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Data Science News
Analyticsindiamag
2w
383
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Altman Expects 2030s to be ‘Wildly Different’ From Any Other Decade
- OpenAI CEO Sam Altman predicts a transformative decade in the 2030s driven by AI and automation.
- Altman marks 2025-2027 as milestone years for advancements in cognitive work, insights, and physical tasks.
- He believes that people will be able to create software and art more efficiently with the help of new tools.
- Altman anticipates significant changes in productivity by 2030 and emphasizes the transformative potential of intelligence and energy.
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Medium
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412
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Why Most Business Strategies Sound Smart But Fail
- Many business strategies fail because they are more like wish lists than actual plans.
- The VARS Model breaks down strategy into Value, Arenas, Resources, and Sustainability for a more practical approach.
- Strategies should focus on specific offerings, target markets, available resources, and long-term sustainability rather than generic adjectives.
- It's crucial to have a clear, grounded, and customer-centric strategy that adds real value to succeed in business.
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Analyticsindiamag
2w
34
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Indian IT Expects Another Year of ‘Foot-Dragging’ on Deals
- India’s top IT firms are facing prolonged deal delays and slower ramp-ups due to tight budgets and deferred transformation projects by global clients.
- Despite no major project cancellations, executives from TCS, Infosys, Wipro, HCLTech, and others foresee recovery possibly by late FY26.
- Tariff uncertainties and spending scrutiny have made deal-making cautious with a shift in growth trajectories from acceleration to protection.
- Companies like TCS and Infosys are seeing delays in new initiatives approvals, with a focus on mining existing accounts for stability.
- Wipro highlighted paused transformation programs due to client-side uncertainty, while HCLTech is banking on AI-led transformation for growth.
- Tech Mahindra faced revenue dip due to delayed renewal decisions, and smaller firms like Sonata Software and WNS also saw delays in closures.
- Amid client indecisiveness and foot-dragging, Indian IT firms are navigating a period of low to mid-single-digit growth in FY26.
- Clients are prioritizing cost reduction and assessing risks before focusing on digital transformation and AI, leading to cautious revenue outlooks.
- Budgets have been put on hold rather than vanishing, indicating a delay in tech spend decisions while clients seek cost efficiency.
- Indian IT firms are expected to continue facing challenges in deal closures and growth as clients take longer to make decisions in FY26.
- The demand for digital transformation still exists, but the emphasis has shifted towards cost efficiency and business continuity for Indian IT.
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Analyticsindiamag
2w
348
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Each ChatGPT Query Uses Merely a 15th of a Teaspoon of Water, Says Sam Altman
- OpenAI CEO Sam Altman revealed that a single ChatGPT query consumes approximately 0.34 watt-hours of energy and 0.000085 gallons of water, much lower than previous projections.
- This energy consumption is equivalent to running a high-efficiency lightbulb for a couple of minutes, showcasing the efficiency of ChatGPT.
- A study by A. Shaji George found that ChatGPT consumes 0.5 litres of water during extensive conversations, raising concerns about aggregate water and energy use due to the high traffic on ChatGPT.
- Altman's disclosure comes amidst growing scrutiny of AI's resource usage, with efforts to increase transparency around AI infrastructure to address environmental impacts.
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Analyticsindiamag
2w
363
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OpenAI Launches o3-pro, Delays Open-Weights Model Release
- OpenAI has launched its latest language model, o3-pro, for ChatGPT Pro and Team users, replacing the previous o1-pro.
- OpenAI o3-pro shows stronger performance in key domains, including science, education, programming, data analysis, and writing, compared to o3.
- The model has passed OpenAI's '4/4 reliability' benchmark and is priced at $20 per million tokens for input and $80 per million tokens for output.
- OpenAI has delayed the release of its open-weights model, originally expected in June, due to unexpected developments from the research team.
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Medium
2w
135
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“A Day in the Life of a Mom Learning Data Science: The Honest, Real Journey of Restarting a Tech…
- A mom shares her journey of learning Python, SQL, and Power BI from her kitchen table in between caring for her toddler.
- She emphasizes on the importance of making progress, even if it's in short intervals, and finding motivation in small victories.
