, while helping parents better understand future-focused career pathways available to aspiring designers.
     
    Commenting on the program, Prof. Nien Siao, Dean, JS Institute of Design, said: “The Summer Internship 2026 reflects our belief that creativity flourishes through exploration, experimentation, and real-world exposure. It has been inspiring to see young learners from different schools and cities engage so enthusiastically with design thinking, storytelling, and emerging technologies. Programs like these play an important role in nurturing curiosity, confidence, and creative problem-solving skills that will serve students well in the future.”
     
    Through collaborative projects, studio-based learning, and exposure to emerging design and AI tools, the internship provided young learners with an opportunity to explore creative disciplines while interacting with peers from diverse backgrounds. The programme reinforces JSID’s commitment to experiential learning and early creative exposure, empowering students to discover their interests and make informed decisions about future academic and professional pathways in design. Reflecting the institute’s philosophy of “Fearless Today. Iconic Tomorrow.”, the internship encouraged participants to think boldly, embrace experimentation, and confidently express their ideas laying the foundation for the next generation of creative innovators and design leaders.
  • USD 2 Trillion a Year Never Makes It from Obligation to Settlement. Rivvun AI Is Built to Recover It

    Icertis veterans raise $7.55 million seed for Rivvun AI to recover enterprise spend and revenue leakage — Co led by Sitara Capital and 3one4 Capital

    Seattle, WA – June 11, Rivvun AI Inc. announced a $7.55 million oversubscribed seed round led by Sitara Capital and 3one4 Capital, to deploy an autonomous AI execution layer purpose-built for enterprise spend and revenue recovery.

    The scale of the problem is staggering. McKinsey research finds that enterprise procurement functions lose up to one-third of planned savings during execution — with an additional 3– 4% of total external spend lost to transaction inefficiency and noncompliance. Across fortune 2000 revenues that compounds to more than $2T in value that never reaches the bottom line. The money isn’t lost to fraud or bad contracts. It disappears in the gap between what was contractually committed and what enterprise systems were ever built to collect.

    Built by the Executives Who Saw This Problem at Scale

    Anand Veerkar and Niranjan Umarane spent the last decade as senior executives at Icertis, where they helped scale the company to more than $350 million ARR and built a platform governing some of the world’s largest commercial portfolios. Across every industry, the pattern was consistent: terms of trade were precisely structured; financial execution against them was not. Money owed under negotiated agreements quietly went uncollected — not because anyone decided to leave it, but because no system in the enterprise stack was designed to recover it. They left to build that system. They are joined by serial entrepreneur Patrick Linton, who brings deep experience scaling global operations for enterprise software companies.

    The Problem Is Structural. So Is the Solution.

    ERP systems record transactions. CRM tools track relationships. Procurement platforms manage approvals. None of them enforce outcomes. Rivvun’s autonomous AI execution layer connects to existing ERP, CRM, and procurement systems, interprets commercial obligations, identifies what hasn’t settled as agreed, and initiates recovery at the transaction level. No rip-and-replace. No new system of record.

    Two agentic families power the platform: Spend Assurance on the buy side — recovering supplier rebates, pricing commitments, and procurement obligations that have gone unenforced; and Margin Defense on the sell side — recovering customer settlement variances, trade term discrepancies, and revenue that left the P&L without authorization.

    Built Vertical-First, Because Leakage Isn’t Generic

    Chargeback mechanics in pharma — GPO compliance, government pricing obligations — look nothing like settlement gaps in banking or trade term failures in CPG. Generic AI produces generic results. Rivvun deploys with vertical-specific agent logic tuned to the precise failure patterns of each industry, across Pharma, Healthcare, Banking, CPG/Retail and Industrial

    Anand Veerkar, CEO and Co-Founder, Rivvun AI commented: “The enterprise has spent years being told AI will transform how it operates. What it needed was AI that creates direct, measurable impact on the P&L – not productivity narratives, not dashboards. Rivvun closes the gap between what was agreed and what was collected, recovering money that goes straight to the bottom line.

    Sachin Bhanot, Managing Partner, Sitara Capital added: “We’ve invested in enterprise technology for years. The winners tie their value directly to a number the CFO can see on the P&L. Rivvun does exactly that with precision rare for a company at this stage – and with a founding team that has already built a category-leader in this space.”

    Anurag Ramdasan, Partner, 3one4 Capital said: “The team at Rivvun is one of the strongest founder-market fit we’ve seen in the vertical AI category so far. They are not pitching a horizontal AI solution and hoping for enterprises to extract value out of it. They are delivering ROI on AI for large enterprises from the first day of implementation, which is very critical for enterprise AI adoption. This rigor comes from the deep expertise of the founders, and we are incredibly excited to back such a transformational team at seed stage.”

