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Data Scientist – Biosensor Analytics

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Biofourmis is a rapidly growing, global digital health company filled with committed, passionate professionals who care about augmenting personalized care and empowering people with complex chronic conditions to live better and healthier lives. We are pioneering an entirely new category of medicine by developing clinically validated, software-based therapeutics to provide improved outcomes for patients, smarter engagement & tracking tools for clinicians, and cost-effective solutions for payers. We are collectively devoted to a single-minded idea: powering personally predictive care. Our dynamic growth has been marked by quadrupled headcount in the last 12 months via both expansion & acquisition, yielding a global footprint with offices in Boston, Singapore, Bangalore, and Zurich. We are backed by prominent international venture capital investment & have cultivated relationships with worldwide healthcare stakeholders over the last 5 years.


What is the changing nature of RegTech?

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Founded in 1991, India-headquartered HCL Technologies is a global technology company that helps enterprises reimagine their businesses for the digital age. The company specializes in key areas, including digital, IoT, cloud, automation, cybersecurity, and analytics, amongst others. With the company increasingly having a presence in the RegTech space, how does it see the sector changing? How is RegTech changing compliance? According to Daryl Wilkinson – Senior Executive, Strategic Initiatives, Financial Services UK&I at HCL Technologies, "I think you can look at this through two lenses. First, there appears to be a consensus that the global RegTech market is expected to achieve $30bn by 2027 – so that alone is changing the compliance market –new investment is disrupting incumbent models and is changing the way regulators engage with businesses. The second lens is cost; financial services rely heavily on legacy technology – RegTech's nature is to find that niche to solve those problems at a much lower cost than the banks and insurers might otherwise do themselves."


Artificial Intelligence Based Cameras To Be Introduced By Kochi Metro

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Kochi Metro Rail Ltd (KMRL) will implement a system for passenger profiling that will be supported by artificial intelligence (AI) as part of its project to improve the transportation experience. A data analytics platform is being developed jointly by Kochi Metro and Rajagiri School of Engineering and Technology. By deploying AI cameras at the stations, all metro users will be profiled based on gender and age. AI cameras would also be used for general monitoring, including identifying lost luggage and determining the number of people arriving. According to KMRL managing director Loknath Behera's statement to Times Of India, specialized AI cameras will be placed at the Automatic Fare Collection (AFC) gates.


Meet the women entrepreneurs in the artificial intelligence domain

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Artificial Intelligence (AI) is a household name. All around us, businesses are increasingly leveraging AI for a wide range of uses. According to Allied Market Research, the global AI market size was valued at $65.48 billion in 2020, projected to reach $1,581.70 billion by 2030, growing at a CAGR of 38%. However, when it comes to women in AI, a World Economic Forum report states that only 22% of AI professionals globally are female, compared to 78% male, which accounts for a gender gap of 72%. And there is ample room for growth.


The Pleasurable Secret to Dealing With Extreme Heat

Slate

Much of the planet is in the midst of a record-setting heat wave that has set large swaths of Europe on fire, disrupted daily life, and killed thousands. By some estimates, June 2022 tied with June 2020 (another disaster-laden year) for being the hottest June in the historical record. Other estimates say the scorcher of a month was only the third hottest or maybe only the sixth hottest June humans have ever recorded. Not to be outdone, July, in many parts of the United States, shattered previous heat records. And August is coming in, well, hot, extremely hot.


ML in Action: Campaign to Collect and Share Machine Learning Use Cases

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ML in Action is a virtual event to collect and share cool and useful machine learning (ML) use cases that leverage multiple Google ML products. This is the first run of an ML use case campaign by the ML Developer Programs team. Let us announce the winners right now, right here. They have showcased practical uses of ML, and how ML was adapted to real life situations. We hope these projects can spark new applied ML project ideas and provide opportunities for ML community leaders to discuss ML use cases.


A degree in data science is not important - Debdoot Mukherjee, Head of AI, Meesho

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Debdoot Mukherjee is the Chief Data Scientist and Head of AI at Meesho, the Indian origin social commerce platform at the forefront of the boundaryless workplace model that became a norm in the aftermath of the Covid-19 pandemic. Upon completing his postgraduate degree from IIT-Delhi, Mukherjee began his career in the research division at IBM, where he attained expertise in Information Retrieval and Machine Learning techniques. He then journeyed on to work in impactful roles at companies like Hike, Myntra and ShareChat before leading the AI and data science division at Meesho. In an exclusive interview with Analytics India Magazine, Debdoot Mukherjee opened up about his journey into data science, machine learning and everything AI. AIM: What attracted you to this field?


Trai floats paper on leverage AI, big data for sector

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How to do digital marketing in the age of privacy? Industry 4.0: Why thousands of small businesses continue to view digital transition with scepticism The timeline for public consultations on the new data bill may be announced by the end of August as the ministry of electronics and IT (MeitY) is at an "advanced stage with the draft of the comprehensive framework," a senior official told ET. The government withdrew the previous version of the bill on Wednesday. The Central Bureau of Investigation (CBI) sought day-to-day hearing of its appeals in the Delhi High Court against the acquittal of former telecom minister A Raja and other accused in the 2G spectrum case. India dropped its target of establishing 500 GW of renewable energy capacity by 2030, giving itself the flexibility of 50% power from non-fossil fuel sources by then in its commitments to the United Nations Framework Convention on Climate Change (UNFCCC).


Robotic-Assisted Surgery: Da Vinci System

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Robotic surgery, also called robot-assisted surgery, allows doctors to perform many types of complex procedures with more precision, flexibility, and control than is possible with conventional techniques. Robotic surgery is usually associated with minimally invasive surgery -- procedures performed through tiny incisions. It is also sometimes used in certain traditional open surgical procedures. The following decade saw an unprecedented growth of robotic surgery in India. There are currently 66 centers and 71 robotic installations as on July 2019, with more than 500 trained robotic surgeons in our country.


T-Hub Startup Bluecopa Raises USD 2.3 Million in the Seed Funding Round - Express Computer

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T-Hub, which leads India's innovation ecosystem, announced that it has co-invested in Bluecopa through T-Fund along with Blume Ventures and other notable investors like Titan Capital, Speciale Invest, Bharat Founders Fund, T2D3, Amplify, and Force Ventures. Finance operations automation platform, Bluecopa raised USD 2.3 million in this seed funding round. Also joining the funding round are seasoned entrepreneurs Krish Subramanian, Rajaraman Santhanam, Founders of Chargebee, Rohit Chennamaneni, Founder of Darwinbox, Asad Khan, and Jay Singh, Founders of LambdaTest. T-Fund is primarily a Co-Investment Fund, which invests alongside established Angels, Angel Networks, and venture capitalists. T-Hub is the Investment Manager and will formulate investment and business development strategies for this fund. It will source startups from various sectors, including but not restricted to Information Technology, Cleantech, Agritech, Fintech, Healthtech, Logistics, Artificial Intelligence (AI), Machine Learning (ML), Internet of Things, Augmented Reality (AR), Virtual Reality (VR), Hardware, Blockchain, and Consumer tech.