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Data Science News
Medium
6d
255
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Why Google Gemini is the Best AI Model Right Now! A Comparison with OpenAI
- Google Gemini 2.5 Pro is a powerful AI model with multimodal capabilities, making it versatile and suitable for real-world applications.
- Gemini supports up to 1 million tokens, enabling it to handle long-form content and complex tasks, giving it an advantage over OpenAI's GPT-4.5.
- Google Gemini 2.5 Pro offers faster response times and lower latency due to its advanced architecture, making it a preferred choice for developers.
- Gemini's competitive pricing and integration with Google's ecosystem make it an attractive option for startups and enterprises, surpassing OpenAI's value proposition.
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Medium
6d
195
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The Executive Guide to Enterprise AI Adoption: Strategies, Approaches, and Best Practices
- This guide presents a strategic framework for business leaders to navigate AI adoption decisions, focusing on two primary implementation approaches.
- Implementation Path: With Microsoft 365 Copilot, organizations connect their business data to the AI platform, train users, and develop governance frameworks, without managing AI models themselves.
- Implementation Path: With Custom AI Development, organizations build or rent AI infrastructure, develop specialized AI expertise, and take responsibility for model development, deployment, and maintenance.
- Success of AI initiatives depends on data foundation, such as ERP, CRM, and other business applications for high-quality, accessible, and comprehensive data.
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Analyticsindiamag
6d
230
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Accops, pi-labs Partner to Combat Facial Authentication in Deepfake Frauds
- Accops and pi-labs.ai have partnered to address deepfake-enabled identity frauds.
- The partnership integrates Accops BioAuth and pi-labs' Authentify engine.
- The collaboration aims to protect against synthetic identity fraud projected to exceed $40 billion by 2027.
- The solution provides real-time deepfake detection to ensure secure authentication for diverse industries.
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VentureBeat
6d
1.6k
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The watchful AI that never sleeps: Hakimo’s $10.5M bet on autonomous security
- AI security startup Hakimo has raised $10.5 million in Series A funding to expand its autonomous security monitoring platform.
- Hakimo's flagship product, AI Operator, combines computer vision and generative AI to detect threats in real-time and execute response protocols with minimal human intervention.
- The company's system integrates with existing security cameras and hardware, providing comprehensive security coverage at a fraction of the cost of traditional guard services.
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Analyticsindiamag
6d
297
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What Sets Genesys Apart from Google Maps?
- Genesys International Corporation offers a next-gen map stack for India with a highly accurate 3D replica and street-level view spanning 1.5 million kilometres.
- Their mapping solution includes a Digital Elevation Model (DEM) with applications in electric vehicle navigation and flood prediction.
- Genesys uses advanced tools like LiDAR-equipped vehicles, drones, and aircraft to capture high-resolution data for mapping.
- AI plays a crucial role in geospatial innovation, utilizing machine learning algorithms to extract insights from vast datasets like street imagery.
- AI-driven mapping provides sustainability analysis and infrastructure insights, aiding in urban planning and city management.
- The new Geospatial Policy in India allows only Indian entities to map and own imagery with sub-one-metre accuracy, ensuring data localization.
- Genesys focuses on sustainability planning and practical applications like solar potential analysis and fiber optic cable deployment.
- Their technology helps telecom infrastructure planning, municipal corporations in urban development, and private sector players in network optimization.
- Genesys stands out by offering highly detailed and precise mapping solutions beneficial for various stakeholders in government and private sectors.
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Analyticsindiamag
6d
297
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This Indian Company is Quietly Building a Map More Powerful Than Google’s
- Genesys International Corporation is developing a map more advanced than Google Maps for India, with features like a highly accurate 3D replica and comprehensive street-level view.
- The company's map includes unique layers like the Digital Elevation Model, beneficial for applications such as electric vehicle navigation and flood prediction.
- Genesys owns a vast collection of sensors and employs advanced data collection tools to capture high-resolution data, enabling precise mapping in a short time.
- The use of AI in geospatial data analysis helps extract valuable insights for sustainability, urban planning, navigation, and infrastructure management.
