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Data Science News
Analyticsindiamag
1w
523
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LogicFlo AI Secures $2.7 Million in Seed Funding Led by Lightspeed
- LogicFlo AI, an AI platform based in Boston, has secured $2.7 million in seed funding led by Lightspeed, with contributions from healthcare and enterprise AI investors.
- The investment will drive LogicFlo AI's global growth within pharmaceutical, biotech, and medtech organizations, enabling more extensive deployment with a Fortune 500 company already on board.
- LogicFlo AI replaces disjointed tools in regulated scientific work with intelligent AI agents supervised by humans, empowering professionals in various fields to execute high-compliance workflows faster and accurately.
- The company plans to speed up product development, enhance integrations with life sciences systems, and expand its teams to address industry demand, aiming to transform scientific work execution on a broader scale.
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Analyticsindiamag
1w
11k
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HCLTech, OpenAI Partner to Drive Enterprise-Scale AI Adoption
- HCLTech forms a strategic partnership with OpenAI to drive large-scale enterprise AI transformation.
- The collaboration will allow HCLTech's clients to leverage OpenAI's AI product portfolio alongside HCLTech's AI offerings for rapid deployment.
- HCLTech will integrate OpenAI's models and solutions to modernize business processes, enhance experiences, and unlock growth opportunities.
- The company will roll out ChatGPT Enterprise and OpenAI APIs internally and establish a generative AI center of excellence with Microsoft.
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Analyticsindiamag
1w
333
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Puri Stampede: AI Fails Crowd at Management, Yet Again
- AI surveillance in India faces challenges despite enhancements for crowd management.
- AI-powered systems analyze crowd density to prevent stampede-like situations and enhance safety.
- Governments deploy drones and aerial surveillance systems to monitor large events and areas.
- While AI offers benefits, better governance frameworks and data protection are required.
- Main challenges include infrastructure limitations, inconsistent CCTV quality, and issues with facial recognition.
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Analyticsindiamag
1w
281
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Baidu’s ERNIE 4.5 is Built On a ‘Heterogeneous MoE’ Architecture
- Baidu has open-sourced the ERNIE 4.5 models, including language and multimodal AI variants, under the Apache 2.0 license.
- ERNIE-4.5 variants outperform competitors like DeepSeek-V3 671B and Alibaba's Qwen3-30B-A3B on benchmarks.
- The core innovation of ERNIE 4.5 models is the heterogeneous modality Mixture of Experts (MoE) structure for multimodal learning.
- Through extreme optimizations, the largest ERNIE 4.5 model achieved high FLOPs utilization on NVIDIA H800 GPUs using advanced training techniques.
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Analyticsindiamag
1w
75
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Creative Commons Proposes CC Signals for AI-Era Content Sharing
- Creative Commons (CC) has introduced 'CC Signals' as a new initiative to indicate how content can be reused by AI systems, aiming to set norms for the machine learning era.
- CC Signals serve as a preference signalling framework for datasets used in AI model training, emphasizing reciprocity, shared benefit, and openness.
- Unlike traditional licenses, CC Signals combine legal and normative tools, incorporating both machine and human-readable elements to promote ethical data exchange in the AI era.
- The project is in the feedback phase, with an alpha release scheduled for November 2025, inviting community input to shape an open AI ecosystem grounded in reciprocity.
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Analyticsindiamag
1w
16
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Could This Be the Most Important Hire at Any Company?
- Quora's CEO is hiring an AI automation engineer to automate manual tasks.
- The engineer will develop tools to increase employee productivity by identifying automation opportunities.
- Experts view this as the most crucial hire and a game-changer for companies.
- Opinions vary on whether one person should handle this or it should be company-wide.
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Analyticsindiamag
1w
426
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Why Manhattan Associates is Not Developing AI Agents for Its Clients
- AI agents are on the rise in various industries, with many companies already using them.
- Manhattan Associates opts for a different approach with the Manhattan Agent Foundry platform.
- The platform allows clients to create tailored AI agents, promoting customization and interoperability.
- Manhattan's focus is on unification across supply chain operations to enhance customer experience.
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Analyticsindiamag
1w
8
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Accenture and IIT Madras Team Up to Train Talent for Software-Defined Vehicles
- Accenture partners with IIT Madras to train professionals in software-defined vehicles (SDVs).
- Training programs will be offered through Accenture’s LearnVantage Software-Defined Vehicle Academy in collaboration with IIT Madras' Center of Excellence in Advanced Automotive Research (CAAR).