     

  • Fortinet launches Singapore NDR cloud PoP to strengthen threat detection across ASEAN

    SINGAPORE, June 11 - As organisations across Singapore and the wider ASEAN region accelerate cloud adoption, hybrid work and digital transformation, many continue to grapple with fragmented security environments, growing alert volumes, and increasing pressure to improve visibility and operational efficiency. 

    To address this and as part of its continuing investments in strengthening cyber resilience across the region, Fortinet has launched a new FortiNDR Cloud Point-of-Presence (PoP) in Singapore, bringing cloud-delivered network detection and response capabilities closer to customers in the region. 

    The move reflects a broader cybersecurity trend: organisations are looking for stronger visibility across on-premises, cloud, hybrid and operational technology environments as attackers use legitimate tools and trusted platforms to move laterally and remain undetected for longer periods. Fortinet’s new Singapore-based PoP is designed to help regional customers improve detection, speed up response and support operational requirements around performance and regional compliance. 

    Visibility becomes the front line 

    Security teams are no longer dealing with threats only at the perimeter. Modern attacks increasingly unfold across distributed networks, unmanaged devices, Internet of Things (IoT) assets and cloud workloads, making it harder for traditional approaches alone to deliver consistent visibility. 

    FortiNDR Cloud is built to address that challenge by using artificial intelligence (AI)-powered analytics, behavioural detection and FortiGuard Labs threat intelligence to analyse network traffic and metadata for signs of suspicious activity. By identifying anomalous behaviour that may blend into ordinary business operations, the platform aims to help organisations detect threats earlier and reduce attacker dwell time. 

    From detection to faster response 

    The Singapore PoP also highlights a shift in how organisations are approaching security operations. Rather than simply adding more tools, many are looking for platforms that can streamline investigation and response while giving analysts a clearer view across complex estates. 

    FortiNDR Cloud includes AI-powered guidance, natural language capabilities and up to 365 days of retrospective hunting, allowing security operations centre teams to investigate incidents more efficiently and look back across historical network activity when needed. This is particularly relevant as organisations explore how to operationalise AI in security operations without losing control of fragmented environments and incomplete data. 

    Local infrastructure, regional resilience 

    Hosting the FortiNDR Cloud PoP in Singapore gives organisations in ASEAN and Asia Pacific access to security services delivered closer to where they operate, which can support latency, operational efficiency and regional compliance needs. The launch also expands Fortinet’s broader cybersecurity infrastructure footprint in Asia Pacific as demand grows for localised cloud-delivered security services. 

    Organisations across ASEAN and Asia Pacific are operating in increasingly complex digital environments, where security teams must manage growing cloud adoption, hybrid operations and rapidly evolving cyber risks. At the same time, many organisations are looking to leverage AI to improve security outcomes, but fragmented environments and limited visibility continue to create operational challenges,” said Jack Chan, VP, Product Management and Field CTO APAC, Fortinet. “Fortinet’s continued investment in Singapore reflects our long-term commitment to helping customers build stronger cyber resilience through integrated, AI-powered security capabilities delivered closer to where they operate.” 

    Jess Ng, Country Head, Singapore and Brunei, Fortinet, said: “In Singapore, organisations are increasingly prioritising visibility, operational efficiency, and faster response as cyber threats become more sophisticated and difficult to detect. The new Singapore-based FortiNDR Cloud PoP brings advanced detection and response capabilities closer to customers, helping them improve visibility across distributed environments, strengthen operational resilience, and support faster, more efficient security operations.” 

  • Global Triumph: True IDC, Backed by CP Group and GIP, Wins ‘Digital Infrastructure of the Year’ at IJGlobal Awards

     True IDC, Backed by CP Group and GIP, Wins ‘Digital Infrastructure of the Year’ at IJGlobal Awards, Set to Transform Thailand’s Digital Economy with EEC Mega Data Center Project

    BANGKOK, June 11 - True Internet Data Center, or True IDC, Thailand’s largest data center operator, backed by Charoen Pokphand Group (CP Group) and Global Infrastructure Partner (GIP), a part of BlackRock, has announced a landmark achievement in winning the ‘Digital Infrastructure of the Year’ award at the IJGlobal Awards, a globally recognized institution for infrastructure and project finance intelligence. This recognition not only reflects the organization’s success but also signals Thailand’s capabilities on the international stage. 

    The ‘Digital Infrastructure of the Year’ award affirms the stature of the AI Hyperscale Data Center project, spanning over one hundred megawatts in the Eastern Economic Corridor (EEC), Rayong Province, as a world-class development drawing global attention. The project features a robust financial and investment structure, developed under advanced data center technology across all dimensions and international sustainability and environmental standards. The first phase is expected to go live in Q3 2026. The project is also among those receiving BOI investment promotion, with a total value exceeding THB 77 billion. 
     
