This document provides an overview of the generative AI startup ecosystem in India. It discusses key statistics such as there being over 70 native generative AI startups in India that have raised $440 million total. The top segment for Indian generative AI startups is code and data, with over 20 startups in that space. The document also provides a list of 30 active generative AI startups in India with details about each.
AI and ML Series - Introduction to Generative AI and LLMs - Session 1DianaGray10
Session 1
👉This first session will cover an introduction to Generative AI & harnessing the power of large language models. The following topics will be discussed:
Introduction to Generative AI & harnessing the power of large language models.
What’s generative AI & what’s LLM.
How are we using it in our document understanding & communication mining models?
How to develop a trustworthy and unbiased AI model using LLM & GenAI.
Personal Intelligent Assistant
Speakers:
📌George Roth - AI Evangelist at UiPath
📌Sharon Palawandram - Senior Machine Learning Consultant @ Ashling Partners & UiPath MVP
📌Russel Alfeche - Technology Leader RPA @qBotica & UiPath MVP
The financial industry is witnessing an emerging trend of Large Language Models (LLMs) applications to improve operational efficiency. This article, based on a round table discussion hosted by TruEra and QuantUniversity in New York in May 2023, explores the potential use cases of LLMs in financial institutions (FIs), the risks to consider, approaches to manage these risks, and the implications for people, skills, and ways of working. Frontline personnel from Data and Analytics/AI teams, Model Risk, Data Management, and other roles from fifteen financial institutions devoted over two hours to discussing the LLM opportunities within their industry, as well as strategies for mitigating associated risks.
The discussions revealed a preference for discriminative use cases over generative ones, with a focus on information retrieval and operational automation. The necessity for a human-in-the-loop was emphasized, along with a detailed discourse on risks and their mitigation.
The AI Index Report 2023 provides the following key highlights from its research and development chapter:
1. The US and China have the most cross-country AI research collaborations, though the rate of growth has slowed in recent years.
2. Global AI research output has more than doubled since 2010, led by areas like machine learning, computer vision and pattern recognition.
3. China now leads in total AI research publications, while the US still leads in conference and repository citations but these leads are decreasing.
4. Industry now produces far more significant AI models than academia, as building state-of-the-art systems requires greater resources that industry can provide.
5. Large language models
This document provides 7 best practices for using the Azure OpenAI Service:
1. Set clear goals and objectives for your prompts.
2. Choose the appropriate AI model like GPT-3, Ada, or Davinci based on your task's complexity and required capabilities.
3. Ensure prompts are precise yet not too short to achieve the desired response.
Understanding generative AI models A comprehensive overview.pdfStephenAmell4
Generative AI refers to a branch of artificial intelligence that focuses on enabling machines to generate new and original content. Unlike traditional AI systems that follow predefined rules and patterns, generative AI leverages advanced algorithms and neural networks to autonomously produce outputs that mimic human creativity and decision-making.
Gartner provides webinars on various topics related to technology. This webinar discusses generative AI, which refers to AI techniques that can generate new unique artifacts like text, images, code, and more based on training data. The webinar covers several topics related to generative AI, including its use in novel molecule discovery, AI avatars, and automated content generation. It provides examples of how generative AI can benefit various industries and recommendations for organizations looking to utilize this emerging technology.
Delve into this insightful article to explore the current state of generative AI, its ethical implications, and the power of generative AI models across various industries.
Understanding GenAI/LLM and What is Google Offering - Felix GohNUS-ISS
With the recent buzz on Generative AI & Large Language Models, the question is to what extent can these technologies be applied at work or when you're studying and how easy is it to manage/develop your own models? Hear from our guest speaker from Google as he shares some insights into how industries are evolving with these trends and what are some of Google's offerings from Duet AI in Google Workspace to the GenAI App Builder on Google Cloud.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
generative-ai-fundamentals and Large language modelsAdventureWorld5
Thank you for the detailed review of the protein bars. I'm glad to hear you and your family are enjoying them as a healthy snack and meal replacement option. A couple suggestions based on your feedback:
- For future orders, you may want to check the expiration dates to help avoid any dried out bars towards the end of the box. Freshness is key to maintaining the moist texture.
