IBM watsonx Orchestrate vs. Verint Intelligent Virtual Assistant (IVA)

For starters, most enterprise-grade organizations and Customers struggle to align their current IT estate and landscape with fast-moving, agile, AI-driven automation and development initiatives. All tooling, governance, structure, and frameworks available to support and facilitate the incorporation of this new but still cross-system technology layer are essential to minimize the risks of data leaks, unauthorized access, unbridled token consumption, and other issues. For some businesses and organizations with a handful of systems or a smaller footprint, the platform could be a bit too complex.

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The IVA is very well suited to handle routine questions and basic actions that would typically require customer support. It may be a little more challenged handling edge cases but in those instances we have found it provides an easy transfer to a live agent

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• New and improved natural language processing yielding better results helps the assistants understand the intention behind the query.
• Preserves context of communication, allowing the customers to establish inquiries on the website and continue on the mobile app without having extra informational input.
• Intelligent conversations mean that complex paths that are branched based on the user's inputs allow for a much more natural flow of the conversation than fixed scripts.

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• Use of Acknowledgment base and AI engines.
• F&Q.
• Automate process such as consults, modifications and cancel reservations.
• Execute triggers for notify customer reservations.

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• I think that it needs to be able to integrate better with the knowledge catalogs. It currently provides a default database, which isn't quite large enough for enterprise use. We can connect that then to an external source, but it'd be nice if we could able just to instantiate one straight away.

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• There is minimal documentation around what we can and can't do for IVA
• IVA seems to be a newer product so this is difficult when trying to implement new things
• IVA has a lot of non-Verint friendly terms (Think Prompt, vs. answer or Intent/Alternate vs. context).

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Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. Action flow and dialog flow we are currently in chatbot.

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While I enjoy the IVA product, there is still some fine-tuning of the platform that can be done. There are some nuances to the Verint platform, which can make it difficult to start quickly. We thought business users would be able to easily manage the work needed within the IVA platform for our business; however, with how complex we want to make the experience, that was not possible. We quickly realized we needed more support than just our business users, who were not familiar with how to add API information into a conversation flow. This is why we expanded to others within our business to support the tool.

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With the growing use of AI and chatbots, it's very easy to use, and the conversational language makes it easier than keyword searches in a document. The contextual language processing is impressive. It's easy to integrate into our internal portal. The use of this tool would depend on each company's security and data sensitivity.

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Based on my experience. Once the client is familiarize with the AI and of course the AI company solution has been implemented correctly. We able to offer the customer a best service.

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To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.

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We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).

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Excellent course material.

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Overall the implementation was simple.

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Strong ITSM and HR workflow automation with governance, ServiceNow excels in IT/HR but lacks flexibility for cross-departmental use cases such as demand planning, finance close, or procurement analytics. Orchestrate supports a broader set of enterprise functions beyond IT service automation. So, watsonx is a better approach than any other available tool in the market as of now, based on the use cases I've encountered and my efforts to understand the essence of the service.

Verint Intelligent Virtual Assistant had more features and functionality than the Genesys product as well as customization and further options for internal system integration to our existing on-prem systems. In addition, we also had a rapport with other Verint products and were more familiar with their AI capabilities, making them the obvious choice.

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From past 3+ years I am using IBM Watson in our current project easily can implement and manage and monitor user how their using. Is there and update also just update dialog is just enough to change no need to touch any other templates. Multiple language will support, and action and dialog speak recognize chatbot we can create as per client requirement. Overall, as of now good experience with IBM Watson.

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• As a very small team WxO give us more time back and handles manual tasks.
• WxO helps us reduce manual errors (and the time it takes to find and resolve.)
• WxO, as a task scheduler and reminder system, helps us not forget certain key events with time-dependent requirements.

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• Positive - Containment
• Negative - Customers animosity to bots
• Positive - Reduction of Calls
• Negative - Mishandled calls receive greater scrutiny than agents

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