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Analyticsindiamag
2w
275
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Knolskape Launches AI Academy to Foster AI Fluency in Tech Firms
- Knolskape, a global experiential learning technology company, has launched AI Academy to enhance AI fluency in India’s workforce.
- The AI Academy offers role-specific, simulation-based learning paths catering to individual contributors, mid-level managers, and senior leaders.
- Knolskape's 4E methodology—Evaluate, Educate, Experience, and Enable—drives real-world, hands-on learning through immersive simulations and coaching.
- Aiming to tackle the 'AI fluency crisis', the program focuses on bridging the gap in AI adoption and employee confidence in using AI tools effectively.
- Knolskape collaborated with TCS to train employees, addressing the skills gap with a custom AI-enabled communication simulation tool called Genie.
- The AI Academy covers areas like AI tool usage, human-AI collaboration, ethical leadership, and strategic governance, catering to Indian companies aiming to enhance their AI maturity.
- The program observes strong demand in cities such as Bengaluru, Mumbai, and Delhi NCR due to the rising AI hiring trend.
- Knolskape's instructional design team, comprising industry experts, leverages human insights and AI technology to create customised solutions aligned with industry standards.
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Analyticsindiamag
2w
65
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India’s Toughest Customers and Agentic AI Might Be Zscaler’s Real Moat
- Zscaler's 'Zero Trust Exchange' is vital but agentic AI is gaining importance at their Zenith 2025 summit.
- India has become a key market for Zscaler, growing from 13th to 5th place in sales.
- Indian customers are known for being tough negotiators, driving Zscaler's technical advancements.
- Zscaler is investing heavily in India for development and sales due to the rapid adoption of technology.
- Adam Geller of Zscaler discusses the applications of generative AI in their products and the need to secure customer adoption of such AI.
- Zscaler is using AI to improve data identification internally and build tools that aid users.
- Zscaler processes 500 billion events daily, leveraging AI from predictive to generative AI and distributed AI agents.
- There's a concern over the shift to distributed AI agents, posing new risks with data control.
- Zscaler is an AI-first company with AI embedded in their products, focusing on improving AI capabilities.
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Medium
2w
348
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How People Are Getting Rich Using Veo3 — And Why Animal Vlogs and Glass Cutting Are Leading the Way
- A new wave of everyday people is cashing in big using the video enhancement tool Veo3, earning five and six figures a month.
- Veo3 helps creators edit, optimize, and publish videos on platforms like TikTok, YouTube Shorts, and Instagram Reels.
- It offers various features like auto-generating captions, recommending viral titles and hashtags, syncs trending audio, and A/B thumbnail testing.
- Creators are turning niche content like parrots narrating breakfast routines and glass cutting into profitable ventures.
- Pet vlogs, such as @PiperAndBeans and @TheGoosefather, have seen immense success after using Veo3 for editing and optimizing their content.
- Glass cutting ASMR videos, like those by @ShatteredZen, have also gained popularity with Veo3's features enhancing the visuals and sound effects.
- Veo3 is democratizing content creation by helping turn niche hobbies into professional-grade content that resonates with viewers.
- Viewers are craving authenticity, novelty, and oddly specific satisfaction in the content they consume.
- The creator economy is evolving towards more unconventional and lucrative opportunities with the help of tools like Veo3.
- Veo3 serves as a bridge for many creators to move from obscurity to financial success.
- The trend showcases how individuals can monetize their passions and hobbies with the right tools and approach.
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Analyticsindiamag
2w
111
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We are Entering the Era of Vibe Engineering
- AI is helping soften the edges of code reviews by bringing impartiality and catching obvious mistakes before human reviewers step in.
- New workflow called 'vibe checking' introduces AI tools like CodeRabbit to enhance code quality.
- Vibe coding tools like Lovable or Replit enable non-coders to build apps, but understanding essential coding fundamentals is crucial.
- CodeRabbit acts as a senior engineer to guide and review code, aiming to prevent costly mistakes.
- AI is generating a substantial amount of code, emphasizing the growing importance of developers in utilizing these tools effectively.
- While AI tools are reshaping coding practices, experienced developers still play a vital role in decision-making processes.
- Tools like CodeRabbit enhance team collaboration, offering contextual feedback and promoting code consistency.
- Quality judgment remains essential as excessive automation can lead to 'comment overload' during code reviews.