- When introducing someone new to the bars, selecting one in-person if possible allows checking the flexibility as an indicator it's moist inside. This could help avoid a disappointing first impression from a dry sample.
- Storing opened boxes in an airtight container in the fridge may help extend the freshness even further when you can't
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Gen AI Cognizant & AWS event presentation_12 Oct.pdfPhilipBasford
This document provides an overview of generative AI capabilities and architectures on AWS. It discusses the evolution of generative AI and some of its potential uses including generative search, smart data analytics assistance, text summarization, personalization, simulation, and automating routine tasks. It outlines several generative AI architectures available on AWS including Stable Diffusion, Claude, Jurassic-2z, Titan, Command & Embed, and models available through Hugging Face. The document discusses Amazon SageMaker and Amazon Bedrock as flagship services for foundational models on AWS. It also presents the Enterprise Knowledge Navigator solution for advanced question answering, retrieval-augmented generation, security, and interacting with data lakes. The document concludes with two case studies
LLMs in Production: Tooling, Process, and Team StructureAggregage
Join Dr. Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about the tooling, processes, and team structure you need to build and operate performant, reliable, and scalable production-grade LLM applications!
OpenAI is an AI research company dedicated to developing friendly AI that benefits humanity. Their mission is to ensure that artificial general intelligence is developed and applied safely and for the benefit of all people. OpenAI conducts research in areas like machine learning, computer vision, natural language processing, and robotics to advance AI in a responsible manner.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
AI, Machine Learning, and Data Science ConceptsDan O'Leary
An overview of AI, Machine Learning, and Data Science concepts, contrasting popular conceptions of AI to state-of-the-art methods in Data Science. An introduction to Machine Learning will compare supervised and unsupervised methods, give high-level descriptions of key methods, and discuss current use cases and trends.
Web version of presentation given to the Data Science Society of Auburn, a mix of undergraduate and graduate students interested in Data Science.
A non-technical overview of Large Language Models, exploring their potential, limitations, and customization for specific challenges. While this deck is tailored for an audience from the financial industry in mind, its content remains broadly applicable.
(Note: Discover a slightly updated version of this deck at slideshare.net/LoicMerckel/introduction-to-llms.)
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
INTRODUCTION
IoT history
IoT world
IoT in Gartner Hype cycle
IoT economic impact and trends
ABOUT IoT
What is IoT ?
IoT market environment
Technologies behind IoT
IoT global roadmap
What is IoT ?
IoT market environment
Technologies behind IoT
IoT global roadmap
APPLICATIONS OF IoT
Selection of impacting examples
IS IoT FOR YOU?
List of questions to help you moving forward!
Why should you start exploring IoT opportunities?
Preliminary questions before jumping in (Skills, assets…)
The document discusses key trends shaping the Indian SaaS landscape over the next decade. Some of the main points are:
1) Software, and specifically SaaS, is the most attractive technology segment driving around 50% of value creation while only comprising 20% of enterprise spending.
2) Seven SaaS domains could drive a $500 billion market opportunity by 2025 for India.
3) The Indian SaaS ecosystem has potential to create $1 trillion in value and nearly half a million jobs by 2030.
4) Historically Indian SaaS companies have underinvested in growth compared to global leaders. Focusing more on growth could double the growth rate of the Indian S
Chatbots is the new User Experience Interface. Turn your data into meaningful and smart conversations to suit your business and enable your customers to have a great experience
Patrick Couch - Intelligenta Maskiner & Smartare Tjänster IBM Sverige
Industriföretag, såväl tillverkare som användare av maskiner, fordon och utrustning, står inför ett paradigmskifte drivet av ökad global konkurrens, kunders förändrade efterfrågan samt det faktum att produkterna nu blir instrumenterade, ihopkopplade och mer intelligenta. Stora datamängder är inte ett buzzword för dessa företag, utan en reell verklighet som de behöver förhålla sig till för att säkra sin framtida verksamhet. I bästa fall omvandlar dessa företag denna teknologiska revolution (populärt kallad Internet of Things, Industrial Internet, M2M, Industri 4.0 etc.) till en motor för att utveckla verksamheten mot tillväxt och effektivare produktion. Detta skifte skapar framförallt stora möjligheter att förflytta sig mot leveranser av tjänster som kraftigt ökar mervärdet för kunderna, deras kunders kunder samt för producenten.
