By Shimul Sood A new leak suggests Google may be preparing a more powerful version of Gemini that can manage inbox clutter, generate meeting briefs, and even create custom AI skills.

Source:: Digital Trends

By Manisha Priyadarshini A new AI tool from Cornell researchers helps you make better decisions by spotting contradictions between your stated values and actual choices.

Source:: Digital Trends

By Hisan Kidwai It’s no secret that India’s gaming industry has been growing at an exponential pace for quite…
The post Tencent Returns to India’s Gaming Ecosystem With ₹100 Million Investment appeared first on Fossbytes.

Source:: Fossbytes

By Shimul Sood AI wearables may be heading in a very different direction. These new smart earbuds promise to see, hear, and even remember things for you — all without putting another screen in front of your face.

Source:: Digital Trends

By Deepti Pathak ChatGPT is now one of the most popular tools people use online. From content creation to…
The post How To Fix ChatGPT When It’s Not Working? appeared first on Fossbytes.

Source:: Fossbytes

By Sudhanshu Kumar Mangalam Microsoft Edge is bringing Copilot tab reasoning, Journeys, Voice, and Vision to mobile, giving smartphone users a real reason to try it before Chrome’s Gemini upgrade arrives.

Source:: Digital Trends

By Alina Maria Stan   For ten months, Figma has been a case study in how quickly Wall Street can fall out of love. The company went public on 31 July 2025 at $33 a share, soared past $140 on its debut, and has spent most of 2026 in freefall,  battered by Google’s free Stitch design tool, Anthropic’s Claude […] This story continues at The Next Web

Source:: The Next Web

By Cristian Dina Joshua Kushner’s Thrive Capital has taken a roughly $100 million stake in Shopify, according to Bloomberg, which cited people familiar with the matter. The investment is notable less for its size, $100 million is a rounding error in a firm that raised more than $10 billion for its latest fund, than for what it signals […] This story continues at The Next Web

Source:: The Next Web

Apple has a design for AI life. It hopes to build on the outstanding hardware performance its systems already provide to create a fantastic environment in which AI developers can thrive. If this plan sounds familiar it’s because it’s all about the App Store, and while it’s easy to expect Apple’s revenue share to change, the plan still makes the company the custodian of the AI age.

The way it should work is if app developers see that one way to bring their AI services to billions of iPhones, iPad, and Mac users is to make AI agents available via Apple’s own portals. These will likely be via App Intents, enabling Siri to execute actions inside their apps without actively opening them. 

The Information reports some developers are resistant to joining the initiative, in part because they want to avoid paying any fees. All the same, consider the moment, consider the meaning, and I think the significance is that Apple has at last got its act together with AI.

Ecosystem, services, store

Apple is going to bet that the advantages its existing store provides will give customers the faith and trust to access AI apps there rather than somewhere else. The company hasn’t announced its plan yet, though there have been hints. Just look at how Apple is laying things out with these moves (both announced and speculated about). It’s:

Working with Google to build out Apple Intelligence.

Working with third parties to support AI services as apps with which to replace or supplement Siri.

Maintaining investment in better hardware to run AI — you can quite happily run some models natively on an iPad. 

Equipping systems with powerful tools such as Unified Memory and the Neural Engine.

Rolling out Apple Private Cloud Computer to provide an infrastructure to support private AI in the cloud.

Pulling these elements together to form an ecosystem.

Like a jigsaw, the pieces fit together to provide a fantastic base from which Apple can distribute increasingly powerful AI APIs developers can use to create amazing AI experiences. I spoke with the smart people at the OmniGroup just last year who explained how they already use Apple Intelligence APIs (aka Foundation Models) to add powerful AI features to apps. 

That was just the first lap; the second comes at WWDC 2026; and the third and subsequent races take place over the next 12 to 24 months as Apple implements the elements it’s put in place across its ecosystem. 

Making money, one token at a time

The prize? For Apple, it’s about maintaining its own relevance within the AI age while carving out some way to generate revenue as its hardware ecosystem runs AI agents and services. The company will continue to develop and build out Apple Intelligence as a peer player in the competitive AI market. But, as most now agree, it is also focused on ensuring its platforms are the best systems on which to run AI.

