AI Use Cases discussion

Feb 2, 2017Download as PPTX, PDF1 like368 views

The document discusses various AI use cases, companies utilizing AI, channels for AI assistants, and machine learning toolkits and implementations. It provides examples of AI being used for shopping recommendations, sales analysis, predictive suggestions, 360 degree banking views, self-driving cars, adaptive learning, home automation, crop dusting drones, and detecting fake news. Popular channels mentioned are voice assistants, workplace messaging, and social messaging. Toolkits discussed are Tensorflow, CNTK, MXNet, and PaddlePaddle along with deep learning frameworks like Torch, Caffe, and Keras. Recommended learning resources on the topics are also provided.

AI Use Cases
Charlotte Bots & AI – Feb 1st

News Roundup
• Ycombinator taking applications for News,
Automation/Jobs and Democracy value applications
• Tensorflow self driving car: Donkey, TensorCart, MIT
Class and Google
• Amazon started rolling out Bot Developer Framework
(looks and work as API.ai)
• Automation conversation to follow
• Video surveillance and lip reading

Use Cases
Use case Company
Shopping Recommendation Amazon.com
Sales Analysis SalesForce.com Einstein
Predictive Suggestions LogoJoy.com
360 deg view Bank Of America - Erica
Self Driving All car companies
Adaptive Learning
Door bells, Lights, Bulbs Phillips, Lowes
Crop Dusting Drone companies
Detect Fake News Facebook

Channels
Channel Leader Competition
Voice Amazon Echo Google Home
Office Slack MS Teams
Messaging Facebook Kik

Implementations
ML Toolkits Tensorflow, CNTK, MXNet, PaddlePaddle
Deep Learning Torch, Caffe, Keras
Recommendations
Voice
Natural Language Processing
Text to Speech
Speech to Text
Greedy Algorithms (A/B)

Learning
• Udemy – Lazy Programmer
• Stanford Statistics class
• Deep Learning Resources

This document discusses an app called Time to Fly that helps travelers estimate optimal departure times for the airport by factoring in live traffic data, security wait times, and personal preferences. It describes the problem the app aims to solve, the solution it provides by aggregating multiple data sources, and some of the challenges faced in its development, such as coordinating team work and integrating maps functionality. The document concludes by outlining plans to improve the app with push notifications and seeking questions from the audience.

Live development & toolsbotsplash.com

Modern development platforms have built-in or easy to setup live reload and hot loading capabilities to provide a quick feedback loop that greatly boosts productivity when coding. These tools can be used across web, mobile, and desktop applications for CSS, Node.js, Django, Ruby on Rails, React Native, and Windows to automatically refresh changes in the browser without manually reloading. Linting and type checking tools like ESLint and Flow can be used with editors like Atom to maintain code quality, find bugs, and reduce time spent debugging so more time can be spent building great products.

Career advice for beginner software engineersbotsplash.com

This document provides career advice for beginner software engineers. It discusses finding a job, working on the job, building products, and personal development. The document recommends planning and preparing for a job search, using sites like Indeed and LinkedIn, and taking MOOCs or boot camps. It also discusses different job positions, working as part of an agile organization, building products, and the importance of continuous learning.

HealthTap Bot - VentureBeat - MobileBeat 2016Steijn Pelle

HealthTap is the first healthcare company on Facebook Messenger. Therefore more people in developing countries get instant & free access to health information from more than 100.000 U.S. doctors. This ties into our mission is to help people live healthier, longer, and happier lives. In fact: we aim to create a world where everyone has access to the most cost effective, personalized healthcare.

How AI based Chat bot help in e-governance?Ajay Chhabra

Chat bots can help governments in e-governance by providing a consistent channel of communication with citizens, personalizing services, educating citizens about programs and benefits, and streamlining transactions. Governments currently struggle to reach all citizens and ensure programs are visible and accessible. Chat bots could engage with citizens directly through popular messaging apps, inform them of updates, and help with tasks like payments and document retrieval in a more efficient way than existing bureaucracy. Several governments are already experimenting with chat bots to improve citizen services and experience.