Top 10 custom software development trends Emma Jhonson
The software development advancement partially also modifying the custom software development trends each year, so to build leading software, you should know about the current trending technologies.
How to build a generative AI solution A step-by-step guide.pdfChristopherTHyatt
Discover the secrets of building a generative AI solution with our step-by-step guide. From defining objectives to deployment, unlock the power of creativity and innovation.
Tech. 2017 predictions presentation for meetupsSumant Parimal
The document summarizes technology predictions for 2017 from analysts like IDC and Gartner. It outlines opportunities and disruptions in areas like AI/robotics, analytics, cloud, IoT, and digital business. It provides guidance for technology startups and SMBs on aligning their go-to-market strategies with these predictions, such as developing conversational interfaces using cognitive APIs, solutions for digital transformation, and aligning offerings with cloud platforms and industry-specific collaborative clouds.
How to build a generative AI solution A step-by-step guide (2).pdfChristopherTHyatt
AI solutions are revolutionizing manufacturing processes, from predictive maintenance to quality control. By leveraging machine learning algorithms and sensor data, manufacturers can proactively schedule maintenance, optimize production processes, and enhance overall efficiency.
leewayhertz.com-The architecture of Generative AI for enterprises.pdfKristiLBurns
Generative AI is quickly becoming popular among enterprises, with various applications being developed that can change how businesses operate. From code generation to product design and engineering, generative AI impacts a range of enterprise applications.
Kellton Tech Solutions Ltd is among the top AI stocks in India focused on digital commerce, marketing, and transformation. It develops platforms to help clients with digital transformation across sectors. The Indian government aims to employ AI and robotics technology for various applications, making the sector lucrative for investors. The top AI companies in India include Tata Elxsi Ltd, Bosch Ltd, Oracle Financial Services Software Ltd, Persistent Systems Ltd, Affle India Ltd, Happiest Minds Technologies Ltd, Zensar Technologies Ltd, Saksoft Ltd, and Kellton Tech Solutions Ltd. These companies offer solutions across industries like manufacturing, retail, automotive, and more.
Kellton Tech Solutions Ltd is among the top AI stocks in India focused on digital commerce, marketing, and transformation. It develops platforms to help clients with digital transformation across sectors. The Indian government aims to employ AI and robotics technology for various applications, making the sector lucrative for investors. The top AI companies in India include Tata Elxsi Ltd, Bosch Ltd, Oracle Financial Services Software Ltd, Persistent Systems Ltd, Affle India Ltd, Happiest Minds Technologies Ltd, Zensar Technologies Ltd, Saksoft Ltd, and Kellton Tech Solutions Ltd. These companies offer solutions across industries like manufacturing, retail, automotive, and more.
The worldwide cognitive/AI software platforms market experienced significant growth in 2017, reaching $2 billion in revenue and growing 23.1%. Major vendors like IBM, Microsoft, and Amazon saw strong growth as organizations used tools like deep learning and machine learning to develop new applications that provide predictions, recommendations and advice to users. The market is expected to continue expanding rapidly as more enterprises adopt AI capabilities.
Building a generative AI solution involves defining the problem, collecting and processing data, selecting suitable models, training and fine-tuning them, and deploying the system effectively. It’s essential to gather high-quality data, choose appropriate algorithms, ensure security, and stay updated with advancements.
future_trends_in_software_development_to_watch_in_2024.pdfsarah david
Elevate services with AI and Machine Learning integration, explore Cloud Computing's $1 trillion surge, and adapt to IoT's 65 billion devices. Embrace cross-platform development with Flutter and React Native. Unlock Blockchain's potential beyond cryptocurrency. Ride the IT outsourcing wave, poised to surpass $700 billion. Prioritize ethical AI practices amid government scrutiny. Join the green revolution with sustainable software development. Stay competitive in India's tech surge. Transform your approach—2024 demands it!
