AI News Archive: June 25, 2026 — Part 7
Sourced from 500+ daily AI sources, scored by relevance.
- Clyde & Co Survey Shows Rapid Escalation of AI, Geopolitical Risks
Technology is moving extremely fast, and a recent Clyde & Co survey of global business leaders has found that associated risks are weighing heavily. According to the law firm’s latest Corporate Risk Radar, 86% of leaders—CEOs, CFOs, COOs, general counsel, …
- AIUC-1: Building trust in AI agents
How do we build trust in AI agents before the AI hailstorm arrives? Emil Lassen from the Artificial Intelligence Underwriting Company (AIUC) joins the show to discuss how the enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents. They explore the AIUC-1 framework, the challenges of securing agentic AI systems, and why red teaming (based on standards) may be key to accelerating enterprise AI adoption. Featuring: Emil Lassen – LinkedIn Daniel Whitenack – Website , GitHub , X Links: Artificial Intelligence Underwriting Company Sponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Upcoming Events: Register for upcoming webinars here ! Midwest AI Summit 2026
- Why world models alone will not solve robotics’ deployment problem
SenseTime co-founder Wang Xiaogang discusses the complexity of embodied intelligence through the lens of ACE Robotics.
Score: 45🌐 MovesJun 25, 2026https://kr-asia.com/why-world-models-alone-will-not-solve-robotics-deployment-problem - Identiverse 2026 Recap: Identity Security For Agentic AI Dominates
Last week’s Identiverse conference in Las Vegas left no doubt that the scope and importance of identity security is now magnified. Identiverse 2026 underscored the current transition in identity security as organizations grapple with an expanding universe of identities beyond humans. As Ping Identity CEO Andre Durand framed it in his opening keynote, the industry […]
Score: 44🌐 MovesJun 25, 2026https://www.forrester.com/blogs/identiverse-2026-recap-identity-security-for-agentic-ai-dominates/ - Will AI Take Your Job? Economist Says This Is What's Missing From The Great AI Debate
Clifford Winston, a nonresident senior fellow at the Brookings Institution, joined "Forbes Newsroom" to discuss the economic impacts of AI.
- It only takes one fake web page to fool AI shopping bots, study finds
AI shopping assistants are popping up all over the internet, changing how we browse, compare and discover products. However, these helpful tools appear to have a serious security flaw. According to a paper published on the arXiv preprint server, a single manipulated web page can trick an AI assistant into promoting a fake product to unsuspecting customers.
- AI's growing influence in healthcare
AI's growing influence in healthcare marketplace.org
Score: 44🌐 MovesJun 25, 2026https://www.marketplace.org/episode/2026/06/24/ais-growing-influence-in-healthcare - Luminance’s boss: Why building our own AI beats ‘rented intelligence’
Amid a surge of legal AI tech firms coming to marker, concerns are emerging about ‘rented intelligence,’ with some companies criticised for simply putting their logos on technology developed by others. In contrast, Luminance insists it is focused on the bigger picture, betting its future on AI models it has built in-house. Speaking to City [...]
Score: 44🌐 MovesJun 25, 2026https://www.cityam.com/luminances-boss-why-building-our-own-ai-beats-rented-intelligence/ - MBTA Orange Line extension plan used error-filled AI map
MBTA Orange Line extension plan used error-filled AI map The Boston Globe
- Value creation: Your US$900M AI is failing because humans don’t work the way you think
Olive AI raised US$902 million, deployed automation across 900 hospitals in 40 states, and was valued at US$4 billion at its 2021 peak. By October 2023, it was gone. Not because the AI failed — but because a routine Epic module update broke the bots, and hospitals found themselves adding human monitoring on top of […] The post Value creation: Your US$900M AI is failing because humans don’t work the way you think appeared first on e27 .
Score: 43🌐 MovesJun 25, 2026https://e27.co/your-us900m-ai-is-failing-because-humans-dont-work-the-way-you-think-20260303/ - Anthropic is testing desktop-like Claude Cowork for mobile
Anthropic appears to be testing Claude Cowork support on mobile, allowing you to manage long-running Claude tasks from your phone. [...]
- AI adoption stalls as organisations struggle with collaboration and workflow gaps
Many Indian businesses are failing to leverage AI for real productivity gains, a global study reveals. The primary hurdle is a 'collaboration gap' – a lack of structured workflows and shared processes for human-AI teamwork. Without clear guidelines and review mechanisms, AI adoption often remains siloed, hindering significant business impact and leading some to abandon initiatives due to quality concerns.