     Global Triumph: True IDC, Backed by CP Group and GIP, Wins 'Digital Infrastructure of the Year' at IJGlobal Awards, Set to Transform Thailand's Digital Economy with EEC Mega Data Center Project

    Thanasorn Jaidee, President of True IDC, commented, “The IJGlobal Award is proof of the strength of this mega data center project, both in financial structure and operations, which True IDC has been developing since 2025. This project is a magnet for investor confidence worldwide and marks a turning point that firmly positions Thailand as a regional technology infrastructure hub, generating substantial long-term economic value. True IDC extends its gratitude to all partners who have driven this project forward, securely, safely, and sustainably, to meet every challenge of the digital era”. 

    Panuwat Hirunpatawong, Chief Investment Officer of True IDC added, “This award reflects our proven ability to structure and finance world-class data center projects. As the country’s longest-established data center provider operating in one of the fastest-growing data center markets in the region, we combine that financial capability with unparalleled operational expertise and local market knowledge. True IDC is well positioned to support hyperscalers as they establish and grow their presence in Thailand.” 

    This achievement at the IJGlobal Awards confirms that True IDC is ready to lead Thailand toward becoming a prominent digital hub in the Asia-Pacific region. 

  • AI Translation and Captioning Emerge as 2026 Graduation Season Trend in Higher Education

    LOS ALTOS, CA – June 10, 2026This year’s commencement season highlighted the use of AI translation and real-time captioning as one of the fastest-growing trends in higher education event technology. While educators continue to debate how AI should be used in classrooms, Wordly, the pioneer in live AI translation and captioning, has seen rapid adoption of its platform during commencement ceremonies. 

    The trend comes as U.S. campuses are becoming more global and institutions look for scalable ways to support multilingual students, families, and guests during major campus events. According to the Institute of International Education’s Open Doors Report, approximately 1.2 million international students during the 2024/2025 academic year, reflecting growing linguistic and cultural diversity that is driving stronger demand for real-time language access at milestone events. 

    “Commencement is one of the most meaningful moments in a student’s life,” said Lakshman Rathnam, Founder and CEO of Wordly. “Every family should be able to experience it in real time, in a language they understand What we’re seeing is an increasing number of institutions using AI translation as practical infrastructure for inclusion.” 

    Industry data shows demand for AI translation in higher education has doubled over the past year as colleges and universities seek more scalable ways to support increasingly diverse campus communities. Institutions across North America, including SUNY Oswego, Mount Saint Mary’s University, and the University of New Mexico are among the universities that have implemented AI translation and captioning for large-scale campus events, including commencement ceremonies. 

    SUNY Oswego first introduced AI-powered translation and captioning at its December 2024 commencement ceremony and has since expanded its use to additional campus events. Attendees access real-time captions and translations through a QR code, providing a new layer of accessibility for families who previously had limited language support options. Usage has steadily increased as awareness has grown, demonstrating demand for more inclusive graduation experiences. 

    Beyond commencement, universities are increasingly extending Wordly across orientation programs, student advising sessions, parent and family engagement events, campus-wide town halls, faculty meetings, and virtual gatherings, enabling broader language access without adding logistical complexity or requiring advance interpreter coordination. 

    Higher education institutions cite several factors driving adoption, including improved accessibility for multilingual communities, increased participation and engagement, scalability across dozens of languages, operational efficiency compared with coordinating multiple interpreters, and ease of access through attendees’ personal devices without the need for headsets or specialized equipment. 

    As institutions continue to welcome growing numbers of international students and serve multilingual families, AI translation and captioning are rapidly becoming a standard feature of major campus events and an example of technology enhancing connection, inclusion, and belonging at one of life’s most important milestones.

  • Your Brain Decides What to Buy Before You Do

    Your Brain Decides What to Buy Before You Do

    Imagine yourself in a shopping mall on a casual Saturday afternoon. There are signs of discounts, smells of freshly baked bread, and calm, rhythmic music in the background. Your hand reaches for a luxurious-looking pack of coffee as if on its own. When you return home, you rationalise the purchase to yourself or to your friend as ‘this coffee was discounted and the packaging is very convenient.’

    But the real story of this decision is far more complex. When you were rationalising your choice, a barrage of processes occurred in your brain. A few seconds before the decision, your limbic system, the part of the brain responsible for emotions, had already given the ‘buy’ command. You had no chance of resisting it. This was not a rational decision; it was influenced by pure human biology.

    According to Assistant Professor Dr Indrė Radavičienė of the Faculty of Economics and Business Administration at Vilnius University, consumer decisions are often shaped by emotional and subconscious processes long before people consciously evaluate their choices.

    “We tend to think of ourselves as rational consumers, but emotions often begin shaping our decisions before conscious reasoning takes over,” says Dr Radavičienė.

