Why Does Generative AI Matter?
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of enterprises anticipate transformative effects from Generative AI, out of which only 31% have made sigificant investments -
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report that at least half of their employees have undergone Generative AI training, out of which only 5% have fully implemented it -
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of CXOs has reported that data readiness is the most challenging aspect of deploying Generative AI in their business -
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of businesses have fully implemented Generative AI across their organization, with another 31% expected to implement it in the next 18 months
Leverage Decision-Making Power of Generative AI
Generative AI is pioneering new grounds in the evolution of artificial intelligence. It accelerates digital transformation, unlocks limitless potential at your fingertips, and fundamentally alters business and work through increased human-machine collaboration. With collective hands and collaborative opportunities, we can transform Generative AI technology into a revolutionary tool for advancement by appropriately using it to open up new opportunities, promote innovation, and improve daily life.
Get startedOur Generative AI offerings
Custom Generative AI for Startups
As an Startup, increase your possibilities by preparing to be astounded by the combined power of human intelligence and our Custom Generative AI for Startups offering.
Generative AI for Software Engineering
With Generative AI for Software Engineering, we will assist in modifying the fundamental heart of your software engineering process and organization, then iteratively track progress to ensure continuous improvement.
Generative AI for Customer Experience
With Generative AI for Customer Experience, we assist enterprises in developing finely calibrated foundation models and navigating the complexity of generative AI.
Generative AI Strategy
CXOs can use generative AI strategy to identify and prioritize the most relevant generative AI use cases for their company, demonstrate the tangible value that can be achieved, and lay the groundwork in terms of people, process, and technology to scale their generative AI investments while mitigating risks.
Improve Customer Experience
With our Generative AI services, implement AI-powered conversational assistants to ensure individualized support, seamless client interactions, automate operations, improve engagement, and increase customer satisfaction.
Improve Enterprise Knowledge
With our Generative AI services, use generative AI for comprehensive semantic search and knowledge management to improve decision-making, gain important insights, and expedite information discovery.
Optimize Processes
With our Generative AI services, simplify processes with AI-powered automation to maximize effectiveness and minimize manual labor, optimize processes, attain process excellence, and boost output.
Improve Development Lifecycle
With our Generative AI services, increase developer productivity with AI-powered tools and resources that enable faster development cycles and higher code quality. Simplify workflows, accelerate invention, and improve collaboration.
Streamline Data Engineering
To improve speed and accuracy, with our Generative AI services, streamline data pipelines and receive best-practice recommendations, as well as automated solutions to typical data engineering difficulties.
Our Specialized Custom Model Creations of Generative AI
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Impact of Generative AI on IT Industry
The IT industry is in the forefront of adopting generative AI, using its powers to optimize procedures and innovate in software development. Furthermore, the application of generative AI improves software quality by aiding in software optimization and bug fixing.
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Impact of Generative AI on Travel Apps
Generative AI can assist with airport verification systems and facial recognition. Generative AI can create a full image of a passenger from several angles, and can make it easier to authenticate a traveler's identity. AI algorithms can analyze travellers' feedbacks, comments and reviews to reveal important information about areas that need attention and improvements.
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Impact of Generative AI on Gaming and Virtual Reality
Generative AI is comprehensively transforming the Gaming and Virtual Reality industries by implementing immersive experiences and improvements in in-game content production. This can be achieved by AI algorithms that evaluate gamers reactions, user movements, and preferences to adjust the VR experience in real time.
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Impact of Generative AI on Media & Advertisement app
With the increasing trend of using AI-generated images, audio and animation, Generative AI is being utilized to produce characters for virtual reality experiences and virtual storytelling for movies, TV series, and audio recodings for music streaming and podcasts.
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Impact of Generative AI on Healthcare Apps
Generative AI has a revolutionary effect on the healthcare applications, providing tailored treatment plans, medication development, and diagnostics to ensure that medical professionals will be able to evaluate patient's health more accurately and precisely.
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Impact of Generative AI on Virtual Assistants and Chatbots
Incorporating Generative AI into chatbots and virtual assistants guarantees a smooth user experience, and enhancing interactions. These AI-powered tools can comprehend and reply to user questions naturally since they have sophisticated natural language processing (NLP) capabilities.
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Impact of Generative AI on Finance and Trading Apps
Generative AI's algorithmic trading techniques have a significant influence on the financial industry. Artificial intelligence (AI) models examine past market data, and spot trends, to develop algorithms that can precisely execute trades, giving a competitive edge in the financial markets and improveing trading operations' efficiency.
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Impact of Generative AI on Automotive Apps
Top generative AI use cases for automotive vehicle apps include playing a transformative role in the creation and advancement of self-driving vehicles, contributing to increased safety and efficiency. Generative AI modifies the automotive industry by infusing intelligence in cars and creating personalized driving experiences based on individual interests and needs.
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Impact of Generative AI on Agriculture Apps
Generative AI is revolutionizing the agricultural industry with its AI-powered models that examine information from sensors, satellites and drones to enhance agricultural management techniques. Farmers can boost yields and resource efficiency by making well-informed decisions about fertilization, irrigation, and pest management.