- Vibe engineering is not a reality yet; real engineering involves system design, reliability, scalability, and maintainability, which AI-generated code currently cannot fully address.
- The future of coding involves a balance between AI assistance and human expertise for effective software engineering.
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Analyticsindiamag
2w
180
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Innovative Zinc-Air Battery Technology Poised to Transform Data Centre Efficiency
- Sthyr Energy closes seed-funding round to develop long-duration energy storage systems for renewable energy applications like seasonal energy storage.
- The technology features mechanically rechargeable zinc-air batteries, offering safety, scalability, and cost-efficiency.
- Sthyr Energy addresses battery performance challenges with a gas-deficient electrode involving oxygen for improved lifespan.
- The company is scaling up its batteries with a 3.2 kWh module and building an AI-driven battery management system.
- Sthyr Energy uses AI and machine learning for battery lifecycle management and efficiency optimization.
- Artificial intelligence algorithms evaluate real-time data to enhance battery charging and discharging cycles.
- AI assists in designing efficient energy storage systems for different environmental challenges and regions.
- Long-duration energy storage impacts data centers by offering efficient power backup options with zinc-air battery systems.
- AI integration into battery systems improves data center efficiency through better energy management and insights.
- Data centers can enhance performance and energy efficiency by incorporating renewable energy and AI-based cooling system optimization.
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VentureBeat
2w
142
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Stanford’s ChatEHR allows clinicians to query patient medical records using natural language, without compromising patient data
- Stanford Health Care developed ChatEHR for clinicians to query patient records using natural language, enhancing speed and efficiency.
- ChatEHR streamlines chart reviews, patient transfer summaries, and data synthesis from medical histories, reducing physician burnout and improving patient care.
- Early pilot results show a 40% reduction in chart review time for emergency physicians during critical handoffs.
- The tool leverages large language model technologies to drive digital transformation in healthcare.
- The focus is on reducing administrative tasks for physicians and staff, allowing more time for important patient care.
- AI in ChatEHR helps draft patient responses, reducing cognitive burnout and improving communication efficacy.
- Implementation of agents in ChatEHR assists in generating summaries, timelines, and recommendations for multidisciplinary patient care.
- Stanford incorporates a mix of private, secure, and open-source AI models to optimize its healthcare technology solutions.
- The multidisciplinary team at Stanford ensures a comprehensive approach to AI development and integration in healthcare services.
- AI is seen as an essential tool for all teams to understand and utilize to drive innovation and problem-solving in healthcare.
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VentureBeat
2w
189
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Windsurf CEO Varun Mohan throws cold water on 1-person, billion-dollar startup idea at VB Transform: ‘more people allow you to grow faster’
- Windsurf's rapid growth showcases the adoption of AI-powered tools in enterprise software.
- CEO Varun Mohan shared insights at VentureBeat Transform 2025 on Windsurf surpassing a million developers.
- The platform writes over half of the code committed by its users, emphasizing agentic tooling at scale.
- Windsurf's IDE features a 'mind-meld' loop for collaborative coding between humans and AI.
- The platform emphasizes coding assistance beyond code generation to include debugging and testing.
- Security is a core focus, with a hybrid model for enterprise deployments to ensure data privacy.
- Windsurf's emphasis on built-in security has made it a viable option for regulated industries like finance.
- The company organizes into lean squads to iterate quickly and test product hypotheses in parallel.
- Windsurf's platform prioritizes relevance and personalization over faster token generation or smaller models.
- The company plans to remain adaptable as AI models evolve and is working on an open protocol for integration.
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Medium
2w
241
What Is Motivation?
- Motivation is essential for staying focused, energized, and persistent in pursuing goals in the face of distractions and challenges.
- Action often precedes motivation, creating a loop of action, motivation, and further action, rather than waiting to feel motivated.
- Motivation differs from inspiration in that it involves practical decision-making and effort towards achieving goals.
- Loss of motivation can lead to procrastination, self-doubt, and inaction, often due to misconceptions about its permanence.
- Motivation can be cultivated as a skill through understanding neurochemical processes, setting specific goals, and building supportive habits.
- Intrinsic and extrinsic motivations play distinct roles, with intrinsic motivation stemming from internal enjoyment and extrinsic from external rewards.
- Setting clear, meaningful goals and aligning actions with personal identity are crucial for maintaining motivation and consistency.
