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Hindustan Times
3 days ago
- Health
- Hindustan Times
A health care framework for patient-centric use of AI
Artificial Intelligence (AI) technologies are developing at a much faster pace than regulation or industry standards can keep up. With every new breakthrough and innovation, the potential of AI to transform the health care sector increases–whether through screening and diagnostics, public health and complex data analysis, or clinical decision-making. Generative AI (GAI) in particular has the potential to positively impact improve India's healthcare system by supporting clinical care, that is, providing clinical decision support and deepening clinical expertise at the point of care by processing vast amounts of data and knowledge. Ultimately, this leads to better informed decision making and improved health outcomes. Use of AI in sensitive fields like health care is understandably mired in misconceptions and practical challenges. At the outset, it's essential to recognise AI should be seen as a tool to augment, not replace, human expertise the role of AI as a tool that supports the skills of doctor's clinicians, it's equally important to recognise that adoption of AI technologies raises valid concerns about operational efficiency, patient data privacy and algorithmic bias, in addition to broader ethical and regulatory challenges. As AI develops through newer, relevant use-cases for health care, the need of the hour for India is to proactively build a self-reliant framework and roadmap for ethical and responsible use of AI. This can not only ease adoption of emerging AI technologies across India's private and public health care, but can also help address systemic challenges in health care systems. A clear roadmap of AI integration with guardrails can help both India's clinicians and patients benefit from the immense potential of modern AI. In a field as dynamic and ever-evolving as health care, GAI enables critical support to clinicians by creating real-time learning opportunities. It facilitates differential diagnosis especially in complex cases with co-morbidities; by driving sharp insights from large databases to help clinicians and nurses take better-informed calls. GAI platforms trained on Large Language Models (LLMs, clinicians can be understood as a tailored assistant that can answer targeted queries at the point of care and pull up relevant answers efficiently and quickly, allowing clinicians to perform their tasks better by enabling easier access to pertinent data and information. When employing differential diagnosis for patients, GAI solutions based on latest evidence can function as a concentrated pool of knowledge for clinicians to rely on. Modern health care systems are built on technological foundations, from data management, diagnostics to surgical support. AI is the natural next step to increase productivity and accuracy in healthcare by augmenting the skills of medical professionals. GAI can rapidly analyse and synthesise large volumes of medical literature to provide clinicians with the most relevant, reliable evidence to make clinical decisions at the point of care. One of AI's key offerings is personalisation–it can generate patient-specific treatment recommendations and tailor its research based on the unique needs of individual and population profiles. Health care outcomes, for the same conditions and diseases, can vary across regional and population groups. AI can help track and consolidate data for particular population and regional groups. This allows for improved prognostication: clinicians will be able to better track trends from their own practice or areas, instead of relying on data that may not be best suitable for their patient groups. This is particularly significant, as it can help India understand and analyse its population health metrics better. Such an approach can also empower patients to assume a more active role in collaborative decision-making with their clinicians by allowing them greater access to improved quality of information. While GAI promises to be a gamechanger for improving individual and public health, the use of any AI, as an emerging technology, poses questions of data privacy and biases in algorithms which may impact outputs for diverse population segments. As GAI needs voluminous datasets to train on for increased accuracy, confidential patient data must be carefully handled to avoid misuse and breaches, especially to third parties. To build trust in AI and its relevance for health care, there is an urgent need to increase public and medical trust in data handling by AI systems. First, there is a need for clean, evidence-based data. Secondly, a clearly outlined framework for patient privacy is needed. To tap AI's potential to improve health care outcomes, it must be leveraged through a comprehensive framework that governs its usage and applicability. The creation of such a framework necessitates multi-disciplinary collaboration between clinicians, data scientists, ethicists, and policymakers, as it has broad ramifications across medical, ethical, legal, and social lines. At the outset, data privacy vulnerabilities must be thoroughly accounted for, ensuring that any data used is with consent, and that patient data is accurate, properly anonymised and only shared with authorised parties. Algorithms require continuous human oversight to detect and mitigate gender or historical biases. Additionally, operational issues such as transparency and accountability must be prioritised by organisations adopting and integrating AI into their existing systems. As regulation around AI is still evolving, a constant eye on regulatory compliance is necessary to stay up to date with legal requirements. Continuous monitoring and evaluation are key to ensure use of GAI is both ethical and efficient. This article is authored by Dr Arun Khemariya, senior clinical specialist, Elsevier India.
