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Data Science News
Medium
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Problem with social media
- The rise of algorithms on social media platforms has led to a loss of control over what content users see.
- The proliferation of short-form video content on platforms like TikTok, Instagram, and YouTube has resulted in declining attention spans and addictive behavior.
- Users often see posts from popular creators or trending topics instead of updates from friends and family.
- Short-form videos are entertaining but can have negative effects on users, especially younger ones, who find it hard to stop watching.
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XBANKING: Unlocking the Power of Staking, Pools, and Restaking
- XBANKING is the largest staking, restaking, and liquid pools platform.
- As a non-custodial platform, XBANKING ensures users retain control over their assets.
- XBANKING offers attractive returns and profitable staking APR.
- XBANKING's innovative restaking feature allows users to unlock double income from their tokens.
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Implementing a HashMap in Rust
- A HashMap is a data structure that provides optimal performance for searching elements in large arrays.
- Using hashing, a HashMap assigns an index to each element based on its hash value, allowing for fast retrieval.
- In case of collisions, where multiple elements have the same hash value, a linked list is used to store the elements at the same index.
- The HashMap implementation includes functions for adding, deleting, checking for element existence, counting, and printing the elements.
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Thanks(less)giving
- Completing 'housekeeping' work during the last week of December can minimize interruptions after the holidays.
- Ensure proper documentation identifies key information to simplify the task.
- Delete unused resources and automate cost optimization to save time and expenses.
- Sync logs with your cloud service provider for effective debugging and error monitoring.
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Medium
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Researchers and data scientists must think like designers
- Researchers and data scientists should approach their work with intentional design.
- Adopting the Design Council's 'double diamond' framework helps in understanding user problems and co-designing solutions.
- Embracing failure and asking good questions are crucial for learning and problem-solving.
- Using user stories and jobs to be done methods can enhance understanding of user needs and goals.
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Analyticsindiamag
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ElevenLabs Introduces GenFM, its Own Version of NotebookLM
- Software company ElevenLabs has introduced GenFM, a feature in its ElevenReader app that converts documents into personalised AI-generated podcasts.
- GenFM supports quick audio generation across 32 languages and offers adaptive summaries and AI-generated narration.
- ElevenLabs is expanding globally, with a focus on India, and is making strategic investments to enhance support for Indic languages and grow the Voice Library.
- Other companies like PlayAI and Meta have also released AI-based tools for generating podcasts and summaries from text.
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Educba
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AI is Revolutionizing Education
- AI is transforming the education system, providing personalized support and fostering inclusivity for special education students.
- AI is changing content creation by helping teachers create quizzes, lesson plans, and summaries based on subject matter.
- AI personalizes learning experiences, allowing people to learn at their own pace.
- AI is enhancing grading and feedback processes by reducing teachers’ time spent grading and providing timely, personalized feedback.
- AI is revolutionizing the education system by making learning more engaging through gamification.
- Teachers save time while ensuring students receive resources that are aligned with their learning pace and style.
- AI tools offer tailored feedback, helping students identify strengths and areas for improvement.
- AI-powered educational games and simulations make complex topics more accessible and fun, increasing student motivation.
- AI is shaping the direction of learning and teaching and creating a more inclusive and engaging educational environment.
- AI advancements create new opportunities for students and educators, fostering a more welcoming and involved educational environment.
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Analyticsindiamag
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AI PCs are Hiding the Truth Behind More TOPS
- AI PCs are the future of Windows’ personal computing, says AMD’s CEO Lisa Su. Most AI PCs are built on top of Microsoft Copilot+ capabilities. NPUs perform all the calculations for AI-related tasks. Microsoft states a minimum of 16 GB of memory, 256GB SSD and an NPU capable of processing at least 40 TOPS, or trillion operations per second while running its ‘world-class’ SLMs.
- Marginal to other competitors, AMD Ryzen AI 9 HX PRO 370 stands on top with 50 TOPS, while Qualcomm’s Snapdragon X Elite Plus, and Intel’s Lunar Lake processors offer 45 TOPS. However, high TOPS number alone does not guarantee optimal AI performance; various factors working in tandem genuinely define an NPU’s prowess.