Apple’s attempt to build a profitable, secure, and capable way to run AI — supported by customer-focused security and privacy standards— seems like an answer to some of the emerging challenges around AI deployment. Speak to almost anyone in IT right now and you’ll come across stories of corporate data leaks that may fall foul of data regulation. That’s before you even consider the manner in which AI ownership consolidates power over the intellectual future of humanity into such a small number of hands it almost makes media ownership seem democratic.

Getting the band together

With so much at stake, not just for Apple, it feels as if the company has found some of the answers that could enable a less frightening AI future. It has a chance to own the hardware ecosystem while curating the AI services environment for the benefit of its customers — and producing its own trusted systems for casual AI usage.

We’ll find out more in a few weeks.

You can follow me on social media! Join me on BlueSky,  LinkedIn, and Mastodon.

Source:: Computer World

By Shikhar Mehrotra Developers don’t trust Apple’s Siri commission promise. Apple doesn’t know how to approve AI agents safely. WWDC is three weeks away. Something has to give.

Source:: Digital Trends

By Paulo Vargas Samsung may show Galaxy Glasses at Unpacked in July, pairing Android XR and Gemini with cameras, microphones, and speakers for a voice-first AI wearable tied to the Galaxy ecosystem.

Source:: Digital Trends

By Deepti Pathak OPPO has officially confirmed that the Find X9S and Find X9 Ultra will launch in India…
The post OPPO Confirms Find X9s and Find X9 Ultra India Launch Date appeared first on Fossbytes.

Source:: Fossbytes

As digital tools become more central to its operations, Southwest Airlines is increasingly turning to AI and automation to prevent endpoint issues from affecting the sprawling airline.

The new tools allow the company’s IT team to take a more strategic, rather than reactive, approach to operations, said Derek Whisenhunt, head of end user computing at Southwest Airlines. 

“Bottom line is we now focus our team’s time on proactive and preventative work and increasing the digital employee experience and not waiting for issues to arise before focusing on them,” said Whisenhunt.

Southwest has been steadily digitizing frontline workflows for the past decade, replacing paper-based operational processes with mobile devices and cloud applications for its maintenance, flight operations, and gate services workers — and even cabin crews.

The Dallas-based company has largely digitized operations for its 72,000 staffers — two-thirds of which are in frontline roles — replacing the printed manuals used by pilots and ground operations teams with mobile devices, for instance. 

At the same time, the switch to digital tools has placed even greater demands on IT: the Southwest end user computing team supports around 50,000 employee smartphones and tablets, 20,000 laptops, and 15,000 PCs. 

Problems with end user devices can be costly to the business. With short turn-around times for Southwest’s 800 Boeing 737 aircraft, hardware or software failures on employee devices can quickly affect airline customers. 

Derek Whisenhunt, head of end user computing at Southwest Airlines.
Southwest Airlines

“You’ve seen it, or you’ve experienced this,” said Whisenhunt. “If you go up to a customer service or a gate agent and you can see the line start to extend — or the customers start to get frustrated and the agent’s on the phone with somebody — that’s either a ticket issue or it’s a system issue.

“To me, it’s very personal, because we’re impacting the employees’ experience, we’re impacting our customers’ experience,” he said. “In just that one scenario, we’re drastically impacting our ability to turn aircraft.”

Using remote actions to prevent IT issues

To monitor and manage its fleet of end-user devices, Southwest deployed a digital employee experience (DEX) application from Nexthink several years ago. DEX software is designed to monitor and improve how employees interact with workplace technology, including device performance, application reliability, and IT support interactions.

In recent years Southwest has become more advanced in its use of DEX software, said Whisenhunt. Within its 14-strong endpoint management team, Southwest now has a “full-blown DEX operations team” and a DEX engineering team — with an additional 12 employees — that’s “forward-looking, deploying new products” and managing automations, said Whisenhunt..  

