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Data Science News
VentureBeat
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OpenAI expands Deep Research access to Plus users, heating up AI agent wars with DeepSeek and Claude
- OpenAI is expanding access to its Deep Research capability to ChatGPT Plus, Team, Education, and Enterprise users, providing specific query limits for each tier.
- Deep Research, powered by OpenAI's upcoming o3 model, uses AI to assist with complex research tasks by analyzing various sources and producing comprehensive reports.
- The rollout coincides with the emergence of China's DeepSeek, which challenges traditional AI business models by open-sourcing its technology.
- OpenAI's subscription tiers gate powerful capabilities, while DeepSeek opts for an open approach, inspiring competition and innovation in AI research.
- Different companies like Perplexity with DeepSeek-R1 integration and Anthropic's Claude offer diverse AI-powered research solutions, creating a fragmented market.
- OpenAI's balancing act involves maintaining exclusivity while increasing accessibility, as reflected in the tiered pricing and query limitations for Deep Research.
- Deep Research's high accuracy on challenging tests highlights its advanced capabilities, though it may exhibit biases and limitations like consensus bias and reliance on existing web content.
- Integration of Deep Research necessitates rethinking information workflows, with human oversight crucial for complex decision-making despite the efficiency gains it offers.
- The pricing structure balances affordability and scarcity, pushing organizations to prioritize queries that truly benefit from Deep Research's capabilities.
- Democratization of research capabilities shifts competitive advantage from information access to the ability to frame questions and leverage AI-generated insights effectively.
- Organizations must adapt to the democratized AI research landscape by developing the necessary processes, skills, and cultural mindset for utilizing deep research effectively.
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Scientificworldinfo
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Is BSc Data Science from IIT Madras Worth It?
- The B.Sc Data Science program from IIT Madras offers a comprehensive education in data science with a blend of statistical and computational techniques.
- It covers programming, data structures, algorithms, and elective courses in machine learning, data visualization, and natural language processing.
- The curriculum is divided into levels - Foundation, Diploma (Programming/ Data Science tracks), and Degree, allowing flexibility based on personal goals.
- The program emphasizes both theory and practice to equip students with practical skills necessary for real-world applications.
- It is known for its rigorous coursework, requiring significant time commitment from students, ensuring a comprehensive understanding of concepts.
- The faculty at IIT Madras online program brings depth of knowledge and clarity in teaching, despite occasional drawbacks of recorded lectures.
- The program offers accessibility to a diverse range of learners, including working professionals and individuals from non-technical backgrounds.
- Flexible learning options allow students to progress at their own pace, balancing other commitments with modular courses.
- The B.Sc. Data Science program from IIT Madras is more affordable compared to traditional on-campus degrees, with scholarship opportunities available.
- Placements and career prospects for graduates have shown promise, with internship and job opportunities in startups and mid-sized companies.
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Towards Data Science
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Efficient Data Handling in Python with Arrow
- Apache Arrow is an open-source tool optimized for analytics and efficient data handling in Python.
- Arrow is designed to accelerate big data processing and maintain interoperability with data tools like Pandas, Spark, and Dask.
- It enables faster read/write operations and efficient memory usage by storing data in a columnar format, making it ideal for analytical workloads.
- Arrow offers features like sorting, grouping, joining tables, and filtering, along with support for various file formats like Parquet, CSV, JSON, and Feather.
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Medium
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Economic Digital Integration: Transforming the Global Economy
- Economic digital integration is reshaping global economies through the integration of digital technologies, boosting efficiency and growth across sectors.
- Key technologies such as AI, cloud computing, and IoT are driving transformation, impacting industries like finance, retail, and healthcare.
- Opportunities like increased productivity and challenges such as the digital divide and cybersecurity risks are evident, with ongoing debates on job displacement.
- Future trends may involve AI advancements and sustainability integration, but challenges in global adoption and policy responses persist.
