Ai has the power to summarise vast amount of data and to also automate complex tasks and provide predictive insights. They help industries in improving efficiency, accuracy and innovation. This leads to improved decision making and crating personalised experiences. AI also ensures superior product quality through automatous check for defects and predictive maintenance which significantly reduces down time.  AI tools enhance design, predictive analytics, and project management in engineering, leading to innovative solutions. They also help with personalised digital user experience automated customer services and real time threat detection which is key for data security. The industries that AI has the most potential to change are healthcare, financial institutions, insurance, public sector, tech and media. While there are 3 main functions which AI can do and those are marketing, customer support and human resources. According to the last McKinsey report Ai has the potential to grow to a value of 200 billion by 29. Gen AI can add trillions of value to global market. It also has the potential to change how people work by making some of the working jobs automated. This is also likely to increase the pace of work.  The start of Gen AI means that technical automation can also be achieved quicker. A result of Gen AI is more things which humans can do can now be done by tech sooner than expected. Banking, Life science and high-tech are the industries that will receive the most impact as a percentage of their revenue. Marketing and sales, customer operations and software engineering are what AI is going to be used for mainly. AI simplifies software development with tools for looking for bugs and code review while also predicting the project timeline and the resources needed. For the banking and financial services and insurance AI can mainly help with security and real time fraud detection and stuff like that.  AI can transform retail and e-commerce by personalised shopping experience, optimising supply chains with demand predictions, and enhancing customer service through chatbots and virtual shopping assistants. AI significantly impacts healthcare and life science because they can help with improving diagnostic, treatment research and they can also detect diseases early and accelerate drug discoveries. Those are the key things but they also help airplanes, Travel & Hospitality, Energy and Utilities, Manufacturing, Logistics and Media & Entertainment by doing the basic things such as quality checks, storing through data, personalisation and etc. Smart automation is replacing hyper automation and this increasing test accuracies which measles test which equals less costs. AI has vast potential to improve all industries and help reduce all costs by a lot. Embracing AI would help markets as a whole. By using AI organisations can easily improve their processes’ accuracy, efficiency, and effectiveness, leading to superior products and services. Ai can help improve quality by 4 main things which are predictive analysis, automated quality control, process optimisation and customer feedback analysis. The benefits of using AI to do this are increased efficiency, higher accuracy, continuous improvement and enhanced customer satisfaction. Some challenges for this use of AI are data quality and integration, skilled personnel shortages, and AI transparency and explainability. For AI to be used to its best capabilities these challenges will need to be resolved. To a survey given to multiple hundred of people they said AI will help most with Improving software security testing to uncover new potential threats or security weakness. Then their were a few others which were also not to far away and those were analysing test results and code coverage to identify potential quality blind spots, uncovering issues faster via test prioritisation by running potentially problematic test first, leveraging generative AI code remediation to address software defects and/or vulnerabilities and generating functional and unit tests based on defined software requirements. They also believe that adoption of gen AI will create more opportunities for quality engineering. For quality engineering gen AI can help with is building application and services. Over all the 6 things that AI can help with for quality is better and faster and more accurate data analytics, predictive maintenance which significantly reduces downtime, intelligent automation in which AI does repetitive tasks with precision this is mainly used in pharmaceuticals, it can also help with quality assurances in software by de bugging and stuff like that, they also help with customer feedback analysis and lastly they also do continues refining and improvement to products. The quality assurance testing system has undergone a lot of changes from manual testing to functional and now they have reach smart automation testing. With gen AI leading the quality assurance cycle the roles of respective testers and quality engineers toward a more specialised domain. Cognitive is a leading innovator of digital insurance and they have given a careful significance to AI led quality engineering. Their AI based analytics have also extended to other parts of testing like user experience and application security testing. Cigniti keeps on trying to enhance their blueswan suite and they recently added Model/ML Assurance Platform to the suite. This streamline the Machine Learning (ML) model validation process which allows reliable assessment for all AI driven solutions and reducing time to market. Through continued investments they have also enhance their iNSta and InCight. iNSta basically provides the automation framework at little cost compared to the standard COTS (Commercial of the shelf). iNSta is designed to be used by non automation