- With powerful NPUs, most AI-related tasks can be processed locally, with minimal impact on battery life. Offloading AI-related tasks to the cloud isn’t efficient, and there are also added concerns regarding data privacy.
- According to sources, NVIDIA believes that an NPU’s capability of processing 40 TOPS is enough for just the “basic tasks”. While NVIDIA’s GPU-powered chipset offers significantly better performance over an NPU-equipped chip, the former will also end up drawing around 80-150W of power, which means three to five times more power consumption.
- Users are still sceptical about AI PCs, with 44% of the respondents surveyed in a study commissioned by Intel believing that it is a gimmick, and 86% were “concerned about the privacy and security of their data when using an AI PC”.
- AI-enabled PC shipments are projected to grow with a CAGR of 42.1% from 2023 to 2028. The market is projected to grow from $50.61 billion in 2024 to $231.30 billion by 2030, at a CAGR of 28.82%.
- The enterprise arena is expected to be a major driver of AI PC adoption. Another report from Gartner suggests that AI PCs will occupy 100% of the enterprise market by 2026. The end of support for Windows 10 PCs in October 2025 is also likely to drive the adoption of newer, more capable AI PCs.
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Meesho Uses AI to Make Shopping Smarter
- Meesho has joined the list of Indian e-commerce giants using AI to enhance user experience.
- The Bengaluru-based startup evaluated different generative AI solutions and opted for Azure OpenAI for cost optimization of call centres.
- The company also uses GitHub Copilot for its internal developer ecosystem.
- Meesho's revenue grew by 33% to ₹7,615 crores in FY 2023-24.
- The startup has leveraged generative AI and machine learning for better discovery, in-app experience and customer support.
- Meesho uses LLMs in customer support to deal with large volumes of inquiries and to scale human-intensive workflows.
- LLMs automate the creation and annotation of annotated ground truth data, which eases the process of manual labelling.
- Meesho uses LLMs to understand transliterated text in Indic languages, which is inherently ambiguous, to validate results and improve queries.
- Meesho utilises AI for set-up journeys cataloguing, logistics, fraud detection and scaling fulfilment operations.
- Meesho is not alone, Flipkart has also introduced its AI-powered search feature, Immerse, which offers a fusion of text and image search capabilities underpinned by generative AI.
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TransUnion Expands Pune GCC to Boost Innovation and Operations
- TransUnion has expanded its Global Capability Center (GCC) in Pune, India to boost innovation and operations.
- The expanded facility now spans 59,307 square feet across two floors, supporting product and platform solutions, data science and analytics, intelligent automation, and more.
- The Pune GCC is a key hub within TransUnion's global network, playing a pivotal role in scalability, operational resilience, and service offerings.
- The expansion reflects TransUnion's commitment to business growth, creating career opportunities for local talent, and enhancing efficiency and service quality.
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Medium
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Top 10 FAQs Every AI Leader Should Be Aware Of
- AI enables businesses to automate repetitive tasks, gain insights from data, and deliver personalized experiences.
- Starting with AI requires a clear strategy: Define objectives, assess data readiness, start small, upskill teams, and collaborate.
- Establish governance, address bias, ensure transparency, and implement accountability are crucial for ethical AI implementation.
- Integration issues, talent gaps, data silos, and change management are challenges in scaling AI across an organization.
- AI automates repetitive tasks, potentially displacing jobs while creating new roles in AI development, data analysis, and system management.
- Leaders should set clear KPIs to evaluate AI project success using operational efficiency, revenue growth, and customer satisfaction.
- Mitigation strategies involve implementing robust cybersecurity measures, using diverse datasets, and staying updated on legal regulations.
- AI contributes to sustainability by optimizing energy usage, improving resource management, and aiding in climate research.
- Trust is critical for AI adoption. Leaders can foster trust by being transparent, ensuring fairness, and providing control.
- AI leaders must balance innovation with responsibility, ensuring long-term success while addressing societal concerns.
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Analyticsindiamag
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Dear Investors, Our Failure is on You: Startup Founders
- Healthcare startup, Olive AI, has shut down due to rapid, unsustainable growth and strategic miscalculations despite significant funding from high-profile investors and reaching a valuation of $4 billion in 2021.
- According to data, several AI startups backed by trustworthy investors have shut down over the past five years, highlighting the impact investors can have on startup success.