- Impacts vary by sector, with finance seeing advancements in FinTech, retail experiencing e-commerce shifts, and healthcare benefiting from telemedicine.
- Challenges include the digital divide, cybersecurity threats, workforce reskilling needs, and the necessity for adaptive regulatory frameworks.
- AI, cloud computing, big data analytics, blockchain, and IoT are key drivers of economic digital integration, reshaping industries with innovative business models.
- The transformation involves digitizing processes, integrating emerging technologies, and fostering a culture that embraces digital innovation for enhanced efficiency and growth.
- The balance between challenges like the digital divide and opportunities such as increased productivity requires strategies for inclusive and sustainable growth.
- Future trends anticipate AI advancements, metaverse experiences, sustainability integration, and wireless network evolution to shape the digital economy.
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Towards Data Science
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Breaking the Bottleneck: GPU-Optimised Video Processing for Deep Learning
- The CPU-GPU transfer process in video processing for deep learning introduces a performance bottleneck, especially for high-resolution and high frame rate videos.
- Using FFmpeg with NVIDIA GPU hardware acceleration can eliminate redundant CPU-GPU transfers and keep the entire video processing pipeline on the GPU for improved efficiency.
- Benchmark tests demonstrate a significant reduction in processing time, with speed improvements of up to 18% for longer videos.
- These optimizations are particularly beneficial for handling large video datasets and real-time video analysis tasks.
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Analyticsindiamag
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Alibaba Releases Open-Source Video Generation Model Wan 2.1, Outperforms OpenAI’s Sora
- Chinese tech giant Alibaba has released its open-source video foundation model Wan 2.1, surpassing OpenAI's Sora.
- Wan 2.1 outperforms existing open-source models and commercial solutions in video generation.
- Alibaba's suite includes three models for text-to-video, image-to-video, video editing, text-to-image, and video-to-audio.
- Wan 2.1 employs a new spatio-temporal variational autoencoder (VAE) architecture for video generation.
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Analyticsindiamag
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IBM to Acquire DataStax to Expand Generative AI Capabilities
- IBM plans to acquire DataStax, a provider of AI and data solutions, to expand generative AI capabilities.
- The acquisition aligns with IBM's focus on open-source AI and will strengthen its watsonx portfolio.
- DataStax's products will integrate with IBM's existing offerings, enhancing vector capabilities and adding flexible middleware capabilities.
- DataStax serves customers such as FedEx, Capital One, The Home Depot, and Verizon.
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VentureBeat
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Google makes Gemini Code Assist free with 180,000 code completions per month as AI-powered dev race heats up
- Google has released a free version of its AI-powered coding assistant, Gemini Code Assist, providing advanced coding tools to developers worldwide.
- Gemini Code Assist offers up to 180,000 code completions per month, surpassing other free coding assistants and significantly increasing efficiency for developers.
- The AI assistant supports all programming languages, integrates with popular development tools, and reviews code in GitHub for bug detection, stylistic improvements, and pull request summarization.
- By offering a free version with higher usage limits, Google aims to make AI coding tools accessible to all developers, supporting accelerated coding and improved code quality.
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Analyticsindiamag
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Madhya Pradesh Emerges as India’s Next Tech Hub with ₹25,640 Cr Investment at GIS 2025
- The Global Investors Summit (GIS) 2025 in Madhya Pradesh secured investment commitments worth ₹25,640 crore to make the state the next tech hub of India.
- The investments are expected to generate approximately 1,83,400 employment opportunities.
- Key investments include Tholons Inc.'s commitment of ₹500 Cr for GCC investments and ₹5,000 Cr in FDI, and Shree Tech Data Limited's ₹4,000 Cr investment in GCC & data centres.
- MoUs were signed with IBM, Barclays, Microsoft, VLSI, and L&T EduTech to drive investment, technological advancements, and skill development in the state.
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Analyticsindiamag
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CRED Launches Svalbard with AI-based Credit Management and Predictive Scoring
- Fintech platform CRED has launched Svalbard, a suite of credit experiences to empower members.
