A naukri.com initiative
Data Science News
Medium
4w
418
Image Credit: Medium
Machine Learning vs Deep Learning: Key Differences & Real-World Uses
- Machine learning and deep learning have distinct capabilities and applications.
- Machine learning relies on a structured approach and feature engineering.
- Deep learning is suitable for unlocking insights from unstructured data.
- Choosing between machine learning and deep learning is both technical and philosophical.
Read Full Article
25 Likes
Medium
4w
13
Image Credit: Medium
The Illusion of Choice: How They Control What You See, Think & Believe
- Big Tech, the Government, and Intelligence Agencies collaborate to shape our perception of reality.
- Google controls search results, history, and buries inconvenient truths.
- Meta (Facebook & Instagram) manipulates emotions, pushes agendas, and keeps users consuming.
- Decades of mind control programs have evolved to control perception, behavior, and free will.
Read Full Article
Like
Medium
4w
280
Image Credit: Medium
Exploring Love Spells in the USA and Canada +256774791278
- Love spells are rituals or practices believed to influence romantic feelings or relationships.
- They involve elements such as candles, herbs, crystals, and incantations to attract love or resolve relationship issues.
- Popularity of love spells in the USA and Canada has increased due to online resources and growing acceptance of alternative beliefs.
- Love spells offer a unique way for self-expression, personal growth, and understanding of love.
Read Full Article
16 Likes
Medium
4w
191
The article went on to say that people in the middle are the back-bone of every organization and…
- Equipping people refers to teaching them how to do a job, while development focuses on helping them improve as individuals.
- Equipping includes training in job-specific tasks, while development covers acquiring personal qualities that benefit individuals in various areas of life.
- Developing people involves cultivating discipline, positive attitude, time management skills, and improving people skills.
- Effective leaders should provide both equipping and development opportunities to their team members.
Read Full Article
11 Likes
VentureBeat
4w
253
Image Credit: VentureBeat
OpenAI’s new voice AI model gpt-4o-transcribe lets you add speech to your existing text apps in seconds
- OpenAI introduces new voice models gpt-4o-transcribe, gpt-4o-mini-transcribe, and gpt-4o-mini-tts for text and voice applications.
- These models offer customization options for accents, pitches, tones, and emotions in text prompts.
- The models excel in transcription and speech tasks, showcasing lower word error rates and improved performance in noisy environments across 100+ languages.
- OpenAI's gpt-4o-transcribe family is designed for single or multiple voices inputting as a single channel, with no diarization capabilities.
- Developers can implement the new voice models into apps with only nine lines of code, enabling fluid voice interactions.
- The pricing for the models varies, with gpt-4o-mini-tts offering additional audio output token costs.
- Competition in the AI transcription and speech space is intense, with other firms like ElevenLabs and Hume AI offering similar models with different features and pricing.
- Companies like EliseAI and Decagon have reported improved voice AI performance after integrating OpenAI's models into their platforms.
- Some reactions to OpenAI's new models have been mixed, with concerns raised about a shift away from real-time voice capabilities and an early leak prior to the official announcement.
- OpenAI plans to continue refining its audio models, explore custom voice capabilities, and invest in multimodal AI for dynamic and interactive agent-based experiences.
Read Full Article
15 Likes
Medium
4w
4
Image Credit: Medium
Who is Slowing AI Adoption?
- Fear of change, job loss, and decision-making contribute to the slowdown in AI adoption.
- Lack of understanding about AI's capabilities and impact hinders adoption in many businesses.
- Overloaded IT departments struggle to prioritize AI integration due to existing workload.
- Unrealistic expectations of 100% accuracy hold back the use of AI in decision-making processes.
- Inadequate regulations and unclear guidelines in industries like finance and healthcare create hesitation in adopting AI.
Read Full Article
Like
VentureBeat
4w
218
Image Credit: VentureBeat
Anthropic just gave Claude a superpower: real-time web search. Here’s why it changes everything
- Anthropic announced that its AI assistant Claude now has real-time web search capabilities, bridging the competitive gap with OpenAI's ChatGPT and giving users access to the latest information from the internet.
- With the ability to provide direct citations to sources, Claude aims to combat AI hallucinations and misinformation concerns, marking a critical advancement in the AI assistant market.
- The recent $3.5 billion in Series E funding and strategic partnerships with major companies like Google and Amazon underscore Anthropic's rapid growth and significance in the AI sector.
- The integration of real-time web search enhances Claude's utility for various users, including sales teams, financial analysts, researchers, and shoppers, streamlining workflows and saving time.