- The mom highlights the necessity of showcasing real and imperfect stories of learning tech to inspire others and build a support network.
- She encourages moms and career switchers to keep going, as the effort put into learning tech skills will lead to future opportunities and career freedom.
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VentureBeat
2w
17
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AlphaSense launches its own Deep Research for the web AND your enterprise files — here’s why it matters
- AlphaSense has launched its own 'Deep Research,' an autonomous AI agent that automates complex research workflows across the web, proprietary data sources, and enterprise files.
- The tool aims to generate detailed analytical outputs in a fraction of the time traditional methods require, reducing tasks that once took days or weeks to just minutes.
- AlphaSense uses a multi-model strategy, drawing on Anthropic, Google Gemini, and Meta’s Llama models to deliver high-quality outputs in various research scenarios.
- The tool provides transparency by grounding AI-generated insights in source content, allowing users to trace outputs back to the original document.
- Deep Research includes clickable citations for verification and follow-up, enhancing trust among business users making critical decisions in volatile markets.
- AlphaSense's AI tools aim to support workflows such as generating primers, screening M&A opportunities, and preparing board briefings, offering tailored outputs based on user prompts.
- AlphaSense aggregates over 500 million premium and proprietary documents, including exclusive content like sell-side research and expert call interviews, complemented by clients' internal data integration.
- All data sources in AlphaSense are continuously updated, growing daily with new documents and expert calls to provide up-to-date information for analysis.
- Considering security, AlphaSense ensures enterprise-grade protection with encryption, permissions management, and deployment options including single-tenant and private cloud deployments.
- With the launch of Deep Research, AlphaSense aligns with the enterprise trend toward intelligent automation, aiming to simplify work in data-intensive environments by leveraging AI advancements for strategic clarity at speed and scale.
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Medium
2w
148
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How Do I Buy Bitcoin Anonymously In The UK?
- Zach Olstrom Desk offers OTC services for buying and selling Bitcoin and other cryptocurrencies in voluminous manner, with over 500,000 active miners globally.
- OTC Trading in the crypto and Bitcoin space provides increased privacy for buyers and sellers, making it highly intimate and individual.
- OTC traders maintain a network of investors and sellers, constantly looking for good prices and capable of determining the best time for transactions.
- Buying or selling large amounts of crypto can be challenging, but OTC desks like Principal or Agency desks help in resolving this issue by allowing stress-free transactions of any amount.
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Medium
2w
326
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How I Earned $500 Creating Videos with AI
- Revio, an AI platform, enables easy video production without technical skills and helped the author earn $500 within a week by creating and selling videos.
- Revio simplifies video creation by converting images or short clips into engaging videos, saving time and money for users without the need for expensive equipment or extensive video editing experience.
- The author experienced increased social media engagement and received positive feedback after using Revio to create high-quality videos, leading to exposure for local businesses and additional earning opportunities.
- Revio democratizes access to advanced video technology, allowing users to create professional content that resonates with audiences across various platforms like social media and business presentations.
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Hackernoon
2w
374
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What If Your LLM Is a Graph? Researchers Reimagine the AI Stack
- The global knowledge graph market is projected to reach $6.93 Billion by 2030 from $1.06 Billion in 2024, with a CAGR of 36.6%.
- Market signals indicate a growing adoption of graph technology in various industries.
- Graph landscape is evolving rapidly with new graph database engines, Graph RAG variants, and applications at scale.
- Building and evaluating knowledge graphs as durable assets is emphasized, highlighting the importance of understanding their value.
- Knowledge graphs are considered organizational CapEx, contributing to data governance and AI applications.
- Knowledge graphs power household products like the Samsung Galaxy S25 and ServiceNow through acquisitions.
- Graph technology is crucial for pragmatic AI, providing the essential truth layer for trustworthy AI adoption.
- Various Graph RAG variants like OG-RAG, NodeRAG, and GFM-RAG are emerging, enhancing retrieval-augmented generation for LLMs.
- Graph database engines are evolving, and advancements in standardization and performance are observed in the market.
- New capabilities in graph analytics and visualization are introduced, along with developments in Graph Foundation Models and LLM applications.
