How Dataknobs help in building data products
Enterprises are most successful when they treat data like a product. It enable to use data in multiple use cases. However data product should be designed differently compared to software product.
KREATE AI ASSISTANTS - LLM STUDIO
Setup Knowledgebase
Setup Personalization
Setup User Experience
Kreate Studio allows you to leverage the unique capabilities of 🔹 leading LLMs like OpenAI and Gemini 🔹 , with the option to integrate others in the future.
Manage Prompts
Save time and effort by using pre-built prompt templates, set up new templates and let domain expert build advance AI assistants. Improve accuracy, increase conrol with prompt templates.
Engage with Users
Build Dataproduct that combines multiple raw and granualer signal to higher level concept. Used Advance machine learning and statistical model to built Data Signals that operations and finance team can use.
Use Proprietary Dataset
Empower your AI assistant with the knowledge only you possess. Train the AI assistant on your specific data, allowing it to understand your unique language, preferences, and domain-specific knowledge. This leads to more relevant and accurate responses.
Unique Experience
AI Made Easy: Create the perfect assistant for your brand and needs, no coding required. Choose from a range of features and integrations to personalize your AI assistant's capabilities.
KREATE - SaaS Product
Many Small businesses use KREATE to power their websites, chatbot and AI Assistants.
Kreate Bots
Create chatbot and AI agents with ease. Focus on enriching knowledbease. Combine simple chatbot and AI agents according to complexity of tasks. Try using pre-built AI Agent templates with full code access.
Kreate Websites
Generate webpages,seo and E2E websites directly from google drive or github content. Create visualization and experience that win with users and win with search engine algorithms..
From the blog
Generative AI is one of approach to build data product
Generative AI has enabled many transformative scenarios. We combine generative AI, AI, automation, web scraping, ingesting dataset to build new data products. We have expertise in generative AI, but for business benefit we define our goal to build data product in data centric manner.
Data Lineage and Extensibility
To build a commercial data product, create a base data product. Then add extension to these data product by adding various types of transformation. However it lead to complexity as you have to manage Data Lineage. Use knobs for lineage and extensibility
Develop data products and check user response thru experiment
As per HBR " Data product require validation of both 1. whether algorithm work 2. whether user like it". Builders of data product need to balance between investing in data-building and experimenting. Our product KREATE focus on building dataset and apps , ABExperiment focus on ab testing. both are designed to meet data product development lifecycle
Experiment faster and cheaper with knobs
In complex problems you have to run hundreds of experiments. Plurality of method require in machine learning is extremely high. With Dataknobs approach, you can experiment thru knobs.
Knobs are levers using which you manage output
See Drivetrain appproach for building data product, AI product. It has 4 steps and levers are key to success. Knobs are abstract mechanism on input that you can control.
Spotlight
Generative AI slides
KREATE
Our product KREATE can generate web design. Web design that are built to convert
Using KREATE you can publish marketing blog with ease. See KREATE in action
Fractional CTO for generative AI and Data Products
Startup and enterprise who wish to build their own data prodct can hire expertise to build Data product using generative AI