- The feature allows Claude to process search results in a conversational format, addressing the limitations of traditional search engines and providing a more seamless user experience.
- Anthropic's focus on technical improvements, such as cache-aware rate limits and prompt caching, showcases its commitment to enhancing developer experience and reducing costs for AI implementations.
- The addition of voice capabilities in Claude's development pipeline indicates a potential shift towards more intuitive user interfaces, making AI assistants accessible to a broader audience.
- Anthropic's emphasis on responsible AI development, evidenced by its support for transparency and regulatory collaboration, distinguishes the company in the AI industry landscape.
- Claude's evolution into a comprehensive digital assistant, equipped with real-time information access and advanced reasoning abilities, signifies a transformative advancement in the AI assistant sector.
- The combination of current data and deep contextual understanding in AI assistants like Claude has the potential to revolutionize knowledge work by automating research, analysis, and content creation tasks.
Read Full Article
13 Likes
Medium
4w
106
Image Credit: Medium
An in Depth Guide to Using a Custom GPT for Algo Trading Strategies
- Large Language Models (LLMs) have revolutionized various industries, including finance, by enabling accurate market analysis and trading strategies.
- EODHD’s custom GPT plugin leverages AI to extract stock data, analyze trends, and develop trading strategies in the financial markets.
- The EODHD GPT integrates historical data, news sentiment analysis, and technical indicators to offer insightful trading recommendations.
- Traders can use EODHD GPT to improve decision-making, automate strategies, and gain a competitive edge in trading.
- The GPT provides Python code for extracting historical stock data and performing analysis like descriptive statistics, trend visualizations, and volatility analysis.
- Different trading strategies, including Golden Cross, ATR trend rider, and hybrid approaches, are generated and tested for performance.
- The ATR trend rider strategy outperformed others, demonstrating a 36% cumulative return by filtering trades based on MA trends and ATR confirmations.
- Comparative analysis shows that the buy-and-hold strategy performed best in a strong bull market, while the hybrid strategy balanced risk management and market participation effectively.
- The custom GPT from EODHD aids traders in developing robust trading strategies without the need for extensive coding knowledge.
- Integrating adaptive risk controls like ATR with trading strategies can help mitigate risks during volatile market conditions and maximize returns.
Read Full Article
6 Likes
Medium
4w
17
Image Credit: Medium
How to Use Multi-Session VWAP to Trade Like an Institution
- Institutions use multi-session VWAPs to track price across different time frames and identify accumulation or distribution of big money.
- The VWAP Horizon Suite upgrades VWAP with multi-session VWAPs, adaptive VWAP bands, and trend confirmation VWAPs.
- Using daily, weekly, and monthly VWAPs, traders can determine the trend, potential fake rally zones, and trade setups.
- By aligning setups with the larger trend and waiting for high-probability entries and confirmations, traders can improve risk-reward in trading.
Read Full Article
1 Like
Medium
4w
360
Image Credit: Medium
Why Image Anonymization is Vital for GDPR Compliance
- Data protection regulations like GDPR have become stricter, requiring businesses to handle personal data, including images, with utmost care to avoid severe penalties.
- Image anonymization plays a vital role in helping businesses comply with GDPR by removing or altering personal identifiers in images to prevent recognition.
- AI-powered anonymization tools offer a fast, scalable, and accurate solution compared to manual editing to protect user privacy while leveraging image data for legitimate purposes.
- GDPR emphasizes data minimization, purpose limitation, and security, requiring businesses to treat images with personal identifiers with the same care as sensitive customer details.
- Failing to comply with GDPR can lead to severe consequences, including fines of up to €20 million or 4% of annual revenue, along with reputational damage and operational disruptions.
- Automated AI-driven image anonymization can detect and obscure personal information in real-time, ensuring compliance with data protection laws across various industries.
- AI-powered anonymization techniques include blurring, pixelation, face/object detection with automated redaction, and synthetic replacement for effective privacy protection.
- Manual anonymization is time-consuming, inconsistent, and error-prone, making it impractical for businesses dealing with large volumes of image data.
- AI-powered image anonymization offers speed, accuracy, scalability, and consistency in processing large datasets, reducing compliance risks and ensuring data security.
- Choosing the right AI-powered anonymization tool involves considering factors like integration, accuracy, processing speed, and compliance with GDPR and other privacy laws.
- By adopting AI-driven image anonymization solutions, businesses can protect user privacy, avoid legal consequences, and maintain consumer trust while ensuring GDPR compliance.
