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India Gazette
2 hours ago
- Automotive
- India Gazette
R&D has to be stepped up by industry and academia, say experts at the 'AI for India' summit in Bengaluru
Bengaluru (Karnataka) [India], June 28 (ANI): Research & Development (R&D) has to be stepped up by the industry and academia, which is a constant pain point, highlighted experts in the field of Artificial Intelligence (AI) during a fireside chat at the ongoing 'AI for India' event in Bengaluru. 'This is an opportunity. R&D must step up, and this effort needs to be implemented across the industry and in academia. I must empathise with the industry; there are pain points they face in adapting to changes, not just AI, but to pretty much anything disruptive. So we need industries to step up, but we also need academia to step up, and this is an opportunity,' said Ganesh Ramakrishnan, Professor at IIT Bombay. Speaking about the change in classroom learning at IIM Bangalore, Rishikesha Krishan, Director, said that they have already witnessed the industry asking students questions about how they will utilise AI in areas such as digital marketing, etc. He said, 'This year itself, in our placement interviews, we found companies asking prospective candidates. Questions like if you have to make a digital marketing plan for the company, how will you use AI tools to do it more effectively, what tool will you use, how will you go about it?, etc. - so that's what's happening on the employer side. So what we are trying to figure out right now.' Krishnan further added that the focus of academia is 'co-creation'. 'We want the human being and the AI to work together. We don't just want some output of that GenAI engine,' he added. During the event, in a separate discussion about areas where traction has been witnessed, Gourav Gupta of India 2W TVS Motors stated that the company's AI is being utilised in manufacturing efficiencies, equipment efficiencies, predictive maintenance, safety, and other areas. 'In terms of consumer-facing activities already at our end, we are working in the area of, uh, conversational AI. We're working already in the area of, uh. You're familiar with voice AI as well, so whenever our call centres are interacting with our consumers, the entire sentiment analysis and other aspects are being actively worked on. The third area is now leveraging marketing and tools. In fact, I'm more than happy to share with you a look at what our team has now leveraged and put across an entire AI-generated advertising campaign as well. Uh, you know, so in terms of making sure that, uh, and using GI content that is very specific to consumers, that's an area that can always evolve even to higher levels, and the third area is actually for employee engagement,' Gupta added. Sateesh Seetharamiah, of CEO EdgVerve, said, 'We are seeing close to a 40 to 50 per cent improvement in productivity.' 'AI for India' summit aims to create a platform for actionable collaboration among industry leaders, deep tech startups, academia, civic bodies, and policymakers, according to the official release by AI4India. AI4India is a public-interest initiative working to build India's AI ecosystem through open innovation, ethical research, and collaborative capacity building. Its DataDaan campaign and national engagements aim to make AI work for every Indian. The ongoing summit is witnessing a diversity of Industry Speakers from TVS Motors, HDFC Bank, Sahamati Foundation, Tejas Networks, EdgeVerve, Yotta, among others. While leading AI startups, Sarvam and BharatGen, will showcase their latest models, innovations from Latlong AI, Parlaxiom, Pienomial, and others will also be on display. (ANI)
International Business Times
4 hours ago
- Business
- International Business Times
Tengr.ai: A privacy-by-design generative AI platform
Generative AI (GenAI) is rapidly reshaping industries from media to medicine, although with concerns around privacy, transparency, data integrity and ethics on the rise. A recent report from Deloitte indicated heightened skepticism with over 78% of users finding it challenging to control the data collected about them. AI image generators like Midjourney, DALL-E or Stable Diffusion raise serious privacy concerns, from using personal photos without consent in training data to unintentionally recreating real faces. They've also been used to create fake identities in online scams. As the technology evolves, experts warn that safeguards, especially for vulnerable groups like children; are lagging behind. Hungary based company aims to tackle that, with its privacy-by-design creativeGenAI platform, which is used by over 500,000 users worldwide. What is is the ethical image generation infrastructure that lets users create without censorship issues or data harvesting designed for creators, businesses, educators and more with a strong emphasis on user privacy and creative freedom. The company employs its proprietary Hyperalign™ technology to