engineers. Insight is basically there way of tracking CX on mobile and website applications. iNSta has a record and playback feature which reduces testing times and also increases the efficiency. They also have a Browser Extension & Script Tool which works with iNSta to record and generate performance test scripts, specifically for COTS/ platforms. This combined with the many other small but impactful AI tools they have significantly reduced manual efforts and costs, improved defect closure rates, accelerated time to market, and enhanced the overall software quality of various clients across different industries. Engineer AI is the process of designing, developing, and deploying effective, reliable, and ethical artificial intelligence systems. This involves combining engineering principles, computer science, and domain-specific knowledge which would help create AI solutions to real world problems. They use AI solutions to help solve complex problems. Some of the best practises for AI systems are data collection and Preparation in which engineers must get a lot of data and select the best ones to program for the AI system. Another thing that is key is choosing the correct algorithm for the problem. After training the AI model it must be vigorously tested to make sure it works properly. Proactive Quality engineering products helps businesses stay resilient. For example a e-commerce business might use proactive QE to push down customer pain spots and improve them. Most companies grow because of new oppurtuinities and since their have been many disruption lately AI and ML can help a lot of companies by predicting future trends by analysing past data. Cigniti believes that organization must use programmatic innovation and they provide some service to help companies out. These services include providing timely and predictive data insights, they leverage software engineering to allow rapid prototyping and deployment, ensuring continuous information flow and lastly doing a lot of quality checks. It is estimated that by 2027 95 percent of G2000 companies will have AI in their hardware and software. AI has already been a huge helping tool for those companies that have accepted it and took it into their company. Digital AI helps with 4 main things which are Customer Experience and Personalisation, Operations and Supply Chain Management, Marketing and Sales and Financial Services. Assure AI helps AI systems stay fair and reliable by providing 3 things Ethical, Risk Management and Quality Assurance. Engineering AI is the backbone of the AI system and contains 3 things AI Infrastructure, Model Development and Deployment and Data Engineering. Cigniti is at the forefront in digital assurance and digital engineering in which they enhance testing capabilities and give a quality first digital approach with AI-led Quality Engineering and Digital Assurance capabilities. They are also a quality-first Digital Engineering Services company and they leverage their deep understanding of AI and IP. Retail and e-commerce and Banking, Financial Services, and insurance are their top revenue industries. They also signed a deal with coforge which will allow them to grow under coforge. They continue to invest into their solutions for all the industries they serve. The global economy is expected to grow at a rate of 3.62 percent and inflation is expected to be 4.4 which is a significant drop from last year. However geopolitical tensions such as ongoing conflicts could affect the energy industry and supply chains which would further. IT spending is also supposed to increase to 1.5 trillion as more and more business are looking for ways to capitalise on IT growth. Software and services are expected to get most of the spending because of the ongoing digital transformation. The Indian IT industry revenue is projected to rise by 3.8 percent and the total spend are going to rise by 11 percent. This upward trajectory on spending is going to continue on a 9.9 percent CAGR by 27. Moreover AI spending is supposed to grow by 35 percent. Gen AI as a total of AI investments is also expected to grow from 6 percent to 26 percent by 27. Cigniti objective is to stay ahead with AI testing solutions. Their AI analytics also go beyond the average with user experience feedback and security which helps companies stop a problem before it occurs. They are also investing in Intellectual property which would allow computer to pinpoint bugs from just screen shots. They also help with putting up the system into production through validation. Summary Cigniti Technologies Limited is the world’s leading AI & IP-led Digital Assurance and Digital Engineering Services Company. Thye provide their service through multiple domains and industry verticals. Their digital assurance services include AI-infused Quality Assurance and Engineering, Artificial Intelligence Testing, Big Data & Analytics Testing, etc. Their AI led digital engineering services include data engineering, software products & platform engineering, cloud and digital product engineering. They have a few platforms in which they keep on investing into and these platforms are blueswan and Zastra. Cigniti go to industries are retail and E-commerce and Banking, Financial Services & Insurance. Personal thoughts. I think they have a big focus on AI and ML which is very good. From what I understood they provide service which does a lot of tests like quality tests, software tests and things like that. They also do some digital engineering services also. They were acquired by coforge which should help them a lot considering coforge power in the tech sector. I think that they are focusing on the right parts of AI which is like the security aspects. Banks and financial institutions have had some slow growth so when they pick up the pace it should also help them.