- The initiative aims to bridge the gap between academic research and real-world automotive solutions by focusing on digital skills like AI, machine learning, cybersecurity, and safety systems.
- The partnership targets upskilling professionals in the automotive industry with topics including IoT, embedded systems, vehicle safety, cybersecurity, cloud computing, and industry standards like AUTOSAR and ASPICE.
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Medium
1w
23
Tried Learning Data Science in 30 Days — Here’s What Actually Worked"
- The individual tried learning data science in 30 days through YouTube tutorials and free courses, but found the random approach led to burnout.
- They discovered the importance of following a structured learning path, focusing on Python basics, statistics, data visualization, and simple machine learning.
- Building a mini project analyzing COVID data using pandas and Seaborn helped in understanding concepts better through practical application.
- Key takeaways included daily focused learning, hands-on projects, following one structured roadmap, and tracking progress, emphasizing the need to avoid jumping between multiple courses and obsessing over tools.
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Medium
1w
349
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Privacy in Pieces: How Data Brokers Profit From Your Digital Trail
- Data brokers meticulously collect vast amounts of personal data to create detailed profiles.
- Consumers are largely unaware of the extent of data collection and its potential consequences.
- Regulatory challenges persist as data brokers exploit loopholes in various privacy laws globally.
- Growing consumer awareness drives demand for privacy-focused tools to mitigate data vulnerability.
- Technological advancements empower data brokers to extract valuable insights, creating privacy concerns and regulatory dilemmas.
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Analyticsindiamag
1w
219
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‘PostgreSQL Eats the World, But CockroachDB Digests It’
- CockroachDB CEO discusses shift to distributed SQL databases with PostgreSQL foundation.
- CockroachDB differentiates with horizontal scaling, specifically for AI's demands on consistency & scale.
- Kimball highlights CockroachDB's focus on high-speed AI agents, improving UX, reducing costs.
- CockroachDB's geographic scale strength, cloud-agnostic support, and integration of AI are emphasized.
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Medium
1w
151
Tracing the NLP Revolution: A Decade of Language and Learning
- Key phases in NLP evolution include:
- 1. Early 2010s - Statistical Methods
- 2. Mid 2010s - Deep Learning Era
- 3. 2017 - The Transformer Revolution
- 4. 2020-2025 - Large Language Models (LLMs)
- The need for NLP arises due to its ability to bridge the gap between human language and computer understanding, with real-world applications and various tasks.
- Common approaches to NLP involve Regular Expression, Wordnet, Open Mind Common Sense, Machine Learning-based methods like Navies Bayes, Logistic Regression, SVM, LDA, and Deep Learning-based approaches using architectures like RNN, LSTM, GRU/CNN, Transformer, and Autoencoder.
- NLP faces challenges in transitioning from basic language rules to achieving human-like conversations, leading to the emergence of more intelligent and context-aware systems.
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Hackernoon
1w
12
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The Base Rate Fallacy: Why Your Smartest Model Still Gets It Wrong
- The Base Rate Fallacy is a bias causing humans and machines to misjudge probabilities when underlying probabilities are ignored.
- It occurs when the base rate (overall probability of an event) is overlooked, and focus shifts only to new evidence.
- Psychological factors like the representativeness heuristic contribute to humans falling for this fallacy by replacing hard questions with simpler judgments.
- Bayes' Theorem offers a solution to counter the base rate fallacy by combining base rates with new evidence to update beliefs accurately.
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Hackernoon
1w
320
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A Practical Guide to Machine Learning for Business
- Machine learning is a practical engineering discipline, not magic or complex algorithms.
- Success in ML lies in formulating the right business questions and choosing tools wisely.
- From problem definition to real business results, understanding specific ML subfields is crucial.
- Stages include question alignment, ML task formulation, data quality, model comparison, and deployment.
- Key aspects involve business goal, success metrics, risks, constraints, and transformative ML applications.
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Medium
1w
392
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Data Types Are So Important it is Scary
- Correct data types are crucial to avoid errors and mishaps, especially in financial contexts where a small mistake can lead to significant consequences.
- Understanding how data types work in different programming languages or software is essential to prevent issues such as million-dollar rounding errors.
- Ensuring that strings are appropriately handled as strings and numbers as numbers is vital to maintain data integrity and accuracy in computations.
- Knowing the behaviors of data types in Excel, programming languages, or other software can save time and help maximize the potential use of the data.
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