- AI-driven mapping contributes to sustainability analysis by assessing urban greenery and aiding in infrastructure insights like storefront detection and traffic management.
- Artificial intelligence enhances automobile navigation for safer and more intuitive driving experiences, offering voice-based navigation and precise route suggestions.
- The new Geospatial Policy in India allows only Indian entities to map and own detailed geographic data, ensuring national security and sovereignty over critical assets.
- Genesys focuses on applications like sustainability planning, solar potential analysis, fiber optic cable deployment, and telecom infrastructure planning using its advanced mapping technology.
- The company's data aids municipal corporations in urban planning and infrastructure development, ensuring precision in road networks and infrastructure projects.
- Genesys' ability to analyze, simulate, and optimize environments with high precision makes it valuable for government and private sector stakeholders.
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Analyticsindiamag
6d
309
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Airbnb Uses LLMs to Pull Off an 18-Month Enzyme to RTL Migration in Just 6 Weeks
- Airbnb successfully migrated around 3,500 React component test files from Enzyme to React Testing Library (RTL) in just 6 weeks using LLMs and robust automation.
- The company aimed to modernize React testing practices and move away from Enzyme's deep access to component internals.
- Airbnb's LLM-driven migration involved breaking down the process into automated validation and refactoring steps, leading to the migration of 75% of target files in four hours.
- The company experimented with prompt engineering and a brute-force retry loop to improve migration success, resulting in 97% completion after four days.
- Google also saw success with LLM-driven migrations, achieving a 50% improvement in speed in code transformations like converting unique ID types.
- An AWS study on human-AI partnership in code migrations found that developers view AI as a collaborative teammate but prefer control over the process.
- Developers desire to guide and review the AI based on their expertise, serving as reviewers to ensure accurate changes during the migration process.
- However, there is still a need for human oversight, review, and verification in LLM-driven code migrations to address potential errors and ensure accurate outcomes.
- Airbnb's success with LLMs in code migration showcases the potential for AI-driven solutions in accelerating and improving the efficiency of complex software migration tasks.
- Google and AWS have also demonstrated successful implementations of LLMs in code migrations, highlighting the benefits of combining AI with human expertise.
- While AI-driven migrations offer significant speed and efficiency advantages, developers emphasize the importance of maintaining control and verification throughout the process.
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Analyticsindiamag
6d
30
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Datagrid Solutions Announces Workforce Expansion with 100 New Hires
- Datagrid Solutions plans to expand its workforce by hiring 100 new team members
- The company aims to boost technical and leadership capabilities through this expansion
- Datagrid Solutions intends to hire a chief delivery officer and senior sales manager, along with 10 senior full-stack developers
- The expansion reflects the company's commitment to innovation, excellence, and transformative change in the IT landscape
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1 Like
Medium
6d
161
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TabPFN vs. The Competition
- TabPFN is a game-changer in the AutoML landscape due to its speed and efficiency in small tabular data sets.
- TabPFN's ability to learn causal relationships and adaptability gives it a unique edge.
- TabPFN stands out in the world of AutoML due to its understanding of data and ability to learn from synthetic data for precise predictions.
- TabPFN proves effective in analyzing datasets with outliers and missing values, offering an efficient solution without extensive hyperparameter tuning.
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Analyticsindiamag
6d
256
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Women Who Lead: Winners of Rising 2025 Awards
- AIM recognised women leaders at Rising 2025 for their contributions to innovation and diversity in the Indian tech industry.
- Discussions at the event focused on expanding diversity, fostering innovation through inclusivity, and supporting mental health in tech.
- Chandni Chopra, VP at LambdaTest, implemented bias-free hiring and launched ERGs to amplify diverse voices.
- Deepti Gaiki of Avalara led the India security team and launched programs for promoting women in leadership roles.
- Greeshma Ranjeev of Tata Communications won the Women in STEM scholarship and mentors underprivileged students.
- Itti Singh from Landmark Group leads AI initiatives and advocates for diversity in technology.
- Jaslin Jaison of AidenAI leads AI-driven solutions and mentors women and underrepresented groups.
- Jemima Joy Joseph from ProV International advocates for diversity and implements AI solutions for business growth.