Read Full Article
21 Likes
VentureBeat
4w
151
Image Credit: VentureBeat
Carbon Arc offers a marketplace for buying and selling licensed, real world transaction data to power LLMs and enterprise applications
- Carbon Arc is a startup with $55 million in seed funding that aims to provide a marketplace for buying and selling licensed real world transaction data for AI applications and enterprise models.
- The company's goal is to help businesses consume, trade, and integrate structured intelligence efficiently without the hassles of traditional data acquisition methods.
- It was founded in March 2021 and focuses on transforming unstructured, siloed datasets into AI-ready insights through its proprietary ontology framework.
- Carbon Arc addresses the issue of vast amounts of private data being locked within corporate silos, and aims to make this data available on demand for decision-makers.
- The platform creates a structured market for data, treating it as a financial asset and introducing price discovery, demand discovery, and real-time access.
- Consumption-based pricing is offered, allowing businesses to pay per-megabyte for the insights they use, while a wallet structure is introduced for better spending control.
- The platform is already being used in various industries, offering real-time intelligence, API connectivity, and interactive data visualizations.
- It addresses challenges faced by retailers, enterprise analytics users, software developers, and data scientists by simplifying data handling and offering timely insights.
- By turning data into a tradable asset, Carbon Arc aims to make real-time insights more accessible and cost-effective, potentially reshaping AI, finance, and business intelligence.
- With a focus on redundancy, the company ensures data backup in multiple locations to safeguard against pricing hikes or supply disruptions.
Read Full Article
9 Likes
Medium
4w
151
Image Credit: Medium
You, Too, Can Scale Postgres to 2 PB and 1 T Metrics per Day
- Timescale Cloud database service is now handling a trillion metrics daily and storing nearly two petabytes of data.
- This feat challenges the common belief that Postgres cannot scale effectively.
- The operation runs entirely on Timescale Cloud without special treatment or hidden infrastructure.
- The feature, Insights, provides detailed query analytics for Timescale Cloud users.
- Initially collecting a dozen metrics per query, the database now captures significantly more data points.
- The data volume has grown due to an expanding customer base, increased query loads, and enhanced metrics collection.
- Despite the massive growth in data and queries, the architecture largely remains the same as described in the original post.
- The use of continuous aggregates and tiered storage has helped to efficiently manage and query the vast amount of stored data.
- Timescale's tiered storage, hypertables, and continuous aggregates have enabled efficient scaling and processing of massive workloads.
- Insights has showcased that Postgres, when engineered for scale, can effectively handle immense workloads.
Read Full Article
9 Likes
Medium
4w
329
Image Credit: Medium
Future-Proof Your Drive Security
- Fidelity Height announces the release of Opal Lock version 1.3.2, offering enhanced drive security, compatibility, and performance.
- Opal Lock transitions from WMIC commands to Microsoft's recommended WMI PowerShell cmdlets, resulting in more accurate drive scans, improved storage insights, and better system compatibility.
- The updated lock/unlock drive feature provides improved security, preventing unauthorized access, and streamlined access management for users.
- Integration of modern WMI cmdlets enhances the reliability of setting up external drives, enabling more precise detection of drive models, storage capacity, and device ID.
Read Full Article
19 Likes
Analyticsindiamag
4w
739
Image Credit: Analyticsindiamag
Accenture’s Generative AI booking rise to $1.4 billion in Q2 FY25
- Accenture’s Generative AI bookings totalled $1.4 billion in Q2 FY25.
- The company announced $16.7 billion in revenue for Q2 FY25, experiencing broad-based revenue growth.
- Accenture's strategic focus on reinvention and strong growth in cloud, security, and creative business divisions contributed to its performance.
- The company expects annual revenue to grow between 5% and 7% compared to its prior forecast of 4% to 7%.
Read Full Article
26 Likes
Analyticsindiamag
4w
252
Image Credit: Analyticsindiamag
AI Search Will Define the Next Generation of Business—Here’s Why
- The enterprise search market size is set to reach $12.9 billion by 2031.
- AI-powered search capabilities help organisations enrich and optimise product data catalogues, save manual work, and improve conversion and cross-selling efficiency.
- Advanced search tools provide faster access to data, intuitive searches, and deeper AI-powered insights, boosting productivity and informed decision-making.
- AI-powered search is revolutionising enterprise operations, customer interactions, and knowledge discovery, leading to innovation, growth, and enhanced service.
Read Full Article
14 Likes
For uninterrupted reading, download the app