CRITIX: Future of AI in Data Analysis and Problem Solving

CRITIX KNOW THE FUTURE • Founder’s: • Samarveer Singh(200522154) • Manpreet Kaur(200520807) • Anmolpreet Singh(200521592) • Jaskaranpreet Kaur(200522748) • Ravneet Kaur(200518552) • Najamuddin Mohammed Siddiqui(200524062) 8/6/23 Sample Footer Text 1

TABLE OF CONTENTS • The Product: 1. Vision 2. Mission 3. Need for Data Analysis 4. Short-Term Milestones 5. Long-Term Milestones 6. Product Description • Benefits and Features • The Team(New Hires) • Outsourcing • The Industry (Target Market) • Marketing Strategy • Competition • Competitive Strategy • Refrences

THE PRODUCT Critix and Co. is a general partnership firm which is established on June 18,2023. Critix and Co. is an artificial intelligence software provider which helps in the analysis of complex data and gives results to solve problems of different types of situtions faced by companies and individuals nowadays such as new product launch target markets and areas for expansion and many more. 8/5/23 Sample Footer Text 3

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VISION “ A problem-free world”. We want to analyze all the threats and problems which are going to come due to some factors and repetitive actions of some entities which will lead to loss of anything in this world. It cam be loss of life, loss of value, or any kind of bad effect on companies reputation or financial report, any kind of change in nature, or destruction of some important components of nature. 8/5/23 Sample Footer Text 4

MISSION “To help every individual on this planet to solve their problems easily”. We want that everyone can analyze their actions and find the solutions to their problems or by analyzing the actions of a group of people who also faced the same problem and get rid of that problem by using a set of solutions also can find that if any problem is just going to come due the actions they are performing so that they can be aware of future threats and can stop doing that actions or change them for better. 8/5/23 Sample Footer Text 5

NEED OF DATA ANALYSIS All of this started in 1980. As we all know the internet is used for decades and the things we search for are stored as data in databases the information provided by people is also get stored in these databases and be there and never goes anywhere but as technology grows people came up with different ideas like if we use that stored data and find out what is the demand of people or to predict the changes which can happen in accordance to past incidences and many more. So, with this thought, we started searching data in different aspects and from different angles to find solutions to our problems but as time proceeds the number of internet users increased from 2.6 million to 3.4 billion in a time span of 1990-2016 and so the data which is getting stored increased to 57.5 zettabytes which is impossible for an individual to study and can come on a particular result. So here is when the data analysis emerged, and this comes to the attention in 2019. So, more and more individuals are getting into this profession but humans also have limitations in analyzing data so tech developers started developing data-analyzing software to ease the works of humans but still, they lack in providing accurate solutions by analyzing these results because they cannot think about all the factors on a single time which are affecting a situation and causing problem but AI can do that due to its vast capabilities of deep learning via neural networks and can predict accurate solutions by not leaving a single aspect into consideration. 8/5/23 Sample Footer Text 6

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SHORT-TERM MILESTONES 8/5/23 Sample Footer Text 7 MILESTONES TIMELINES SETTING-UP OFFICE 10 JULY,2023 PURCHASING APPROPRIATE SYSTEMS 21 JULY,2023 HIRING CERTIFIED PROGRAMMERS 15 AUGUST,2023 BUSINESS INSURANCE 20 AUGUST,2023 DESIGNING AND LAUNCHING SOFTWARE 25 SEPTEMBER,2023 ACCOUNTING AND TAXATION CONSULTANT APPOINTMENT 29 SEPTEMBER,2023

LONG-TERM MILESTONES • IMPLEMENTATION OF MARKETING STRATEGIES • CREATION OF BRAND AWARENESS • NETWORKING AND PARTNERSHIPS • ASSOCIATION WITH TARGET COMPANIES • QUALITY CONTROL MECHANISMS • REACHING $1 MILLION IN PROFITS • EXPANSION IN ALL ANALYSIS SECTORS • BECOME A DAILY-USE APPLICATION • REACH MORE THAN 10 COMPANIES AS CLIENTS 8/5/23 Sample Footer Text 8

