APPLIED AI STRATEGIES

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DRIVE GROWTH WITH STRATEGIC AI BUILT ON YOUR DATA

The question isn't whether to use AI, it's how to use it effectively. SilverTech helps organizations turn their data into real business outcomes by putting AI and machine learning to work in ways that make a difference. This includes creating more personalized digital experiences, improving search and chat, and using predictive analytics to anticipate customer needs. With the right data strategy, you can leverage AI and machine learning to automate processes, uncover trends, and make smarter decisions at scale, today. It's not about chasing hype; it's about using the data you already have to work smarter and move your organization forward.

CORE CAPABILITIES

  • Data Modeling
  • Data Integration
  • AI Personalization
  • AI Analytics & Insights
  • Conversational AI
  • Site Search
  • Security Monitoring
  • Recommendation Engines
  • Custom AI & LLM Solutions
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LIVE CHAT: HOW AI-POWERED PERSONALIZATION TRANSFORMED INDEPENDENT BANK'S DIGITAL EXPERIENCE

Learn how Independent Bank transformed their digital experience with AI-powered search & personalization, achieving a 400% increase in business banking site traffic, 169% increase in total users, and 98% increase in sessions all in under 6 months.

DON'T JUST TAKE OUR WORD FOR IT

ADVANCING DIGITAL MATURITY THROUGH DATA AND MACHINE LEARNING

Fulton Bank partnered with SilverTech to elevate its digital maturity by unlocking the full potential of its first-party data. SilverTech merged demographic, transactional, and behavioral data with machine learning predictions to create dynamic, personalized web experiences. Using a phased approach, they delivered tailored journeys, targeted promotions, and next-best product recommendations. The enhanced data infrastructure now powers more intelligent, personalized engagement across all digital channels.

Robot hands holding mobile phone

GENERATIVE ENGINE OPTIMIZATION (GEO) VS. TRADITIONAL SEO: THE FUTURE OF SEARCH AND CONTENT STRATEGY

How does GEO align with SEO, and how does it differ? Check out our blog to find out how you should optimize your content for both traditional and AI-driven searches.

ARE YOU LEVERAGING YOUR DATA AND AI CAPABILITIES?

We can help you make the most of your data and today's AI capabilities. Ask us how you can get started today.

FAQs

AI-driven personalization analyzes customer data and behavior patterns to automatically deliver tailored content, product recommendations, and experiences to each visitor. SilverTech implements personalization engines integrated with your existing systems, trains models on your specific business context, and continuously optimizes performance to increase engagement and conversions across your digital channels.
Businesses use AI and machine learning to automate repetitive tasks, predict customer behavior, personalize marketing campaigns, improve customer service through chatbots, optimize pricing strategies, and uncover actionable insights from data analytics.
Conversational AI powers chatbots, virtual assistants, and voice interfaces that understand and respond to human language. Implementation involves integrating these tools for customer support, lead qualification, appointment scheduling, and 24/7 assistance. SilverTech develops conversational AI solutions trained on your specific business context and integrated with your existing systems.
AI-powered site search uses natural language processing and machine learning to understand user intent, handle misspellings, provide relevant results, and learn from user behavior. Effective implementation delivers personalized search experiences that improve conversion rates. SilverTech builds AI search solutions that continuously improve relevance across your digital properties.
Successful AI projects require quality data relevant to your objectives—customer transaction history, website analytics, CRM data, product information, user interactions, and behavioral data. SilverTech assesses your current data quality and availability, then designs a strategy that leverages existing data while identifying opportunities for enrichment where needed.

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