Why Social Media Chat Bots Are the Future of Communication - DeckJan Rezab

Advances in ML learning process require. ppt.pptxAnkitaVerma776806

Machine learning is a field of artificial intelligence that allows systems to learn from data without being explicitly programmed. It uses algorithms to build models from good quality training data and can perform tasks like object recognition, predicting traffic, and filtering emails. Key areas of math like linear algebra, calculus, and statistics are important to understand machine learning problems. While true artificial intelligence has not been achieved, individual machine learning programs have been developed for useful tasks like virtual assistants that can answer questions and manage schedules.

Advances in ML. ppt.pptxAnkitaVerma776806

Machine learning is a field of artificial intelligence that allows systems to learn from data without being explicitly programmed. It uses algorithms to build models from good quality training data and can perform tasks like speech recognition, fraud detection, and product recommendations. Key areas of mathematics like linear algebra, calculus, and statistics are important to understand machine learning problems. While true artificial intelligence has not been achieved, individual machine learning programs have been useful for tasks like virtual assistants that can answer questions and manage schedules.

Chat bot technologies overviewdurga subburaman

Chatbot technologies allow for conversational interfaces using artificial intelligence. Chatbots have evolved from simple script-based assistants to more advanced bots that can understand context, maintain histories of conversations, and collaborate with users. Chatbots work using natural language processing and databases to match user inputs with responses. They are used in messaging platforms, apps, websites, and more to provide information and services with many benefits like 24/7 availability but also challenges like limited capabilities. The future of chatbots includes more personalized and integrated experiences using artificial intelligence and connections to other technologies.

Speech Recognition - Patent LandscapeRelecura Inc.

Speech recognition has applications across many domains including workplace tools, smartphones, automobiles, and customer relationship management systems. The technology is growing rapidly, with the global market expected to reach $16 billion by 2023. Major companies like Microsoft, Google, Apple, Amazon and Baidu are actively investing in and patenting speech recognition innovations to improve natural language processing and voice assistant capabilities. The widespread adoption of voice assistants, voice searches, and other speech-driven technologies will likely continue to drive growth in this market over the coming years.

Artificial Intelligence- Carving the next Era of MarketingKashif Khurshid

FDP Presentation by Vikalp Sharma on Machine Learning and AIVikalp Sharma

This presentation provides an overview of machine learning applications and algorithms. It discusses how machine learning is being used in various domains like social media, e-commerce, online advertising, image processing, and natural language processing. It also introduces tools for machine learning like Weka, RapidMiner, MATLAB, and Amazon Web Services. The presentation emphasizes the importance of data cleaning, algorithm selection, and performance analysis for machine learning projects.

Triangle entrepreneurshipMorris Gelblum

This document provides a comprehensive list of tools and services for entrepreneurs across many categories such as domains, hosting, design, payments, collaboration, social media, and more. It includes recommendations for website platforms, content management systems, email services, payment processing, accounting software, and other tools needed to start and run a business online or through digital means. The list serves as a useful resource for entrepreneurs to evaluate their options when building out the digital infrastructure for a new company.

Salesforce Einstein: Use Cases and Product FeaturesNew Delhi Salesforce Developer Group

Salesforce Einstein: Use Cases and Product Features #ImpactSalesforceSaturday Session by @newdelhisfdcdug Date and Time Saturday, June 29, 2019 11:30 AM – 12:30 pm Location: Online A warm welcome to all the members and Guests in the meetup. Join us for #ImpactSalesforceSaturday a series of online Salesforce Saturday sessions. We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc). Speaker: Jayant Joshi Jayant is a Salesforce Technology Delivery Architect and Manager (Multi-Cloud) working on Large and Mid Size CRM Implementation Projects. Overall, He has around 14 years of CRM delivery experience with 9+ years in Salesforce.com Projects and Opportunities. He is very passionate about emerging technologies and has a deep interest in major innovations around the world. He has 19 Salesforce Certifications and accreditations currently and is passionate about various Salesforce Products including Salesforce Einstein. Agenda a. Introduction b. Salesforce Einstein – Products and Use Cases c. Q & A

Using Information Technology to Turn Your Passion Into Your Careerstevemuench

This document discusses how to use information technology to pursue one's passions as a career. It provides advice on finding your passion, becoming an expert in it, gaining relevant experience, and making career changes happen. It recommends using free online tools to educate yourself and save time. The document also shares the author's personal story of pursuing computer programming and a career in the IT industry since childhood. It outlines different roles in software development and various opportunities available, from large tech companies to startups to internal IT departments. Finally, it discusses skills that employers in the IT field value, such as problem solving and communication abilities.