In addition to gathering insights into the performance of devices, Southwest now uses DEX to actively remediate problems. Automation plays a key role here, with Southwest using “remote actions” to automate simple fixes, such as cleaning cache files that had caused Microsoft Teams to crash for users.

The volume of remote actions deployed by the airline has grown significantly in recent years. In 2024, the company conducted 1.1 billion remote actions, equivalent to roughly 13,000 hours saved for employees dealing with IT problems. In 2025, the remote action figure rose to 2.1 billion — with 23,000 hours saved, he said. 

“That’s how important a remote action is.… It’s in that preventative world, where we’re addressing an issue before you even know it.”

Automated remote actions have also helped Southwest avoid hardware upgrades, said Whisenhunt.

The airline has around 8,000 back-office PCs, with as many as 20 employees logging in to each one. Because full Microsoft 365 profiles are downloaded when a user logs in, the PC hard drives fill up and cause performance issues. Remote actions were used to delete user profiles for employees that hadn’t logged in for a week or more – averting the planned purchase of 1-terabyte hard drives to deal with the demands, said Whisenhunt.

Remote actions can also be combined into automated workflows using ‘if/and’ statements to perform more complex actions. 

Over the last month or so, Southwest has automated approximately 5.8 million remote actions “across a range of endpoint health, security, and lifecycle workflows,” said Whisenhunt, the majority of which center on disk space management, with 13 remote actions executed roughly 3 million times to “proactively reclaim disk space.”

The team was able to address a 20% failure rate for its Microsoft SCCM client — used for software and security updates on employee devices — chaining together several remote actions to check the health of the client, restart the service, and, if needed, repair or reinstall the client software.

The DEX platform also integrates with ServiceNow to enable automated ticket generation when users run into technical problems.

“For example, if we see your system had three blue screens of death in 24 hours, a ticket is automatically generated,” he said, working around any  employees who would rather put up with the inconvenience than file a trouble ticket. 

“A lot of people don’t even call the service desk, they’re like, ‘Whatever – reboot, just deal with it. I don’t have time for this.’”

Using AI to boost productivity and empower workers 

In addition to workflow automation, Whisenhunt said AI tools could help boost productivity. Nexthink’s Workspace — an LLM-based conversational assistant — lets staff quickly find information about problems affecting their devices, and can  provide guidance around what tasks to prioritize. 

That’s helped the end user computing team access relevant data faster, he said, “while allowing our analysts and our engineers to focus on what’s more important.”

The team uses Workspace daily, he said, to monitor device health, application performance, security posture, and lifecycle signals. It’s also used to trigger remote actions to correct issues “often before the employee is aware there’s a problem,” said Whisenhunt.

“This has shifted the team from a ticket‑driven, reactive support model to a proactive operations model where we can detect degradation, validate remediation outcomes, and continuously improve stability at scale,” he said. The result has been a reduction in service desk volumes, “faster time‑to‑resolution when issues do surface, improved endpoint reliability, and meaningful recovery of engineering capacity previously spent on repetitive fixes.” 

Southwest plans to roll out Nexthink’s Spark — an AI tool designed to tackle user problems by diagnosing and suggesting simple fixes before contacting IT. A pilot rollout is in the works, said Whisenhunt, starting with the IT team.

“By combining real‑time context from the endpoint with IT‑approved automation and guided remediation, Spark allows users to resolve many issues themselves, in the moment, without opening a ticket or waiting for human intervention,” he said.

Beyond the potential productivity boost, Whisenhunt is taking steps to mitigate possible AI downsides. ‘As with any AI‑driven capability in an enterprise IT environment, we do have healthy concerns around reliability, oversight, and ensuring the right balance between automation and control,” he said

“We are treating trust as something that must be earned over time through strong governance, clear guardrails, and continuous validation of outcomes rather than assuming it from day one.”

