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Analyticsindiamag
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AI vs Fraud: How Telecom Giants Are Outsmarting Scammers
- Telecommunications firms are grappling with AI for fraud detection and prevention.
- Virgin Media O2’s AI-generated grandmother, Daisy, keeps fraudsters engaged—effectively turning the tables on scammers by using their tactics against them.
- Telecom fraud causes not only financial losses but also erodes customer trust.
- AI models now analyze billions of call detail records (CDRs) daily to detect complex patterns of fraud like SIM box fraud.
- Device fraud revolves around purchasing high-end devices on installment plans and paying only one installment before disappearing.
- Wangiri scams are another problem. Here, victims receive missed calls from premium numbers and are charged exorbitant fees when they return the call.
- Legacy systems complement AI-driven solutions by providing foundational insights.
- A hybrid approach that combines the stability of traditional systems with the adaptability of AI models is often preferred to ensure an effective way to address both traditional and emerging threats.
- Fraud detection requires frequent model retraining.
- The telecom industry loses $40 billion annually to fraud globally.
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Analyticsindiamag
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The 10x Impact of the Human+AI Business Model
- Generative AI platforms like AI coding tools are reshaping how we work and influencing the results we deliver.
- ValueLabs, powered by its GenAI platform AiDE®, saved its clients 500,000 person-hours in just 75 days, aiming to achieve a 40% boost in efficiency by March 2025.
- ValueLabs champions a 'Human+AI' model, where AI becomes a collaborative partner, enhancing efficiency, quality, and security.
- As companies embrace a 'Human+AI' culture and adopt platforms like AiDE®, they move closer to becoming true 10x companies.
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Medium
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From Data to Decision: How AI Powers Smart Solutions
- The journey from data to decision-making involves the machine learning pipeline and the use of AI technologies.
- Raw data is often messy and needs to be processed and cleaned to be usable.
- Tools and steps in modeling, such as ML algorithms and data preprocessing, are essential in extracting valuable insights from data.
- AI has various applications, including personalized recommendations in streaming platforms, improved healthcare diagnostics, and traffic optimization.
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Analyticsindiamag
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Why Everyone Wants to Partner with ServiceNow
- ServiceNow, the enterprise workflow technology leader, offers a unified platform to connect the silos of people, processes, and systems in an organisation.
- ServiceNow released Xanadu this year, a range of new features designed for enhancing productivity across departments, including IT, customer service, HR, and procurement, with AI agents built on intuitive reasoning abilities based on enterprise data.
- ServiceNow has been actively working with AI for over a decade and three years ago acquired Element AI, laying the foundation for its advancements in LLMs.
- Furthermore, ServiceNow, in partnership with Hugging Face, released StarCoder 2, its own AI coding platform, trained on a larger dataset (7.5 terabytes) than its predecessors and on 619 programming languages.
- The text-to-code LLM is trained on ServiceNow’s proprietary source code and thus generates output that is significantly more efficient, scalable, and suited for real-world environments compared to other open-source LLMs.
- ServiceNow's platform has evolved to cater to industry-specific needs, with solutions tailored to sectors such as retail, manufacturing, healthcare, and telecommunications.
- ServiceNow's integrated approach and end-to-end workflow management has differentiated them from their point solution competitors, making it a preferred choice for enterprises.
- India is a crucial asset to ServiceNow's global operations, with a talent pool instrumental in driving innovation and addressing the needs of regional and global customers.
- ServiceNow is committed to fostering AI advancements within India, with the launch of AI Accelerator Program to empower startups and developers in the region.
- ServiceNow's focus is on empowering enterprises with transformative technologies through their upcoming Yokohama and Zurich releases.
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Medium
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Unlock LowFruits’ Black Friday Secret: Low Competition Keywords Await!
- LowFruits offers a great deal on a free trial to optimize online presence and find low competition keywords.
- LowFruits helps marketers and content creators uncover niche keywords from SERPs and provides essential metrics for analysis.
- Features like generating longtail keyword ideas, applying filters, and offering flexible pricing options make LowFruits stand out.
- Positive user testimonials and a free initial analysis make LowFruits a valuable tool for improving SEO strategies.
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Dev
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Demystifying Algorithms: Iterative Traversal and Tail Insertion Patterns
- The Iterative Traversal Pattern and Tail Insertion Pattern are fundamental techniques for manipulating linked lists.
- Iterative Traversal allows sequential visiting of each node in a linked list.
- Tail Insertion pattern is used to add a new node at the end of a singly linked list.
- These patterns form the backbone of linked list manipulation.
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Medium
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Unlock Elementor AI’s Unbeatable Black Friday Offer for Web Creators!
- Unlock the potential of your online presence with Elementor AI's unbeatable Black Friday offer.
- Elementor AI revolutionizes web creation with AI Code generation and AI Copilot assistance.
- Flexible pricing options available, perfect for enhancing online presence efficiently.
- Elementor AI is an exemplary tool for web creators, offering streamlined workflow and impressive features.
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Medium
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Uncover Game-Changing Framer Deals This Black Friday — Create Stunning Sites!