    Our brain reacts faster than the mind decides

    Welcome to the world of neuromarketing, where neurobiology, psychology, marketing, and consumer behaviour research meet. Here, we seek answers to seemingly simple yet fundamentally important questions: what makes a person trust one brand and completely ignore another? What happens to our brain when we see a discount sign? Why do some colours calm us down and others make us rush? Is it possible to predict a purchase decision even before the person is consciously aware of it?

    Neuromarketing is often misunderstood as an attempt to create ‘zombie consumers’ who are helplessly following advertising instructions. But the true purpose of this science is far more human: to understand the authentic and spontaneous human reaction, often disguised by social norms, politeness, or simply a lack of self-awareness. Neuromarketing allows us to take a peek at the mysterious process taking place in our brains, even before we consciously utter the final ‘I will buy it.’

    Using modern technology, neuromarketing reveals how evolutionary instincts, emotional stimulation, and subconscious filters shape our daily choices. It also explains why stories created by brands often beat even biological tastes, how FOMO – the fear of missing out – encourages impulsiveness, and why the sustainable future of business belongs to a deep and respectful understanding of the emotional needs of the consumer rather than aggressive advertising. Traditional market research – surveys, focus groups, and interviews – is based on the assumption that the consumer knows what they want and can name it. But psychologists note the paradox that we are ‘emotional beings who sometimes think’ rather than ‘thinking beings who sometimes feel.’ When you are asked why you like a certain advertisement, your brain begins to create a logical response to an emotional impulse. This is called post-hoc rationalisation, when we come up with reasons to justify our behaviour after it happened.

    “When people explain why they chose a product, they are often constructing a logical explanation for an emotional response that occurred earlier,” explains Dr Radavičienė.

    Neuromarketing bypasses this ‘filter’. It observes the nervous system directly, capturing reactions that occur within the first milliseconds, before you can think.

    How do they know which product will be successful?

    To understand consumer behaviour, researchers use tools that were only available to top-notch medical centres a few decades ago.

    1. Functional magnetic resonance imaging (fMRI)

    One of the most advanced tools is functional magnetic resonance imaging (fMRI). This technology measures changes in blood flow in the brain. When a certain area of the brain is activated, it needs more oxygen, which is brought by blood. For example, if the pleasure and reward centre nucleus accumbens lights up when seeing a certain product, marketing specialists know – the product will be successful. If the amygdala is activated, the consumer feels insecurity or fear, i.e. emotions that can discourage the purchase.

    2. Electroencephalography (EEG)

    Another widely used method is electroencephalography (EEG), which measures electrical impulses in the brain. This is an extremely fast method that allows us to see how a person’s state changes when watching a 30-second video clip. At which point did the viewer stop being interested? When did they feel engaged? The EEG provides the answers in almost real time.

    3. Eye-tracking and pupillometry

    Eye-tracking equipment plays an equally important role because our eyes are among the most reliable traitors of the subconscious mind. Eye-tracking technologies create ‘heat maps’ that reveal exactly where our gaze is headed. For example, on a page with a photo of a baby, people usually look at the baby’s face rather than the text. However, if the baby in the photo is looking in the direction of the text, consumers’ eyes automatically follow the baby’s gaze. Pupils are also measured: the more they expand, the greater the emotional excitement (positive or negative) that a person is experiencing.

    “What makes these tools particularly valuable is that they allow researchers to observe reactions that occur before consumers themselves become fully aware of them,” says Dr Radavičienė.

    Pepsi and Coca-Cola: which is tastier?

    One of the most famous neuromarketing experiments concerns the eternal rivalry between Pepsi and Coca-Cola. In the blind test, most of the subjects preferred Pepsi. The taste centres in their brain reacted positively to this drink.

    However, things changed when people saw brands. Drinking Coca-Cola activated areas of the brain associated with long-term memory, emotions, and self-identification. People didn’t just say that Coca-Cola tastes better – their brains really ‘experienced’ a better taste. Over decades of marketing, the brand has become part of their identity, leading to a loss of biological taste in favour of the emotional story it creates.

    Another astonishing example is the wine price experiment. When the subjects tasted the same wine, but with different prices indicated (between $5 and $90), their brains recorded a real, physiological increase in pleasure from drinking a ‘more expensive’ drink. This means that the price is not just a number; it is an expectation set by your brain that directly changes your sensory experience.

    “These experiments demonstrate that our experience of a product is shaped not only by its physical characteristics but also by expectations, memories, and emotions,” notes Dr Radavičienė.

    A perfect example of neuromarketing – the layout of IKEA stores

    Companies have long used neuromarketing knowledge to imperceptibly ease consumers’ path to purchase. For example, a study by Frito-Lay found that the glossy packaging of potato crisps activates areas in the brain associated with feelings of guilt about unhealthy food intake. The shift to matte, more ‘natural’-looking packaging has suppressed this response in the brain, so people started buying crisps more freely, without remorse.

