Latest news with #GenerativeAI
Yahoo
a day ago
- Business
- Yahoo
Carrier, IBM launch AI-driven maintenance upgrades
This story was originally published on Facilities Dive. To receive daily news and insights, subscribe to our free daily Facilities Dive newsletter. Carrier and IBM this week each released AI-powered tools that aim to help building operators improve their maintenance operations. Both highlight the ongoing push by vendors to meet demand for data-driven insights and automation that can improve efficiency in the facilities management sector. Almost half of building operators believe that AI could have a significant impact on improving the efficiency of preventive maintenance and scheduling, according to a December report by JLL subsidiary Building Engines, which surveyed 370 commercial real estate professionals in collaboration with Building Owners and Managers Association International. On Wednesday, Carrier announced upgrades to its Abound Insights Assistant app that analyzes equipment performance across building portfolios and provides insights to building owners through the app, including recommendations for over 25 categories of equipment in commercial buildings, including HVAC, refrigeration and controls, the company says. The tool alerts users with detailed information about problems and warnings that can help to schedule a site visit for inspection and complete maintenance, the company said in a release. For example, when there is a suspected refrigerant leak in the chiller, the system can warn there may be a risk of potential compressor damage, allowing technicians to show up prepared, Carrier says. An equipment health dashboard within Carrier Abound also shares information on energy efficiency and potential failures that can be filtered by equipment categories, with users able to prioritize and allocate tasks based on the health of connected systems and skills required for each task. Located within the 'To-Do List' feature, each task for equipment also includes AI-generated repair recommendations and service history, Carrier says. IBM on Wednesday released a new version of its Maximo application suite that the company says is designed to help clients deploy asset lifecycle management in the data and AI era. The software provides capital planning tools and a Generative AI assistant that can help users engage with asset data through natural conversation. The upgrades are meant to enable the proactive maintenance of assets, IBM says. In order to help plan capital allocations for projects , Maximo can also generate and compare multiple scenarios for investment in assets based on business priorities; the Asset Investment Planning tool will provide weighted analysis and multi-objective optimization to balance cost, risk and performance, IBM says. The company also added space management features to help optimize workspace use, lease administration and accounting capabilities. Together, IBM says Maximo now provides a 'comprehensive solution for real estate and facilities management.' Recommended Reading FM Technology Outlook: Will AI lead to efficiency gains in 2025?
Forbes
a day ago
- Business
- Forbes
Is Your Business Ready For AI Or Just Chasing Hype?
Tod Loofbourrow, Chairman and CEO, ViralGains. Generative AI is rewriting the rules of marketing, and many brands are scrambling to keep up. But here's a reality check: by the end of 2025, Gartner predicts that 30% of GenAI projects will be abandoned before delivering any business value. This is because adopting AI isn't about deploying shiny new tools; it's about aligning technology with real business problems, building the right data foundation, managing risk and, most importantly, understanding where AI can actually move the needle. Right now, too many marketers are chasing AI for the optics, not the outcomes. Across the C-suite, "AI strategy" has become the must-have line item, especially in marketing. Promises of hyper-efficiency, real-time targeting, infinite personalization and generative scale have leaders greenlighting AI projects left and right. But a lot of these initiatives stall before launch. Worse yet, they fail to perform to expectations. This is because while the tech is impressive, the implementation is messy. Core questions—How will this drive ROI? Do we have the right data? Is this even the right use case?