PRODUCT DESCRIPTION Critix is AI software that will work more effectively and efficiently than data scientists and can produce more accurate results in 1 day which data scientists and analysts take 12 days to produce. Critix works with the help of deep learning which runs through neural networks and helps it to learn at a fast pace than humans for instance that the human mind can answer a mathematical problem in five minutes, and artificial intelligence can solve ten problems in one minute. Critix alone can do all functions for which different types of data scientists are hired such as financial data scientists, technical data scientists, and Scientific data scientists. Critix uses almost all types of techniques and methods before concluding a result. Critix can be used to analyze the needs of the market and can recommend the launching of new products after reviewing the reviews of rival’s products and their drawbacks. Critix can help in making financial decisions after reviewing the market conditions and company holdings. Critix can help traders to analyze and predict the future price of stocks to ease their research work and help them to find the best shares to buy and many more. Critix can predict a company’s accurate growth and expenses for a time period they want to know and also the ways to increase its growth at a higher pace it can also predict the future threats that a company can fall into after taking the market trends and customer reviews into consideration. 8/5/23 Sample Footer Text 9

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BENEFITS AND FEATUES OF CRITIX • It works 5o times faster than a human mind. • It can analyze more than 100 aspects at a time and through all possible angles which a human brain can’t even imagine. • It can give a 100% sure prediction if everything remains the same for future threats as it was at the time of prediction and can save a company or individual from problems like financial crisis, quality customer relationships, and expansion problems. • It can help in finding market trends and popular product qualities. • It can help to find a perfect target audience and ways to increase product sales. • It can help grocery stores to order and avoids to order products after analyzing their sales records. • It can suggest product improvements after deeply analyzing the products reviews. •

THE TEAM MEMBERS NAME OCCUPATION RESPONSIBILITIES SALARIES Samarveer Singh CEO (Chief Executive Officer) • Sets the company's vision, mission, and overall strategy. • Makes key business decisions and drives the company's growth. • Builds partnerships and maintains relationships with stakeholders. • Represents the company in the industry and at events. $200,000 /year Manpreet Kaur CTO (Chief Technology Officer) • Defines the technological roadmap and strategy of the company. • Oversees the development and deployment of AI algorithms and software. • Ensures the technical feasibility and scalability of the AI platform. • Keeps up with the latest advancements in AI technology and identifies opportunities for innovation. $135,000 /year Anmolpreet Singh COO (Chief Operations Officer) • Manages the day-to-day operations of the company. • Allocates resources effectively and ensures efficient project management. • Optimizes internal processes and workflows for increased productivity. • Coordinates with different teams to ensure smooth execution of projects. $104,000 /year Jaskaranpreet Kaur CRO (Chief Research Officer) • Conducts research to explore new AI technologies and methodologies. • Evaluates the feasibility and potential impact of new research findings. • Guides the integration of cutting-edge research into the company's AI capabilities. • Collaborates with the data science and software engineering teams to drive innovation. $112,000 /year Ravneet K Chief Business Development Officer • Identifies market opportunities and potential clients. • Builds strategic partnerships with customers, vendors, and investors. • Develops sales and marketing strategies to promote the AI software platform. • Monitors market trends and competitive landscape to inform business decisions. $92,000 /year Najamuddin Mohammed Siddiqui Chief Ethics officer • Ensures ethical practices in AI development and usage. • Addresses potential biases and fairness concerns in AI algorithms. • Develops policies and guidelines for responsible AI deployment. • Promotes transparency and accountability in the company's AI practices. • These roles and responsibilities may evolve and expand as the AI software firm grows and matures. Additionally, in smaller startups, some of these roles may be consolidated or shared among a $80,000 /year