    Have you ever wondered why so many fast food restaurants use red and yellow colours? Red stimulates energy and appetite, and yellow promotes optimism and attentiveness. In contrast, blue is rarely used in the food industry because, in nature, it is often associated with decay or poison, so it subconsciously suppresses appetite.

    The layout of IKEA stores is a masterpiece of neuromarketing. The one-way path makes you see thousands of trifles. Your brain gets tired of making decisions, and when you reach the checkout, your ‘muscle of self-control’ is so weakened that you can easily throw a few more candles or a cutting board into your cart that you didn’t need at all.

    “Many retail environments are designed around well-established psychological principles. Consumers may not consciously notice these influences, but they can nevertheless affect behaviour,” says Dr Radavičienė.

    Are we still making our own decisions?

    Many people have a legitimate question: isn’t this manipulation? If companies know how to bypass our rational thinking, do we still decide for ourselves what to buy and what not?

    We have to understand that neuromarketing cannot make you buy something you essentially don’t want. It simply helps brands communicate more effectively. For example, the National Cancer Institute used brain scanning to find the most effective social advertising against smoking. The winner was not the most aesthetically pleasing advertisement, but the one that gave the brain the strongest impulse to take action and call the helpline. In this case, science has contributed to public health. In addition, professional studies are conducted in accordance with strict ethical guidelines. The subjects always give their consent, and their privacy is protected by law. Brain data does not reveal personal thoughts or memories; it only indicates a general reaction to the stimulus.

    “Neuromarketing cannot force people to buy something they fundamentally do not want. Its purpose is to better understand human reactions rather than manipulate them,” emphasises Dr Radavičienė.

    Online, emotions are even more important

    When you buy online, emotions are even more often ahead of logic, so the buying process becomes impulsive rather than consistent. Here, the purchase is determined by two main factors: a person’s emotional stimulation (energy level) and the pleasure experienced. If a website or an advertisement creates positive emotions and, at the same time, piques curiosity, a person tends to buy now, without going into long reflections. Neuromarketing studies show that visual information is processed thousands of times faster in our brains than text, so emotional impulse acts as a fast filter: users are reluctant to analyse all the technical data but rely on what they feel when they see an immersive image. Brands that understand these brain mechanisms are able to establish a connection with the consumer even before they can logically evaluate the price or characteristics of the product.

    A ‘TrustPulse’ (2023) market study confirmed that one of the strongest drivers of impulsiveness is the fear of missing out something important (FOMO), which accounts for about 60 per cent of unplanned purchases. This feeling is deeply rooted in our evolution as an instinct to acquire resources in time and to remain part of the social group, so time-limited offers create a sense of urgency that directly bypasses rational thinking. Meanwhile, research by the ‘Edelman Trust Barometer’ in 2022 and 2023 confirmed that when making high-value decisions, the brain is looking for security and emotional certainty – as many as 83 per cent of consumers are determined to make big purchases only after receiving affirmation through feedback from other people or a trusted brand reputation.

    “Digital environments encourage rapid decision-making, which is why emotional responses often play an even greater role online than in traditional retail settings,” explains Dr Radavičienė.

    In addition to these primary reactions, secondary emotional mechanisms, such as pride and strengthening of social status, also operate. This is particularly evident in the luxury goods sector, where the analysis of the luxury goods market in 2023 performed by ‘Deloitte’ confirmed that as many as 72 per cent of shoppers choose a product not because of its practical characteristics, but because of the psychological satisfaction it provides and the ability to demonstrate their identity or status. This emotional reward brings constant joy even after the moment of purchase, strengthening the connection with the selected brand.

    Finally, the greatest value is created by a sense of community – companies that focus on both product features and creating a common identity are able to retain customers three times longer, because for them, buying becomes no longer a simple transaction but an emotional attachment to a social group close to them.

    Why does the future belong to neuromarketing? 

    In a world where we see thousands of advertising messages every day, traditional methods are starting to fail. We learned to ignore advertising banners, to ‘disconnect’ our attention through pauses, and to filter out noise. Neuromarketing, however, offers a different path – it helps to create content that does not scream, but resonates quietly and accurately with human emotions and experiences.

    A business that understands the emotional needs of its customers can create products that really solve problems instead of simply bombarding the consumer with empty promises or shoving goods that they don’t need. Rather than creating an artificial need through aggressive advertising, neuromarketing specialists seek to respond to the deepest human expectations by creating value that the brain recognises as authentic and useful. This is the way to more sustainable marketing with less ‘noise’ and more meaning. Such a strategy allows companies to optimise their resources, avoid wasting their budget on advertising that annoys consumers, and build a long-term, trust-based relationship with their audience rather than one-off sales.

    “The future belongs to organisations that understand the emotional needs of their audiences and create genuine value rather than simply competing for attention,” says Dr Radavičienė.

    So, the next time you feel an irresistible urge to buy a new item, just smile. This is a sign that your brain has recognised something familiar, safe, or joyful. We are not rational machines; we are very complex and wonderfully emotional people – and this is the biggest part of our charm.