Source:: Computer World

What stands out when you first arrive

Walking into a contemporary online casino lobby feels a bit like stepping into a curated arcade that fits in your pocket: vibrant hero banners, quick-preview thumbnails, and a scrolling tapestry of new releases and classics. What stands out immediately is the visual hierarchy — large carousel promotions give way to grid-style sections that separate live dealer tables, slots, and specialty games. The lobby is designed to reduce noise and guide attention, and that first impression often sets the tone for whether the site feels welcoming or cluttered.

Accessibility features, in-lobby notifications, and clear labeling of new or popular titles are often less flashy but equally meaningful. For those interested in comparing how content is organized beyond entertainment sites, an informational reference like https://dayofsilence.org.nz/ illustrates another form of curated presentation that emphasizes clarity and user focus, which is a design principle that translates well to casino lobbies.

Filters and search: the backbone of quick discovery

What to expect when you click the search bar or open the filter panel is a flexible toolkit for narrowing a vast catalog. Modern lobbies commonly provide filtered views by software provider, volatility labels, theme, and newly added titles, and the best implementations make these options feel lightweight rather than overwhelming. Instead of scrolling endlessly, the right combination of filters and a responsive search helps you land on a category or a single game thumbnail in seconds.

• Filter types you’ll notice: provider, game type (e.g., table, spins, live), volatility or RTP badges, and new or featured tags.

• Search behaviors that matter: instant suggestions, auto-complete with thumbnails, and voice or icon-driven search shortcuts are becoming common.

Favorites, playlists, and personalization

The favorites or “My Games” area is where a lobby moves from anonymous catalog to a personalized entertainment hub. Expect to pin titles for fast access, create ad hoc playlists of preferred tables or slots, and see suggested titles based on recent activity without heavy-handed prompts. Personalization shows up in smart ways: reordered lists that put frequently played titles front and center, optional categories you can rename, and saved filters that shorten the path back to preferred views.

• Ways favorites are surfaced: a small heart or pin icon on thumbnails, a dedicated favorites tab, and sync across devices so your list follows you from phone to desktop.

• Playlist conveniences: one-click access, session snapshots that remember where you left off, and the ability to clear or export lists for a tidy experience.

What to expect during a session: flow, load, and micro-interactions

When you click into a game from the lobby, the transition quality often defines the moment. Smooth animations, quick loading previews, and visible session states (such as “table open” or “waiting”) provide reassurance and maintain momentum. Micro-interactions like hover audio previews or brief tooltips add personality without instruction manuals, helping the environment feel energetic and responsive rather than static and stiff.

Designers also use subtle cues — color changes, taglines, and tiny badges — to signal what a title offers at a glance. Expect to see short demo videos or animated thumbnails in many modern lobbies, which give a sense of a game’s energy before you commit to opening it. These small touches are the difference between a list of tiles and a living, browsable collection.

Final snapshot: who will enjoy this approach and what to expect next

For players who value choice and a streamlined browsing experience, a feature-rich lobby that emphasizes filters, search, and favorites will feel empowering rather than gimmicky. The best lobbies strike a balance between discovery and familiarity: they encourage exploration while making it simple to return to what you enjoy. Expect continued refinement in areas like AI-driven recommendations, richer previews, and tighter integration of social or community features that keep the lobby lively.

Overall, the modern casino lobby is less about pushing a single path and more about offering a well-lit hallway full of doors, each door labeled and easy to open. The experience-first design, thoughtful filters, and personalization options are what make browsing the difference between a chore and a genuinely entertaining start to a session.

Il primo impatto: navigare l’offerta senza fretta

Quando si apre una piattaforma di giochi online la prima sensazione è spesso quella di entrare in una sala luminosa, ma dentro lo schermo: suoni curati, grafiche che richiamano temi diversi e una selezione che sembra non finire mai. L’esplorazione è un piacere in sé, fatta di curiosità e di piccole scoperte — titoli che sembrano film, tavoli con atmosfere diverse, e sezioni dedicate a novità o giochi popolari. In questo panorama, alcune guide online citano anche risorse informative e promozionali, come bonus immediato senza deposito e senza documento, presentate più che altro come notizia di contesto piuttosto che come invito formale all’azione.