balance uncensored creative expression with safety. This allows the generation of diverse content while preventing misuse, such as deepfakes or harmful imagery. "Users retain full ownership of the images they create, enabling them to use their creations for commercial purposes without restrictions," says Péter W. Szabó, CEO and co-founder of How Works Unlike competitors that harvest personal data or impose restrictive licenses, is designed with privacy at its core. It does not collect or store any personal information, and users maintain full commercial rights to all images they create. Its Hyperalign™ technology quietly converts risky prompts into safe, compliant results, avoiding the constant battle of traditional filters while maintaining seamless creative freedom. also recently announced its Quantum 3.0; an upgraded image generation engine which sets a benchmark for prompt fidelity, rendering speed, photorealism, all while retaining the existing infrastructure. "Quantum 3.0 Engine uses advanced diffusion-transformer technology to accurately interpret complex prompts, reducing image revisions by 38% and enhancing fine details like hair and typography," says Peter. The Detailer Upscaler 3.0 claims to boost images up to 8x resolution with lifelike textures, offering "Details Only" and combined upscale modes for crisp prints. Its One-ClickBackground Swap, powered by ScenaNova, claims to isolate subjects and create custom backdrops. Why privacy and personal data is important "AI image generators are raising serious privacy concerns," says Peter. From models unintentionally recreating real people's faces to fake profiles used in scams, these tools can misuse personal data in harmful ways. Lawsuits like Getty Images vs. Stability AI highlights the unauthorised use of private photos in training data. Protecting personal data isn't just about compliance, it's about respecting individual rights and preventing real-world harm and to be ethical in an increasingly digital world. introduction into Web3 Brands like Jack Wolfskin and Tesa SE are already using for product visualisation, while the company's architectural partner Zindak AI uses the platform to turn sketches and CAD renders to photorealistic imagery. is also introducing its native $TENGR utility token into its platform to enhance user engagement and expand its ecosystem. Earlier this year, completed an equity funding round aimed at developing and launching its $TENGR utility token, integrating blockchain tech into its platform. Through Web3 initiatives and a utility token, the platform aims to empower and monetise its community in a more collaborative way, ensuring that no personal data is collected or stored, and users retain full commercial rights to every image they generate with ethical solution.
TECHx
6 hours ago
- Health
- TECHx
Why Generative AI Isn't a Silver Bullet for Healthcare
Home » Smart Sectors » Healthcare » Why Generative AI Isn't a Silver Bullet for Healthcare Generative AI is revolutionizing healthcare, but challenges remain. Ashley Woodbridge, Lenovo CTO META, explores why it's no silver bullet. The healthcare sector is on the brink of a significant surge in AI investment, projected to rise by an astounding 169% over the next year – the highest increase among all industries surveyed in EMEA. The uptick follows the promising early results of AI projects, where a remarkable 74% of healthcare AI pilot projects have met or exceeded expectations, with 13% surpassing them. Yet, despite this positive momentum, only 2% of healthcare organisations have actively deployed AI at scale with the majority of initiatives remaining in the pilot or planning stages. This raises the question: how can the industry and its partners move beyond this plateau? What is Generative AI Doing? For most people, their experience of Generative AI (GenAI), has been through conversations with chatbots, creating new content or summarising data. These lighter use cases have highlighted numerous challenges that must be addressed before widespread adoption can occur, especially in highly regulated industries like healthcare. One of the primary obstacles identified in the region wide survey is data quality. AI models, including GenAI, are only as effective as the data they are trained on. In healthcare, data often exists in silos, across incompatible systems, and in formats that are difficult to interpret. There are also important patient data privacy considerations to take into account. Despite the complexity involved in sorting and standardising this data, the potential benefits of tackling these issues and making it useable by AI are immense. For example, tools like Epic's 'Slicerdicer' allow healthcare professionals to query large datasets through conversational interfaces, uncovering important trends in patient outcomes and informing better care. The depth of queries is particularly powerful, allowing healthcare providers to uncover trends amongst patients that share a condition or