AI
Artificial intelligence (AI): The way of Creating, Living & Working..now & future.
<under development by Mekala V Reddy>
AI is not magic :) it's just mathematics. The ideas behind thinking machines and the possibility to mimic human behavior are done with the help of mathematical concepts.
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| Maths - Computer Science -AI view |
- (Or) Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.
- Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
- No single programming language is synonymous with AI, but Python, R, Java, C++ and Julia have features popular with AI developers.
Machine learning enables software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. (ML is sub-field of AI, uses foundations of Calculus: Differential calculus & Integral Calculus)
Deep learning, a subset of machine learning, is based on our understanding of how the brain is structured. Deep learning's use of artificial neural network structure is the underpinning of recent advances in AI
Generative AI (Gen AI): Interprets & creates content with simulated human intelligence, incl. Text, Images, to augment work. (for more, watch it)
Automated AI: AI tools/techniques like ML/NLP, augments your work by actioning AI use cases across systems & Deep Learning techniques
Intelligent Automation (IA): Robotic process Automation (RPA) with AI and Business Process Management (BPM) is called IA. In summary:
- RPA: Performs Repetitive Tasks, ex: Robots in the industry
- AI: Mimics Human Thinking
- BPM: Automates workflows
- IA: Combines RPA, AI & BPM.
Automate Responsibly: Quality Model, Human-in-the-Loop, Continuous Monitor, Establish Parameters and AI Governance
AI Chat: This tool allows you to create text, whether it’s stories, messages, or even programming code.
OpenAI: OpenAI is a non-profit organisation that aims to ensure that artificial general intelligence (AGI) benefits all of humanity.
AI Automation Benefits:
- Team productivity: Efficient..scalable..24x7
- Customer Experience: .. Higher Quality, Reliable, Consistent Outputs
- Scalability & Integration: By implementing good data, your Gen AI can grow your Operations at speed while maintaining Security & Compliance.
- Decision-Making: is easy & accurate..
- Digital Transformation: Gen AI enables non-Tech developers to quickly create automation's..
How AI Automation software works ?
- many AI software's support
- Foundation Models: Pre-trained models, like Generative Pre-Train Transformer (GPT-3)
- Cloud Services...allows to work with high Security, Availability & Governance.
AI Uses:
- HealthCare: with historical data. Disease Detection, Robotic Surgeries, New Drugs..
- Finance: Assess Risk, Prevent Fraud...
- Manufacturing: Automate, optimise Supply Chain, Predictive Maintenance
- Retail: better Customer Support, Operations Efficiency, (Addepto tool), Dynamic Pricing (like Uber)
- Marketing & Advertising: Better & quick Ads (Chat GPT tool)
Future of AI
- Job Elimination (Manual & Redundant tasks)
- Job Transformation: regular/common jobs to new job roles..
- Small Business Growth:
AI Top Players: MicroSoft, Google, IBM, NVIDIA, OpenAI, BrainAI, Amazon, Alphabet, Apple..
Bit Tech Bets on AI: (Mar '24)
- Open AI - $13 Bn (Micro Soft +)
- Anthropic - $7.25 Bn (Salesforce, Google & Amazon)
- DataBricks - $4.18 Bn (Nvidia, Microsoft, Salesforce, Google, Amazon)
- InflectionAI - $1.53 Bn (Nvidia & Microsoft)
- Mistral - $0.53 Bn (Salesforce)
- Cohere - $0.445 Bn (Nvidia & Salesforce)
- Adept - $0.415 Bn (Nvidia, Microsoft)
- Others are: HuggingFace ($0.4 Bn), Runway, Imbue
Popular AI Applications:
- Llama 2, A state-of-the-art large language model for coding
- Gemini, Gen AI ChatBot
- Watson AI: Gen AI answering Bot
- GPU's, Gen AI based Graphical Process Unit's from NVIDIA
- ChatGPT ai to engaging conversations, gain insights, automate tasks, and witness the future of AI
- ELSA Speak helps users perfect their English speaking skills.
- Lensa: Generate artistic edits and iterations of selfies that users provide
- Alexa, Siri
- FaceApp: Creative with selfie editing, FaceTune: Quick edits on their photos and videos
- MS Bing - is a search engine owned and operated by Microsoft.
- StarryAI: AI art generator which transform a simple text prompt into an image
- Youper - mental health-focused AI chatbot, which converses with users
- Replica feels like talking to a human being
- SeeingAI uses the device camera to identify people and objects, and then the app audibly describes those objects for people with visual impairment.
- Speechify - Text To Speech App
- Writecream - is an all-in-one platform to generate text, audio, and images
AI Learning Road Map:
- Build a strong foundation:
- Math and Programming: Brush up on your math skills, especially calculus, linear algebra, statistics, and probability. These are crucial for understanding AI algorithms.
- Computer Science: Having a grasp of computer science concepts like data structures, algorithms, and complexity analysis will benefit you in the long run. And programming language like Python, widely used in AI.
- Dive into AI concepts:
- Machine Learning: Core area of AI, focusing on algorithms that learn from data. Start with supervised learning concepts, then progress to unsupervised and reinforcement learning.
- Deep Learning: If you're interested in complex tasks like image recognition or natural language processing, delve into deep learning, a subfield using artificial neural networks.
- Get hands-on with projects:
- Practice makes perfect! Don't just learn theory. Find beginner-friendly AI projects on platforms like Kaggle or GitHub.