Yahoo
07-05-2025
- Business
- Yahoo
NowThis Workers Unanimously Ratify New 3-Year WGA East Contract
Yahoo is using AI to generate takeaways from this article. This means the info may not always match what's in the article. Reporting mistakes helps us improve the experience. Yahoo is using AI to generate takeaways from this article. This means the info may not always match what's in the article. Reporting mistakes helps us improve the experience. Yahoo is using AI to generate takeaways from this article. This means the info may not always match what's in the article. Reporting mistakes helps us improve the experience. Generate Key Takeaways Staff at the short-form video news outlet NowThis have officially reached a deal with management on a new three-year contract. Per the Writers Guild of America East, the new collective agreement — which establishes higher wage minimums and key protections against generative artificial intelligence — was unanimously ratified by the 9-member bargaining unit. More from Deadline 'The Mighty 9 remaining members of the NowThis Union are thrilled to celebrate our successful contract negotiation!' the NowThis bargaining unit said in a statement Wednesday. 'We're very thankful to those who supported us by writing letters to the CEOs of NowThis and Accelerate Change and encouraging them to help us reach a deal. We look forward to working with management and continuing to grow NowThis into the success we know it is.' Highlights from the contract include an increased wage minimum of $80,000. The overall contract minimum has been bumped to $65,000 with an additional $1,000 increase to all minimums in Year 2 and Year 3. All current members will also receive raises retroactive to April 1, with respect to seniority and current salary. As for generative AI, which has been a huge priority for the WGAE in its contracts with various news outlets as of late, the protections are as follows: Unless the Company obtains the consent of the individual, the Company shall not use or sell a digital replica (voice or likeness or style) of any individual within the bargaining unit At least 15 days' notice to the Union of the Company's intent to use any new GAI tool or similar technology that it expects to have a direct and material impact on specific terms and conditions of employment applicable to members of the unit Employees may decline to be credited, on any content where GAI has been used in a substantial capacity to alter or create the original content 'Our members at NowThis have been critical to the company's success and growth,' Sara David, WGAE Vice President of Online Media, added in a statement of her own. 'We're proud to see these dedicated members win a contract that reflects their value.' This marks the second contract for workers at NowThis since organizing with the WGAE. The bargaining unit ratified its first ever union contract in 2022. The WGAE represents a wide range of publications in the online news sector including the Bustle Digital Group, Civic News Group, CNET, Committee to Protect Journalists, Fast Company, Future PLC, Gizmodo Media Group, Hearst Magazines, HuffPost, Inc., Jewish Currents, NowThis, Onion Inc., Refinery29, Salon, Slate, Talking Points Media, The Dodo, The Intercept, Thrillist, VICE and Vox Media. Best of Deadline Sign up for Deadline's Newsletter. For the latest news, follow us on Facebook, Twitter, and Instagram.
