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Data Science News
Medium
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Nvidia DGX Spark: Is it worth it?
- Nvidia has released the specifications for the DGX Spark and made it available for reservation.
- The DGX Spark is marketed as an affordable 'AI supercomputer on your desk' priced at $3000.
- It has a lower than expected memory bandwidth, disappointing some users who were hoping for a higher bandwidth.
- Compared to competing systems like Apple's M4 max, the DGX Spark has roughly half the memory bandwidth.
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Medium
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155
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This Month Is The Worst For Data Engineering
- Data engineering can be challenging, particularly when it comes to handling time-related issues
- One common challenge is accounting for Leap Year by creating schedules and variables that consider the extra February day
- Another frequent problem is dealing with months that have 31 days and ensuring date attributes are isolated correctly
- To learn more about resolving these issues and for detailed analyses of date problems, refer to the article 'Why Your Data Pipelines Will Fail On These 10 Days Every Year (And What To Do About It)'
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Analyticsindiamag
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Cadence, NVIDIA Extend Partnership for Accelerated Computing and Agentic AI
- Cadence Design Systems and NVIDIA are expanding their partnership to focus on accelerated computing and agentic AI.
- Cadence will leverage NVIDIA's Blackwell architecture to accelerate its engineering and scientific solutions, such as reducing computational fluid dynamics simulation times significantly.
- The partnership aims to develop a full-stack agentic AI solution and integrate Cadence's JedAI Platform with NVIDIA's NeMo generative AI framework and Llama Nemotron Reasoning Model.
- The collaboration will enable complex simulations that were previously impossible, driving efficiency and fueling scientific discovery.
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Analyticsindiamag
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Bengaluru-Based SkyServe Partners with NASA and D-Orbit for Earth Observation
- Bengaluru-based space tech company SkyServe is partnering with NASA and D-Orbit for advancing Earth observation systems.
- The partnership involves deploying AI models developed under NASA's NOS initiative on D-Orbit's ION Satellite Carrier.
- The collaboration aims to enhance emergency response times and address Earth observation challenges like detecting wildfires and tracking unregistered ships.
- This collaboration is part of broader efforts to redefine the possibilities of space innovation and drive advancements in global monitoring.
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Analyticsindiamag
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Bengaluru-Based SkyServe Collaborates with NASA and D-Orbit for Earth Observation
- Bengaluru-based space tech company SkyServe is collaborating with NASA’s JPL and D-Orbit to advance Earth observation systems.
- The collaboration aims to create a unified network of sensors for near-real-time monitoring of phenomena like wildfires and floods.
- SkyServe's STORM platform enables the deploying of AI applications in orbit, while SURGE suite provides an on-ground environment for AI model development.
- The collaboration aims to enhance emergency response times and accelerate decision-making in various use cases, such as detecting wildfires and tracking unregistered ships.
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Educba
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329
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Essential Video Editing Features
- The article discusses the importance of essential video editing features for video creators to address common issues and enhance quality.
- AI-powered tools like AI Video Enhancer and Video Watermark Remover can refine content and improve visual appeal.
- AI Video Enhancer analyzes and enhances video quality through intelligent adjustments, making videos clearer and brighter.
- Recommended apps for AI Video Enhancement include BeautyPlus, InShot, CapCut, and Videoleap, each offering unique features for video editing.
- Video Watermark Remover helps remove unwanted logos, text, or images from videos for a cleaner look and repurposing footage.
- Apps like BeautyPlus, Apowersoft, HitPaw, and Video Eraser are suggested for removing watermarks, each with different functionalities and platforms.
- The article emphasizes considering factors like budget, technical skills, and required features when choosing the ideal editing tools.
- AI Video Enhancer and Video Watermark Remover provide convenient solutions for video editing challenges, enhancing content quality with minimal effort.
- Experimenting with different apps and features can help creators find the right tools to elevate their content creation process.
- The article concludes by recommending further reading on related topics like AI photo generators, AI image enhancers, AI in content creation, and AI tools for work efficiency.
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Analyticsindiamag
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Michael Seibel Steps Down from Y Combinator After 12 Years
- Michael Seibel steps down from Y Combinator after a decade at the accelerator.
- Seibel will move into a partner emeritus role and pursue helping the government serve its citizens.
- During his time at Y Combinator, Seibel co-founded Justin.tv and Socialcam.
- Y Combinator recently celebrated its 20th anniversary and has shifted its focus to AI startups.
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Analyticsindiamag
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356
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How Narayana Health Built a Data-Led Strategy Without Excel Sheets
- Narayana Health operates with a data tool called Medha, replacing reliance on Excel sheets.
- Medha enables real-time tracking of revenue, cost efficiencies, and operational bottlenecks.
- Narayana Health uses predictive analytics and AI to manage inventory more efficiently.
- Medha allows data-backed KPI tracking, detailed financial scenario simulations, and facilitates a data-driven culture.
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Analyticsindiamag
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281
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LinkedIn Reveals India’s Top Skills for 2025, AI Literacy Takes Lead
- LinkedIn has unveiled its 'Skills on the Rise' ranking, highlighting India's top skills for 2025.
- Fastest-growing skills in India include creativity and innovation, code review, problem-solving, pre-screening, and strategic thinking.