- Habits, routines, and emotional connections to goals can help sustain motivation by reducing reliance on willpower.
- Understanding motivation types like achievement, affiliation, and competence can aid in creating personalized strategies for staying motivated.
- Identifying causes of motivation loss, such as vague goals and burnout, allows for targeted solutions to reignite motivation.
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Medium
2w
383
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10 Pythonic Tips I Wish I Knew Sooner as a Data Scientist
- The author shares 10 Pythonic tips for data scientists to write more elegant, readable, and faster code.
- Initially, the author's code was verbose and clunky with for loops and temporary variables.
- After learning the Pythonic way, the author found a better approach to coding.
- The tips include real-world DataFrame examples and explanations of why they are important.
- The tips helped the author become faster and more confident in their work.
- The examples are based on a simple DataFrame resembling e-commerce or customer analytics data.
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Medium
2w
159
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The Million-Dollar Movie Marathon: How Netflix Turned Recommendation Into Competition
- In 2006, Netflix launched a competition offering one million dollars to improve their movie recommendation algorithm by 10%.
- The aim was to predict what viewers wanted to watch before they knew it themselves.
- Netflix's existing recommendation system, Cinematch, was decent but not groundbreaking.
- The competition aimed to enhance the accuracy of movie suggestions beyond basic correlations.
- The winning team had to develop an algorithm that surpassed Cinematch's capabilities by 10%.
- The dataset provided for the competition was anonymized user ratings of movies.
- Contestants worked to innovate predictive models to improve recommendations.
- The Netflix Prize attracted global participants, including data scientists, engineers, and academics.
- Teams collaborated to harness the power of machine learning and data analysis.
- This competition marked a shift towards personalization in the entertainment industry.
- The ultimate goal was to provide viewers with tailored recommendations based on their preferences.
- The success of the Netflix Prize demonstrated the power of competitions in driving innovation.
- The story showcases how Netflix leveraged competition to enhance user experience in content consumption.
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Dev
2w
241
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How to Install and Run Mistral Small 3.2 24B
- Mistral Small 3.2 24B update brings modern features making it a polished model for developers and enterprises.
- Improvements include better instruction following, cleaner outputs, and reduced infinite loops.
- Performance has more than doubled, handling tasks like code generation, STEM reasoning, function calling, and vision with precision.
- Minimum system requirements include GPU (1x A100 or 1x H100), 100GB storage, and 80GB VRAM, with Anaconda installed.
- Installation involves setting up a NodeShift account, creating a GPU node, selecting configurations and authentication methods, choosing an image, and connecting via SSH.
- Creating a virtual environment using Anaconda, installing necessary dependencies, logging into Hugging Face CLI, and setting up jupyter notebook are part of the process.
- To run the model, download the checkpoints, specify sampling parameters, initialize the model, and perform inference.
- Mistral Small 3.2 24B excels in instruction accuracy, reduced repetition, and multi-modal performance across code, reasoning, and vision tasks.
- The tutorial guides users on deploying Mistral Small 3.2 24B locally or on the cloud, emphasizing NodeShift Cloud for easy setup.
- NodeShift Cloud offers a hassle-free GPU-ready environment for deploying powerful models like Mistral, allowing focus on building and testing.
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VentureBeat
2w
0
Emergence AI’s CRAFT arrives to make it easy for enterprises to automate their entire data pipeline
- Emergence AI's new platform, CRAFT, automates enterprise data pipelines, allowing users to organize and retrieve data with AI agents.
- CRAFT enables business users to create intelligent agent systems using plain English, integrating with various AI models and frameworks.
- The platform replaces developer-intensive workflows with self-governing agents that can build, test, and run data workflows.
- It is designed to handle tasks like writing ETLs, cleaning datasets, and tool integration in minutes, going beyond traditional RPA.
- CRAFT is suited for data-heavy environments requiring real-time orchestration without engineering bottlenecks.
- It is already in use across industries like semiconductors, oil and gas, healthcare, and financial services.
- Through a partnership with Emergence AI, Andela is training engineers to work with agentic systems.
- The platform offers deployment flexibility and compliance controls, with a focus on democratizing the development of intelligent systems.
- CRAFT represents a step towards making AI accessible to business users without deep technical expertise.
- Emergence AI aims to lead the evolution of enterprise AI by creating platforms that can autonomously perform tasks and scale.