Generative AI models are transforming various fields by creating realistic images, text, music, and videos. This guide will take you through the essential steps and considerations for building a generative AI model, providing a comprehensive understanding of the process.
Agile Mumbai 2022 - Dr. Suresh A Shan | Keynote - Impact of Artificial Intell...AgileNetwork
Agile Mumbai 2022
Keynote - Impact of Artificial Intelligence in Software Development Life Cycle
Dr. Suresh A Shan
Chairman - Computer Society of India (Mumbai Chapter)
AI Thought Leader
The Power of Generative AI in Accelerating No Code Adoption.pdfSaeed Al Dhaheri
This document discusses the power of generative AI in accelerating no code adoption. It notes trends showing increasing use of no-code/low-code technologies and citizen developers. Generative AI can further boost productivity by integrating with no-code platforms. Examples are provided of generative AI generating code, chatbots, and other applications through natural language. The convergence of no-code platforms and generative AI has the potential to democratize automation and application development. Challenges to adoption include ethical issues, security risks, and the need for re-skilling. However, generative AI coupled with no-code represents a significant opportunity to transform software development and empower more users through conversational assistants.
future_trends_in_software_development_to_watch_in_2024.pdfsarah david
Elevate services with AI and Machine Learning integration, explore Cloud Computing's $1 trillion surge, and adapt to IoT's 65 billion devices. Embrace cross-platform development with Flutter and React Native. Unlock Blockchain's potential beyond cryptocurrency. Ride the IT outsourcing wave, poised to surpass $700 billion. Prioritize ethical AI practices amid government scrutiny. Join the green revolution with sustainable software development. Stay competitive in India's tech surge. Transform your approach—2024 demands it!
Similar to India's_Generative_AI_Startup_Landscape_Report_2023_Inc42 (1).pdf (20)
Predicting Test Results without Execution (FSE 2024)andrehoraa
As software systems grow, test suites may become complex, making it challenging to run the tests frequently and locally. Recently, Large Language Models (LLMs) have been adopted in multiple software engineering tasks. It has demonstrated great results in code generation, however, it is not yet clear whether these models understand code execution. Particularly, it is unclear whether LLMs can be used to predict test results, and, potentially, overcome the issues of running real-world tests. To shed some light on this problem, in this paper, we explore the capability of LLMs to predict test results without execution. We evaluate the performance of the state-of-the-art GPT-4 in predicting the execution of 200 test cases of the Python Standard Library. Among these 200 test cases, 100 are passing and 100 are failing ones. Overall, we find that GPT-4 has a precision of 88.8%, recall of 71%, and accuracy of 81% in the test result prediction. However, the results vary depending on the test complexity: GPT-4 presented better precision and recall when predicting simpler tests (93.2% and 82%) than complex ones (83.3% and 60%). We also find differences among the analyzed test suites, with the precision ranging from 77.8% to 94.7% and recall between 60% and 90%. Our findings suggest that GPT-4 still needs significant progress in predicting test results.
Test Polarity: Detecting Positive and Negative Tests (FSE 2024)andrehoraa
Positive tests (aka, happy path tests) cover the expected behavior of the program, while negative tests (aka, unhappy path tests) check the unexpected behavior. Ideally, test suites should have both positive and negative tests to better protect against regressions. In practice, unfortunately, we cannot easily identify whether a test is positive or negative. A better understanding of whether a test suite is more positive or negative is fundamental to assessing the overall test suite capability in testing expected and unexpected behaviors. In this paper, we propose test polarity, an automated approach to detect positive and negative tests. Our approach runs/monitors the test suite and collects runtime data about the application execution to classify the test methods as positive or negative. In a first evaluation, test polarity correctly classified 117 tests as as positive or negative. Finally, we provide a preliminary empirical study to analyze the test polarity of 2,054 test methods from 12 real-world test suites of the Python Standard Library. We find that most of the analyzed test methods are negative (88%) and a minority is positive (12%). However, there is a large variation per project: while some libraries have an equivalent number of positive and negative tests, others have mostly negative ones.
