Connect with us

News

Instagram New Payment Feature And Data Download Tool

Published

on

Post the data download tool announcement, Instagram launches Payment feature.

The users of the world famous photo sharing app, Instagram can now make payments with just a tap of their fingers. The latest feature lets you store your credit or debit card with their respective profiles. This could all be generated using a security pin provided by the app. Your details are highly secured and you can move ahead with the purchase without having to think twice.  What makes it interesting is that you don’t have to leave the app and go to the other site to buy the product . However, for now, this applies to the selected partners associated with Instagram. A spokesperson confirmed that native payments for booking appointments like at restaurants or salons is now live for a limited set of partners.

The feature is currently available only for a selected group of partners, including online restaurant reservation site Resy.

The payment feature appears under Settings in the app, with an option to add debit or credit card information, track previous payments and set a pin for extra security.

The social network is home to some of the latest trends in areas like fashion, design, and many more. Instagram is not the only one ramping up efforts to put up the massive user base. In February, social media rival Snapchat started testing its own native payments.

Meanwhile, the payment feature is available to certain users in the United States. It might take a couple of weeks to enable to the rest of the users.

The data download tool lets you access using the app’s privacy settings. It lets users export their photos, videos, archived Stories, profile, info, comments, and  messages, though it can take a bit longer to download. The feature is now available to all the web users. As for the users of iOS and Android, it is under process and might roll out soon.

Continue Reading
Advertisement
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Artificial Intelligence

How AI and Machine Learning Are Shaping the Future of Healthcare

Published

on

How AI and Machine Learning Are Shaping the Future of Healthcare

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the healthcare landscape, offering innovative solutions that enhance patient care, streamline operations, and improve health outcomes. As these technologies evolve, they are becoming integral to the future of healthcare, transforming how providers diagnose,
treat, and manage patient care.

Current Applications of AI and Machine Learning in Healthcare

1. Precision Medicine

AI and ML are pivotal in advancing precision medicine, which tailors treatment plans based on individual patient characteristics. By analyzing vast datasets, including genetic information, medical histories, and treatment responses, AI algorithms can predict which treatments are likely to be most effective for specific patients. This personalized
approach not only improves outcomes but also minimizes unnecessary side effects and costs associated with ineffective treatments.

2. Diagnostic Accuracy

AI technologies, especially deep learning algorithms, are increasingly used in diagnostic imaging to identify conditions such as cancer more accurately than traditional methods. For instance, AI systems can analyze radiology images to detect early signs of tumors that may be missed by human eyes. Studies have shown that these systems can
outperform radiologists in certain diagnostic tasks, leading to earlier interventions and better patient prognoses.

3. Operational Efficiency

AI is streamlining healthcare operations by automating administrative tasks such as scheduling, billing, and patient record management. This automation reduces the administrative burden on healthcare professionals, allowing them to focus more on patient care. Additionally, predictive analytics powered by AI can optimize resource allocation, helping hospitals manage patient flow and reduce wait times.

Future Transformations Driven by AI and Machine Learning

1. Enhanced Patient Monitoring and Telehealth

The integration of AI in telehealth is set to revolutionize patient monitoring. Wearable devices equipped with AI algorithms can continuously track vital signs and health metrics, alerting healthcare providers to potential issues before they escalate. This proactive approach not only enhances patient safety but also fosters a more connected
healthcare ecosystem where patients receive timely interventions based on real-time data.

2. Addressing Workforce Shortages

AI has the potential to alleviate workforce shortages in healthcare by assisting medical professionals in decision-making and reducing burnout. By automating routine tasks and providing decision support, AI can enhance the productivity of healthcare workers, allowing them to manage larger patient loads without compromising care quality. This is particularly crucial as the global healthcare workforce faces increasing demands due to aging populations and rising chronic disease prevalence.

3. Data-Driven Insights for Public Health

AI and ML can analyze public health data to identify trends and predict outbreaks, enabling healthcare systems to respond more effectively to public health challenges. By leveraging AI to analyze social determinants of health and other data sources, public health officials can implement targeted interventions that address the root causes of
health disparities in communities.