Divertimento e coinvolgimento: cosa rende l’esperienza piacevole

Il fascino principale sta nella varietà sensoriale: colonne sonore che accompagnano la giocata, animazioni che celebrano una vincita e interfacce pensate per essere intuitive. Molte piattaforme offrono una modalità “osserva” o demo per farsi un’idea del ritmo e dell’estetica prima di dedicare più tempo, e la presenza di modalità live con croupier reali aggiunge una dimensione sociale che ricrea parte dell’atmosfera fisica. Il senso di immersione è spesso quello che trasforma una sessione occasionale in un momento di intrattenimento serale, come una serata al cinema domestico con l’opzione di alternare diversi titoli senza perdere il filo.

Pro e contro: un bilancio gentile

Come ogni forma di intrattenimento, anche i casino online offrono luci e ombre. Di seguito una sintesi dei punti più frequenti che emergono dall’esperienza degli utenti, presentati in modo semplice per orientare la scelta personale senza entrare in istruzioni operative.

• Pro: ampia scelta di giochi, accessibilità 24/7, varietà di temi e ambientazioni, elementi social come chat e tavoli live.
• Pro: aggiornamenti continui che introducono nuovi concept, eventi stagionali e promozioni comunicative che mantengono viva la curiosità.

Aspetti meno brillanti: una visione equilibrata

Non tutto è festa: la stessa ampiezza dell’offerta può confondere, e alcune interfacce risultano pesanti per chi preferisce semplicità. Alcuni giochi possono avere un ritmo ripetitivo e, dopo molte sessioni, il livello di stimolo può calare, richiedendo pause o cambi di attività. Inoltre, la componente sociale è utile per chi ama interagire, ma per altri può risultare dispersiva. Queste considerazioni non intendono scoraggiare, ma offrire una lettura realistica dell’esperienza: intrattenimento ricco, ma con momenti di stanchezza possibile.

• Contro: sovrabbondanza di scelta che può disorientare, potenziale monotonia su titoli ripetuti, talvolta complessità nelle sezioni di supporto o nelle regole interne.
• Contro: alcune funzionalità avanzate sono pensate per chi passa più tempo sulla piattaforma, mentre l’utente saltuario potrebbe sentirsi meno coinvolto nel lungo periodo.

Come integrare il gioco nell’intrattenimento serale

Visto come esperienza di svago, il gioco online si presta a essere parte di una serata rilassata: alternare visite ai casinò virtuali con altri passatempi, scegliere sessioni brevi quando si desidera una pausa e prediligere i momenti in cui ci si sente ricettivi. In termini di atmosfera, può essere piacevole accostare una musica ad hoc, bere qualcosa di caldo o invitare un amico per condividere commenti e risate su una grafica particolarmente riuscita: elementi che enfatizzano l’aspetto ludico e sociale dell’esperienza.

Conclusione: un intrattenimento che dialoga con il gusto personale

In sintesi, i casino online offrono un ventaglio di emozioni e stimoli, ideale per chi cerca varietà e immediatezza nella proposta ludica. La bellezza dell’approccio moderno sta proprio nella possibilità di modulare l’esperienza secondo il proprio ritmo: intensa e immersiva per chi ama l’adrenalina della scena live, leggera e curiosa per chi preferisce esplorare temi e design. Tenendo presente una visione equilibrata, resta un’opzione di intrattenimento serale che può adattarsi a molte diverse preferenze e stili di svago.

Nearly halfway into 2026, enterprises are beginning to see tangible returns on their AI investments. Yet many are discovering that scaling requires something far less glamorous than flashy frontier models and state-of-the-art benchmarking: Clean, interoperable, governed data.

According to a new AI Momentum Survey from Dun & Bradstreet, 97% of organizations report active AI initiatives, but just 5% say their data is ready to support them.

This reflects the messy reality of AI as enterprises struggle to move beyond experimentation to operationalization.

“You do not need enterprise-wide AI-ready data to launch pilots or isolated AI use cases,” said Cayetano Gea-Carrasco, Dun & Bradstreet’s chief strategy officer. “But you do need it to scale AI reliably across mission-critical workflows and systems.”