AI Deep Dive and FOX Case StudyMediaPost

This document summarizes the services offered by The AI Agency, including chatbots, machine learning, image recognition, natural language processing, voice, and customer service capabilities. It provides 4 case studies as examples: 1) AI bots promoting the Resident Evil film franchise, 2) an AI search engine for Cannes Lions, 3) an AI system automating customer service for 1.2 million people, and 4) using AI for product categorization and profiling for Estee Lauder. The document encourages learning more about their machine learning and listening to their AI podcast, and contacting them to discuss projects.

Exploring Opportunities E Week TalkDorai Thodla

What Is Machine Learning? | What Is Machine Learning And How Does It Work? | ...Simplilearn

This presentation on Machine Learning will help you understand what is Machine Learning, Artificial Intelligence vs Machine Learning vs Deep Learning, how does Machine Learning work, types of Machine Learning, Machine Learning pre-requisites and applications of Machine Learning. Machine learning is a core sub-area of artificial intelligence. Machine Learning is a technique which uses statistical methods enabling machines to learn from their past data. it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. While the concept of machine learning has been around for a long time, the ability to apply complex mathematical calculations to big data has been gaining momentum over the last several years. Now, let us get started and understand the concept of Machine Learning in detail. Below topics are explained in this "What is Machine Learning?" presentation: 1. Machine Learning - What is Machine Learning 2. Artificial intelligence vs Machine Learning vs Deep Learning 3. How does Machine Learning work? 4. Types of Machine Learning 5. Machine Learning pre-requisites 6. Applications of Machine Learning Why learn Machine Learning? Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. What skills will you learn from this Machine Learning course? By the end of this Machine Learning course, you will be able to: 1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modelling. 2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project. 3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning. 4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbours, K-means clustering and more. 5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems. We recommend this Machine Learning training course for the following professionals in particular: 1. Developers 2. Information Architects 3. Analytics Professionals 4. Graduates Learn more at https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course

Machine Learning in the AWS CloudMeetupDataScienceRoma

The document provides use cases and solutions for building various machine learning applications using Amazon Web Services. It discusses how to create a speech enabled facial recognition system using Amazon Rekognition and Amazon Polly. It also discusses how to build a chat app with sentiment analysis using Amazon Comprehend, Amazon Lex, and Amazon Translate. Additional use cases discussed include podcast episode discovery and indexing using Amazon Transcribe and Amazon Comprehend, and building a recommendation system using Amazon SageMaker.

Autonomic Marketing: How far are we? (TMLS Micro-summit on Retail and Adverti...Vijay Dakshinamoorthy

In this talk, I explore the question of whether true autonomic marketing possible. To answer this question, I provide an overview of AI applications in advertising and marketing with an emphasis on digital marketing. Specifically, I survey the applications of AI in promotions, advertisements, search, pricing and programmatic marketing. Given the current state, I then explore what might be possible in the future. Towards this, I present some of the trends in AI uncovered by Omnicom Media Group and our point of view on AI applications in advertising and retail. Finally, I conclude with some case studies of applying AI at OMG and lessons learned.

Building Twitter bot using Pythonbotsplash.com

Building a Digital Revenue EngineTriCorps Technologies

PPT1: Introduction to Artificial Intelligence, AI Applications and Advantages...akira-ai

unleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptxUsama Wahab Khan Cloud, Data and AI

The document provides an introduction to generative AI and discusses its capabilities. It outlines the agenda which includes an introduction to AI, the current state of AI, types of AI, popular AI tools, an overview of the Azure OpenAI service, responsible AI, uses and capabilities of generative AI, and a demo. It defines generative AI as AI that can generate new content like text, images, audio or video based on a given input or prompt. The document discusses how generative AI works by learning patterns from large datasets to produce new content that fits within those patterns.

