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Zone Startups India Selects 15 Startups For EmpoWer Accelerator Program

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Zone Startups India Selects 15 Startups,15 Startups For EmpoWer Accelerator Program,Startup Stories,Latest Business News 2017,Inspirational Stories 2017,Zone Startups India selects 15 women Led Startup,EmpoWer Accelerator Program,15 Women Entrepreneurs in india,Top 10 Women Entrepreneurs

Zone Startups India has selected 15 women led startups for the second edition of its EmpoWer Accelerator Program. The current batch of 15 entrepreneurs were selected out of 376 applicants from across India.

EmpoWer is backed by the Department of Science and Technology, Tata Trusts’ Social Alpha, Microsoft, Amazon, ICICI Bank, PayU, CapitalFirst and FlexiLoans. The selected startups represent various technology themes such as Internet of Things, artificial intelligence and deep learning, across industries like healthcare, smart cities and enterprise solutions. A panel comprising of 12 mentors and noted industry experts selected the startups after careful examination.

The startups that have been shortlisted will join the six week community programme. All the entrepreneurs will be provided with industry networking opportunities, valuable mentoring sessions, workshops, case studies, peer to peer interactions, boot camp and investor networking. The winner of this Cohort will also get the opportunity to attend a week long business development and personal mentorship programme in Quebec, Canada.

Launched in 2016, the accelerator programme has been designed to identify the need based gaps witnessed by women entrepreneurs. Through extensive research, Zone Startups is gunning to fill the gaps such as a lack of peer group of like minded women, limited financial independence, a risk averse mindset, lack of training in technology and finance among others. In the first edition, $ 23.6 million was collectively raised in funds by the 15 startups which were selected out of 191 applications.

Speaking about the 2nd Cohort, Director of Zone Startups India, Ajay Ramasubramaniam said, “ We believe we have unearthed some solid winners in the final cohort of 15, who will go on to do wonders for themselves and the ecosystem of women entrepreneurs.” The selected startups will be supported by Zone Startups India for up to a year after the programme.

Here Is the List Of The 15 Selected Startups And Their Founders –

Aardra Kannan Ambili – Riot Solutions Inc.
Founded in 2015, Riot Solutions is an IoT-based startup which develops sleep monitoring solutions for babies to track their wellness.

Meenakshi Vashist – Technology Uncorked
Technology Uncorked, led by Meenakshi Vashist, offers a light IoT framework for devices and appliances for energy efficient, Smart and connected Living Spaces.

Komal Goyali – WOWLET
WOWLET runs a mobile application that offers toilet maintenance and cleaning services for household, office complexes, and restaurants. Founded in 2017, the startup gives the user real time information on the cleanliness of  toilets.

Neha Bagoria – Tapu Sustainable Solutions
Tapu Sustainable Solutions is into sustainable green solutions and provides waterless urinal solutions such as EcoTrapin Xtra and EcoTrapin Plus to help alleviate issues like climate change.

Vishakha Singh- ICONICbot
India’s first multilingual, AI driven chatbot, ICONICbot, helps to connect influencers and their fans on relevant messaging platforms. Available in English and Tamil, the company claims the bot has processed 2.6 million messages.

Shruthi Gilla – Revol Inc.
Revol is a startup engaged in the creation of smart wallets, such as Cashew, equipped with fingerprint authentication and Bluetooth connectivity. The company, registered in Delaware, USA, has a target to sell 10,000 units globally and generate $1,000,000 in revenue.

Niyati Agarwal – Morph.ai
Morph.ai is an enterprise ChatBot suite founded in 2016. The company introduced the concept of ‘chatbot as a landing page’ to boost lead generation for businesses and engage in personalized marketing and sales.

Chandni Rajendran – Tactopus
The Tactopus team, lead by design innovator Chandni Rajendran, is developing an interactive edtech device such as interactive books for blind children. Children with visual disabilities can listen to audio labels and explanations while feeling and reading tactile shapes with their fingers.