Early gains seen

Organizations are all-in on AI in 2026 and view it as a mission-critical imperative, according to the D&B report. Well over half (67%) are seeing “early signs or pockets” of ROI, and 24% report “broad or strong” returns.

Further, more than half (56%) of the 10,000 businesses polled by the data and analytics firm say they are planning to increase AI investment in the next 12 months. Around one-third (30%) are scaling AI into production and 26% are operationalizing the technology across multiple core processes.

As adoption rapidly increases, early returns are more common now than even just a year ago, D&B noted, but they still remain uneven. Dovetailing with this, concerns around data readiness are “even more profound” than in 2025.

This is for a variety of reasons, including problems with access to data (reported by 50% of those polled by D&B), privacy and compliance risks (44%), and data quality and integrity concerns (40%). Further, 38% report lack of integration across systems, while 37% say there is a shortage of qualified AI professionals.

Concerningly, however, just a small number of enterprises (10%) say with high confidence that they are able to identify and mitigate AI-related risks.

“The key question is no longer whether organizations are experimenting with AI,” said Gea-Carrasco. “It’s whether they have the data and infrastructure required to deploy AI reliably at enterprise scale.”

He noted that it’s relatively easy for enterprises to launch copilots, chat interfaces, or departmental AI tools using general-purpose models and get “impressive results in a controlled environment.” But far fewer are able to deploy AI into production workflows, where accuracy, accountability, explainability, interoperability, and consistency directly impact business decisions. This includes areas like onboarding, compliance, risk management, and customer operations. “That’s where data readiness becomes critical,” said Gea-Carrasco.

The data hurdle

The challenges around data are only compounded as enterprises move from copilots to more autonomous agentic workflows. “Most enterprise data environments were built for human workflows, not autonomous AI systems operating continuously across the business,” he pointed out.

While AI systems can produce outputs that sound coherent, they can be difficult to trust operationally, due to hallucinations, conflicting recommendations across systems, and compliance issues, Gea-Carrasco noted. This is problematic for all enterprises, but particularly for those in regulated industries like banking, insurance, healthcare, and financial services, where trustworthy and auditable outputs are “non-negotiable.”

Organizations seeing the most progress are those working to ensure that their data is high-quality, reliable, and governed. They are investing in consistent identity resolution and data interoperability and maintenance, so that AI can “reliably consume” and act on information, he explained.

Where enterprises are seeing ROI

Enterprises are beginning to see ROI in areas where underlying data environments are more mature, thus making it easier for AI to be directly embedded into real workflows, according to Gea-Carrasco. This includes areas like sales intelligence, onboarding, compliance workflows, customer research, risk analysis, workflow automation, prospecting, screening, supplier evaluation, and business verification.

ROI is typically reflected in reduced manual research, faster onboarding and review cycles, improved operational consistency, accelerated sales workflows, and better decision support for employees, he said. “In many cases, organizations are using AI to help teams process and synthesize large amounts of information significantly faster than before.”

He emphasized that AI is most successful when it augments existing operational processes rather than fully replacing human decision-making. “Organizations are finding success where AI helps employees work faster, make better decisions, and it reduces repetitive manual work while humans remain involved in oversight and final approvals,” he said.

Enterprise approach to agentic AI

Agentic AI is beginning to enter production environments, although it is “still relatively early and targeted,” Gea-Carrasco pointed out.

Most enterprises today are deploying agents that are narrowly scoped rather than fully autonomous, he said. The near-term pattern is supervised autonomy, where agents execute portions of workflows while humans remain involved in approvals, oversight, and exception handling. Thus, agents are entering what he referred to as “clearly defined workflows,” such as research, onboarding support, and workflow orchestration.

Over the next several years, AI will move from standalone copilots to more connected agentic systems embedded directly into enterprise workflows, he noted. They will increasingly coordinate work across customers, suppliers, partners, employees, and enterprise apps. Agents will likely become ever more prominent in workflows around sales operations, onboarding, compliance, procurement, customer research, risk management, supplier evaluation, and monitoring.