- Contribute to open-source projects: This is a fantastic way to learn from experienced developers, gain practical experience, and build your portfolio.
- Stay updated and connected:
- The field of AI is constantly evolving. Follow AI blogs, research papers, and attend conferences to stay informed about the latest advancements.
- Connect with other AI enthusiasts: Join online communities, forums, or attend meetups to discuss ideas, share projects, and learn from each other.
- Additional Tips:
- Set realistic goals and expectations. Learning AI takes time and effort.
- Find a mentor or join a study group.
- Focus on what interests you. There are many applications/area's of AI.
Remember, the key is to be consistent, stay curious, and keep learning!
nasscom started 30+ years back (1988) with key initiatives: Policy - Global Trade - Skills in mind..
- n.partners: INDIAai - n.startups - Future Skills Prime - CoE IoT & ai.
- Industry development initiatives: Deep Tech - BPM - GCC - ER&D - SME Connect - Regional Councils
nasscom AI is the voice of the AI ecosystem in India, who enable the creations, development & sustainability of a vibrant and innovative AI ecosystem in India.
- Vision: Make India the worlds leading AI innovative hub.
- Mission: Trustworthy AI adoption at scale while shaping the future of AI across the country for a better World.
nasscom responsible AI hub: Advancing safe & Trustworthy AI future for All..
nasscom Responsible AI Resource Kit - an openly accessible collection of self-regulation guidance and tools to help businesses with the adoption of responsible AI practices.
- Actors (Stakeholders: AI Enterprises & Start-ups, Govt Dept's (Central & State), Academia & Research Institutions, Intl Development agencies.
- Working group: Deloitte, IBM, TCS, MicroSoft & Fractal
Players who incorporated GenAI led services are:
- IBM with Watsonx.ai
- Cognizant with Neuro, a AI platform
- Infosys with Topaz, AI Services, MasterCraft s/w for code generation
- CoForge: Quasar, cognitive AI platform
- TCS: working with Google cloud to launch "TCS Gen AI" for business solutions
- TechMahendra: Gen AI studio is part of it's amplifAI
- CapGemini: partnered with Google cloud & launched Gen AI CoE to develop 500+industry use cases..
IBM's Data&AI:
- Data&AI: To optimize your data strategy to support data-driven decisions
- AI, AI Ethics, Customer Experience
- Data Fabric: Automate data discovery, Governance & consumption
- Data Lake: Analyse structured, semi-structured & unstructured data
- Data management: Consistent data access & delivery across correct data flows
- Data Quality: Robust tools help identify, understand and correct data flows
- Data Science: Operationalize data science models on any cloud..
- Data warehouse: A flexible foundation optimized for data from disparate sources
- DataOps: Develop a coordinated overview of the data acquisition journey
- Master Data Management: A trusted, 360-degree view of master data across enterprise
- Prescriptive Analytics: Use optimization technology to solve complex decisions..
- https://www.techtarget.com/searchenterpriseai/definition/AI-Artificial-Intelligence
- https://www.upwork.com/resources/ai-automation
- nasscomAI:
- https://nasscom.in/ai/
- https://nasscom.in/ai/ai-for-business/
- Generative AI by Mike Wooldridge
SME Connect: (I, Mekala Reddy, know)
- Sreekanth Iyer, Madhusoodanan Madhavan and Prasad Chitta
Def's or Notations:
- LLM=Innovation, Large Language Models (LLMs), is a statistical language model
- LAM= Large Action Models (LAMs)
- Generative AI (Gen AI)
- OpenAI= OpenAI is a U.S. based artificial intelligence (AI) research organization researching artificial intelligence with the goal of developing "safe and beneficial" artificial general intelligence..
- Gemini=Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, and Gemini Nano, (vs. GPT-4) , Gemini is Your creative AI collaborator.
- ChatGPT= Chat Generative Pre-trained Transformer using LLM models by OpenAI.
- GPT-4= Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models.
- BharatGPT - Jio & IIT-B developed & plan to release in Mar '24. 1st human centric conversation AI platform, using Gen AI/LLM's on CoRover.ai. - https://corover.ai/bharatgpt/
- GPU= H/w for the heavy (super fast, multi-process) work of AI systems are Graphical Processing Units (GPUs)
- AI Model is a program that has been trained on a set of data to recognize certain patterns or make certain decisions without further human intervention.
- Google DeepMind =AI Model
- IBM NeMo = Networked Environment for Media. Orchestration (NeMo) is a policy managed, peer-to-peer, service orchestration framework
- Hugging Face= AI community building for future - who develop Models, DataSets & Applications
- RPA = Robotic Process Automation
- BPM= Business Process Management
- ER&D= Engineering Research & Development
- LaMDA="London Academy of Music and Dramatic Art" is a family of conversational large language models developed by Google.
- GCC = Global Capability Centers - 1000+ GCC's in India with $2.5 Bn Rev, 745 k employee's; 14% of GCC's have > 1000 emp's.
- TCO = Total Cost Ownership (TCO) is an estimation of the expenses associated with purchasing, deploying, using and retiring a product or piece of equipment.
- CAGR = Compound Annual Growth Rate , to measure growth vs previous year
- Unicorn = a privately held startup company with a value of over $1 billion.
- SMB's = Small And Midsize Business (SMB) < 100 emp's
- FinTech's = Financial technology, appl's working on Financial sector
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