- Svalbard offers innovations in credit score management, credit card control, and liquidity solutions.
- New features include predictive analytics, goal-setting system, dynamic credit visualization, and clear credit health report.
- Svalbard also offers a unified dashboard for credit card management and introduces digital credit lines against mutual fund investments.
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Analyticsindiamag
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NoBroker Diversifies into SaaS with Multilingual ConvoZen.AI
- Real estate services company NoBroker has entered the SaaS market with ConvoZen.AI, a conversational intelligence platform.
- ConvoZen.AI is designed to analyze and transcribe customer interactions across multiple channels and supports multiple languages.
- The platform offers features such as speaker identification, sentiment analysis, and entity recognition to enhance customer service and operational efficiency.
- NoBroker has partnered with Google Cloud to leverage its AI infrastructure for the development of custom models and deployment at scale.
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Analyticsindiamag
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Yoshua Bengio Proposes ‘Scientist AI’ to Mitigate Catastrophic Risks from Superintelligent Agents
- Turing Award winner Yoshua Benjio, along with a group of AI researchers, proposed ‘Scientist AI' to address the risks of superintelligent agents.
- This AI system functions as a guardrail to protect against 'unsafe agentic AIs' and is designed to accelerate scientific progress and research.
- The proposed 'Scientist AIs' are trained to provide explanations for events based on their understanding of the world, rather than just pursuing goals.
- The system aims to avoid risks associated with reinforcement learning and becomes safer and more accurate with increasing computational power.
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Analyticsindiamag
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RevRag.AI Launches AI Onboarding Agent Sophie to Boost Customer Activation
- Bengaluru-based startup RevRag.AI has launched Sophie, an AI onboarding agent designed to enhance customer engagement and minimise sales funnel drop-offs.
- Sophie addresses revenue loss from sales funnel drop-offs by offering real-time AI assistance, proactive engagement, and personalised follow-ups via multiple communication channels.
- Sophie is part of RevRag.AI’s suite of AI agents, empowering businesses to focus on high-value interactions while automating repetitive tasks.
- RevRag.AI aims to bridge the gap between enterprises and their customers, ensuring no high-intent prospect is lost due to inefficient follow-ups.
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Analyticsindiamag
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Can Elon Musk’s Loop or IIT’s Hyperloop Solve India’s Traffic Woes?
- Elon Musk's Dubai Loop aims to ease traffic congestion by developing an eco-friendly electric vehicle transportation system in Dubai.
- The Loop, a concept by The Boring Company, offers faster urban transport compared to the hyperloop's technical challenges and high costs.
- Musk's potential partnership with the Indian government may bring the loop system to India in the future, as Tesla plans operations in the country.
- IIT Madras' Avishkar Hyperloop project, inspired by Musk's original concept, aims to revolutionize transport in India.
- The project faces challenges like heat dissipation and safety concerns, exploring thermal cooling and scalability issues.
- Despite the hurdles, the Hyperloop project offers potential benefits for India's transportation, reducing travel time significantly and alleviating overcrowding.
- The Global Hyperloop Competition at IIT Madras features innovative teams working towards high-speed transport solutions for the country.
- Avishkar Hyperloop has secured funding for further development, but scaling the technology requires additional financial support and infrastructure advancements.
- While The Boring Company emphasizes the loop as a practical solution, IIT Madras continues efforts to make the hyperloop a viable option for India's traffic challenges.
- The future of high-speed transport in India remains competitive, with both loop and hyperloop technologies in contention.
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Analyticsindiamag
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Databricks Expands Presence in India with New Bengaluru Office
- Databricks has opened a new office in Bengaluru to expand its presence in India.
- The strategy is aimed at tapping into India's software industry and skilled engineers.
- The company has witnessed strong growth in India driven by the demand for data and AI solutions.
- Databricks' investment in India includes infrastructure expansion and team expansion.
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