- Kavitha Krishnan, VP at SAP, is a technology leader with multiple patents and a focus on impactful solutions.
- Manjori Ahmed of Colt Technologies drives LGBTQ+ initiatives supporting transgender-owned businesses and inclusion.
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15 Likes
Analyticsindiamag
6d
399
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Databricks and Anthropic Partner to Bring AI Models to Businesses
- Databricks and Anthropic have partnered to integrate AI models into the Databricks data intelligence platform.
- This collaboration aims to enable over 10,000 businesses to build and deploy AI agents using their own data.
- The partnership allows companies to use Anthropic's latest AI model, Claude 3.7 Sonnet, directly within Databricks on cloud platforms like AWS, Azure, and Google Cloud.
- The integration will help businesses analyze large datasets, automate processes, improve decision-making, and focus on responsible AI development.
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23 Likes
Analyticsindiamag
6d
334
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Beware, AI Coding Can Be a Security Nightmare
- AI coding tools are increasingly being utilized by developers, with some relying heavily on them for code generation.
- One quarter of YC founders admit that a significant portion of their codebase is AI-generated.
- While AI-assisted coding can be convenient, it also introduces security concerns, especially in terms of vulnerabilities.
- The integration of AI in coding necessitates a strong understanding of security practices to mitigate risks.
- Users deploying AI tools like Cursor for coding have faced security challenges and attempts at exploitation.
- AI-generated code is highlighted to contain security holes and can be susceptible to hacking attempts.
- Developers are cautioned to assess security implications when utilizing AI coding assistants for production environments.
- The growing trend of 'vibe coding' with AI poses risks such as security vulnerabilities and compliance issues.
- Research reports emphasize the importance of vulnerability assessment in AI-generated code to prevent security flaws.
- Certain features of AI code assistants like Cursor have been flagged for potential security risks, including leaked company secrets and unauthorized access.
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Analyticsindiamag
6d
251
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EY India Launches Customised LLM for BFSI Sector
- EY India has developed a customised LLM for BFSI sector with AI-powered solution.
- The LLM improves answer accuracy, intent recognition and incorporates BFSI-specific vocabulary.
- The model delivers measurable benefits including up to 50% cost savings.
- It can be integrated into various platforms and prioritises security and regulatory compliance.
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Dev
6d
82
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A Step-by-Step Guide to Install DeepSeek-V3-0324 Locally
- DeepSeek-V3-0324 is an advanced open-source language model that outperforms competitors like GPT-4.5 and Claude 3.7 Sonnet, offering enhanced code executability and improved Chinese writing proficiency.
- Installing DeepSeek-V3-0324 locally can be achieved by using selective quantization techniques to reduce its size without compromising accuracy.
- The step-by-step guide includes prerequisites, such as GPU requirements and storage needs, and walks through the installation process using LLaMA.cpp and Unsloth's dynamic quants.
- Setting up a NodeShift account and creating a GPU Node are initial steps for deploying DeepSeek-V3-0324 locally.
- GPU configuration, selecting the image, and choosing an authentication method are vital parts of the installation process.
- Installing and building LLaMA.cpp involves creating a virtual environment, updating Ubuntu package sources, installing dependencies, cloning the repository, compiling build files, and copying executables.
- Downloading model files from Hugging Face using a Python script requires the installation of Hugging Face Python packages and running the model installation script.
- Running the model for inference involves using LLaMA-CLI tool and a prompt to create a Flappy Bird game in Python by specifying various parameters.
- The guide concludes by emphasizing the significance of NodeShift's cloud platform for deploying and scaling models like DeepSeek-V3-0324 effectively.
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Medium
6d
53
Image Credit: Medium
8 Practical Uses of AI for Streamlining Content Creation in Marketing
- AI technologies have evolved to enhance productivity and elevate content quality in marketing.
- AI-driven content generation tools utilize machine learning and natural language generation to produce high-quality and SEO-optimized content faster and efficiently.
- AI in content generation increases productivity by condensing the process, allowing marketers to focus on strategic elements of campaigns.
- AI-powered content personalization delivers tailored and relevant experiences by segmenting audiences, distributing content, and continuously learning and adapting over time.
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