- Khosla Ventures founder, Vinod Khosla, has stated that 90% of investors do not add value to a company, with 70% of them adding negative value as they have not earned the right to advise an entrepreneur.
- The rise of AI startups has transformed VC firms investing in these companies, and expectations of VC input has evolved alongside this trend.
- The relationship between VCs and startup founders is vital, with questioning on the part of the VC being perceived as an important aspect of the former's involvement in the latter's company.
- VCs tend not to interfere with the business side of a startup, but they can influence a company's direction and strategy through their input on the board, which can lead to friction with founders.
- During risk-driven decision-making situations, it is desirable for the entrepreneur to have a calming board rather than one which adds to the stress.
- Conflicts between VCs and founders regarding involvement and ideas are largely the reason for ineffective performance results.
- 70% may not be the absolute number regarding the percentage of VCs who negatively impact a company, but conflicts arising from a mismatch of expectations are often the cause of friction.
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Medium
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Unlock Exclusive Savings on the Hottest AI Tool This Black Friday!
- Unlock your creative potential with Kittl’s versatile AI tools that streamline your design process.
- Join now to take advantage of a free trial!
- Kittl is a user-friendly online graphic design platform that caters to both beginners and seasoned designers.
- It offers a wide array of tools and templates designed to streamline the creative process.
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Analyticsindiamag
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Every App is Now an AI App
- Microsoft introduced Azure AI Foundry at its Ignite 2024 event
- Azure AI Foundry is a platform for designing, customising and managing AI apps and agents
- The platform is intended for use by workers beyond AI engineers and developers, including business leaders and IT professionals who can access tools that provide insights into AI's impact on their business
- Meanwhile, Amazon Bedrock provides access to foundational models from third-party providers and its own models like Titan
- While Azure AI Foundry mainly uses OpenAI's models like GPT, Bedrock offers more flexibility in terms of model customisation for complex workflows
- Both Azure AI Foundry and Bedrock operate on a pay-as-you-go pricing model
- At Ignite 2024, Microsoft also integrated Azure AI with GitHub and Copilot Studio
- The platform provides over 1,800 AI models for experimentation and simplifies AI integration
- The Azure AI Foundry SDK provides a simplified coding experience that merges components together to build AI apps
- Jessica Hawk, Microsoft's corporate VP of data, AI and digital applications, said the platform was designed to overcome barriers to AI adoption
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Medium
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What Is Vector AI Used For?
- Vector AI refers to a class of artificial intelligence that utilize vector representations for various types of data — be it words, images, or even sounds. AI tools can help businesses segment their audiences and deliver hyper-targeted content that speaks to specific needs or preferences.
- One of the most exciting applications of Vector AI is in content creation. With this tool, the AI helps in brainstorming topics, structuring ideas, analyze different writing styles and adapt its suggestions to fit the tone, and edit the document in seconds.
- Vector AI isn’t just about words; it also excels in data visualization. Tools can help you turn uninviting data into compelling visuals that tell a story.
- Vector AI can unveil consumer behavior patterns and market trends that will blow your mind. Data-driven approach can empower your strategies, helping you align your products or services with what your audience genuinely wants.
- Vector AI tools can automate many of these repetitive tasks, allowing you to focus on what truly matters — your creativity and strategic thinking. It’s about strategically directing your energy toward innovation and creativity, which is where real growth happens.
- Vector AI fosters collaboration in a multitude of ways, from sharing insights to co-creating content. With tools like Triplo, you can invite teammates to join your workflow, exchange ideas, and seamlessly integrate feedback into your drafts.
- As handy as Vector AI can be, it’s essential to consider the ethical implications of using these tools. Using AI responsibly means taking the time to understand how data is collected, ensuring transparency, and being mindful of the impact of your creations.
- As we look to the future, it’s clear that the applications of Vector AI will continue to evolve and expand. From transforming content creation to enhancing collaboration, this technology offers a treasure trove of opportunities.
- If you’re just getting started on your Vector AI journey — embrace those feelings and allow them to fuel your exploration. The creative process can be significantly enhanced, making writing, research, and collaboration feel more engaging than ever before.
- With tools like Triplo, your creative process can be significantly enhanced, making writing, research, and collaboration feel more engaging than ever before.
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