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Mit
2w
318
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Inroads to personalized AI trip planning
- Traditional travel planning using large language models (LLMs) faces challenges in logistical and mathematical reasoning, providing viable solutions only 4% of the time.
- A research team from MIT and MIT-IBM Watson AI Lab introduced a new framework combining LLMs with satisfiability solvers for improved trip planning accuracy.
- The team's approach involves translating natural language descriptions of travel plans into problem frameworks solvable by the combined LLM-solver system.
- The framework involves a four-step process that leverages LLMs like GPT-4, algorithms, APIs, and the satisfiability solver to create coherent travel itineraries.
- Testing against baselines, the new technique demonstrated over a 90% success rate in meeting planning constraints, outperforming other methods significantly.
- The framework's potential was further explored in handling new constraints, achieving high success rates in plan adjustments and paraphrasing prompts.
- This innovative approach extends beyond travel planning to various domains like block picking, task allocation, and the traveling salesman problem.
- Funded by the Office of Naval Research and MIT-IBM Watson AI Lab, this work presents a promising solution for personalized and efficient AI trip planning.
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VentureBeat
2w
429
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OpenAI announces 80% price drop for o3, it’s most powerful reasoning model
- OpenAI has announced an 80% price cut for its o3 reasoning large language model, making it more affordable for developers.
- The new pricing of o3 is $2 per million input tokens and $8 per million output tokens, with additional discounts available for cached information.
- This move puts OpenAI in direct pricing competition with models like Gemini 2.5 Pro, Claude Opus 4, and DeepSeek's reasoning suite.
- The price reduction aims to encourage broader experimentation and innovation, making advanced reasoning capabilities more accessible to a wider audience of developers.
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Analyticsindiamag
2w
308
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Glean Raises $150M in Series F Round, Hits $7.2B Valuation
- Glean, an Enterprise AI platform, raised $150 million in its Series F funding round, reaching a valuation of $7.2 billion.
- Wellington Management led the funding round, with participation from new investors Khosla Ventures, Bicycle Capital, Geodesic Capital, and Archerman Capital, alongside existing investors.
- The funding will be used for product innovation, partner ecosystem growth, and international expansion, driven by the company's ambition for accelerated growth.
- Glean's platform focuses on solving the issue of fragmented enterprise knowledge and emphasizes security and data governance, integrating with over 100 SaaS applications.
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Medium
2w
291
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AI Ethics 2025: 10 Principles for Fair & Transparent Development
- Understanding and applying core AI ethics principles is crucial for fair, transparent, and accountable AI development.
- Developers need to follow these principles to avoid unintended harm, bias, discrimination, or privacy invasion.
- The experience of building an AI model that showed bias prompted a commitment to ethical AI development.
- The blog shares 10 key principles to ensure AI benefits all users without hidden dangers.
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VentureBeat
2w
0
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Vanta’s AI agent wants to run your compliance program — and it just might
- Vanta, the San Francisco-based compliance automation startup, has launched an autonomous AI agent designed to handle security and compliance workflows independently.
- The Vanta AI Agent, currently in private beta with a general availability target set for July, marks a shift towards AI acting as a trusted partner in compliance programs.
- It proactively identifies compliance issues, suggests fixes, and undertakes actions on behalf of security teams while ensuring human oversight for final decisions.
- The timing of the launch aligns with heightened security risks and increased time spent on compliance tasks, as per Vanta’s State of Trust report.
- The AI Agent streamlines policy onboarding, automates control mapping, monitors policy-practice inconsistencies, and serves as an intelligent knowledge base for policy queries.
- Early feedback indicates substantial productivity gains, with users reporting time savings and improved accuracy in compliance tasks.
- The Agent's evidence verification capabilities help streamline audit processes, ensuring completeness and accuracy of uploaded documents against audit requirements.
- Vanta's AI Agent launch comes amid the fast-growing compliance automation market, with the company securing significant funding and expanding its customer base globally.
- The solution, designed for human empowerment rather than replacement, integrates complete context about a company's compliance history and risk posture for personalized recommendations.
- Despite its autonomous features, human oversight remains crucial, with the Agent guiding teams through workflows and recommending actions while keeping humans in control of final decisions.
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