Social Bot on Azure: Implementation

Social media has completely transformed the paradigm of consumer engagement for businesses and revolutionized the way brands connect with their audiences. 84% of social media marketers say social media will become consumers’ preferred channel for customer service in the upcoming years.

Sigmoid SocialBot is your tool to decode the digital chatter, answer crucial questions, and shape marketing strategies. It helps answer you answer key questions:

1. Which topics and trends are people discussing online?
2. What do online conversations reveal about developing trends?
3. Can we better under the competitive landscape?
4. How can we catch a negative upcoming trend before it becomes a full-blown crisis
5. How can we predict emerging, flavors, styles, colors, ingredients, etc?

Features:

1. Enhanced data coverage: Our search scope goes beyond hashtags or mentions. Intelligent extraction ensures keywords, related words, and topics are identified with minimal false positives.
2. Trend capture and alerting: Detect early warning signs and receive alerts about upcoming trensocialds. Monitor trending topics, their popularity, and engagement through a dynamic dashboard.
3. Enhanced contextual search: Discover relevant discussion drivers with minimal user feedback. We provide extensive coverage to ensure you never miss out on upcoming trends, regardless of geography or product.
4. Scalability across geographies and products: Adapt and expand effortlessly. Our system is scalable across multiple brands, products, and geographies. Drill down into specific views for detailed insights.
5. Continuous monitoring and feedback: We continuously monitor and generate new discussion drivers, capturing the latest trends and insights as they emerge. Our dashboards evolve with changing sentiments.

Business Applications:

1. Enhance brand value - Swiftly spot adverse trends in customer sentiment, enabling preemptive action to safeguard brand reputation
2. Optimize marketing expenditure - Curtail market research expenses with the precision of data-driven insights
3. Improve Marketing ROI - Craft purpose-driven campaigns that resonate with your target audience, ensuring every dollar spent yields substantial returns
4. Enhance customer experience - Deliver an exceptional customer journey by promptly identifying and resolving recurring pain points

The following Azure workloads have been used in developing the above mentioned solution:

1. Azure Machine Learning to train deep learning models on large datasets, manage model versions, and deploy them
2. Azure Data Lake Storage, serving as the underlying storage layer
3. Azure Databricks for large-scale data processing and analytics, supporting the ingestion, transformation, and analysis of vast datasets.
4. Azure Kubernetes Service to deploy and manage containerized applications