Is a technology that enables computers and machines to simulate human intelligence and problem solving capabilities.
Artificial intelligence (AI)
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Artificial intelligence (AI)

Artificial intelligence (AI)
What is managed IT services?
Managed IT Services is when you outsource your business’s Information Technology (IT) to a trusted IT company which in turn provides your employees unlimited IT support while proactively and strategically managing your IT infrastructure – all at a fixed price.
Types of Artificial intelligence (AI)
Types of AI Based on Capability
1. Narrow AI (Weak AI)
Definition: AI designed to perform a specific task.
Examples:
Siri / Alexa (voice assistants)
Google Translate
Facial recognition systems
Notes: Most AI in use today falls into this category.
2. General AI (Strong AI)
Definition: AI with human-level intelligence; can understand, learn, and apply knowledge across a wide range of tasks.
Examples: Theoretical only (not yet achieved).
Goal: Mimic human reasoning and decision-making.
3. Super AI
Definition: Hypothetical AI that surpasses human intelligence in all aspects—creativity, wisdom, problem-solving.
Examples: Purely conceptual (seen in sci-fi like Ex Machina or Her).
Concerns: Ethics, control, existential risk.
Types of AI Based on Functionality
1. Reactive Machines
Function: Respond to current inputs with no memory of past experiences.
Examples:
IBM’s Deep Blue (chess-playing computer)
Basic image recognition systems
2. Limited Memory
Function: Can use past data or experiences for a short time to make decisions.
Examples:
Self-driving cars (observing nearby vehicles temporarily)
Chatbots with session memory
3. Theory of Mind (Future AI)
Function: Would understand human emotions, beliefs, and intentions.
Examples: Not yet developed, still theoretical.
Goal: Create machines that understand social cues and emotional intelligence.
4. Self-Aware AI (Advanced Future AI)
Function: AI with consciousness and self-awareness.
Examples: Currently science fiction.
Ethical Debate: Raises deep philosophical and moral questions.
Here are a glimpse of what all required for Artificial intelligence (AI) and Includes in It.
General Includes of Artificial Intelligence (AI)
These are the core components and areas AI systems generally consist of:
1. Data
The foundation of AI—used to train, test, and evaluate models.
Types: Structured (tables), Unstructured (text, images, videos), Semi-structured (JSON, XML).
2. Algorithms & Models
Machine Learning (ML): Teaches systems to learn from data.
Types: Supervised, Unsupervised, Reinforcement Learning.
Deep Learning: A subset of ML using neural networks (e.g., CNNs, RNNs).
Natural Language Processing (NLP): Enables machines to understand and process human language.
Computer Vision: Enables machines to interpret visual data.
Expert Systems: Rule-based systems that mimic human decision-making.
3. Training Process
Feeding data into models and adjusting weights through optimization.
Evaluation via accuracy, precision, recall, etc.
4. Deployment Tools
Platforms and environments to put AI models into real-world use (e.g., mobile apps, cloud APIs, embedded systems).
5. User Interfaces
Dashboards, voice assistants, chatbots, or visual recognition outputs.
6. Integration Layers
APIs, SDKs, or middleware to connect AI with other systems like CRMs, IoT devices, or business software.
General Requirements for Artificial Intelligence (AI)
These are the key needs and prerequisites for developing or adopting AI solutions:
1. Quality Data
Large, relevant, and clean datasets.
Labeled data for supervised learning.
Storage systems (e.g., databases, cloud storage).
2. Computing Power
GPUs/TPUs for deep learning.
Cloud platforms (e.g., AWS, Google Cloud, Azure).
High-performance computing infrastructure.
3. Skilled Talent
Data scientists, AI/ML engineers, researchers, domain experts.
Knowledge of Python, TensorFlow, PyTorch, scikit-learn, etc.
4. Development Tools
Programming languages: Python, R, Java, C++.
Libraries and frameworks: TensorFlow, Keras, PyTorch, OpenCV, spaCy.
Platforms for model training and deployment.
5. Security & Ethics Considerations
Data privacy and compliance (e.g., GDPR).
Bias mitigation and fairness in algorithms.
Interpretability and explainability.
6. Maintenance and Monitoring
Continuous model evaluation and updates.
Real-time feedback and correction mechanisms.
A/B testing and version control.
Optional Enhancements
Edge AI: Running AI locally on devices (IoT, smartphones).
AutoML: Automated machine learning pipelines.
AI Ops: Managing the operational side of AI systems (model drift, logging, etc.).
We needs to understand the requirement in details
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Case studies
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Why "EG Inventors"
We study and Prepare for your success,
we provide truly prominent Artificial intelligence (AI).
The IT services that EG Inventors are running can be segmented by the type of skills employed to deliver the service (design, build, run). Technically, these fall into three main categories: business process services, application services, and infrastructure services.
15Years’ Experience in IT
At EG Inventors - A Unit of( EnquiryGate Network), we specialize in crafting stunning, high-performance applications that drive results. Whether you need a sleek business website, a robust e-commerce platform, or a custom web application, our team of expert developers and designers is here to turn your vision into reality.
A leading IT development company that specializes in delivering innovative software solutions to businesses worldwide. With a team of skilled developers, designers, and project managers, we strive to provide cutting-edge technology solutions that address our clients' unique challenges and help them achieve their business goals.