Trawex provides Amadeus Travel API is a collection of APIs that allow travel organizations to access Amadeus' various travel-related products and content. This includes the ability to search for flights, book flights, get hotel information, and view destination content. With the Amadeus API, travel agents and agencies can serve travelers globally, help them find the best deals, and manage their travel businesses, reducing costs and increasing revenues.
For more details, Pls visit our website:
https://www.trawex.com/amadeus-travel-api.php
SAP implementation steps PDF - Zyple SoftwareZyple Software
Unlock the full potential of your SAP system with our comprehensive SAP Implementation Steps PDF guide! This detailed document is your go-to resource for navigating the complexities of SAP implementation from start to finish. Whether you’re a project manager, an IT specialist, or a business leader, this PDF provides step-by-step instructions, best practices, and expert insights to ensure a successful SAP deployment.
What You’ll Find in This Guide
1. Project Preparation: Discover how to define your objectives clearly, assemble a skilled project team, and develop a robust project plan. Learn how to identify your business needs, set measurable goals, and create a timeline that aligns with your organization’s strategic vision.
2. Business Blueprint: Understand how to analyze current business processes, define specific requirements, and design a comprehensive Business Blueprint. This section helps you document existing workflows, identify gaps, and map out how SAP solutions will address these gaps to meet your business needs.
3. Realization: Get detailed instructions on configuring the SAP system, migrating data from legacy systems, and conducting thorough testing. This part of the guide covers system setup, customization, data extraction, transformation, loading (ETL), and various testing phases to ensure the system functions as expected.
4. Deployment: Learn the critical steps for a successful Go-Live. This includes preparing for the transition, executing the Go-Live plan, and providing initial support. The guide explains how to manage data validation, user training, and system readiness to ensure a smooth launch.
5. Post-Go-Live Support: Discover how to monitor system performance, address any issues that arise, and conduct a post-implementation review. This section helps you evaluate the success of the SAP implementation, gather feedback, and plan for future improvements.
PathSpotter: Exploring Tested Paths to Discover Missing Tests (FSE 2024)andrehoraa
When creating test cases, ideally, developers should test both the expected and unexpected behaviors of the program to catch more bugs and avoid regressions. However, the literature has provided evidence that developers are more likely to test expected behaviors than unexpected ones. In this paper, we propose PathSpotter, a tool to automatically identify tested paths and support the detection of missing tests. Based on PathSpotter, we provide an approach to guide us in detecting missing tests. To evaluate it, we submitted pull requests with test improvements to open-source projects. As a result, 6 out of 8 pull requests were accepted and merged in relevant systems, including CPython, Pylint, and Jupyter Client. These pull requests created/updated 32 tests and added 80 novel assertions covering untested cases. This indicates that our test improvement solution is well received by open-source projects.
TEQnation 2024: Sustainable Software: May the Green Code Be with Youmarcofolio
In a galaxy not so far away, software development is taking on an eco-friendly twist! Join me for a journey into the world of Green Software Development, where we explore how the Force of sustainability can be harnessed to create a better, greener future for software and the planet.
We'll fly away to various topics, including:
- The Green Side of Code: Discover the fundamental principles of Green Software Development and how they can lead to reduced energy consumption, lower carbon footprints, and more environmentally responsible software.
- Eco-Jedi Tools: Explore the tools and techniques at the heart of Green Software Development, including energy-efficient coding practices and sustainable development methodologies.
- Carbon Emissions and the Dark Side: Learn about the environmental impact of software and how we can combat the "Dark Side" of excessive energy consumption with eco-conscious programming.
- Ewoks vs. Energy Efficiency: Are you building your software like the energy-efficient Ewoks or the resource-hungry Death Star?
