Companies across industries are leveraging GenAI to deliver superior and personalized customer service and automate tedious manual processes.
However, for organizations to realize the full potential of AI they need access to all data across the organization. This immediately creates complexity as organizations have massive amounts of both structured and unstructured data across numerous data silos and complex enterprise systems.
Did you know that 80-90% of global data is unstructured? Think rich media, social media, or survey results locked away in paper documents or siloed systems including audio, video, and chat. Surprisingly, only about 20% of the data needed for any use case is easily visible.
So, what should companies do to solve this challenge?
The first step is to conduct a comprehensive inventory to locate your data and determine how it is formatted. Step two is to assess the data quality and ensure data integrity, security, and its responsible use.
But there is a catch – not maintaining a full comprehensive dataset, a unified approach that covers both structured and unstructured data, can spoil the success.
Generative AI can unlock powerful insights from this hidden data, but only if it’s made visible and accessible. It is important to keep in mind that GenAI models don’t use some unstructured data - they use an enormous amount of it.
But there is a silver lining - The same technology that creates the challenge can also solve it.
GenAI Unlocks Its Own Data Dilemmas
Tolga Coplu, Head of GenAI at BlueCloud, explains: "Generative AI doesn’t require you to discover features within the data to reach the desired target. In fact, meticulous labeling, as in traditional approaches, is often unnecessary in many scenarios. It uses human language or raw images to autonomously determine the desired features. This shift allows us to focus more on the goals rather than the processes, unlocking entirely new ways of interacting with and understanding data."
GenAI’s strengths—mastering unstructured data and generating content—make it a game-changer for streamlining and enhancing data management.
Here are six powerful use cases:
Unlocking Insights from Unstructured Data with BlueCloud GenAI Services
Whether it's detecting violent content in marketing campaigns or classifying human intent in customer interactions, GenAI allows us to tackle problems that would have been nearly impossible to address with rigid, rule-based systems.
Tolga believes that BlueCloud’s strength lies in its ability to structure and manipulate data efficiently which is critical not just for traditional machine learning, but also for GenAI. It’s all about knowing the data, preparing it, and aligning it with the model’s requirements.
“Large language models (LLMs) demand extensive resources for training—hundreds of millions, sometimes billions of dollars. For most companies, developing these models independently is a costly endeavor. Instead, companies should shift their focus to tailoring these models and using them to solve specific problems, which is where BlueCloud’s capabilities shine. With deep expertise in data, BlueCloud is perfectly equipped to make the most of Generative AI technologies” says Tolga.
BlueCloud’ Borderless Delivery model plays a critical role in this success.
"Generative AI development requires highly specialized skills, and BlueCloud’s Borderless Delivery Model enables us to assemble teams quickly and efficiently, bridging gaps in regional talent shortages and allowing us to deliver top-tier solutions to our clients worldwide. Many of the projects we work on focus on less-explored generative AI use cases, such as interacting with huge datasets using natural language, process automation, and preventing human errors in complex tasks, " explains Tolga.
"Generative AI isn’t just a technology; it’s a paradigm shift. At BlueCloud, we’re not only keeping pace with this shift but helping to lead it by turning data into actionable insights and innovative solutions."
BlueInsights: GenAI Accelerator for Transformative Business Solutions
BlueCloud is paving the way in the world of GenAI with BlueInsights, an innovative accelerator designed to empower organizations to bridge the gap between business needs and technical machine learning capabilities. The modularity and scalability of BlueInsights provides powerful tools for querying customer data using natural language.
Four Core Capabilities of BlueInsights
BlueInsights operates as a four-part accelerator:
1. Natural Language to Actionable Insights
One key function is converting natural language queries into Snowflake-based SQL queries. As İsa Sertan Karabıyıklı, MLOps Engineer at BlueCloud noted, "You can ask BlueInsights, 'What is the sales amount in the last year?'. It automatically selects the most appropriate table and columns for your question from the entire database and generates the necessary SQL query."
The AI dynamically adjusts queries and generates insights, complete with charts and visualizations.
2. Simplifying Machine Learning for Non-Technical Users
BlueInsights empowers business users to train machine learning models without requiring technical expertise. "People who don't have technical skills nor information can easily train models, schedule pipelines, and create predictions," İsa explained.
3. Integrated Analysis and Decision Making
BlueInsights enables unstructured data analysis. It can create stronger insights by converting your unstructured data into a structured format and combining it with your other structured data.
4. Customizability and Versatility
What makes BlueInsights stand out is its adaptability which extends across data types—structured, unstructured, image, or PDF—making it applicable across industries and domains.
Real-World Impact: Key Use Cases
BlueInsights has already begun to demonstrate its transformative potential through client engagements.
Customizable Data Solutions
A global leader in audience measurement and personalized marketing partnered with BlueCloud to create an AI-powered solution for enhanced data management and actionable insights, aiming to boost customer engagement and ROI. By leveraging the power of Snowflake Cortex AI and Snowpark ML, BlueInsights is revolutionizing the client’s approach to anomaly detection and data profiling.
- Spotting Anomalies: With BlueInsights, we’re building smart models that catch data anomalies right in their Snowflake environment. Using Snowpark ML and Cortex LLM, we’ve made it easy to analyze data patterns, flag irregularities, and ensure quality—all without leaving Snowflake.
- Profiling Data: BlueInsights also makes data profiling a breeze. From cleaning and transforming datasets to spotting inconsistencies, the platform ensures the client has the high-quality data they need for spot-on analytics.
Under the Hood: GenAI Meets Snowflake
At its core, BlueInsights leverages advanced GenAI technology with Snowflake as the foundational environment. All data processing occurs within Snowflake, ensuring security and compliance. Metadata from client databases is stored as vectors to optimize AI-driven insights and natural language processing. Unlike reliance on external models like OpenAI, BlueInsights operates using Snowflake-hosted AI tools, ensuring seamless integration with client ecosystems.
What’s Your Next Step?
At Gartner’s London Data and Analytics Summit, Senior Analyst Wilco Van Ginkel shared a bold prediction: by 2025, 30% of generative AI projects will stall after the proof-of-concept stage, largely due to poor data quality.
GenAI may create content, but with the right preparation, it can create competitive advantage, too.
From GenAI-driven process automation in marketing to crafting real-time predictive mitigation strategies in construction planning, we’re helping global leaders unlock insights with GenAI.
Are you ready to unlock the possibilities it brings and take the lead? Explore BlueCloud’s GenAI and ML services to learn how we can help you build a unified, secured, and governed approach to managing unstructured data.
Reach out to Isa and Tolga to discuss how we can help you build data readiness in the age of generative AI.