FUTURE NEW HIRES • Software Engineers/Developers: With the growth of the AI software platform, additional software engineers and developers may be required to enhance and maintain the platform. These professionals can work on optimizing performance, adding new features, and ensuring the software's scalability. • UX/UI Designers: Investing in user experience (UX) and user interface (UI) design becomes crucial as the AI software firm aims to create intuitive and user- friendly interfaces for its clients. UX/UI designers can help improve the user experience and ensure the software is visually appealing and easy to navigate. • Sales and Marketing Professionals: As the company expands its customer base, it may require additional sales and marketing personnel to promote the AI software platform, generate leads, and close deals. These professionals can help drive business growth and build strong customer relationships. • Project Managers: Hiring project managers can be beneficial to ensure efficient project execution, timely delivery of products, and effective coordination among different teams within the company. They can oversee the implementation of AI projects and ensure alignment with client requirements and deadlines. • Infrastructure and Cloud Experts: As the company scales its operations, it may require specialists who can manage and optimize the company's infrastructure, including cloud services and computing resources. These professionals can help ensure the scalability, reliability, and security of the AI software platform. 8/6/23 Sample Footer Text 12

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OUTSOURCING • IT Support and Maintenance: Outsourcing IT support and maintenance can be an option for managing the company's hardware and software infrastructure, resolving technical issues, and ensuring smooth operations. • Content Creation and Marketing: Outsourcing content creation, such as blog posts, articles, and marketing materials, to freelancers or agencies can help maintain a consistent content strategy and reach a broader audience. 8/6/23 Sample Footer Text 13

THE INDUSTRY So, considering the data below we can conclude that the AI industry will be the world’s biggest future industry and everyone will be using our technology as the new era will be called as an era of technological advancement and the market size is roughly near $70 billion and can be an industry of $17 trillion by the end of 2030. And as our product will be a main innovation in this era of advancement due to the tremendous increase of data day by day and the need rising to organize it and study it is also rising parallel to it. 8/6/23 Sample Footer Text 14

1. The large MNCs: As the MNCs are expanded in more than one region and expanded in a variety of products so they are the one who needs accurate results in fast-changing world so they hire a group of data scientists and analysts to solve their problem of finding market trends and what are they lacking in current products to improve their quality but due to different scientists specializes in different sectors so they have to hire a group of them instead of hiring one and its costs them near about $320,000 /year for small companies to $1,500,000 /year for large companies and for some companies its even more. So here we will introduce our software to them, which is more efficient and effective and also costs less. Our prices will be in the range of $100,000 - $600,000 /year it varies according to the size of the company, but it will decrease their expenses to 1/3 they are paying currently. 2. Secondary market will be the chain of grocery stores and supermarkets our software will help them to analyze their daily sales and in the end of the month it can depict the products which are sold out the products which are never sold and expired by this the stores can avoid ordering the products which are expired and can be saved from the loss they are incurring every month and also by using this they can find out that which product goes out of stock very fast and in future they will order in big quantity and it will increase customer satisfaction as the product is always available in stock which will also help to increase stores goodwill. TARGET MARKET 1. The large MNCs: As the MNCs are expanded in more than one region and expanded in a variety of products so they are the one who needs accurate results in fast-changing world so they hire a group of data scientists and analysts to solve their problem of finding market trends and what are they lacking in current products to improve their quality but due to different scientists specializes in different sectors so they have to hire a group of them instead of hiring one and its costs them near about $320,000 /year for small companies to $1,500,000 /year for large companies and for some companies its even more. So here we will introduce our software to them, which is more efficient and effective and also costs less. Our prices will be in the range of $100,000 - $600,000 /year it varies according to the size of the company, but it will decrease their expenses to 1/3 they are paying currently. 2. Secondary market will be the chain of grocery stores and supermarkets our software will help them to analyze their daily sales and in the end of the month it can depict the products which are sold out the products which are never sold and expired by this the stores can avoid ordering the products which are expired and can be saved from the loss they are incurring every month and also by using this they can find out that which product goes out of stock very fast and in future they will order in big quantity and it will increase customer satisfaction as the product is always available in stock which will also help to increase stores goodwill.