SkillsFuture Festival at NUS 2019- Artificial Intelligence for Everyone - A P...NUS-ISS

AI Chat: FCE JAN 2025. How to use AI for the ministryjapie swanepoel

Enterprise Social: Yammer and SharePointNaomi Moneypenny

Overview of Artificial Intelligence & Machine LearningKaran Shaw

This document provides information about Karan Shaw and his background in artificial intelligence and machine learning. It also summarizes machine learning and some of its applications such as virtual assistants, social media services, email filtering, customer support chatbots, search engines, and product recommendations. Finally, it lists some important natural language processing libraries and references for further learning about AI and machine learning.

Migrating to postgresqlbotsplash.com

This document summarizes a presentation about migrating to PostgreSQL. It discusses PostgreSQL's history and features, including its open source nature, performance, extensibility, and support for JSON, XML, and other data types. It also covers installation, common SQL features, indexing, concurrency control using MVCC, and best practices for optimization. The presentation aims to explain why developers may want to use PostgreSQL as an alternative or complement to other databases.

Bootstrap SaaS startup using Open Source Toolsbotsplash.com

More Related Content

Similar to AI Use Cases discussion (20)

Chat bot technologies overviewdurga subburaman

Speech Recognition - Patent LandscapeRelecura Inc.

Artificial Intelligence- Carving the next Era of MarketingKashif Khurshid

FDP Presentation by Vikalp Sharma on Machine Learning and AIVikalp Sharma

Triangle entrepreneurshipMorris Gelblum

Salesforce Einstein: Use Cases and Product FeaturesNew Delhi Salesforce Developer Group

Using Information Technology to Turn Your Passion Into Your Careerstevemuench

AI Deep Dive and FOX Case StudyMediaPost

Exploring Opportunities E Week TalkDorai Thodla

What Is Machine Learning? | What Is Machine Learning And How Does It Work? | ...Simplilearn

Machine Learning in the AWS CloudMeetupDataScienceRoma

Autonomic Marketing: How far are we? (TMLS Micro-summit on Retail and Adverti...Vijay Dakshinamoorthy

Building Twitter bot using Pythonbotsplash.com

Building a Digital Revenue EngineTriCorps Technologies

PPT1: Introduction to Artificial Intelligence, AI Applications and Advantages...akira-ai

unleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptxUsama Wahab Khan Cloud, Data and AI

SkillsFuture Festival at NUS 2019- Artificial Intelligence for Everyone - A P...NUS-ISS

AI Chat: FCE JAN 2025. How to use AI for the ministryjapie swanepoel

Enterprise Social: Yammer and SharePointNaomi Moneypenny

Overview of Artificial Intelligence & Machine LearningKaran Shaw

Chat bot technologies overviewdurga subburaman

Speech Recognition - Patent LandscapeRelecura Inc.

Artificial Intelligence- Carving the next Era of MarketingKashif Khurshid

FDP Presentation by Vikalp Sharma on Machine Learning and AIVikalp Sharma

Triangle entrepreneurshipMorris Gelblum

Salesforce Einstein: Use Cases and Product FeaturesNew Delhi Salesforce Developer Group

Using Information Technology to Turn Your Passion Into Your Careerstevemuench

AI Deep Dive and FOX Case StudyMediaPost

Exploring Opportunities E Week TalkDorai Thodla

What Is Machine Learning? | What Is Machine Learning And How Does It Work? | ...Simplilearn

Machine Learning in the AWS CloudMeetupDataScienceRoma

Autonomic Marketing: How far are we? (TMLS Micro-summit on Retail and Adverti...Vijay Dakshinamoorthy

Building Twitter bot using Pythonbotsplash.com

Building a Digital Revenue EngineTriCorps Technologies

PPT1: Introduction to Artificial Intelligence, AI Applications and Advantages...akira-ai

unleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptxUsama Wahab Khan Cloud, Data and AI

SkillsFuture Festival at NUS 2019- Artificial Intelligence for Everyone - A P...NUS-ISS

AI Chat: FCE JAN 2025. How to use AI for the ministryjapie swanepoel

Enterprise Social: Yammer and SharePointNaomi Moneypenny

Overview of Artificial Intelligence & Machine LearningKaran Shaw

More from botsplash.com (12)

Migrating to postgresqlbotsplash.com

Bootstrap SaaS startup using Open Source Toolsbotsplash.com

Devops Days, 2019 - Charlottebotsplash.com

- Ramu Pulipati presented on Botsplash's journey to implement continuous integration and delivery (CI/CD) processes. They initially used shell scripts and Ansible but found deployment took too long. They then tried Circle CI but had issues with dynamic IP ranges and SSH key distribution. They moved to using AWS Code Suite (CodeBuild, CodeDeploy, CodePipeline) but found it added complexity and was difficult to evolve. Their lessons were to start simple, set clear goals, and accomplish them incrementally rather than taking on too much at once.