We combine technical expertise with industry knowledge to deliver customized software solutions that drive efficiency, productivity, and growth for our clients.
Experience: We have a proven track record of successfully delivering software solutions to clients across various industries.
Quality Assurance: We follow rigorous testing and quality control processes to ensure the highest quality of deliverables.
At EG Inventors - A Unit of( EnquiryGate Network), we understand that time is crucial in the digital world. That’s why we are committed to delivering high-quality websites and web solutions on time, every time. Our streamlined development process, agile approach, and expert team ensure that your project is completed within the agreed timeline—without compromising on quality.
Why Choose Us?⏳ Punctual Project Delivery – Strict adherence to deadlines.
⚡ Efficient Workflow – Agile development for faster turnaround.
💡 Seamless Communication – Keeping you updated at every stage.
🔍 Quality Assurance – Delivering flawless, high-performance websites.
🤝 Commitment to Excellence – Your satisfaction is our priority.
With our on-time delivery guarantee, you can launch your website as planned and stay ahead in your industry. Let’s build something great—on schedule and beyond expectations!
At EG Inventors - A Unit of( EnquiryGate Network), we specialize in custom website development that aligns perfectly with your business goals. We don’t believe in one-size-fits-all solutions—our expert developers craft unique, scalable, and high-performing websites tailored specifically for your needs.
Why Choose Our Custom Development Services?🎯 Tailor-Made Solutions – Built from scratch to match your business requirements.
⚙️ Cutting-Edge Technology – Leveraging the latest frameworks for top performance.
📈 Scalable & Future-Ready – Websites that grow with your business.
🔍 Seamless User Experience – Designed for maximum engagement and conversions.
🚀 Optimized for Speed & SEO – Ensuring better rankings and faster load times.
Whether you need a custom software, mobile application, e-commerce platform, a web application, or a dynamic corporate website, we turn your ideas into reality with precision and innovation
At EG Inventors - A Unit of( EnquiryGate Network), specialize in delivering custom-built digital solutions that empower businesses across industries. Our expertise spans a wide range of custom development services, ensuring that your digital platform is tailored precisely to your business goals.
Our Custom Development Product Range✅ Book Publishers Portal– Book Publishers Portal
✅ Cold Storage Software Development– Cold Storage Software Development
✅ ECommerce Development– ECommerce Development
✅ IT Support Services– A proactive monitoring of IT systems as part of a 24/7 help desk service.
✅ Mobile Application Development– Making software for Smartphones (Android & IOS) & Tablets etc.
✅ QR Management / Generation System– QR Management / Generation System
✅ Website Development– Fully Dynamic, Fully Responsive, Fully SEO Inbuilt Website
🎯 Tailor-Made Solutions – Built from scratch to match your business requirements.
Whether you need a bespoke website, a feature-rich mobile app, or an enterprise-grade software solution, we turn your vision into reality with precision and innovation.
We run all kinds of IT services that vow your success
Artificial intelligence (AI)
Frequently asked questions
For secure transactions in your fintech app, you’ll need a combination of encryption, authentication, fraud detection, and compliance frameworks.
1. Encryption & Secure Communication 🔒
a) TLS & SSL (Transport Layer Security & Secure Sockets Layer)
TLS 1.2 / 1.3 ensures secure data transmission between clients and servers.
Prevents MITM (Man-in-the-Middle) attacks and eavesdropping.
b) AES-256 (Advanced Encryption Standard)
Encrypts sensitive data at rest and in transit.
Used for banking and financial transactions worldwide.
c) Tokenization & Hashing
Tokenization replaces sensitive data (like card numbers) with non-sensitive tokens.
SHA-256 hashing secures passwords and transaction details.
2. Authentication & Identity Verification 🆔
a) Multi-Factor Authentication (MFA)
2FA (Two-Factor Authentication) via SMS, email, or authentication apps (Google Authenticator).
Biometric authentication (fingerprint, facial recognition).
b) OAuth 2.0 & OpenID Connect
Secure authentication for third-party integrations.
Used by Google, Facebook, and financial APIs (Plaid, Stripe).
c) Public Key Infrastructure (PKI) & Digital Signatures
Uses asymmetric encryption (RSA, ECC) for secure digital signatures.
Ensures authenticity of transactions and documents.
3. Fraud Detection & Transaction Security 🛡️
a) AI-Based Fraud Detection
Uses machine learning to detect suspicious transactions.
Identifies unusual patterns in spending, location, and device usage.
b) Behavioral Analytics & Device Fingerprinting
Tracks login behavior and flags anomalies.
Prevents account takeover fraud (ATO).
c) Secure Payment Protocols
3D Secure 2.0 (3DS2) – Adds an extra authentication layer for online payments.
EMV (Europay, Mastercard, Visa) chips – Secures card payments.
4. Blockchain & Smart Contracts (For Decentralized Transactions) ⛓️
Decentralized Ledger: Prevents tampering and fraud.
Smart Contracts: Automates and secures financial agreements.
Used in DeFi, remittances, and digital asset trading.
5. Regulatory & Compliance Technologies 📜
PCI DSS Compliance: Ensures secure card payments.
KYC & AML Verification APIs: Uses AI for identity verification (Jumio, Onfido, Plaid).
SOC 2 & GDPR Compliance: Protects user data and privacy.
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