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Impact of Generative AI on Retail & E-commerce Apps
Generative AI is a key component in the development of AI-powered recommendation systems for retail and e-commerce. AI algorithms provide individualized product suggestions based on preferences, purchasing history and user behavior improving the overall customer satisfaction and conversion rates, and brand loyalty.
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Impact of Generative AI on Content Creation
Generative AI's creative potential extends to content creation, transforming how art, music, and marketing materials are created. Generative AI algorithms use trends, industry-specific subjects, and styles for creating text-based posts to visually attractive images, AI models generate content that connects with target audiences, increasing visibility and engagement.
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Impact of Generative AI on Educational App
Generative AI is transforming education by providing tailored learning experiences, novel technologies and adaptive assessments to improve the learning and teaching process. AI algorithms use individual learning styles, performance data, and preferences, to customize educational activities and content.
Partner With US
Our extensive business and industry knowledge of Generative AI underpins our full-service consulting, advising, and delivery skills, which we use to assist your company in overcoming its most difficult difficulties.
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Seamless
ApproachAdopt AI with a seamless strategy that successfully combines human intelligence and technological knowledge to deliver results.
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Responsible
AIApply AI with our expert leadership, passion, commitment and knowledge of responsible AI practices.
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Proven
OrchestrationGet Benefited from our expertise to coordinate across broad ecosystems and transformatory digital platforms.
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Domain
ExpertiseUtilize our in-depth technical expertise, knowledge and industry experience to create reusable, adaptable digital platforms.
Generative AI Enterprise Use Cases
Code Generation, Documentation, and Quality Assurance
Generative AI has the ability to build, inspect and finish, software code sets for developers, coders, and programmers. With generative AI models, test creation, managing bug fixes, and other forms of documentation, quality assurance (Q/A) is arguably the most significant growing use case in this field.
As generative AI coding tools advance, they are helping non-developers and novice coders more and more by generating code based on their natural language scenario-based inquiries. In a corporate environment that is thriving for more tech accessibility and democratization, this specific characteristic of AI coding tools is a welcome development.
Example solutions
- Code Snippets AI
- ChatGPT
- Google Bard
- Tabnine
Product Development and Management
Generative AI is currently being utilized to build numerous apps, produce product documentation, and manage user experience and new iterations throughout the product life cycle. Generative AI is also being used in generative design, which is the process of employing AI to produce many design concepts at scale so that product designers may more effectively find their ideal design.
Developers and product managers may utilize generative AI technologies to automate, enhance, and aggregate data for a variety of purposes. For example, a product developer or designer may utilize a generative AI tool to generate ideas and new code that they would not have considered otherwise. A product manager, may employ generative AI techniques to integrate and summarize customer input from diverse data sources, allowing products to be upgraded with relevant information.
Example solutions
- Viable Generative Analysis
- Stability AI
- AI21 Labs
- GPT-4
Inbound and Outbound Marketing and Sales
Professionals in inbound and outbound marketing domains are typically required to deliver contextualized emails and chat threads to prospective and existing clients on a regular basis. Generative AI technologies can generate and deliver content for these exchanges, reducing the workload. In certain situations, they can even automate the process of forwarding these connections to the next step of the customer lifecycle on a CRM system.
These sorts of helpful generative AI tools are becoming increasingly common in CRM and project management systems, but there are also several standalone generative AI applications for sales and marketing processes. If your team of sales development reps, marketers, salespeople, or other outreach-focused staff is receiving low returns from their existing outreach techniques, the appropriate solution can help them produce better content on a larger scale. Even better, an increasing number of these sales and marketing solutions feature AI-powered analytics, allowing you to gain a better knowledge of what is and isn't working with your present strategies.
Example solutions
- Twain
- Salesforce Einstein GPT
- HubSpot AI
Project Management and Operations
Though several have either made public betas or complete versions of their AI suites available to users, project management systems are still in the early stages of integrating generative AI into their toolkits. These tools may help users with a wide range of tasks, including the creation of tasks and subtasks, suggestions, note-taking, and project risk prediction. The applications for these tools are always growing, especially when it comes to automated workflows.
Project management AI solutions also assist users in managing and summarizing papers, datasets, and other assets, allowing both internal resources and client-submitted material to be processed and applied to projects more efficiently.
Example solutions
- Wrike
- ClickUp
- monday.com
- Notion
Entertainment Media Generation
Project oversight AI solutions help users manage and summarize papers, datasets, and other materials, which makes it possible to organize and apply client-submitted content as well as internal resources to projects more effectively.
Some technology experts expect that generative AI will account for the majority of future cinema material and screenplay production, but creatives are naturally skeptical of this notion. These technologies are now used mostly to complement existing scripts and create more dynamic non-player characters (NPCs) in the entertainment business.
Example solutions
- Stability AI's Stable Diffusion
- Plask
- Charisma
- Latitude Unchained
Business Performance Reporting and Data Analytics
Generative AI is becoming an essential tool for business intelligence and performance reporting due to its ability to swiftly summarize large quantities of text and data. It is especially effective for unstructured and qualitative data analytics, which often require additional processing before insights can be extracted.