Pria Randolph – Bitgram Technologies
Bitgram is a trust based consent oriented software product which uses blockchain and machine learning for instant, real time exchange of verified information.

Veena Moktali – Periwinkle Technologies
Periwinkle Technologies Pvt., Ltd., is a med tech startup that provides various products for healthcare to enable faster and better diagnostics. The company also developed an affordable device in association with Tata Memorial Center for the diagnosis of cervical cancer.

Vidya Vellala – Faasthelp
Faasthelp is a customer support and engagement platform which helps businesses retain customers, convert new ones and enhance customer satisfaction.

Sivareena Sarika – PregBuddy Technologies
Founded in 2016, PregBuddy is a mobile application that is designed as a one stop platform for smart communication between doctors and patients, especially for pregnant women in India.

Mansi Khanna -The Friday Code
The Friday Code builds products which aid the growth of traditional and new age brands, develop platforms and transform organizations. Founded in 2016, this startup helps brands and agencies increase their returns from investments through efficient tracking and optimization of advertisements.  

Geetanjali Agarwal – Bizlem
Bizlem deals in chatbot technologies that tries to solve major business problems using artificial intelligence.

Dr. Tanushree Devi Laishram – CyGen
CyGen is an independent organization which provides unprecedented access to personalized healthcare services. Launched in 2016, this company helps individuals increase their knowledge and understand those opportunities which can minimize healthcare challenges and improve the quality of life.

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Apple Expected to Discontinue These iPhones, iPads, and Watches After September 9 Event!

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Startup Stories

With Apple’s highly anticipated “It’s Glowtime” event scheduled for September 9, 2024, speculation is rife about which existing devices may be discontinued following the launch of new products. Historically, Apple has a pattern of phasing out older models to streamline its product lineup and encourage consumers to opt for the latest offerings. This year appears to be no different, with several iPhones, iPads, Apple Watches, and AirPods likely to be retired.

iPhones Expected to be Discontinued

Apple is expected to discontinue several iPhone models, particularly those that are being replaced by the new iPhone 16 series:

  • iPhone 15 Pro and Pro Max: Following Apple’s trend of discontinuing flagship models a year after their release, the iPhone 15 Pro and Pro Max are likely to be phased out to make room for the new Pro models in the iPhone 16 lineup.
  • iPhone 14 Plus: This model, which was introduced as a larger alternative to the standard iPhone 14, may also be discontinued. Its sales have not met expectations, and Apple may choose to focus on the more affordable standard iPhone 14 instead.
  • iPhone 13: As the oldest model still available, the iPhone 13 is expected to be retired, leaving only the standard iPhone 14 in the entry-level segment.

Apple Watch Models Facing Retirement

The upcoming event will likely see the introduction of new Apple Watch models, leading to the discontinuation of older versions:

  • Apple Watch Series 9 and Ultra 2: These models are expected to be replaced by the new Apple Watch Series 10 and Ultra 3. The Series 10 is rumored to feature significant upgrades, including a larger display and a new chip, while the Ultra 3 is anticipated to enhance performance with improved AI capabilities.
  • Apple Watch SE 2: Depending on the timing of the launch of the new SE model, the current SE 2 may also be discontinued.

AirPods and iPads Set for Discontinuation

In addition to the iPhones and Apple Watches, Apple is likely to refresh its AirPods lineup:

  • AirPods 2 and 3: These models are expected to be replaced by new AirPods 4, which will introduce features such as Active Noise Cancellation and a new design.

For iPads, the existing iPad Mini (6th generation) and iPad (10th generation) may be discontinued in favor of updated versions that incorporate the latest Apple Silicon technology.

Conclusion

As Apple prepares for its September 9 event, the anticipation surrounding new product launches is palpable. The discontinuation of older models will not only streamline Apple’s offerings but also encourage consumers to consider the latest innovations in technology. With a focus on enhancing user experience through improved features and capabilities, the upcoming event promises to be a significant moment in Apple’s product evolution.

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How AI and Machine Learning Are Shaping the Future of Healthcare

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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.

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

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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.

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