- AI literacy is becoming essential, with a growing demand for skills like large language models (LLMs) and prompt engineering in India.
- Human-centric skills like creativity, innovation, problem-solving, and strategic thinking are increasingly valuable, along with AI proficiency in various industries.
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Medium
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111
Artificial Intelligence vs Machine Learning vs Data Science
- Artificial Intelligence (AI), Machine Learning (ML), and Data Science are interconnected fields that work together to power technological advancements.
- AI acts as the brain, ML provides learning capabilities, and Data Science supplies the fuel - data.
- Data Science provides insights, ML extracts patterns, and AI makes smart decisions.
- Organizations that invest in AI, ML, and Data Science gain a competitive edge and are better positioned for innovation and efficiency.
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Analyticsindiamag
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250
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How Commonwealth Bank of Australia Built a GenAI Chatbot in Just 6 Weeks
- Commonwealth Bank of Australia (CBA) implemented generative AI to enhance customer service, streamline processes, and boost security.
- CBA's generative AI chatbot, CommBank, was developed in under six weeks, improving internal operations and extending to customer-facing solutions.
- The chatbot integrated into the app simplifies complex queries for business banking customers, reducing the need for external support.
- CBA's collaboration with AWS facilitated rapid development, reflecting the rapid advancements in AI adoption and the bank's dedication to responsible AI.
- CBA has over 60 generative AI use cases live, supporting efficiency and enhancing customer interactions.
- The GenAI Council, an AI-focused leadership body at CBA, drives AI acceleration and ensures alignment across different teams.
- CBA emphasizes responsible AI, integrating governance frameworks to ensure safe implementation, including checks on groundedness and profanity filters.
- AI-driven solutions at CBA include financial management predictive analytics, disaster response integration, and personalized customer engagement.
- Fraud prevention efforts at CBA using AI have reduced scams by 70% in the past two years, with features like NameCheck and CallerCheck saving significant amounts for customers.
- Unique AI applications at CBA also involve preventing payment abuse through innovative features like profanity blockers and harmful intent detection in payment messaging.
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Educba
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Generative AI Engineers
- Generative AI engineers are pivotal in advancing AI capabilities by automating creativity, streamlining workflows, and building intelligent applications.
- Companies face challenges in hiring AI engineers proficient in model development, fine-tuning, and real-world deployment.
- Skilled generative AI engineers must possess expertise in deep learning frameworks like TensorFlow and PyTorch, as well as in training and deploying large language models (LLMs) and generative adversarial networks (GANs).
- Companies need skilled engineers capable of developing, optimizing, and maintaining generative AI models to stay competitive in various industries.
- Challenges in hiring include a shortage of specialized talent, assessing real-world AI implementation skills, and scaling AI solutions beyond prototypes.
- To find the best generative AI engineers, platforms like GitHub, Kaggle, Hugging Face, AI conferences, and hackathons are valuable sources.
- Evaluating AI engineers should focus on their portfolio of generative AI projects, deployment experience, and problem-solving ability.
- An effective hiring process for generative AI engineers involves defining project requirements, conducting technical assessments, and assessing communication skills.
- AI-powered solutions are transforming the hiring process by automating talent matching, vetting tools, and predictive analytics for hiring success.
- Generative AI market statistics project significant growth, with businesses seeking measurable outcomes, while concerns about accuracy and security persist.
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Analyticsindiamag
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186
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Researchers Unveil AudioX—AI Model That Converts Anything to Audio, Music
- Researchers from the Hong Kong University of Science and Technology and Moonshot AI have developed a new AI model called AudioX.
- AudioX is a unified model that generates audio and music using multimodal inputs, such as text, video, image, music, and audio.
- The model offers various use cases, including text-to-audio, text-and-video-to-audio, and video-to-audio conversion.
- The researchers aim to address the scarcity of high-quality multi-modal data and improve the field of multi-modal audio generation.
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Analyticsindiamag
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What Was Former Intel CEO Doing at NVIDIA’s Flagship Event?
- Former Intel CEO, Pat Gelsinger, made a surprising appearance at NVIDIA's GTC 2025 event.
- Gelsinger participated in a panel discussion at the event and shared strong opinions on quantum computing and GPU usage.
- He believes data centers of the future will include CPUs, GPUs, and quantum processing units (QPUs).
- Gelsinger disagreed with NVIDIA CEO Jensen Huang's timeline for quantum computing, stating it could be achieved in a few years.
- He expressed the need for quantum computing to tackle complex human-related problems and innovations.
- Gelsinger also criticized the use of GPUs for AI model inference, suggesting a need for more optimized solutions.
- He highlighted the emergence of inference-specific hardware from companies like Groq, Cerebras, and SambaNova.
- Despite differing views, Gelsinger remains a fan of Jensen Huang and NVIDIA's achievements.
- Gelsinger rejected the idea that GPUs are ideal for AI inference due to cost inefficiencies and the need for optimization.
- In conclusion, Gelsinger's presence at the event showcased his strong opinions and continued admiration for NVIDIA's work.
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Medium
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378
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Why Full-Stack Development is the Ultimate Career Move in 2025
- The demand for Full-Stack Developers is skyrocketing.
- Full-Stack Development offers job security and high salaries.
- It provides flexibility for freelance and remote work.
- Full-Stack Development allows individuals to build their own apps and businesses.
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