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Smart Innovation
Crafting Tomorrow’s Solutions Today with Data-Driven Insights
Be “one of a kind” with Smart Innovation
Overcoming Roadblocks in the Pursuit of Innovation
Out of around 30,000 new products launched each year, a staggering 85% meet failure, resulting in about $1.2 million annual loss. Flip that – only 15% of all your new ideas will see the light of day in the market. Prolonged time from concept to shelf is taking a toll on capturing market opportunities. Quickly evolving consumer tastes and preferences, especially in response to trends and global events, are making product innovation more challenging. How do you decide where to place your bets? It’s time to move from ‘Innovation’ to ‘Smart Innovation.’
Smart Innovation: Accelerating Product Evolution with Databricks
Smart Innovation leverages the Databricks Data Intelligence Platform to transform fragmented consumer, product, and internal data into market-winning product concepts. By integrating advanced AI simulators and automated screening, the platform reduces time-to-market and ensures every launch is backed by real-time market trends.
Delta Lake & Auto Loader
Through Delta Lake and Auto Loader, Smart Innovation establishes a high-velocity data foundation. Auto Loader ensures continuous data refresh and new data ingestion from diverse sources—including social media (Consumer Data), market research like Nielsen (Product Data), and internal PLM/Sensory systems. This unified “Data Layer” provides the reliable, structured ground truth necessary for downstream AI modeling.
Databricks SQL & Lakeflow
Databricks SQL and orchestrated data pipelines (via Lakeflow / Delta Live Tables) manage the “DE Layer” (Data Engineering). This layer handles automated profiling, harmonization of disparate data formats, and the integration of multiple sources into “BI-ready” views. These views power the real-time dashboards and analytics used to monitor evolving consumer wants and pain points.
Unity Catalog
By centralizing governance through Unity Catalog, Smart Innovation ensures strict Data Governance & Lineage. This allows for secure, compliant access to sensitive sensory and proprietary internal data across the organization, providing a clear audit trail from raw consumer feedback to the final AI-generated product specifications.
Databricks Workspace & MLflow
The Modelling Layer is powered by the Databricks Workspace, utilizing integrated MLflow to manage the end-to-end lifecycle of AI Simulator and Automated Screening models. This collaborative environment enables rapid iteration on “Concept Development,” tracking experiments to identify potential product opportunities and winning designs that best fit the target concept.
Databricks Serving & DBRX
Databricks Model Serving can host fine-tuned ML models and foundation models such as DBRX to power the recommendation engine. These models help suggest specific product attributes—such as the “Nutritious Floral Blend With Zero Sugar”—by analyzing formulation, sensory data, and consumer benefits in real-time.
Genie & Chatbot
Leveraging Databricks Genie and foundation model capabilities, Smart Innovation enables conversational analytics and document-assisted claims exploration. This allows users to engage in natural language QA, performing “Document-based Claims Generation” for patents and research papers, effectively translating complex data science into actionable business intelligence.
Databricks Apps
The end-user experience is delivered via Databricks Apps, which hosts a custom React UI directly within the Databricks ecosystem. This natively integrated “Insights & Interaction Layer” unifies data pipelines and AI models into a single, governed framework. It enables stakeholders to visualize consumer insights and refine product features within a secure, high-performance environment.
How can AI-powered Smart Innovation help you?
Spot Trends
Identify market trends with growth potential.
Identify Opportunities
Eliminate transient trends and focus on white space opportunities.
Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.
AI Simulation
Implement multi-class models for predicting winning combinations.
Spot Trends
Identify market trends with growth potential.
Identify Opportunities
Eliminate transient trends and focus on white space opportunities.
Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.
AI Simulation
Implement multi-class models for predicting winning combinations.
Spot Trends
Identify market trends with growth potential.
Identify Opportunities
Eliminate transient trends and focus on white space opportunities.
Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.
AI Simulation
Implement multi-class models for predicting winning combinations.
Spot Trends
Identify market trends with growth potential.
Identify Opportunities
Eliminate transient trends and focus on white space opportunities.
Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.
AI Simulation
Implement multi-class models for predicting winning combinations.
Spot Trends
Identify market trends with growth potential.
Identify Opportunities
Eliminate transient trends and focus on white space opportunities.
Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.
AI Simulation
Implement multi-class models for predicting winning combinations.
Spot Trends
Identify market trends with growth potential.
Identify Opportunities
Eliminate transient trends and focus on white space opportunities.
Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.
AI Simulation
Implement multi-class models for predicting winning combinations.
Spot Trends
Identify market trends with growth potential.
Identify Opportunities
Eliminate transient trends and focus on white space opportunities.
Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.
AI Simulation
Implement multi-class models for predicting winning combinations.
Spot Trends
Identify market trends with growth potential.
Identify Opportunities
Eliminate transient trends and focus on white space opportunities.
Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.
AI Simulation
Implement multi-class models for predicting winning combinations.
Spot Trends
Identify market trends with growth potential.
Identify Opportunities
Eliminate transient trends and focus on white space opportunities.
Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.
AI Simulation
Implement multi-class models for predicting winning combinations.
Embrace Change, Lead the Way
Act
ACT
Accelerate
Accelerate
Adapt
Adapt
Achieve
Achieve
Success Stories
Social Media-Based Flavor Trends Drives Product Innovation
1.5x
Reduction in innovation cycle time
Be “One of a Kind” with Smart
Innovation 2
Be “One of a Kind” with Smart
Innovation 3
Be “One of a Kind” with Smart
Innovation 4
Stay Ahead Of The Curve, Always
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