illness that may have otherwise remained hidden. Taking the technology in a different direction, AI-powered 'ambient digital scribes' are being trialled by NHS doctors in the UK. These systems listen to patient appointments and automatically generate clinical notes, saving hours of administrative work and helping to reduce burnout among medical staff. However, healthcare providers must tread carefully. Public sentiment towards AI in healthcare remains cautious. Only 28% of people aged over 60 feel comfortable with AI technologies being used in their care, and 75% of consumers overall want to be informed if AI is being used in their healthcare communications. Transparency is critical. For AI to enhance patient experience without undermining it, trust must be maintained. In countries like the UAE and Saudi Arabia, AI algorithms are enhancing radiology by assisting in the analysis of medical images, enabling quicker and more accurate detection of conditions such as lung cancer. Predictive analytics are being utilized for real-time patient monitoring, allowing healthcare providers to intervene early in critical situations. Generative AI is also making strides in drug discovery, particularly in Qatar, where researchers are modelling molecular interactions to accelerate the development of new therapies. Additionally, AI-powered chatbots and virtual health assistants are streamlining telemedicine services, providing preliminary diagnoses and scheduling appointments, thus improving access to care. AI's Role in Medical Research Beyond frontline care, GenAI is turbocharging work in the field of medical research. Earlier this year, a researcher at Imperial College London used an AI tool developed by Google to investigate why certain bacteria are resistant to antibiotics. In just 48 hours, the tool proposed four viable hypotheses, whereas it had taken scientists over a decade to finalise just a single hypothesis manually. The result was so astonishing that the original researcher initially suspected the AI had accessed unpublished work on his personal computer, which was proven not to have been the case. These breakthroughs are being made possible thanks to the high-performance computing systems behind increasingly powerful AI models. At Lenovo, we are proud to partner with the Broad Institute on genome analysis, helping researchers accelerate one of the most data-intensive tasks in science. The Lenovo Genomics Optimization and Scalability Tool (GOAST) reduces the time needed to analyse a whole human genome from over 100 hours to just 47 minutes. Other organizations are also harnessing advanced AI and computing tools to push the boundaries of healthcare. Hungarian company 3DHISTECH, for example, uses Lenovo's AMD Threadripper-powered ThinkStation P620 workstations to build detailed 3D virtual models of human and non-human tissue. These models can zoom in to the level of individual chromosomes, enabling new frontiers in digital pathology. Their systems are used by institutions around the world, including Harvard Medical School, Novartis, and the Wuhan Institute of Virology. Notably, a 3DHISTECH system played a pivotal role in diagnosing the first COVID-19 patient in China, demonstrating how AI-enabled technology can impact global health crises. The Human Element Remains Crucial While AI offers compelling advantages, it's important to remember that technology alone isn't the answer. The human touch in healthcare remains indispensable. Healthcare providers must ensure transparency in their AI implementations and address data quality issues to fully reap the benefits of AI. By doing so, they can enhance patient care, reduce burnout among medical staff, and drive groundbreaking research, all without sacrificing the trust and comfort of those they serve. In conclusion, the healthcare industry stands at the brink of an AI-driven revolution. With thoughtful implementation and a focus on maintaining trust, AI has the potential to transform healthcare for the better. The journey won't be without its challenges, but the rewards promise to be well worth the effort. By Ashley Woodbridge, CTO, Lenovo, META
Time of India
6 hours ago
- Automotive
- Time of India
AI for India summit: Experts call for stronger R&D from academia and industry; AI adoption growing across sectors