“Enterprise AI is becoming less about isolated productivity tools,” said Gea-Carrasco, “and more about building intelligent operational systems that can support decision-making and workflow execution at scale.”

This article originally appeared on CIO.com.

Source:: Computer World

There are conflicting signals about whether AI is creating or destroying jobs, though many companies have blamed the technology for recent cuts. 

Analysts and industry experts say the reality is more nuanced: jobs being lost now to AI will likely reappear elsewhere, especially for those with hands-on AI experience.

In other words, while AI may be reshaping the labor market, it is not eliminating the need for talent. “We are seeing a shift toward the type of talent employers need and the expectations they have for impact,” said Kye Mitchell, head of Experis US.

Though hiring for entry-level jobs is under pressure as AI absorbs more routine work, that doesn’t eliminate opportunity, she said. “It changes the expectations. Employers now expect candidates to come in with hands-on experience, AI familiarity, and the ability to contribute faster.”

While reductions in headcount are real, the savings from cutting those jobs will reappear elsewhere in hiring for other roles or tasks, said Deepak Seth, senior director analyst at Gartner.

For example, though Claude Code might help IT leaders reduce the number of developers they have on hand, one faulty software rollout could lead to new hiring to fill gaps, Seth said. “Maybe you need to hire more quality testers in another group. Maybe you need to hire more people to train people on how to use these tools,” Seth said.

One thing seems clear: AI is indeed affecting young workers and suppressing entry-level wages. And it goes companies a rationale to do layoffs.

Many big tech companies are attributing large job cuts to AI, Andy Challenger, workplace expert and chief revenue officer for Challenger, Gray & Christmas, said in a May 7 blog post. 

April was particularly brutal for AI-related layoffs, with some top IT firms cutting positions due to efficiencies from AI. “They are also often citing AI spend and innovation. Regardless of whether individual jobs are being replaced by AI, the money for those roles is,” Challenger said.

Opinions vary among workers about whether AI is taking jobs away, according to a study published last month by ADP Research and the Stanford Digital Economy Lab.

Though young workers are especially worried AI will slow job creation in some sectors, more experienced workers are sanguine about losing their jobs, Stanford and BCG said in separate studies.

“There appears to be less cause for concern about widespread job displacement … particularly those in occupations with high experience premiums in which AI is likely to complement the worker’s tacit knowledge,” BCG said in its study “AI will reshape more jobs than it replaces.”

LinkedIn in a January labor report went a step further and projected that AI had created 1.3 million new jobs globally. The jobs were in the areas such as data annotators, forward-deployed engineers and AI engineers.

Microsoft cited the LinkedIn report in its recent Work Trend Index study, and said AI is  creating a new operating model allowing companies to be smarter and more efficient.

But the company sidestepped the larger issue of how AI is affecting the job market. “Some jobs will change. Some will go away. And many that don’t exist yet will emerge,” Microsoft said in the study.

Source:: Computer World

By Sudhanshu Kumar Mangalam After years of using Alexa to answer questions, control smart homes, play music, and handle everyday tasks, Amazon has found a more obvious job for it. Alexa is becoming your personal shopper, meant to help you find what you need faster and get it into your cart with fewer second thoughts. Amazon is rolling out […]

Source:: Digital Trends

By TNW Deals AI tools are everywhere, so why do most people still use them like it’s 2015? Artificial intelligence now sits inside almost every tool you open, from search engines and office apps to browsers, phones, and creative software. Updates keep adding assistants, copilots, and generators, each one promising to change how work gets done. On paper, […] This story continues at The Next Web

Source:: The Next Web

By Alina Maria Stan The new mode runs Meta AI on WhatsApp inside the company’s Private Processing enclave, with conversations deleted by default and no server-side record retained. Meta has launched an Incognito Chat mode for Meta AI on WhatsApp and the Meta AI app, an effort to address the awkward fact that its assistant, like every other major […] This story continues at The Next Web

Source:: The Next Web