—often go unasked. This is the danger of AI FOMO: investing reactively, not strategically. The antidote? A framework that aligns AI opportunity with actual business relevance. If businesses want to cut through the hype, they need to ensure they have a thorough framework in place. Harvard Business Review, for example, introduced the WINS framework—a powerful lens to assess where GenAI can drive the most impact. WINS refers to the four dominant types of work GenAI can enhance: • Words (like ad copy, scripts and reports) • Images (visual assets, design and branding) • Numbers (analytics, forecasting and segmentation) • Sounds (audio branding, voice AI and podcasts) For marketers and advertising agencies, this should be viewed as core work. Your campaigns, strategies, insights and outputs all live squarely in this framework, which means your teams are on the front lines of AI transformation. But there's a second, equally important layer, which is evaluating how digitized your processes already are and how urgently you need to transform. Are you still manually pulling campaign data from siloed systems? Are your audience insights stuck in spreadsheets? Are your creative workflows bottlenecked? If your answer is "yes," you're likely in what HBR calls the "Next in Line" quadrant—where GenAI could deliver massive impact, but only if you prioritize the right foundations and partnerships. MIT's Andrew McAfee and others have discussed the importance of using AI to augment human performance—not replace it. The goal isn't to eliminate your creative, strategic or analytical talent. The goal is to amplify it. The real promise of GenAI lies in things like helping a junior copywriter draft 10 good ideas instead of two, letting a strategist test 50 creative variants in the time it once took to run A/B tests and giving insights teams real-time visibility into shifting audience sentiment. This isn't about automating your team out of existence. It's about enabling them to use GenAI as a co-pilot that elevates creative thinking, accelerates iteration and sharpens decisions. In working with large advertisers, I've seen how GenAI delivers value when combined with zero-party data—insights that consumers willingly share. Take the case of a national bank entering new markets. Rather than relying on assumptions about brand perception, they launched interactive video ads featuring a simple, embedded question: "Which word best describes our brand?" That single question became a rich source of insight. By applying GenAI-powered sentiment analysis to the responses, the bank quickly learned which creatives inspired trust, which messages resonated in specific regions and how to optimize the campaign in real time. This is WINS in action—words, images and numbers working together not just to capture attention, but to deepen understanding and accelerate performance. A common pitfall in adopting GenAI is the belief that everything must be built in-house to truly "own" the strategy. But in reality, GenAI success is less about technological ownership and more about making timely, strategic decisions that align with business goals. Deploying GenAI effectively often requires capabilities that span data engineering, model fine-tuning, regulatory alignment and creative integration. While some organizations may choose to develop these from scratch, others accelerate progress by leveraging existing tools, frameworks or external expertise—especially when it comes to domain-specific models or ready-to-use data pipelines. Ultimately, this is about avoiding unnecessary reinvention. Internal teams stay focused on differentiation and core value while relying on proven methods to get there faster and with less risk. The question is: where does your team add the most value, and where can others help remove friction so you can move with purpose, not just speed? To avoid AI regret and maximize impact, I suggest that CMOs and agencies answer the following three questions: 1. Where in our marketing operation do WINS apply—and how digitized are those processes? 2. How can we use AI to augment human creativity and decision-making—not just automate tasks? 3. Where might strategic collaboration help us accelerate time-to-value without compromising control or insight? AI has the power to reshape marketing—but only if it's tied to real outcomes, implemented strategically and grounded in the data and workflows that actually drive business value. The winners won't be those who jumped in first. The winners will be those who used AI wisely, with the right frameworks, the right partners and the right expectations. Don't chase the hype. Find your zero bit, deploy for impact and watch the wins follow. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
BBC News
2 days ago
- Business
- BBC News
BBC to launch new Generative AI pilots to support news production