Generative AI data analytics technologies may be independent products or integrated into established data analytics systems like Power BI. Generative AI allows standard data analytics tools to go beyond manual processes and visualizations by augmenting data scientists' ideas with recommendations for better graphics, easier-to-read reports, and cleaner data.
Example solutions
- SparkBeyond Discovery
- Dremio
- Narrative BI
- Copilot for Power BI
Customer Support and Customer Service
Generative AI chatbots and virtual assistants can handle many of the most basic customer care interactions at any time of day or night. Chatbots have been used for customer service for many years, but generative AI breakthroughs are providing them more resources to offer complete and human-like responses without the assistance of a human customer care professional.
Many early users of this technology are developing custom service solutions using OpenAI's API and ChatGPT Enterprise. Customer service generative AI solutions are substantially altering the chatbot environment by providing consumers with extended service hours at significantly lower prices, as well as higher-quality, real-time replies to more complex inquiries than previously possible.
Example solutions
- Zendesk Advanced AI
- IBM watsonx Assistant
- Forethought SupportGPT
- UltimateGPT
- Zendesk Advanced AI
- Gridspace
Medical Diagnostics and Pharmaceutical Drug Discovery
Generative AI in medicine and pharmaceuticals is still in its early stages, but it is rapidly evolving. Image production and editing technologies are increasingly being used to optimize and zoom into medical photographs, providing medical practitioners with a more detailed and realistic view of specific regions of the human body.
Some tools can even do medical picture analysis and rudimentary diagnoses on their own, although this success should be viewed with caution and backed up by genuine medical specialists who can evaluate results for quality.
Example solutions
- Paige.ai
- Google Med-PaLM 2
- Insilico Medicine
- Iambic Therapeutics
Technologies We Use
- Python
- R Language
- C++
- Julia
- Java
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Machine
Learning (ML) -
Deep
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Computer
Vision -
Reinforcement
Learning -
Expert
Systems -
Genetic
Algorithms - Robotics
- Knowledge Representation & Reasoning
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Natural
Language Processing
Testimonials
Frequently Asked Questions
Generative AI, or Generative Artificial Intelligence, is a subset of artificial intelligence that focuses on producing fresh, unique material or data. It entails employing algorithms and models to produce data that is not expressly included in the training dataset. This technology may generate text, pictures, music, and other types of content by learning patterns and correlations from previously collected data. Generative AI is used in a variety of disciplines, including content production, creative arts, data augmentation, chatbots, and medication development. It's an effective tool for automating chores that demand imaginative or innovative results.
As a generative AI development company, we provide an extensive range of generative AI services that consist of data analysis, domain-specific generative AI model-building, generative AI integration, generative AI consultancy, and generative AI solutions development, upgrade, and maintenance.
CISIN develops generative AI collaboratively and iteratively in order to provide scalable, high-quality, tailored solutions. We start by having a deep conversation with our clients to understand their unique needs and goals. By utilizing cutting-edge generative AI technology, we create customized solutions that guarantee creativity and flexibility. As a generative AI development company, we place a high value on iteration and refinement during the development process, ensuring that our generative AI solutions are continuously improved to match the changing needs of our clients and provide significant outcomes.
The first step in our domain-specific AI model-building process is a thorough evaluation of your company goals and industry. After that, a fundamental model is chosen. By integrating it with your own data, this model is refined and rigorously tested to make sure it meets your unique business needs.
We create a wide variety of generative AI solutions, including tools for predictive analytics, recommendation engines, and chatbots. The foundation models used to design these solutions, such as GPT-4, LLaMA, and PaLM 2, act as building bricks.
Yes, in order to guarantee the continuous operation of our generative AI systems, we provide post-deployment update and maintenance services. Our dedication to our clients' success motivates us to provide upgrade and maintenance services. We acknowledge the ever-changing demands of organizations in terms of technology and its dynamic nature. We make sure that our generative AI solutions run smoothly, always giving value and innovation to help our clients thrive in a cutthroat business environment. We accomplish this through timely upgrades and routine maintenance.
Not only do we develop generative AI solutions, but we also incorporate them into your current processes. Our clients gain a lot from our generative AI integration solution, which improves customer-facing systems and streamlines internal procedures. Our strategy places a high priority on a smooth transition that disrupts continuing business as little as possible. This enables businesses to take advantage of the revolutionary potential of generative AI and prosper in the quickly changing digital ecosystem.
CISIN is an expert Generative AI services company comprising an expert team of professional developers that are fully stacked with all trending technologies stack to develop Generative AI solutions. Here are the reasons why you should hire CISIN as your Generative AI application development company for your business applications.
- We have a great deal of experience and knowledge in developing superior generative AI solutions that are suited to the unique business requirements of our clients.
- To help you fully utilize AI, our AI specialists will collaborate with you to develop GenAI solutions that are prepared for the future.
- We create generative AI models that are domain-specific and adapted to the particular use cases of our clients.
- In order to satisfy customer needs, we are adaptable in our Generative AI project development techniques.
- For both Fortune 500 businesses and startups, our talented team has developed a variety of GenAI solutions.