- CRS tried to use AI, but less than 3% of results met their standards, director says
The Congressional Research Service told a House panel that $1.6 million would help hire AI-focused staff and obtain a confidential and specialized model to boost result accuracy. The post CRS tried to use AI, but less than 3% of results met their standards, director says appeared first on FedScoop .
Score: 43🌐 MovesJun 25, 2026https://fedscoop.com/crs-tried-to-use-ai-but-less-than-3-of-results-met-their-standards-director-says/ - Google.org is funding three long-term partners on education and AI.
a person in a classroom
Score: 43🌐 MovesJun 25, 2026https://blog.google/company-news/outreach-and-initiatives/google-org/education-ai-funding/ - HKEX pushes deeper into index business as AI reshapes Hong Kong market
Hong Kong Exchanges and Clearing (HKEX) is expanding into the index business with plans to launch more proprietary benchmarks and related investment products, as traditional market gauges have lagged regional peers during the artificial intelligence-driven technology rally. The operator of Hong Kong’s stock exchange will debut the first exchange-traded fund (ETF) tracking its HKEX Tech 100 Index on Friday. The index, launched on December 9, tracks the 100 largest technology companies listed in...
- IndiaMART doubles down on AI to curb fake listings, improve buyer interaction
IndiaMART doubles down on AI to curb fake listings, improve buyer interaction Reuters
- How Caryn Sandler is Shaping the Future of Legal Innovation
Profile of Caryn Sandler’s impact on legal AI innovation.
Score: 42🌐 MovesJun 25, 2026https://www.harvey.ai/blog/caryn-sandler-is-shaping-future-of-legal-innovation - Elsevier’s ClinicalKey Student adds StudyFinder AI to quickly connect medical students to trusted, verifiable content for more efficient studying
Elsevier’s ClinicalKey Student adds StudyFinder AI to quickly connect medical students to trusted, verifiable content for more efficient studying EurekAlert!
- Why South Korea’s AI Stock Mania Is a Warning
South Korea’s stock market has surged about 200% year-on-year, powered by an AI-fueled chip rally. But extreme volatility and heavy reliance on two companies may mean it’s a bubble waiting to burst. (Source: Bloomberg)
Score: 42🌐 MovesJun 25, 2026https://www.bloomberg.com/news/videos/2026-06-25/korea-s-stock-mania-warning-video - Health systems must shift AI use from automation to transformation
Health systems must shift AI use from automation to transformation Healthcare IT News
Score: 42🌐 MovesJun 25, 2026https://www.healthcareitnews.com/news/health-systems-must-shift-ai-use-automation-transformation - AI not yielding meaningful return for nearly half of business leaders: BDO report
AI not yielding meaningful return for nearly half of business leaders: BDO report Toronto Star
- CDNetworks Launches New Solution to Accelerate and Secure AI Aggregation Platforms Worldwide
CDNetworks Launches New Solution to Accelerate and Secure AI Aggregation Platforms Worldwide The Straits Times
- AI services to agentic AI: Nekko is building its next growth engine for business process transformation
AI services to agentic AI: Nekko is building its next growth engine for business process transformation YourStory.com
Score: 42🌐 MovesJun 25, 2026https://yourstory.com/2026/06/ai-services-to-agentic-ai-nekko-is-building-its-next-growth-engine - Why AI firms are turning to philosophers
Philosophy is becoming integral to the development of AI, but some critics accuse the industry of ‘ethics-washing’
- From pilot to production: why AI needs next-generation data organization
From pilot to production: why AI needs next-generation data organization IT Pro
- Unryo Lets Network Operators Run Agentic AI Without Surrendering Data Sovereignty
Unryo Lets Network Operators Run Agentic AI Without Surrendering Data Sovereignty azcentral.com and The Arizona Republic
- How Are Payers and Providers Thinking of AI and Cybersecurity?
How Are Payers and Providers Thinking of AI and Cybersecurity? MedCity News
Score: 41🌐 MovesJun 25, 2026https://medcitynews.com/2026/06/how-are-payers-and-providers-thinking-of-ai-and-cybersecurity/ - Customers Are Ditching Companies That Force Them to Talk to an AI Agent
"Ultimately, what consumers are signaling is utter exhaustion." The post Customers Are Ditching Companies That Force Them to Talk to an AI Agent appeared first on Futurism .