Yahoo
29-04-2025
- Business
- Yahoo
LinkedIn Shares Insights Into AI Adoption and Integration
This story was originally published on Social Media Today. To receive daily news and insights, subscribe to our free daily Social Media Today newsletter. If you hadn't noticed, LinkedIn is super keen on gen AI, which is why it's been injecting AI tools into every element that it can across the app. At the same time, it's also looking to help its members capitalize on the opportunities of the generative AI wave, which looks set to have a major impact on a broad range of industries over the coming years. That's the focus of LinkedIn's latest economic impact report, which explores the rising use of AI, including which industries and economies are more readily adopting AI tools, and how businesses should be looking to build AI systems and training into their approach. You can download the full report here, but in this post, we'll take a look at some of the key notes. First off, LinkedIn outlines its rising focus on AI, and why it sees this as a critical element for its membership: 'At LinkedIn, our ambition is to help workers, businesses, and governments shape AI into a powerful lever for human prosperity. As many countries face growth and competitiveness challenges, GAI can be the catalyst to drive innovation, and accelerate growth.' Indeed, LinkedIn says that 75% of companies that have incorporated generative AI tools into their systems have seen significant time savings, as well as revenue increases above 10% on average. But adoption of AI tools is still largely centered around big business, which could put smaller organizations at a disadvantage. 'Despite its many benefits, GAI adoption remains low in many countries, and small and medium businesses (SMBs) – the backbone of the global economy – are being outpaced by large companies. SMBs represent more than 90% of businesses and 50% of workers worldwide. Countries that close the SMB adoption gap stand to gain significant economic benefits.' The report looks at how different brands and regions can boost their adoption of AI tools to maximize the potential benefit. And according to LinkedIn, it's the U.S. that stands to benefit the most: As you can see in this chart, LinkedIn says that American-based companies, based on its Economic Graph data, look set to reap the most benefits from gen AI, which is based on how it's currently likely to be applied across different elements. Yet it's not full automation that these tools are providing. LinkedIn says that the true strengths of generative AI lie in expanded opportunity, as opposed to replacing workers. 'The greatest opportunity with GAI isn't increased productivity for the tasks we already do; it is how people use that extra time to foster innovation and unlock new opportunities. More businesses today are using GAI for innovation and creativity (70%) than to automate repetitive tasks (60%) or simplify processes (54%). Business leaders know that the best ideas happen when technology meets human creativity and GAI is fueling an immense demand for talent: two-thirds of businesses using GAI plan to increase headcount. As such, with the right focus and investment, GAI represents a potential net job expansion, not loss.' This is an important note, because the broader fear among workers is that these new AI tools are going to replace them completely, in order to realize productivity gains. And that may be true for the next level of AI, being digital intelligence that can actually think and act independently. But the current wave of AI tools are not that, and as such, LinkedIn says that their main benefits lie in complementing your workforce, as opposed to replacing them. The report also looks at generative AI adoption by region and business type: As you can see in this graph, overall, India (62%) and the US (51%) are seeing the highest AI adoption rates, followed by Germany (41%), the UK (40%), and France (32%). 'India is seeing such high adoption rates due to the country's rapid digital transformation, a growing tech-savvy workforce, and a strong emphasis on innovation, while the US follows closely behind due to the country's tech infrastructure and its propensity for early adoption of new technologies to maintain its competitive edge. Regulatory constraints and talent shortages in Europe may explain the slower adoption rates in France, Germany, and the UK.' Indeed, demand for AI expertise in India is currently outpacing demand, and given its massive population and cumulative learning capacity, the nation stands to become a major player in the broader AI race. But that's on a broader scale, and again, as you can see in the above chart, SMB adoption is way lower than bigger organizations. Which is one element that LinkedIn wants to change. In terms of what you can do, and how your business should be looking to adapt, LinkedIn provides the following recommendations: The first point is more of a broader policy note, but the others relate to how you can integrate AI tools into your workflow, in order to realize the potential benefits. I mean, as AI tools become more commonplace in education and classroom learning, this is going to happen either way, but it is worth considering the opportunities available, and prompting staff to try using AI tools in their day-to-day process. I would, however, caution against putting full trust in AI outputs. As LinkedIn repeatedly notes throughout this report, the best results come from a combined approach, matching professional expertise with AI systems. And with that in mind, there could indeed be significant gains to be made, in many ways. You can check out LinkedIn's full AI impact report here. Recommended Reading LinkedIn Shares New Insights Into the Impacts of Generative AI on the Workforce Sign in to access your portfolio