- The Path to a Greener Future: We'll discuss the challenges and opportunities ahead on our journey toward a more sustainable software galaxy and how you can be a part of it.
Join me for an engaging and informative presentation where we combine the power of technology and the wisdom of the Jedi to bring balance to the software development Force. Together, we'll ensure that the code is green, and our planet is preserved for generations to come. May the Green Code Be with You!
2. INDIA’S DIGITAL
ECONOMY
01
INDIA’S STARTUP
ECONOMY
02
ARTIFICIAL INTELLIGENCE: AT THE
CENTRE STAGE OF WORLD’S FIFTH
INDUSTRIAL REVOLUTION
03
GENERATIVE AI: INDIAN STARTUP
LANDSCAPE
06
ARTIFICIAL INNOVATION
LIFECYCLE
05
WHAT IS
GENERATIVE AI
04
GENERATIVE AI STARTUP
ECOSYSTEM IN INDIA
07
LIST OF 30 ACTIVE GENERATIVE
AI STARTUPS IN INDIA
08
GENERATIVE AI MARKET
OPPORTUNITY: INDIA & THE WORLD
09
KEY CHALLENGES & GROWTH
DRIVERS IN INDIA
11
GENERATIVE AI APPLICATIONS
IN INDIA
10
3. India To Have 900 Mn+ Active Internet Users By 2025
By 2025, 56% of all new internet users will be from rural areas, and 65% of new internet users will be female
2022
931 Mn+
759 Mn+
360 Mn+
399 Mn+
1.1 Bn+
900 Mn+
396 Mn+
504 Mn+
22%
52%
19%
10%
26%
Smartphone
users
Internet Penetration
(Active Users)
71%
Urban Internet Penetration
(Active Users)
$0.17
Cost Of 1GB
Internet
7K+
5G Enabled Indian
Cities/towns
395 Mn
Number Of Male
Internet Users
349 Mn
Number Of Female
Internet Users
Internet
users
Urban internet
users
Rural internet
users
2025 (E)
% Growth
(Absolute)
SOURCE: IAMAI, INC42 ANALYSIS
4. 3rd Largest Ecosystem In The World
68K+ Indian Startups Launched To Date
111 Indian Startups In The Unicorn Club
9.5K+ Investors Participated In Startup Funding
1.2K+ M&A Deals Recorded
768K+ Jobs Created In The Past Six Years
$143 Bn+ Funding Raised By Indian Startups
5.3K+ Funded Startups In India
$500 Bn+ Combined Valuation Of Indian Startups
24 Listed Indian Internet Companies
The State Of Indian Startup Economy
The State Of Indian Startup Economy
Source: Inc42
Note: Funding data is for the period between 2014 and June 2023
34. www.inc42.com
Contact: editor@inc42.com
Inc42 is India’s largest tech media & information platform on a
mission to build & serve India’s tech, startup & internet
economy.
From breaking the latest news to discovering the hottest
startups, from spotting upcoming trends to simplifying
complex concepts, we cover everything tech in India’s internet
economy.
Born in January 2015, Inc42 has become the leading source for
news & analysis on India’s rapidly growing tech, startup &
internet economy. Inc42, with over 35,000+ published stories,
80+ research reports, 120+ conferences & events & having
featured 1000s of entrepreneurs, now reaches over 25 Mn+ tech
leaders & professionals every month.
CREDITS
SANDEEP SINGH
ANALYST
Inc42 Media, 59/16, 4th Floor, Jujhar Tower,
RD Marg, Kalkaji, New Delhi, Delhi 110019
ADDRESS
SABITH
DESIGN
35. Disclaimer
The data provided in this report has been obtained from public and private sources. We have made every attempt to ensure that the information
presented in this report is accurate and free from any discrepancies. Ideope Media Pvt Ltd, the parent company of Inc42 Media and Inc42 DataLabs, is
not responsible for any inaccuracy in the information presented or for any damages caused by the use of information provided in this report. In case of
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