Sia - the digital AI employee on your team

Cognitive insights & recommendations to AI-power your teams within your collaboration & messaging platform

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INTRODUCING

Sia is a powerful cognitive engine by Opentopic that leverages the Artificial Intelligence (AI) of IBM Watson and our own Opentopic Technologia Lab, enabling collaboration environments and professionals to better understand the deluge of public and private data coming at us every second of our professional life.

Simply install Sia into your collaboration or messaging platform and let her join your sales, marketing, product, innovation or communication teams. When they are trying to understand a complex set of data to deliver a better result, Sia will simply chime in with insights, ideas and recommendations.

Sia allows you to analyze any kind of public or private source of unstructured data to unearth meaningful insights hidden within. It is these hidden insights, brought down to a human, behavioral, emotional (aka cognitive) understanding that empower you to personalize at a level and scale previously thought impossible. Our machine learning technology adapts and gets smarter continuously to deliver ever improving results.

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POWERING SOME OF THE WORLD’S MOST INNOVATIVE BRANDS

Sia - your AI team member

Add cognitive intelligence to your collaboration tools

Sia with Watson integrates with enterprise collaboration tools to help provide greater insights through knowledge hubs, and our interactive chat bot powered by IBM’s Watson. With Sia for Collaborations you can:

  • Deliver cognitive business intelligence on third-party sources with your teams
  • Enable your sales & marketing teams with cognitive insights products, brands, people or companies right within their workflow
  • Personalize assets and hubs around topics, events or products

We currently integrate with:

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At a glance

1. Understand and analyze

Feed Sia with Watson your own unstructured data or leverage Sia with Watson’s corpus of 300,000+ third-party sources.

Using Natural Language Processing and Taxonomy capabilities

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2. Recommendations

Predict the assets that will guide the customer down your buyer journey.

Using Sentiment Analysis, Concept Expansion, Relationship Extraction, and Personality Insight APIs

3. Adapt and learn

Focus on achieving a precise campaign goal and optimize your strategy in real-time.

Using transaction goals, leverage Machine Learning to help your campaigns get smarter

Sia brings AI to your team

Gain cognitive insights

  1. Understand your own, hidden data: Use your existing marketing, campaign, product or customer unstructured data to learn about your ideal audience, segment continuously and how to improve engagement.
  2. Leverage Sia’s cognitive engine to uncover valuable insights: Unlock deep, cognitive insights through leveraging Sia’s proprietary AI and cognitive engine to discover sentiment, personality, behaviours, relationships, concepts and attributes that were previously hidden.
  3. Recommendation engine – make the data actionable: Extract the data via Sia’s recommendation engine in a way that allows you to take action. This may be via an RSS feed, through auto-publishing to a CMS, or via an API integration.
  4. Track results and get smarter: Set up a transaction goal to identify successful outcomes. These results are fed back into Sia’s cognitive engine for learning and to make better recommendations going forward.

Create smarter strategies through insights

  1. Monitor unstructured data sources: The Sia data pool monitors up to 300,000 sources including news, social media, and a number of digital platforms. Choose as few or as many as you want. Or add your own.
  2. Leverage Sia’s cognitive engine to uncover valuable insights: With IBM Watson and Opentopic’s proprietary technology, understand and predict the most engaging assets that will guide the customer down your buyer journey.
  3. Understand and segment assets to engage your audience: Once you have segmented your audiences, understand what is driving engagement and use these insights to guide your strategy.
  4. Automate publishing with machine learning: Create publishing rules for automated asset distribution via RSS feed, CMS integration or via an API. Set up transaction goals to enable machine learning.

Create hyper-personalized smart campaigns

  1. Identify your customer engagement variables: Use either existing customer data and/or custom unstructured data sources to identify your defining customer variables and attributes.
  2. Analyze unstructured data: Leverage Sia’s cognitive engine to analyze customer and user data to enable personalized recommendations that are most likely to achieve your defined transaction goal.
  3. Hyper-peronalize and segment your communications platforms: Create personalized experiences based on Sia’s recommendation engine. Tailor your messaging through integrating Sia’s recommendations with your digital platform via RSS, CMS integration, or via an API.
  4. Automate publishing with machine learning: Automate your communications via Sia’s auto publishing feature. Track interactions and create campaigns that get smarter overtime, based on defined transaction goals.

How Sia With Watson can help build smarter campaigns

Smart campaigns are driven by deep, cognitive insights that produce actionable data, allowing you to personalize at scale. We have partnered with a number of incredible companies; check out some of our case studies below, or request a demo to see how Sia can work for you.

VIEW CASE STUDIES

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