Over the last 18 months we've been carrying out a range of pilots to see how Generative AI (GenAI) tools can support our production processes at the BBC. We've also published some updates which share Our approach to AI and What we're doing with AI. We're now looking to test two pilots publicly: 'At a glance' summaries and BBC Style Assist. 'At a glance' summaries This is about making our journalism more accessible – using GenAI to help assist our journalists to create new 'At a glance' summaries of longer news articles. Why are we piloting this? Short, scannable bullet-point summaries have proven popular with readers – particularly younger audiences – as a quick way to grasp the main points of a story. We're going to look at whether adding an AI-assisted bullet point summary box on selected articles helps us engage readers and make complex stories more accessible to users. How it works? Journalists use a single, approved prompt to generate the summary, then review and edit the output before publication - so they're always in control. Journalists will continue to review and edit every summary before it's published, ensuring editorial standards are maintained. We will also make clear to the audience where AI has been used as part of our commitment to transparency. BBC Style Assist 'Style Assist' is designed to explore how GenAI could support our news journalists to adapt and reformat stories so that they match our BBC 'house-style' for online news. Why are we piloting this? Every day, the BBC receives hundreds of stories from the Local Democracy Reporting Service (LDRS), a public service news partnership funded by the BBC, but provided by the local news sector in the UK. The LDRS provides valuable, locally-relevant journalism, but reformatting these stories into the BBC's own house-style takes time and this can limit how many we can publish. This is where Style Assist comes in. By helping journalists to reformat LDRS stories quickly and efficiently, it has the potential to reduce the production time required to publish these stories. How it works BBC Style Assist uses a BBC-trained Large Language Model (LLM) which has been developed by our Research and Development team. It's a smart AI system that has 'read' thousands of BBC articles so it can help amend text quickly to match our own house style. The process works as follows: A trusted story - such as an LDRS report - is submitted to the BBC's content system. Style Assist generates a revised draft, adhering to BBC style and tone. A senior BBC journalist then reviews the story again, checking for accuracy and clarity. Once approved, the story is published on the BBC News website and app. In line with our AI principles, nothing is published without being checked first by a BBC journalist and the AI tool has no role in creating the original story - which has been researched and written by our LDRS partners. In addition, we will also make clear to the audience where AI has been used to assist the production process as part of our commitment to transparency. In the first phase of the pilot, 'Style Assist' will be used by news teams working on stories in BBC Wales and the east of England. Journalists will be testing its capabilities, providing feedback, and helping us refine its performance. We will also be assessing whether the new tool enables us to increase the number of LDRS stories that we can publish. What's next for these pilots? We'll be gathering data on how well the tools perform, where they fall short, and the production benefits they deliver. Any wider rollout will depend entirely on the results of these tests and ongoing engagement with editorial teams. We look forward to sharing more as we learn from these pilots. Thanks for reading.
Time of India
2 days ago
- Business
- Time of India
Work Reborn: How Gen AI Is Reshaping the Indian Enterprise
India is at the forefront of a digital revolution, fuelled by a rapidly expanding tech ecosystem and a young, tech-savvy population. As the country accelerates its digital transformation through Digital India—a government initiative focused on building a society and knowledge economy—Generative AI (Gen AI) is emerging as a game-changer for businesses in every industry. Gen AI has the potential to shake up and improve the way we work, spark creativity, and make operations more efficient than ever. But while the excitement is real, there are big hurdles to overcome. In our Lenovo report, Reinventing Workplace Productivity , part of our Work Reborn Series , we surveyed 150 IT leaders in Asia-Pacific, including 50 in India—and found that while AI is seen as a game-changer, most workplaces aren't built to support its full potential. Many businesses are struggling with outdated IT systems that have not been designed to scale with AI. While 79% of IT leaders globally acknowledge AI's ability to improve work quality, fewer than half believe their digital infrastructure is ready for it. In fact, 94% of IT leaders in India told us that only a full-scale overhaul of their digital systems will unlock Gen AI's true value—which means they must completely rethink their IT frameworks from the ground up. Even with these challenges, Gen AI is already making a difference. One of its biggest benefits is improving workforce collaboration. AI-powered tools like virtual co-authoring and real-time translations are breaking down