Score: 41🌐 MovesJun 25, 2026https://futurism.com/artificial-intelligence/customers-fed-up-ai-service-agents - La métrica que hizo tropezar la estrategia ‘AI-first’ de Duolingo
En abril de 2026, el CEO de Duolingo, Luis von Ahn, reconoció que la compañía había retirado uno de los elementos más delicados de su estrategia de inteligencia artificial: el uso de IA dejaba de contar en las evaluaciones de desempeño de sus empleados . Lo llamativo es que, un año antes, una crisis pública en toda regla no había conseguido cambiar su estrategia ni un milímetro. El primer debate se abrió en la primavera de 2025, cuando Duolingo se declaró ‘AI-first’ . Ahí saltó la discusión habitual de la IA frente a las personas. Prendió rápido: usuarios borrándose la app y las redes de la marca inundadas de críticas. Von Ahn resolvió con oficio la crisis reputacional: aclaraciones, matices y un tono más suave. Le funcionó. El fuego se apagó, la estrategia siguió intacta y la empresa continuó creciendo. Pero se había abierto un segundo debate, menos visible pero igualmente importante: el de la evaluación de los empleados. Ese no se aplacaba con una nota de prensa. Fuera apenas trascendió: lo que una empresa haga con sus evaluaciones internas no provoca bajas masivas ni incendia TikTok. Dentro fue otra cosa. No hubo clamor, pero sí una objeción de fondo. Y esta vez el CEO cedió. La comunicación fue casi inversa a la del año anterior: no hubo gran rectificación pública ni operación de imagen. Von Ahn lo mencionó casi de pasada en un podcast: esa métrica se había retirado. Una crisis pública no movió la estrategia . Una objeción interna, sí. Lo interesante no es tanto la diferencia de comunicación como la razón de fondo. ¿Tan grave era pedir a los empleados que usaran la IA? ¿ Por qué hubo que dar marcha atrás ? Cuando la métrica convirtió la IA en obediencia Todo empezó por un efecto de deslumbramiento. La IA revolucionó la productividad de Duolingo en la creación de contenido: los primeros 100 cursos costaron doce años; con IA llegaron 148 en menos de uno . Espectacular, visible y medible. El razonamiento que vino después era inevitable: si la IA es capaz de esto, aún conseguirá más cuanto más se use. Así que el uso pasó a contar en las evaluaciones . Sin embargo, esa decisión cambió la motivación para usar la IA dentro de la empresa. Dejó de ser un acelerador y se convirtió en un objetivo en sí mismo. Y los objetivos están para cumplirse: la gente empezó a usar la IA para que el número subiera, no necesariamente porque le ayudara a trabajar mejor. El indicador medía obediencia , no resultados. Y los empleados empezaron a hacerse una pregunta incómoda: ¿la empresa quería que usaran la IA porque les servía, o que la usaran y punto? Pronto empezaron a aparecer los límites. En la generación de historias, los resultados fueron distintos a los previstos: una cosa es que la IA escriba una historia convincente en una demo; otra, producir alrededor de mil historias para aprender un idioma y descubrir que cerca del 20% sale inservible . En el código, reconoce el propio von Ahn, la IA todavía no gana a un buen ingeniero : lo que escribe puede costar más de depurar de lo que ahorra. El camino bueno es rapidísimo; el malo se come más tiempo del que parecía liberar. Severin Hacker y Luis von Ahn, cofundadores de Duolingo. Duolingo Esto demostró que la empresa tenía puntos ciegos con la IA . El impacto de la IA es desigual: brilla en unas tareas, pero estorba en otras. Ese era el error de fondo. Pero eso no se ve en una métrica que registra cuántas veces se recurre a la herramienta, no si era la adecuada. Y al exigir IA en todo, garantiza una sola cosa: que acabe en todos los lados, incluidos aquellos donde es un obstáculo. Al final, el propio CEO se dio cuenta. Cuando retiró la métrica lo explicó sin rodeos: lo que importa es que cada uno haga su trabajo lo mejor posible; muchas veces la IA ayuda, pero cuando no, forzarla no tiene sentido . Lo dice quien declaró su empresa ‘AI-first’. En otras palabras, el hombre más convencido de la sala admitiendo que evaluar por el uso no funcionaba. ¿Qué mide un CIO cuando mide la IA? Muchas de las métricas de IA que se usan hoy son, por debajo, métricas de uso disfrazadas . Tokens consumidos, licencias activadas, porcentaje de código