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MARKETING STRATEGY • ADVERTISEMENTS: The company will use different kinds of advertisement methods both offline and online such as online ads, google ads, Instagram and Facebook ads, newspapers, and magazines. • COMPETITIVE PRICE: By providing lower prices but better quality than the rival companies to build trust and the client base. • GUERILLA MARKETING: By making benches of our brand and by making signs on streets or by displaying them on malls’ bigger screens. 8/6/23 Sample Footer Text 16

COMPETITION COMPETITORS NAME LOCATION SERVICES STRENGTH AND WEAKNESSES Google Cloud Mountain View, California, United States Google Workspace, Google Compute Engine, Computer network, Management, Google Cloud Storage Strengths: • Fast I/O • Strong data analytics and storage • Facilitates easy collaboration. Weaknesses • Limited choice of programming languages • Complex transition away from the platform to another vendor. • Fewer features/services IBM Cloud Armonk, New York, U.S. AI/machine learning. Use Watson's AI or build your own machine-learning models. Automation. Automate workflows from IT operations to business processes. Blockchain. Build applications on an immutable blockchain ledger. Containers. Databases. Strengths: • Scalability: Cloud infrastructure scales on demand to support fluctuating workloads. Storage options: Users can choose public, private, or hybrid storage offerings, depending on security needs and other considerations. Weaknesses: • The cloud can take time to learn, and without easy access to support, this time only increases. IBM Cloud is not the right choice if your business needs a more short-term option, as it can take multiple hours to configure a bare metal server. Alibaba Cloud Hangzhou, 969 West Wen Yi Road, Yu Hang District, China e-commerce, big data, Database, IoT, Object storage (OOS), Kubernetes, and data customization Strengths: • Disaster Recovery (DR) • Access your data Anywhere. • Low cost Weaknesses: • Lack of total control

vided by big companies and a number of services are provided by them, so they are lacking in quality and better customer satisfaction, cture into consideration. So, our strategy to overcome this competition will be being stick to fewer clients but provide them with exce nce we accomplish it perfectly we will expand but with restrictions and only to that many clients that are employees can handle excell ng our interface and by building strong connections with them we will get references from them and from there we will get quality cli ssed without internet access and due to less clients, the system will work fast and efficiently. COMPETITIVE STRATEGY As we can all of these services are provided by big companies and a number of services are provided by them, so they are lacking in quality and better customer satisfaction, and they are just focusing on regular clients and not taking the big picture into consideration. So, our strategy to overcome this competition will be being stick to fewer clients but provide them with excellent services and also customize the software according to their needs once we accomplish it perfectly we will expand but with restrictions and only to that many clients that are employees can handle excellently and serve them best and give them a pleasurable experience after using our interface and by building strong connections with them we will get references from them and from there we will get quality clients not quantity. Also, by providing an interface that can be accessed without internet access and due to less clients, the system will work fast and efficiently.

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REFERENCES • https://www.statista.com/statistics/1365145/artificial- intelligence-market- size/#:~:text=Its%20value%20of%20nearly%20100,a%20vast%20a mount%20of%20industries . • : https://www.trendingtopics.eu/ai-industry-will-reach-worth- of-90-billion-by- 2025/#:~:text=That's%20why%20the%20forecast%20comes,calcu lated%20by%20IDC%20and%20Bloomberg . • https://www.dailymail.co.uk/sciencetech/article- 12064229/How-AI-changed-world-2030-according- experts.html • https://dgtlinfra.com/google-cloud-data-center- locations/#:~:text=Specifically%2C%20Google%20operates%20fa cilities%20in,%3B%20and%20Las%20Vegas%2C%20Nevada . • https://www.glassdoor.ca/Salaries/ceo-salary- SRCH_KO0,3.htm • https://www.salary.com/research/salary/benchmark/chief- technology-officer-salary/toronto-on-canada 8/6/23 Sample Footer Text 19

THANKYOU 8/6/23 Sample Footer Text 20

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