  • Liquibase Introduces Agent Safe Governance for AI-Generated Database Change Share

    Liquibase Secure 5.2 brings governed AI-assisted database change to the enterprise, while earning five 2026 TrustRadius Top Rated Awards.

    AUSTIN, Texas — Liquibase, the leader in database change governance, today announced Liquibase Secure 5.2, a major release introducing Agent Safe Governance for AI-generated database change. Liquibase Secure 5.2 helps enterprises validate, track, and govern database change before and after production, whether created by humans or AI.

    Liquibase also announced that Liquibase Secure earned five 2026 TrustRadius Top Rated Awards across Database DevOps, Build Automation, Release Management, Database Management, and Version Control. TrustRadius Top Rated Awards are based entirely on customer reviews, with no paid placement or analyst opinion, and recognize products that meet criteria for review recency, customer rating, and category relevance.

    Companies are moving faster across applications, infrastructure, data products, and AI initiatives. But every application, data product, and AI model still depends on database change. That creates a new pressure point: database changes can now be generated in seconds, while many enterprise controls still rely on tickets, manual reviews, disconnected scripts, and after-the-fact audit trails.

    According to Liquibase’s State of Database Change Governance report, 96% of organizations allow AI to interact with production databases. As tools such as Cursor, Claude, GitHub Copilot, and other AI assistants become part of the developer workflow, database changes are no longer created only by humans. But faster creation does not mean those changes are safe to deploy.

    Agent Safe Governance is Liquibase’s answer to that shift. AI can help create a database change, but it cannot bypass the checks, approvals, audit trails, schema lineage, drift detection, and recovery controls enterprises require before production.

    AI is changing how database changes are created. Liquibase Secure governs how they reach production.

    “AI agents are becoming part of how developers work, but they should not have a free pass to change production databases,” said Pete Pickerill, Co-Founder at Liquibase. “Agent Safe Governance means AI can help create a database change, while Liquibase Secure validates it, tracks it, checks it against policy, preserves schema lineage, detects drift, and controls how it moves to production. That is the balance enterprises need: faster development without turning database change into an unmanaged risk surface.”

    Liquibase Secure 5.2 uses the Liquibase MCP server to connect AI-assisted workflows to govern database change management. Developers and AI assistants can create Liquibase-formatted changelogs, schema updates, rollback logic, and AI-generated DDL, while Liquibase Secure applies policy checks, governance workflows, drift detection, and audit-ready evidence before changes reach production.

    “Agent Safe Governance is not about slowing developers down,” added Pickerill. “It is about giving developers and AI assistants a safe path to move faster. Liquibase Secure lets teams use AI to accelerate database change authoring while giving platform, security, and compliance leaders a complete system of control and evidence around what actually ships.”

    Liquibase Secure 5.2 Brings Agent Safe Governance to the Database Layer: Liquibase Secure 5.2 gives enterprises one control plane for every database change, human or AI. The release connects new AI-assisted workflows with the proven governance controls enterprises already rely on to validate, track, and secure database change.

    AI-assisted database change authoring through the Liquibase MCP server: The Liquibase MCP server connects AI-assisted workflows to Liquibase Secure, helping developers and AI assistants create structured, reviewable, and governed database changelogs, schema updates, rollback logic, and AI-generated DDL. AI can assist with authoring, but Liquibase Secure governs the path to production.

    Change Intelligence and schema lineage for human and AI-generated change: Liquibase Secure gives teams visibility into the full lifecycle of every database change. Change Intelligence helps teams understand what changed, who or what created it, where it ran, whether controls were followed, how the schema changed over time, whether drift exists, and what evidence is available for audit or investigation.

    Policy checks and drift detection as the governance foundation: Liquibase Secure applies policy checks before deployment to help teams block risky operations, enforce standards, support separation of duties, and validate compliance requirements. Drift detection helps identify when environments no longer match the approved database state, including manual updates, emergency fixes, shadow changes, or AI-assisted changes that bypass governed workflows.

    Expanded enterprise database coverage: Liquibase Secure 5.2 deepens support for complex enterprise database estates with new capabilities for Teradata, MongoDB, and DynamoDB. These enhancements help teams extend governed change across the databases that power mission-critical applications, data products, and AI systems.

    Machine-Readable Vulnerability Intelligence with VEX: Liquibase Secure 5.2 adds Vulnerability Exploitability eXchange, or VEX, support to provide machine-readable vulnerability assessments for Liquibase products. Published through the Liquibase VEX repository, included alongside SBOM files inside the Secure distribution, and available as standalone files on the Liquibase download site, VEX helps enterprise security teams understand vulnerability context, integrate with automated scanners, and streamline security response.