Challenges and Considerations

Despite the promising potential of AI and ML in healthcare, several challenges must be addressed to fully realize their benefits:
● Data Quality and Accessibility: The effectiveness of AI systems relies heavily on high-quality, standardized data. Currently, many healthcare organizations struggle with data silos and inconsistent data quality, which can hinder the development and deployment of AI solutions.
● Ethical and Legal Concerns: The use of AI in healthcare raises ethical questions regarding data privacy, consent, and algorithmic bias. Ensuring that AI systems are transparent and accountable is crucial to maintaining trust among patients and healthcare providers.
● Integration into Clinical Practice: For AI to be effectively integrated into clinical workflows, healthcare professionals must be adequately trained to use these technologies. Collaboration between AI developers and healthcare providers is essential to create user-friendly systems that meet the needs of clinicians and patients alike.

Conclusion

AI and Machine Learning are poised to transform the future of healthcare by enhancing diagnostic accuracy, personalizing treatment, and improving operational efficiency. As these technologies continue to evolve, their successful integration into healthcare systems will depend on addressing current challenges related to data quality, ethical considerations, and workforce training. By harnessing the power of AI, the healthcare industry can move towards a more efficient, effective, and patient-centered future.

Continue Reading

Latest News

OpenAI Set to Launch ‘Strawberry’ AI Project This Fall, Potential Integration with ChatGPT Expected

Published

on

OpenAI Set to Launch 'Strawberry' AI Project This Fall, Potential Integration with ChatGPT Expected

OpenAI is gearing up to unveil its latest AI product, “Strawberry,” previously known as Q* (pronounced “Q Star”), this fall. This innovative tool is designed to tackle complex problem-solving tasks, including solving math problems without prior training, developing market strategies, and conducting in-depth research. The announcement comes at a time when OpenAI is also seeking to attract more investment.

Development Insights

The hints about Strawberry’s development first emerged in July 2024, when OpenAI CEO Sam Altman shared cryptic images of strawberries on social media, igniting speculation about a significant new project. Reports indicate that Strawberry aims to address the limitations of existing AI models, particularly in areas requiring advanced reasoning and context-sensitive problem-solving, where current systems often struggle.

Key Features

Strawberry is expected to enhance AI’s logical reasoning capabilities and mitigate issues of “hallucination,” where AI generates incorrect or nonsensical information. This product is not just about generating answers; it is designed to autonomously navigate the internet to perform what OpenAI refers to as “deep research.”
Additionally, Strawberry is likely to be integrated with OpenAI’s latest chatbot, ChatGPT-4o, and will play a crucial role in the development of a new large language model (LLM) named Orion. This integration is anticipated to improve the overall performance and reliability of OpenAI’s AI offerings.

Competitive Landscape

The launch of Strawberry comes amid a competitive race in the AI sector, with major players like Apple, Google, and Anthropic also working on advanced AI models. As these companies prepare to release their own innovations, the pressure is on for OpenAI to deliver a product that stands out in terms of capabilities and reliability. In summary, the introduction of Strawberry represents a significant advancement in AI technology, with the potential to revolutionize how AI handles complex reasoning and problem-solving tasks across various industries. As OpenAI prepares for this launch, the tech community is keenly watching to see how Strawberry will reshape the landscape of artificial intelligence.

Continue Reading

Entrepreneur Stories

CCI Approves Merger Between Reliance and Disney

Published

on

CCI Approves Merger Between Reliance and Disney

Competition Commission of India (CCI) has granted approval for the merger between Reliance Industries Limited (RIL) and The Walt Disney Company’s Indian media assets, valued at approximately ₹70,000 crore (or $8.5 billion). This significant development was announced on August 28, 2024, and is set to create the largest entertainment
conglomerate in India, encompassing 120 television channels and two streaming services.

The merger involves RIL, Viacom18 Media Private Limited, Digital18 Media Limited, Star India Private Limited, and Star Television Productions Limited. Following the deal, Reliance will hold a 63.16% stake in the new joint venture, while Disney will retain 36.84%. The CCI’s approval comes after previous concerns regarding the merged
entity’s potential dominance in cricket broadcasting rights, which could adversely affect competition and advertisers in the market.

The CCI noted that the approval is contingent upon the compliance with certain “voluntary modifications,” although specific details of these modifications have not yet been disclosed. The merger is expected to be completed by the end of 2024 or early 2025, with Nita Ambani appointed as the Chairperson and Uday Shankar as Vice
Chairperson of the joint venture.

This merger positions the new entity to compete vigorously against major players such as Sony, Netflix, and Amazon, leveraging a vast content library and extensive distribution capabilities. The merger agreement also includes provisions for Disney’s films and productions to be distributed in India through the new joint venture, which is anticipated to significantly enhance its market presence and operational efficiency in the competitive entertainment landscape.

Continue Reading
Advertisement

Recent Posts

Advertisement