Building NLP solutions for Davidson ML Groupbotsplash.com

This document provides an overview of natural language processing (NLP) and discusses various NLP applications and techniques. It covers the scope of NLP including natural language understanding, generation, and speech recognition/synthesis. Example applications mentioned include chatbots, sentiment analysis, text classification, summarization, and more. Popular Python packages for NLP like NLTK, SpaCy, and Gensim are also highlighted. Techniques like word embeddings, neural networks, and deep learning approaches to NLP are briefly outlined.

Getting started with postgresqlbotsplash.com

This document provides an overview of Postgresql, including its history, capabilities, advantages over other databases, best practices, and references for further learning. Postgresql is an open source relational database management system that has been in development for over 30 years. It offers rich SQL support, high performance, ACID transactions, and extensive extensibility through features like JSON, XML, and programming languages.

Building NLP solutions using Pythonbotsplash.com

Chat interfaces, Extension to Digital Marketingbotsplash.com

Cloud computing optionsbotsplash.com

Data Science meets Digital Marketingbotsplash.com

Visual complexity can both increase and decrease consumer engagement on social media. The researchers analyzed over 630,000 Instagram posts from 633 brands to understand how different dimensions of visual complexity impact engagement, as measured by likes. They found an inverted U-shape relationship between luminance variation/edge density and engagement, suggesting moderate levels maximize it. The number and dissimilarity of concepts positively impacted engagement when interacting, while increased visual clutter decreased it. Overall, the study suggests visual complexity can engage consumers on social media if its different dimensions are properly balanced.

botsplash deep divebotsplash.com

The document discusses live chat versus chat bots and proposes a solution using both. It notes that live chat is time consuming and expensive while bots are a one-time build that are good for repetitive tasks. However, bots have limitations around context switching and understanding. The proposed solution is a chat platform that allows both agents and bots to engage customers across channels, with bots handling automated interactions and intelligence features to help bots understand context and language within a business domain.

Python for data sciencebotsplash.com

Node.js Getting Started &amd Best Practicesbotsplash.com

Migrating to postgresqlbotsplash.com

Bootstrap SaaS startup using Open Source Toolsbotsplash.com

Devops Days, 2019 - Charlottebotsplash.com

Building NLP solutions for Davidson ML Groupbotsplash.com

Getting started with postgresqlbotsplash.com

Building NLP solutions using Pythonbotsplash.com

Chat interfaces, Extension to Digital Marketingbotsplash.com

Cloud computing optionsbotsplash.com

Data Science meets Digital Marketingbotsplash.com

botsplash deep divebotsplash.com

Python for data sciencebotsplash.com

Node.js Getting Started &amd Best Practicesbotsplash.com

Recently uploaded (20)

Greenhouse_Monitoring_Presentation.pptx.hpbmnnxrvb

Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity

This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots. 📕 Here's what you can expect: - Modeling: Build end-to-end processes using BPMN. - Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes. - Operating: Control process instances with rewind, replay, pause, and stop functions. - Monitoring: Use dashboards and embedded analytics for real-time insights into process instances. This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes. 👨‍🏫 Speaker: Andrei Vintila, Principal Product Manager @UiPath This session streamed live on April 29, 2025, 16:00 CET. Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.

The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john

Drupalcamp Finland – Measuring Front-end Energy ConsumptionExove

SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdfPrecisely

UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity

Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts! 📕 Agenda Welcome & Introductions Orchestrator API Overview Exploring the Swagger Interface Test Manager API Highlights Streamlining Automation & Testing with APIs (Demo) Q&A and Open Discussion Perfect for developers, testers, and automation enthusiasts! 👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/ This session streamed live on April 29, 2025, 18:00 CET. Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.

