menu
techminis

A naukri.com initiative

google-web-stories
Home

>

Data Science News

Data Science News

source image

Analyticsindiamag

2w

read

275

img
dot

Image Credit: Analyticsindiamag

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.

Read Full Article

like

16 Likes

source image

Analyticsindiamag

2w

read

65

img
dot

Image Credit: Analyticsindiamag

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.

Read Full Article

like

Like

source image

Medium

2w

read

348

img
dot

Image Credit: Medium

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.

Read Full Article

like

20 Likes

source image

Analyticsindiamag

2w

read

111

img
dot

Image Credit: Analyticsindiamag

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.

Read Full Article

like

6 Likes

source image

Analyticsindiamag

2w

read

180

img
dot

Image Credit: Analyticsindiamag

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.

Read Full Article

like

10 Likes

source image

VentureBeat

2w

read

142

img
dot

Image Credit: VentureBeat

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.

Read Full Article

like

8 Likes

source image

VentureBeat

2w

read

189

img
dot

Image Credit: VentureBeat

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.

Read Full Article

like

11 Likes

source image

Medium

2w

read

241

img
dot

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.

Read Full Article

like

14 Likes

source image

Medium

2w

read

383

img
dot

Image Credit: Medium

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.

Read Full Article

like

23 Likes

source image

Medium

2w

read

159

img
dot

Image Credit: Medium

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.

Read Full Article

like

9 Likes

source image

Dev

2w

read

241

img
dot

Image Credit: Dev

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.

Read Full Article

like

14 Likes

source image

VentureBeat

2w

read

0

img
dot

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.

Read Full Article

like

Like

source image

Analyticsindiamag

2w

read

168

img
dot

Image Credit: Analyticsindiamag

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.

Read Full Article

like

10 Likes

source image

Analyticsindiamag

2w

read

358

img
dot

Image Credit: Analyticsindiamag

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.

Read Full Article

like

21 Likes

source image

Medium

2w

read

260

img
dot

Image Credit: Medium

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.

Read Full Article

like

15 Likes

For uninterrupted reading, download the app