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Analyticsindiamag
2w
168
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ElevenLabs Powers Voice for Cisco’s Webex AI Agent, Transforming Customer Support
- ElevenLabs partners with Cisco to provide voice technology for the Webex AI Agent, enhancing customer support in enterprises.
- The collaboration focuses on integrating ElevenLabs’ expressive voice technology with Cisco’s Webex AI Agent to create a more engaging customer experience.
- Mati Staniszewski, CEO of ElevenLabs, emphasizes the importance of natural and expressive voices in AI agents to keep customers engaged.
- The Webex AI Agent uses advanced AI to understand customer needs, remember history, and adapt to preferences.
- Integration of ElevenLabs' voice technology allows the AI agent to respond to emotional cues and adapt its tone accordingly.
- Jay Patel from Cisco highlights the role of voice in humanizing interactions, bringing nuance and clarity with ElevenLabs' text-to-speech technology.
- Cisco's research identifies frustrations like repetitive explanations, inadequate chatbots, and long hold times.
- The collaboration aims to improve customer service by providing a more natural and dynamic AI experience.
- ElevenLabs’ technology, combined with Cisco’s systems, enables seamless integration with critical backend platforms.
- Cisco's focus is on delivering natural, responsive, and scalable AI-powered customer experiences.
- The partnership between ElevenLabs and Cisco aims to transform customer support using voice technology.
- The collaboration addresses frustrations like repetitive explanations, inadequate chatbots, and long hold times in customer service.
- Cisco's Webex AI Agent aims to provide human-like interactions through advanced AI.
- ElevenLabs' voice technology enhances the AI agent's ability to adapt its tone based on emotional cues.
- The integration of ElevenLabs' technology with Cisco's systems allows seamless interaction with backend platforms like CRM and ERP.
- Cisco and ElevenLabs focus on creating engaging and meaningful customer interactions through voice technology.
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Analyticsindiamag
2w
358
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Google Rolls Out AI Mode in India for Complex Search Queries
- Google introduces its experimental AI Mode in India on its Labs platform for asking complex, multi-part questions in Search.
- The AI Mode in India extends from a previous trial in the U.S. and incorporates Google's advanced AI capabilities into its search infrastructure.
- The feature uses a custom version of Gemini 2.5 to enable users to ask longer, layered questions, with testers already submitting queries that are two to three times longer than usual.
- Users can ask follow-up questions and access related web content within the AI Mode search experience.
- AI Mode employs advanced reasoning and multimodality to allow users to delve into topics more deeply, including through voice and image inputs.
- The tool dissects queries into subtopics and conducts multiple searches simultaneously, aiding in retrieving more precise information from the web.
- For instance, a user can upload a photo of a plant and ask about its care, to which AI Mode can identify the plant, providing detailed care instructions and relevant web links.
- AI Mode aligns with the increasing interest in AI-powered searches, with features like AI Overviews being used by over 1.5 billion users monthly, leading to over a 10% rise in specific query types in the U.S. and India where AI Overviews are active.
- Users in India, a significant market for Google Lens, can now utilize AI Mode to search via voice, images, or text for enhanced convenience.
- The integration of AI Mode blends AI-provided responses with Google's ranking systems; uncertain responses default to standard web results.
- Google acknowledges that initial AI products might not be perfect, aiming to refine AI Mode through user feedback while launched in Labs.
- This feature is presently accessible in English and requires users in India to sign up on Google Labs to utilize it.
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Medium
2w
260
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Difference Between Artificial Intelligence and Machine Learning
- Artificial Intelligence (AI) is a branch of computer science that aims to create intelligent machines capable of performing tasks requiring human intelligence.
- AI systems simulate human intelligence and can be rule-based or data-driven.
- Examples of AI include voice assistants like Siri, self-driving cars, and chatbots.
- Machine Learning (ML) is a subfield of AI that focuses on developing algorithms allowing computers to learn from data and make predictions without explicit programming.
- Key characteristics of ML include learning from historical data, improving accuracy over time, and requiring large datasets for training.
- Examples of ML include email spam filters, movie recommendations on Netflix, and product recommendations on Amazon.
- Real-life examples of AI vs. ML include a robot vacuum planning its cleaning path (AI) and predicting prices of used cars based on data (ML).
- Differences between AI and ML include the approach to problem-solving and the focus on learning from data.
- Understanding the distinctions between AI and ML is crucial for further advancements and application development in modern computing.
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