asistido: suenan a impacto, pero todas cuentan algo parecido, cuánto se recurre a la herramienta. Y la corriente empuja en esa dirección. Jensen Huang, fundador de Nvidia, ha llegado a decir que esperaría que un ingeniero utilizara el equivalente a la mitad de su salario en tokens . La presión por meter la IA en la narrativa de la empresa , sea como sea, es real. Pero ninguna de esas cifras dice por sí misma si la IA ha dado resultados. Entonces, ¿cómo medir? Lo mejor es empezar sin condicionantes. No preguntarse primero cuánta IA se usa, sino qué ha cambiado . Si la IA ha acortado un proceso, mejorado una decisión o crear algo que antes no existía. Si se mide el tiempo, hay que distinguir entre el tiempo que la IA parece ahorrar en una tarea y el tiempo útil que realmente libera al final del proceso. Este enfoque abre la puerta a resultados menos vistosos, pero más útiles. Un ensayo controlado de 2025 con programadores expertos , mostró un resultado inesperado: tardaban un 19% más con IA que sin ella y, aun así, estaban convencidos de haber ido más rápido. El dato no sirve para concluir que la IA no funciona en programación. Sirve para algo más importante: recordar que la percepción de velocidad no basta . Hay que medir objetivamente el resultado final, porque incluso usuarios expertos pueden confundir sensación de productividad con productividad real. Las métricas que van más allá del uso indiscriminado permiten decidir dónde tiene sentido aplicar IA, en vez de forzarla sobre procesos que no la pedían para poder decir que ya se usa. Solo así se sabe dónde concentrar recursos, dónde rediseñar procesos y dónde soltar. Hay además una pregunta que casi nunca se hace: ¿ para quién es la métrica ? Se habla mucho de los indicadores hacia el comité, hacia los accionistas o hacia fuera. Pero dos indicadores pueden parecer idénticos y servir, sin embargo, a fines opuestos. Uno existe para que la empresa pueda decir que usa IA. El otro, para que el empleado que la usa aprenda a sacarle partido. Y nadie conoce mejor que ese empleado dónde la IA le ahorra una mañana entera y dónde se la hace perder revisando un texto con errores o un código que no compila. En conclusión, una organización termina pareciéndose a lo que mide . Elegir las métricas de IA no es una tarea técnica que se delega: es elegir en qué se convierte la empresa . Si se mide el uso, se tendrá uso. Si se mide el resultado, se tendrá una organización que emplea la IA donde de verdad sirve. El impacto del CIO en relación con la IA no depende de que se use mucho en la organización. La IA sigue reescribiendo la función del CIO , y una parte de esa redefinición pasa por las métricas que pone delante de la empresa. Este es solo uno de los frentes. La IA está cambiando las métricas, pero también el talento, los procesos, la relación con negocio y la forma en que se reparte el conocimiento dentro de la empresa. Seguiremos explorando cómo todo ello redefine la función del CIO.
Score: 41🌐 MovesJun 25, 2026https://www.cio.com/article/4189483/la-metrica-que-hizo-tropezar-la-estrategia-ai-first-de-duolingo.html - Is AI Good at Stock-Market Timing? A New Study Casts Doubt
Research finds that while large-language models may work well initially, they don’t outperform the market over long periods and in changing conditions.
Score: 41🌐 MovesJun 25, 2026https://www.wsj.com/tech/ai/ai-stock-market-trading-research-154eeb72?mod=rss_Technology - Tunisia’s RoboCare secures funding to accelerate precision agriculture in Africa, Middle East
Tunisian startup RoboCare, which specialises in precision agriculture and artificial intelligence applied to the agricultural sector, has secured a six-figure investment from 216 Capital. Founded in Sfax, RoboCare develops an agricultural management platform that helps farmers make better decisions through the intelligent use of multiple data sources – satellite imagery, drone data, IoT sensors, weather [...] The post Tunisia’s RoboCare secures funding to accelerate precision agriculture in Africa, Middle East appeared first on Disrupt Africa .
- Why teaching robots is more like raising toddlers than programming computers
Why teaching robots is more like raising toddlers than programming computers CSIRO
- Amazon’s big Prime Day pitch is its AI assistant. Is it working?