    One Control Plane. Every Database. Every Change. Human or AI. Liquibase Secure 5.2 extends Liquibase’s role as the enterprise control plane for database change. It helps organizations govern database change across human developers, AI assistants, CI/CD pipelines, and production environments.

    For regulated industries, this is already a board-level issue. Financial services, healthcare, insurance, retail, media, and technology organizations must prove that database changes are reviewed, approved, traceable, recoverable, and compliant. AI does not remove that requirement. It raises the stakes.

    With Liquibase Secure 5.2, enterprises can move from reactive database control to continuous governance, with one consistent way to manage database change across applications, data products, and AI systems.

    Liquibase Secure’s five 2026 TrustRadius Top Rated Awards reinforce the same customer demand driving this release: database change needs to move faster, stay governed, and remain trusted across increasingly complex enterprise environments.

  • TechnoMile Recognized among Notable Vendors in Contract Lifecycle Management Platforms Landscape Report

    Leading research firm notes TechnoMile CLM’s self-reported focus on obligation management and regulatory and policy compliance use cases 

    TYSONS, VA — June 10, 2026 — TechnoMile, the leading AI solution that unifies growth, contracts, compliance, and security workflows, today announced it has been included in Forrester’s report, The Contract Lifecycle Management Platforms Landscape, Q2 2026. The report provides an overview of notable CLM platform vendors and is designed to help technology executives as well as contracts, procurement, legal, and risk professionals understand vendor differences and explore CLM options based on size and market focus.

    Forrester’s report describes the CLM market as shifting toward postsignature intelligence, governance, and integration depth – capabilities that have long been mission-critical realities for organizations operating in the federal contracting environment. The report identifies these capabilities as the emerging center of gravity for mature CLM platforms as AI-native tools increasingly automate earlier-stage drafting and negotiation workflows.

    For TechnoMile, its inclusion reflects the company’s purpose-built focus on the complexities of government contracting. According to self-reported data in the report, TechnoMile’s top extended use cases – obligation management and regulatory and policy compliance – are precisely the capabilities that federal contractors rely on to manage highly regulated, postsignature contract execution.

    “To us, being included in Forrester’s CLM Platforms Landscape report reflects the growing market recognition that federal contracting demands a fundamentally different approach to contract lifecycle management,” said Mick Fox, COO, TechnoMile. “For GovCon and Aerospace & Defense organizations, the complexity has never been in drafting – it’s in executing against contractual obligations, managing compliance across a highly regulated environment, and maintaining audit readiness throughout the life of a contract. TechnoMile was built for exactly that reality.”

    Unlike general-purpose CLM platforms designed primarily around negotiation workflows, TechnoMile’s Contracts Suite is built for the full operational lifecycle of federal contracts – from opportunity identification through contract closeout. The platform supports organizations in managing OCI vetting, clause tracking and flowdowns, contract modifications, limitation of funds monitoring, subcontractor oversight, CDRL and deliverable management, CPARS, and contract closeout, among other postsignature functions.

    TechnoMile’s AI strategy is purpose-built for the regulated workflows of federal contracting, leveraging domain-trained AI agents and copilots that continuously learn from historical capture, contract, program, and compliance data across the enterprise – helping organizations reduce manual workload, improve decision quality, mitigate risk, and strengthen audit readiness over time.

    To access a complimentary copy of The Contract Lifecycle Management Platforms Landscape, Q2 2026 report, please visit https://technomile.com/resources/the-contract-lifecycle-management-platforms-landscape-report-q2-2026.

  • ASHRAE, NEMA and PNNL Release AI Data Center Energy Performance Framework to Guide Next-Generation Design and Operation

    ATLANTA (June 10, 2026) – ASHRAE, in collaboration with Pacific Northwest National Laboratory (PNNL)  and the National Electrical Manufacturers Association (NEMA), announced the release of a comprehensive AI Data Center Energy Performance Framework. The Framework is hosted on ASHRAE’s website, providing industry-wide access to practical, expert-driven guidance for next-generation data center design and operation.

    As demand for artificial intelligence and high-performance computing continues to grow, data centers are placing increasing demands on both facility systems and energy infrastructure. According to Pew Research Center, the United States currently has more than 3,000 operational data centers, with significant growth expected in the coming years. An additional 1,500 data centers are already in various stages of development. 

    The new Framework delivers practical, consensus-based guidance to help owners, operators and engineers optimize performance, control operating costs and sustain resilient, high uptime operations through effective thermal management.

    The Framework delivers strategies for both new and existing facilities, addressing the full lifecycle of data centers, from planning and design, to commissioning, retrofit and ongoing operation. It addresses key considerations including thermal management, integrated system performance, energy and water use, and facility reliability, with recommendations tailored to varying climates, load densities and operating conditions.