communication barriers, helping teams work together across borders and languages. It's also freeing up employees to focus on innovation by automating repetitive tasks. With smoother workflows and increased efficiency, businesses are seeing real improvements in productivity and the way they operate. Despite these benefits, many organisations in India are struggling to tap into Gen AI's full potential—particularly when it comes to personalisation, user experience, and automation. Take personalisation. While 74% of IT leaders in India see it as essential, few have the right tools to make it happen. Employees, particularly Gen Z digital natives, expect technology that fits seamlessly into how they work. And in our 2025 CIO Playbook, It's Time for AI-nomics, 65% of IT leaders in Asia-Pacific identified personalisation as key to productivity and workplace satisfaction. But turning this idea into reality isn't easy. Indian businesses are incredibly diverse, and a one-size-fits-all approach to technology simply won't work. Organisations need digital workspaces that feel intuitive and familiar, allowing employees to do their best work. Yet IT leaders are running into challenges—over half of them told us that security measures disrupt the user experience. They also said their customisation options are limited, and the sheer variety of user needs makes scaling too tricky. On top of that, ageing devices are making modernisation even harder. Despite all this, personalisation is still high on the priority list. IT teams know the rewards: increased productivity, a more engaged workforce, and technology that empowers rather than frustrates. The businesses that work this out will be ahead of the curve as AI continues to evolve. Gen AI could be the missing piece of the puzzle. With persona-based configurations and AI-driven profiling, it can customise devices, software, and workflows to fit individual users—improving employee satisfaction and performance. Automated IT support can also speed up problem-solving, keeping systems running smoothly and allowing employees to focus on work that matters. Our research shows that organisations across Asia-Pacific are on the brink of transformation. But to really take advantage of Gen AI, businesses need to go way beyond surface-level IT upgrades and rethink how workplace technology is structured. Here's what needs to happen: Transform Workflows for Value Creation: Re-engineer existing workflows and processes to fully harness the capabilities of Gen AI and drive and Personalise the Employee Experience: Tailor digital tools, workflows, and applications to individual roles and working styles, enabling employees to leverage Gen AI for maximum productivity and IT Processes with AI: Use Gen AI to manage workplace devices and IT support, freeing up resources for higher-value tasks and ensuring seamless operations. Indian businesses can't afford to wait. Gen AI isn't just an upgrade—it's a complete shift in how work gets done. The companies that take a strategic approach—redesigning their IT infrastructure, making the digital experience seamless, and automating key processes—will benefit from new levels of agility and efficiency. With early adopters raising the bar, Gen AI is quickly becoming essential. Businesses that move now won't just keep pace—they'll shape the future of work in India , setting new benchmarks for efficiency and innovation. Reinventing Workplace Productivity is the first report in the Lenovo Work Reborn Research Series 2025 , which will be published throughout the year. For more insights, or to download the report, visit: Lenovo Work Reborn . The author is Rakshit Ghura, VP and General Manager of Digital Workplace Solutions at This article is a part of ETCIO's Brand Connect Initiative.
India Today
2 days ago
- Health
- India Today
We take pride in being like our mothers, but some legacies need letting go
On one really tiring Sunday, past midnight, when I should've been in bed, I found myself in the kitchen, wrapping up after the guests had left. It was a Sunday evening, yet I couldn't bring myself to refuse visiting relatives. And despite my husband's insistence, I refused to order dinner from outside. I slogged through it, wasted my Sunday, and there I was, still in the kitchen, feeling obnoxiously drained, already dreading the start of another didn't think much of it until I came across a post by an acquaintance on Mother's Day that read: 'I am a lot like my mother, but I'm not proud of it.' It was a simple post, yet it struck a chord. She talked about how certain behaviours were ingrained in her by her mother, things she now knows she doesn't want to pass on to her own children. She wrote, 'It's not that she was bad or that we were deprived in any way. But it was her conditioning that I couldn't, or rather, trying hard to unlearn.'That post stayed with