It’s a big moment for Amazon. The online retail giant’s misnamed Prime Day, which actually stretches across half a week and ends June 26, is in full swing, with blockbuster discounts on a vast swathe of products. But rather than leaving shoppers to click, compare, and hunt for deals on their own, Amazon is pushing its AI tools hard. Videos touting the ability to integrate Alexa, or Rufus, Amazon’s AI text chatbot, into the shopping experience are a new addition this year. An interesting Prime Day video featuring Amazon Alexa. 👀 Quick poll: When shopping on Amazon now, what do you use more often? 🟢 Alexa 🔵 The search bar pic.twitter.com/bdiWEng7ze — Can Chan｜ TikTok AI (@canchanai) June 25, 2026 It’s a sign of how the company sees the future of online retail, and the strategy is backed up by broader consumer trends. More than half of U.S. shoppers are now willing to let AI handle the entire shopping process, including the final purchase, once their preferences are set, according to payments platform Adyen. Early signs suggest that Amazon’s use of AI, and shoppers’ own use of AI, has been effective. Adobe, which tracks online shopping behavior during Prime Day and other events, says traffic from AI sources has converted into sales 50.7% better than traffic from non-AI sources. Shoppers who arrived at Amazon from AI sources also spent nearly half as long on the site as other visitors. But when it comes to concrete evidence of success within Amazon’s own tools, the picture is murkier. Experts say that may come down to the unpredictable habits of shoppers. There’s a gap between how Amazon imagines its AI tools being used and how bargain-hunting shoppers are actually using them, says Julian Skelly, managing partner for retail at Publicis Sapient. For now, he says, many shoppers are turning to tools like Rufus mainly to verify whether a discount is real. That may be helpful, but it falls short of Amazon’s larger ambition. “They want it to be a shopping companion,” he says, “rather than what is at the moment, which is more of a fact-checker.” The split between Amazon’s intended use case and shoppers’ actual behavior is partly a function of timing. The technology is still new, and consumer habits can take time to shift. But Skelly says Amazon’s tools also have limitations. Shoppers want an AI assistant that can offer genuinely tailored recommendations based on their individual interests. “That needs much richer data about the person asking,” he says. “Most of these tools are working from fairly shallow signals at the moment.” And that may change as adoption grows. Of course, where Amazon leads, other retailers are likely to follow. That means the shopping experience could change significantly, both for consumers and for the companies selling to them. AI agents do not shop the way humans do. A person looking at a product page may respond to images, layout, and polish, Skelly says. An AI agent, by contrast, needs structured information. Today’s product pages might include a dozen or so key details, but an agent may need far more data to make a useful recommendation. That shift would also change how shoppers move through online stores in the first place. Ella Kersey, growth lead at the digital consumer experience agency Brandwidth, says tools like Rufus and Alexa are already making product discovery feel less like search and more like conversation. Rather than scrolling through pages of results, shoppers can increasingly ask a question and receive recommendations almost immediately. That speed can be useful for both consumers and Amazon—the latter of whom has every reason to shorten the path between interest and purchase. For retailers, collapsing the time between considering a purchase and making one is valuable. But AI could also make shoppers more discerning, and possibly reduce one of online retail’s biggest headaches: returns. “Ultimately, Amazon’s AI is both helping consumers buy more efficiently while also encouraging them to scrutinize what they buy,” says David Jennison, managing director for Europe at the ecommerce accelerator Pattern.
- Gate Launches Gate.AI Full-Lifecycle Large Model Management Platform: Strengthening Unified Access and Enterprise Governance
Gate Launches Gate.AI Full-Lifecycle Large Model Management Platform: Strengthening Unified Access and Enterprise Governance USA Today
- Goodbye to tokenmaxxing and hello to token efficiency
Goodbye to tokenmaxxing and hello to token efficiency The Straits Times
Score: 40🌐 MovesJun 25, 2026https://www.straitstimes.com/opinion/goodbye-to-tokenmaxxing-and-hello-to-token-efficiency - AI pilots don’t create enterprise value. Operating models do.
By- Sheenam Ohrie, Managing Director, Broadridge India The next competitive advantage in AI will not come from more pilots, but from building the enterprise around them. Enterprises are moving quickly […] The post AI pilots don’t create enterprise value. Operating models do. appeared first on Express Computer .