    ASHRAE led the development of guidance related to HVAC systems, thermal management and overall facility performance, building on its established body of work, including resources developed through Technical Committee 9.9 (Mission Critical Facilities, Data Centers, Technology Spaces & Electronic Equipment) and Project Committees overseeing Standard 90.4, Energy Standard for Data Centers and Standard 127Method of Testing for Rating Air-Conditioning Units Serving Data Center (DC) and Other Information Technology Equipment. NEMA contributed expertise in electrical systems, equipment and safety, while PNNL is a federal authority in energy systems research, providing coordination of the working group.

    “ASHRAE’s technical leadership in building systems and data center guidance is central to this effort at a pivotal moment for our industry,” said 2025-26 ASHRAE President Bill McQuade, P.E., CDP, Fellow ASHRAE, LEED AP. “As AI continues to drive rapid changes in load density, system design and operational expectations, this Framework brings together the collective expertise of ASHRAE, PNNL and NEMA to deliver practical, integrated solutions. It translates complex technical challenges into clear, actionable strategies that help operators enhance performance, control costs and make more effective use of energy, while strengthening reliability at both the facility and grid level.”

    “This guide brings together the most comprehensive industry expertise on data centers in a single resource,” said PNNL Director of Buildings and Industrial Programs Bing Liu, who launched this industry-lab partnership a year ago. “Rather than being frozen in time, it’s a dynamic online resource that can be updated, remain relevant and stay accessible to anyone involved in developing a data center.”

    “Data centers require seamless integration between electrical and mechanical systems. Power distribution infrastructure must be coordinated with cooling and thermal management to maximize safety, reliability, and efficiency outcomes,” said NEMA President and CEO Debra Phillips. “By partnering on this Framework, NEMA, ASHRAE, and PNNL are giving data center developers a unified approach to system design, enabling them to deploy integrated solutions that optimize both power delivery and thermal efficiency while minimizing risk of equipment failure – and operational disruptions.”

    To further support industry collaboration and knowledge sharing, ASHRAE will host the 2027 Data Center and AI Integration Conference, March 3-5, 2027 in Dallas, Texas. The conference will bring together global experts to explore the intersection of artificial intelligence, infrastructure performance and system integration.

    For additional guidance, including access to the ASHRAE TC 9.9 Datacom Encyclopedia, please visit the ASHRAE Data Center Resource Page at ashrae.org/datacenter.

  • Insurance Professionals Report an Average 17% Rise in Luxury Watch Claims, According to New Research

    10th June 2026 — The Watch Register, the world’s largest and most established international database of lost and stolen luxury watches, reports new research2  that highlights a significant increase in insurance claims relating to the loss and theft of high-value watches.

    The study, conducted amongst 100 insurance loss adjustors and claims managers across the United States, Europe, Asia and the Middle East, reveals that luxury watch-related claims have risen markedly in recent years.  When asked how claims volumes have changed compared to three years ago, two-thirds (67%) of respondents reported an increase of between 10% and 25%, while a further 9% cited even sharper rises of between 25% and 50%.  Overall, insurers reported a mean average increase of 17% in luxury watch claims over the period.  Insurance respondents in Asia reported the highest mean average increase in claim volumes (21%) compared with an average of 15% in the US.

    The findings suggest that the volume of watch-related claims will continue to increase.   More than half (54%) of respondents anticipate claims will rise by a further 10% to 25% over the next three years, while nearly one third (32%) expect increases of between 25% and 50%.  A smaller proportion (2%) predict even more significant growth of up to 75%.  The mean average anticipated increase stands at 24%, underlining the expectation that luxury watch theft will remain a persistent and growing challenge for insurers globally.

    Additionally, given the high circulation of stolen goods on the market, three in four (77%) of insurance respondents report seeing an increase in defective title claims from jewellers’ block policy holders who have unwittingly purchased stolen watches. The majority (83%) of insurers say they are now taking steps to mitigate risk by only paying out defective title claims for watches on the condition that the policy holder has carried out due diligence prior to the transaction by checking a stolen watch database.

    Katya Hills, Managing Director of The Watch Register, said: “Insurance professionals  report a clear rise in luxury watch-related claims, which reflects the high incidence of theft affecting watch owners and jewellers today. Watches are expensive, portable, easy to steal, and highly liquid. The exceptional resale value of watches and high demand for the most desirable models on the secondary market are continuous drivers of theft.  

    “It is more imperative than ever that insurers record the serial numbers for lost and stolen watch claims and report these losses to The Watch Register database to facilitate future detection. The database proactively searches the global pre-owned watch market, maximising the chances of recovery for insurers and their policy holders, and enabling insurers to recoup funds paid out on claims.”

    In 2025 The Watch Register reached a landmark 5,000 lost and stolen watches identified since the service was founded more than a decade ago.  In the past year alone, stolen watches identified by The Watch Register have been traced across 34 countries spanning North and South America, Europe, Asia, North Africa, Australia and the Middle East, underlining both the global scale of the problem and the reach of the platform.