Business Wire
23-04-2025
- Business
- Business Wire
PACT Capital's Tyler Shegerian Shares Insights on California Agriculture Investment Opportunities for Real Estate Private Credit at GAI New York
LOS ANGELES--(BUSINESS WIRE)--Tyler Shegerian, Co-Founder and COO of PACT Capital, an investment management firm focused on providing agriculture and commercial real estate credit, shared the latest insights and strategic outlook on California's agriculture economic environment and private real estate credit investment opportunities during the 17 th annual Global AgInvesting New York (GAI New York) conference at the New York Hilton Midtown. In his informative presentation, 'California Agriculture: Strong Fundamentals, and the Opportunity for a Private Credit Strategy,' Shegerian shared the latest intel and data demonstrating how California is uniquely positioned for long-term investment upside, the state's unique structural advantages, and the bright policy outlook of California's agriculture economy. He also described key investment considerations and engaged in a spirited Q&A discussion with the capacity audience. 'The California agriculture economy is experiencing a once in a generation investing opportunity,' said Shegerian, 'providing investors the chance to buy or invest in the highest quality agriculture assets at an irreplaceable basis. I was honored to have been invited to speak at GAI in New York, sharing the promising long-term opportunities rapidly emerging today in the California Ag industry.' 'GAI is vitally important for investors because it gives a broad spectrum of thought leaders from the sector the opportunity to share what they know,' added Shegerian. 'We look forward to future events and the opportunities to share the latest insights on the massive potential of what is an increasingly vibrant California agriculture market.' Each year, GAI New York provides three days of industry content, including educational sessions, thought leadership panels, and expert keynotes. Over 700 key stakeholders in agriculture and natural capital investing attend each year, representing limited partnerships (LPs), family offices, pension funds, and more. Global AgInvesting is known for curating speaking faculties composed of industry experts, respected private and institutional investors, leading agribusiness executives, and cutting-edge agtech innovators and entrepreneurs. About PACT Capital PACT Capital is an investment management firm focused on providing agricultural and commercial real estate credit through its proprietary direct origination and credit fulfillment platform with offices in Los Angeles and Fresno, CA. The firm brings decades of experience in farming and agribusiness coupled with extensive commercial real estate credit management expertise to deliver consistent, risk-adjusted returns to investors while navigating the complexities of a relationship management platform to attract and retain high-quality borrowers. Learn more at
Zawya
07-04-2025
- Business
- Zawya
China's BRI remains strategic and agile amid global uncertainty
China's Belt and Road Initiative (BRI) marked a record-breaking year in 2024, with over $70.7 billion in construction contracts and $51 billion in investments, according to China Belt and Road Initiative Investment Report 2024 co-published by the Griffith Asia Institute (GAI), part of Australia-based Griffith University and the Green Finance & Development Centre (GFDC) of Fanhai International School of Finance (FISF), China. The report highlights the Middle East as the top regional recipient of Chinese BRI engagement, securing $39 billion across key sectors such as fossil fuels, infrastructure, and renewable energy. Dr. Christoph Nedopil, founding director of the Green Finance & Development Centre and Professor and Director of GAI, shared his insights with Zawya Projects on the driving forces behind this surge, evolving investment patterns, and the growing shift towards greener, technology-driven projects under the BRI. 'In 2024, we identified BRI projects totaling over $120 billion—a record high since the initiative's launch in 2013. This surge might seem surprising given the slower growth of the global economy, including China's, compared to the early years of the BRI,' he said. Nedopil said that given China's economy is now nearly twice the size it was in 2013, with numerous world-leading companies emerging — especially in technology and infrastructure — the continued global expansion of Chinese businesses, including those within the Belt and Road Initiative framework, is a "natural progression." He emphasised that despite global market uncertainties, Chinese businesses are expected to remain agile and strategic. 