me. It made me reflect on my own conditioning, as a child, as a woman. Everything I've learned, from kitchen chores to balancing home and work, has my mother's influence woven through it. Including the automatic, almost compulsive instinct to serve home-cooked food whenever guests arrive. Is it also possible that behind that resilience was a woman who was tired, angry, lonely, but too dignified to say it out loud? (Photo: Generative AI) advertisement The writer wasn't vilifying her mother. She was simply questioning the legacy, the conditioning. And it made me wonder: how many of us are doing the exact same thing? Passing on the same quiet sacrifices with a ribbon of duty and love wrapped around them.'Many women grew up watching their mothers equate sacrifice with strength,' says Dr Chandni Tugnait, psychotherapist and founder of Gateway of Healing. 'They watched them hold families together, suppress emotions, stretch themselves thin, and somewhere, they absorbed the idea that this is what it means to be a good woman.'We often celebrate this as resilience. And to be fair, it is. But is it also possible that behind that resilience was a woman who was tired, angry, lonely, but too dignified to say it out loud?Absy Sam, a counselling psychologist based in Mumbai, opens up about this tug-of-war with honesty. 'My mother was a superwoman, a medical officer, a community teacher, a mother who did it all. But in doing it all, she lost bits of herself. I saw her take care of everyone's health but never really prioritise her own. That's one legacy I'm consciously breaking. I do not want to be a mom who has it all. I want to be a mom who is whole.'advertisementDr Tugnait calls it the myth of the 'one perfect role.' Sridevi in a still from English Vinglish. (Photo: IMDb) 'Women were expected to be caregivers, peacemakers, and perfectionists. But life doesn't need one mask; it needs authenticity. It needs women to know they're allowed to be soft and assertive. Nurturing and angry. Devoted and ambitious.'The hardest part? The most of us, stepping away from how our mothers conditioned us to be could feel like betrayal, even if it is for our survival. We struggle to separate gratitude from obligation. As Dr Chandni puts it, 'Gratitude says, 'I see you, I thank you, and now I'll walk my own way.' Obligation whispers, 'You owe her your choices.' But when we confuse the two, we end up living a life we didn't choose, out of love, yes, but also out of fear.'Anusree Sen, 58, is a Kolkata-based teacher born in the mid-60s as the fifth daughter in a traditional Indian family. She recalls how her own mother, despite being modern and educated, still couldn't support her fully when it came to big life was selected for a job in Delhi after a diploma from NIIT, a big deal back in 1990, but I was married off instead. Later, when I had a chance to work night shifts in a corporate job, I was asked to let it go for the sake of the family.' And yet, she adds, her mother's views evolved over time. 'As she saw how the world was changing, she encouraged us to let our daughters fly. Today, mine is pursuing a PhD in Sonipat, and I'm proud she has that freedom, and I also take pride in the fact that I let go of certain conditioning.'For Absy, the journey hasn't been about rejecting her mother, it's been about reclaiming what feels right. 'My mom taught me communication, consent, empathy; these are gifts I cherish and pass on to my daughter. But I'm also learning to say no, to rest, to not please everyone. I want my daughter to see that strength doesn't come from silence. It comes from boundaries.'advertisementThere's beauty in recognising both, what to hold on to, and what to let go what many might wonder is: what about the men, the sons of the household? Shouldn't they also reflect on the legacies passed down by their mothers?The answer lies in recognising that simply watching their mothers endure everything, and assuming that's how it should be — is where the problem a telling scene in the underrated film Akaash Vani (directed by Luv Ranjan), where Sunny Singh's character, Ravi, expects his wife to serve him dinner and do the 'needful' after he returns from work, even when she tells him she's in excruciating menstrual pain. His response? 'Humne apni maa ko toh kabhi kehte nahi suna ki woh down hain, isliye khaana khud lena padega.' (We never heard our mother say she was 'down,' so we had to get our own food.) A still from Akaash Vani. (Photo: YouTube) And that's exactly what men can unlearn. They should make sure, just because their mothers went through it, the story doesn't have to be repeated for their wives or perhaps maybe, just maybe, one day our daughters and sons will say, 'I'm a lot like my mother. And I'm proud, not because she did it all, but because she chose what mattered. And she chose herself too.'- EndsMust Watch