AI and Data Privacy in 2025: Global TrendsInData Labs

In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy. This infographic contains: -AI and data privacy: Key findings -Statistics on AI data privacy in the today’s world -Tips on how to overcome data privacy challenges -Benefits of AI data security investments. Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.

Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan

This is a Quick Research Guide (QRG). QRGs include the following: - A brief, high-level overview of the QRG topic. - A milestone timeline for the QRG topic. - Links to various free online resource materials to provide a deeper dive into the QRG topic. - Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic. QRGs planned for the series: - Artificial Intelligence QRG - Quantum Computing QRG - Big Data Analytics QRG - Spacecraft Guidance, Navigation & Control QRG (coming 2026) - UK Home Computing & The Birth of ARM QRG (coming 2027) Any questions or comments? - Please contact Arthur Morgan at [email protected]. 100% human made.

Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies

tecnologias de las primeras civilizaciones.pdffjgm517

2025-05-Q4-2024-Investor-Presentation.pptxSamuele Fogagnolo

Manifest Pre-Seed Update | A Humanoid OEM Deeptech In Francechb3

ThousandEyes Partner Innovation Updates for May 2025ThousandEyes

Linux Professional Institute LPIC-1 Exam.pdfRHCSA Guru

Into The Box Conference Keynote Day 1 (ITB2025)Ortus Solutions, Corp

Cyber Awareness overview for 2025 month of securityriccardosl1

What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat

The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.

TrsLabs - Fintech Product & Business ConsultingTrs Labs

Hybrid Growth Mandate Model with TrsLabs Strategic Investments, Inorganic Growth, Business Model Pivoting are critical activities that business don't do/change everyday. In cases like this, it may benefit your business to choose a temporary external consultant. An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices. Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company Talk to us & Unlock the competitive advantage

Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma

Build Your Own Copilot & Agents For DevsBrian McKeiver

Greenhouse_Monitoring_Presentation.pptx.hpbmnnxrvb

Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity

The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john

Drupalcamp Finland – Measuring Front-end Energy ConsumptionExove

SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdfPrecisely

UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity

AI and Data Privacy in 2025: Global TrendsInData Labs

Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan

Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies

tecnologias de las primeras civilizaciones.pdffjgm517

2025-05-Q4-2024-Investor-Presentation.pptxSamuele Fogagnolo

Manifest Pre-Seed Update | A Humanoid OEM Deeptech In Francechb3

ThousandEyes Partner Innovation Updates for May 2025ThousandEyes

Linux Professional Institute LPIC-1 Exam.pdfRHCSA Guru

Into The Box Conference Keynote Day 1 (ITB2025)Ortus Solutions, Corp

Cyber Awareness overview for 2025 month of securityriccardosl1

What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat

TrsLabs - Fintech Product & Business ConsultingTrs Labs

Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma

Build Your Own Copilot & Agents For DevsBrian McKeiver

AI Use Cases discussion

1. AI Use Cases Charlotte Bots & AI – Feb 1st

2. News Roundup • Ycombinator taking applications for News, Automation/Jobs and Democracy value applications • Tensorflow self driving car: Donkey, TensorCart, MIT Class and Google • Amazon started rolling out Bot Developer Framework (looks and work as API.ai) • Automation conversation to follow • Video surveillance and lip reading

3. Use Cases Use case Company Shopping Recommendation Amazon.com Sales Analysis SalesForce.com Einstein Predictive Suggestions LogoJoy.com 360 deg view Bank Of America - Erica Self Driving All car companies Adaptive Learning Door bells, Lights, Bulbs Phillips, Lowes Crop Dusting Drone companies Detect Fake News Facebook

4. Channels Channel Leader Competition Voice Amazon Echo Google Home Office Slack MS Teams Messaging Facebook Kik

5. Implementations ML Toolkits Tensorflow, CNTK, MXNet, PaddlePaddle Deep Learning Torch, Caffe, Keras Recommendations Voice Natural Language Processing Text to Speech Speech to Text Greedy Algorithms (A/B)

6. Learning • Udemy – Lazy Programmer • Stanford Statistics class • Deep Learning Resources