Score: 40🌐 MovesJun 25, 2026https://www.expresscomputer.in/news/ai-pilots-dont-create-enterprise-value-operating-models-do/136252/ - How a Kentucky school district is scaling writing feedback with Gemini
An abstract illustration of the Gemini interface on a tablet, surrounded by colorful 3D icons including a graduation cap, stylized people, and a four-pointed star.
Score: 40🌐 MovesJun 25, 2026https://blog.google/products-and-platforms/products/education/henry-county-public-schools/ - Repositioning retail for the AI era
Artificial intelligence is rapidly reshaping retail, but not in the ways consumers might immediately notice. The biggest transformation may not be flashy virtual try-ons or chatbot shopping assistants, but in how decisions are made behind the scenes: how products surface in search results, how inventory moves through supply chains, how engineers ship code faster, and…
Score: 40🌐 MovesJun 25, 2026https://www.technologyreview.com/2026/06/25/1137848/repositioning-retail-for-the-ai-era/ - How agents are transforming work
A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles.
- Vector RAG Isn’t Enough — I Built a Context Graph Layer for Multi-Agent Memory
I benchmarked raw chat history, vector-only RAG, and a context graph on the same multi-agent conversations. The results exposed a surprising weakness in relational retrieval. The post Vector RAG Isn’t Enough — I Built a Context Graph Layer for Multi-Agent Memory appeared first on Towards Data Science .
Score: 40🌐 MovesJun 25, 2026https://towardsdatascience.com/vector-rag-isnt-enough-i-built-a-context-graph-layer-for-multi-agent-memory/ - JP Morgan's AI scorecard ranks India high on promise, but low on delivery
A JP Morgan report tracking AI readiness across four global indices finds India strong on research and talent, but trailing on infrastructure, adoption and government deployment
- The Two Greatest Opportunities of the AI Economy
The Two Greatest Opportunities of the AI Economy Time Magazine
Score: 40🌐 MovesJun 25, 2026https://time.com/article/2026/06/25/the-two-greatest-opportunities-of-the-ai-economy/ - STAT+: At BIO 2026, industry wrestled with Washington politics, and making AI work better
Biotech executives reveal concerns over Chinese biotech, the profitability of AI, and the durability of Trump's drug price moves.
Score: 40🌐 MovesJun 25, 2026https://www.statnews.com/2026/06/25/bio-2026-biotech-conference-san-diego-key-takeaways/?utm_campaign=rss - Jim Keller: ‘AI Still Obeys the Old Laws of Compute’
Invoking Rent's Rule and Amdahl's Law, Keller argues that memory and communication, not bigger processors, will define the future of AI infrastructure The post Jim Keller: ‘AI Still Obeys the Old Laws of Compute’ appeared first on EE Times .
Score: 40🌐 MovesJun 25, 2026https://www.eetimes.com/jim-keller-on-tenstorrents-blackhole-scaling-and-ipo-ambitions/ - Amid Amazon's Robot Surge, Proteus Charts a New Path Forward
Many of your Prime Day orders are being handled by Roomba-esque bots as part of Amazon's quest to deliver packages faster.
Score: 40🌐 MovesJun 25, 2026https://www.cnet.com/tech/amid-amazons-robot-surge-proteus-charts-a-new-path-forward/ - Anthropic Customers Find Errant Charges, Auditing Startup Says
Anthropic Customers Find Errant Charges, Auditing Startup Says The Information
- Nutanix says software companies will fail in GenAI era only if they’re not critical
As generative AI reshapes software, Nutanix's CEO emphasizes the company's integral role in technology infrastructure. Despite recent declines in market value, Nutanix remains confident in its growth potential, focusing on essential software that cannot be easily replaced by automation.
- Nobel-prize winning economist Professor Daron Acemoğlu discusses the future of AI at Q&A session
Nobel-prize winning economist Professor Daron Acemoğlu discusses the future of AI at Q&A session University of Oxford
- AI for Employment Contract Review: What to Check and What to Flag
Guidance on key elements to review in employment contracts using AI.
- Rethinking quality engineering in the age of AI
The software industry's focus on speed has outpaced quality engineering, creating hidden risks in AI-led development. Traditional testing struggles with modern, dynamic software. AI-powered platforms are transforming quality from a bottleneck into an advantage by enabling self-learning, automated testing. This shift is crucial for businesses to maintain customer trust, reduce operational risk, and achieve competitive speed and reliability in today's market.