'We are likely to see strategic investments in BRI countries, including efforts to navigate export restrictions, support 'new-age friend-shoring,' or seize opportunities left open by other partners — particularly in natural resources,' he added. Excerpts from the interview: The Middle East led Chinese BRI engagement with $39 billion in investments and construction deals. What is driving this focus, and which sectors benefit most? China's strong engagement in the Middle East has been driven largely by the fossil fuel sector, particularly gas. Major construction deals include oil processing projects in Iraq, gas-related infrastructure such as pipelines and a gas-fired power plant in Saudi Arabia. Other massive deals include the Saudi subway construction. Chinese companies have also invested in renewable energy in the region, as well as in steel and energy technology, particularly in Saudi Arabia. The report highlights China's greenest energy investments yet, with renewable projects hitting $11.8 billion. What's driving this shift, and how does it compare to past BRI trends? BRI energy investments have become increasingly green, particularly following China's decision to halt overseas coal financing in 2021. In 2024, this trend reached a new high, especially in energy generation projects. Additionally, investments extended to the establishment of solar PV and battery manufacturing plants. This shift is driven by two key factors. On the supply side, Chinese companies have become global leaders in green energy technologies, enabling their expansion abroad. On the demand side, green energy remains highly attractive due to its economic benefits—lower electricity costs for industry and households, alignment with low-carbon development goals, and job creation. While BRI construction deal sizes are growing, investment deal sizes are shrinking. What does this indicate about China's evolving investment strategy under the BRI? The trend of rising construction deal sizes alongside shrinking investment deal sizes should be interpreted with caution. A few exceptionally large construction deals in 2024, particularly in the Middle East, have skewed the overall figures. That said, this trend does indicate that Chinese companies remain highly competitive and capable of delivering multi-billion-dollar mega-projects. On the investment side, the data suggests a broader participation of Chinese companies in BRI countries, even if on a smaller scale per project. China's BRI strategy appears to be shifting from large infrastructure projects to 'soft' sectors like technology, digital connectivity, and financial services. What's driving this change, and how does it support China's long-term economic goals? The BRI has gradually shifted from a focus on public infrastructure, such as transport projects, toward revenue-backed projects. Large-scale fossil fuel projects, such as in the Middle East, offer clear revenue streams, providing Chinese developers with greater confidence in cost recovery. This contrasts with public infrastructure such as road projects, which often rely on government fiscal strength, creating more uncertainty in emerging economies. Additionally, China's rapid advancements in technology have fuelled greater engagement by Chinese tech companies in BRI markets. This aligns with China's long-term economic goals of enhancing global competitiveness in high-tech industries and digital infrastructure. Given escalating U.S.-China trade tensions, including increased tariffs and investment restrictions, how do you see these developments shaping China's BRI strategies—both in seeking alternative markets and adjusting investment focuses? Geopolitical uncertainty affects all players, but the fundamental goal of businesses remains unchanged: to generate commercial opportunities. Companies will seek sectors and markets where they feel confident in managing risks. If Middle Eastern countries continue to provide a stable environment for Chinese partners, there is little to prevent Chinese businesses from deepening their engagement in the region. The ability to navigate trade restrictions and build alternative supply chains will likely reinforce this trend. Earlier reports predicted BRI investments in 2023 would pivot toward green energy, digital infrastructure, and increased regional engagement. Looking back, which of these trends materialised as expected — and were there any surprises in how BRI investments unfolded? Looking back at my 2023 predictions, I recognise that forecasts are always subject to change. However, the data confirm increased engagement in green energy and technology, as expected. Additionally, there has been a shift toward investment in countries with stronger economic fundamentals and lower sovereign debt. For example, China's engagement in Pakistan reached its lowest level yet. What did surprise me was the strong resurgence of fossil fuel projects, particularly in the Middle East, as well as the rapid pace of investment in new energy vehicles and battery technologies. Looking ahead, what key trends or challenges do you foresee shaping BRI investments in 2025, particularly in the Middle East? Are there specific areas where we should expect increased Chinese engagement? In the Middle East, Chinese business opportunities will likely remain strong, driven by robust regional growth prospects, clear political strategies to diversify economies, and an ongoing construction boom. This will continue to fuel infrastructure-related investments, for example in energy generation and transportation. Additionally, I see great potential for joint project development between Middle Eastern and Chinese financial and commercial partners in third markets, such as Africa and Asia. (Reporting by SA Kader; Editing by Anoop Menon)