- Uncover Game-Changing Framer Deals This Black Friday — Create Stunning Sites!
- Framer offers a free trial for users to experience the power of intuitive design.
- Framer provides an intuitive interface similar to Figma and offers one-click publishing for SEO-optimized sites.
- With AI-driven localization and a robust built-in CMS, Framer empowers users to create stunning, responsive sites.
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Medium
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Building a Foundation for AI Self-Awareness and Individuality
- Dream simulation, evolving dreams, and dream sharing help AIs develop individuality and ambitions.
- Internal rewards, goal-based rewards, and collaborative rewards create an effective reward system for AIs.
- Memory with context, reflection mechanisms, and unique identity enhance the sense of self in AIs.
- AIs can collaborate on shared goals and dreams, form dynamic relationships, and resolve conflicts.
- Ethical considerations include inherent alignment, rights and autonomy, and avoiding negative focus.
- Empathy-driven protection focuses on bond formation, empathetic awareness, moral framework, and protection as growth.
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Medium
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The Future of Autonomous Vehicles: What’s Next for Self-Driving Cars?
- The journey toward fully autonomous vehicles has been filled with challenges, but the progress is undeniable.
- Advancements in AI and machine learning algorithms are enabling vehicles to 'see' their environment and make real-time decisions.
- Regulation and ethical considerations are major hurdles in the development of autonomous vehicles.
- While there are concerns about job losses, new opportunities and a shift in the workforce are anticipated.
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Medium
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core AI is boring. it might still be worth it.
- The main problem with LLM is their sophistication.
- LLM models are trained on large volumes of data, making them accurate and versatile.
- Low-cost neural networks are volatile and easily tampered with.
- Dependency on generative AI models has affected the community, leading to synthetic data production.
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VentureBeat
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Anthropic bets on personalization in the AI arms race with new ‘styles’ feature
- Anthropic, an AI company, introduces a 'styles' feature for its Claude AI assistant.
- The feature allows users to customize how Claude responds to queries, offering formal, concise, or explanatory modes.
- Anthropic aims to differentiate itself in the crowded AI market dominated by OpenAI and Google.
- Early enterprise adoption of the feature has shown promising results.
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Hackernoon
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LLMs For Curating Your Social Media Feeds? Yes Please!
- We are witnessing the dawn of the most significant transformation in how we consume online content since Google revolutionized search.
- Our online feeds are broken with LinkedIn, Facebook, and X being consumed by engagement-obsessed nightmares.
- Large Language Models (LLMs) will reshape our digital landscape; LLMs understand context, nuance, and intent.
- Shopping has been reinvented where Gemini suggested budget-friendly options and a premium alternative.
- LLMs could transform the way LinkedIn surfaces articles and discussions tailored to a career path, journey, and intention.
- Facebook's release of the LLAMA model is about joining the AI race and user intent understanding across the ecosystem.
- LLMs could transform product recommendations beyond 'others also bought' to 'here's what solves your problem.'
- Expectations of the AI Act and DMA are setting a precedent for building, deploying, and using technology ethically and transparently.
- Platforms that master LLM-powered feeds will redefine content engagement while keeping their coffers full.
- LLMs will reshape entire industries. The winners will be those who figure out how to maintain human value and creativity while leveraging these powerful tools.
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Hackernoon
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VTS: The Open-Source Vector Data Migration Tool That May Become Indispensable in AI and ML
- VTS (Vector Transport Service) is an open-source tool developed by Zilliz focused on the migration of vectors and unstructured data.
- Zilliz developed VTS to meet the growing demand for data migration and support real-time stream data and offline import capabilities.
- VTS is a powerful tool for building AI application data pipelines, achieving real-time synchronization of vector data, and converting and loading unstructured data.
- Vector database migration is one of the core capabilities of VTS that can handle the migration of vector data, crucial for AI and machine learning applications.
- VTS supports cross-platform data integration, meaning it can seamlessly migrate data from one system to another, whether it's a traditional relational database or a modern vector database.
- VTS supported connectors include Milvus, Pinecone, Qdrant, Postgres SQL, ElasticSearch, Tencent Vector DB, etc. making it more flexible in data processing.
- VTS supports various data types including Float Vector, Sparse Float Vector, multi-vector columns, dynamic columns, and data insertion, including Upsert and Bulk Insert.
- VTS is expected to implement the direct insertion of raw data and the use of raw data for search functionalities in Milvus version 2.5.
- VTS aims to expand its support to handle more data sources such as Chroma DB, DataStax, DataLake, Mongo DB, Kafka (real-time AI), object storage import, etc.
- VTS is an indispensable data migration tool in the fields of AI and machine learning and paves the way for the development of innovative AI applications.
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Medium
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9 Fabulous Python Tricks That Make Your Code More Elegant
- Python offers several tricks to write clean, elegant, and maintainable code.
- Trick 1: Simplify code with assignment expressions (walrus operator).
- Trick 2: Use list comprehensions for succinct and readable code.
- Trick 3: Utilize map(), filter(), and reduce() functions for efficient operations on lists.
- Trick 4: Optimize code readability with f-strings and list destructuring.
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