Photo credit- ANI The need to scale up research and development (R&D) across Indian academia and industry was a recurring theme at the 'AI for India' summit in Bengaluru, where leading voices in artificial intelligence stressed the urgency of cross-sectoral collaboration to make AI work at scale in India. 'This is an opportunity. R&D must step up, and this effort needs to be implemented across the industry and in academia,' said Ganesh Ramakrishnan, Professor at IIT Bombay, during a fireside chat, according to ANI. He emphasised that while industries do face challenges in adapting to disruptive changes like AI, the responsibility to scale innovation lies with both industry and academic institutions. Rishikesha Krishnan, Director of IIM Bangalore, highlighted a shift already visible in placement processes. 'This year itself, in our placement interviews, we found companies asking prospective candidates: if you have to make a digital marketing plan for the company, how will you use AI tools to do it more effectively?' he said. He added that the institute is focusing on 'co-creation,' where 'the human being and the AI work together,' rather than simply relying on generative AI tools. In a separate panel, Gourav Gupta of TVS Motors shared that the company is deploying AI across a range of functions. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Veja as oitenta mulheres mais lindas do Brasil Gloriousa Undo 'Our AI is being utilised in manufacturing efficiencies, equipment efficiencies, predictive maintenance, safety, and other areas,' he said. Gupta noted that TVS is also actively working with conversational and voice AI tools for customer service, sentiment analysis, and marketing campaigns, including a fully AI-generated ad campaign, ANI reported. 'We're using GenAI content that is very specific to consumers,' he said, underlining the potential for hyper-personalisation. On internal operations, Gupta said TVS Motors is also applying AI to employee engagement, reflecting the company's broader digital transformation strategy. Sateesh Seetharamiah, CEO of EdgeVerve, said his company has seen productivity improvements of 'close to 40 to 50 per cent' using AI. The 'AI for India' summit, organised by AI4India, seeks to establish actionable collaboration between deep tech startups, large enterprises, academia, civic bodies, and government stakeholders. ANI reported that the initiative promotes ethical research, open innovation, and capacity-building, with campaigns like DataDaan designed to ensure AI reaches every Indian. According to ANI, the summit is also showcasing cutting-edge models and technologies from leading startups such as Sarvam, BharatGen, Latlong AI, Parlaxiom, and Pienomial. Industry speakers from HDFC Bank, Tejas Networks, Sahamati Foundation, and Yotta are also participating. The ongoing discussions reflect a broader push to position India as a global hub for ethical and inclusive AI development, with institutions and industry converging to develop solutions that are both technologically advanced and socially responsible. Stay informed with the latest business news, updates on bank holidays and public holidays . AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Yahoo
21 hours ago
- Business
- Yahoo
Analyst Recommends This Top Dividend Growth Stock for ‘Ability to Sleep at Night'
David Bahnsen, The Bahnsen Group CIO, recently talked on CNBC about the importance of dividend growth stocks and said the 'ability' to sleep at night that these stocks give to investors comes from their strong track record. He believes dividend growth 'immunizes' investors from volatility. 'I think you get some of that ability to sleep at night if you're not so reliant on expensive things getting more expensive. That's really the key, is you already have the things you're talking about — top-down macro uncertainty, tariff policy, geopolitics, things like that. But when you combine that with high PEs that you just need to get higher in order to see your investments do well, I think that becomes problematic. Dividend growth immunizes investors from some of that.' Bahnsen then talked about why he loves International Business Machines (NYSE:IBM) as a dividend growth play: Well I love talking about IBM Common Stock (NYSE:IBM) and that's one of the names that's done really well this year. There's other names that haven't done as well, which I like even more because they're cheaper. IBM's up 20%, but here's the thing. It's trading at 17 or 18 times what 2025 free cash flow will be. You're talking about that up against other names trading at 40, 50, 60 times what their free cash flow may be. IBM Common Stock (NYSE:IBM) has grown the dividend, Kelly, every single year since 1994. Think about how much has gone on in the world over that 30 plus years. IBM's grown the dividend every year in that period. Impressive. So we just think it's a great name that's tethered to both old tech and new tech. Image by Steve Buissinne from Pixabay IBM is indeed making a comeback. As of the end of Q4, IBM's AI products and services surpassed $5 billion in total bookings, with $2 billion added just since last quarter. Last year, IBM updated its Granite family of AI models for enterprise use, making them about 90% more cost-efficient than large models. RedHat is also key in IBM's open-source GenAI strategy. Management highlighted that RHEL AI and OpenShift AI platforms are gaining traction, along with IBM's watsonx AI solutions. The company expects its software business to grow by at least 10% in 2025, up from 8.3% growth in 2024. While we acknowledge the potential of IBM as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey.
