Gong vs. IBM watsonx Orchestrate

I think Gong is well suited when you are having a company that makes a lot of calls to clients or receives a lot of calls. It is very important. I think, from a business standpoint, to log all of the calls and conversations that are had to use in case anything ever comes up. Also, just to make sure that your employees are doing well on the calls, because you cannot monitor every single call personally. Having this as a reference point to listen to things that might be important versus not is awesome. it might be less appropriate if you are not really interacting a ton with the clients. If you are more so just doing business meetings, then it might not be needed. However, I do think it's a great tool overall because it provides the AI note recap from the calls and logs everything that might be helpful for any reason

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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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• Provides executive summaries for meeting notes and email follow ups.
• AI Briefs allow anyone to seek information on a particular customer in a matter of seconds.
• Scores calls such as EBRs or new business sales calls that can be used by management for coaching.
• Provides accurate forecasting and visibility to sales leaders.
• Theme spotter can be used to gather feedback and provide data to management for opportunities we continuously here from our clients.
• Accurately depict key points from conversations and allows for different brief themes to quickly get the information needed for teammates throughout the organization.

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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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• A history tracker (similar to Google Sheets/Excel) - it'd be nice to see WHO was changing certain fields and when exactly.
• Dark mode.
• A quick checklist when getting started to ensure I'm getting the most out of the platform (e.g., Gong Connect, Gong Import).

• 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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I don't make these decisions for our company, but I would highly encourage our use of Gong to continue. Gong has been very helpful in my sales role in terms of staying organized and on top of accounts, completing actions in a timely manner, and moving deals forward with better insights

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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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It does great for all the things I've mentioned. I didn't give it a 10/10 because I still think there is room to improve as far as improving the quality of the insights that are more actionable. I.e. this happened so you should think about doing this thing as a next step.

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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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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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I give them a 10 because, I have been using Gong for over a year now and have never had issues or concerns go un resolved in a day or two. Their communication is impeccable and their tech support is very hands on and prompt

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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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This is nothing something I'm able to answer

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Overall the implementation was simple.

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It stacks up in a different way. All of these companies try to do some feature that Gong does. Like Call recording, call analysis, AI discovery, Forecasting and Sales Activity tracking. Gong beats most, Otter.ai is a growing competitor though.

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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.

I was not involved with the process

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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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I was not involved with the process

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• I don't have specific metrics since this feature isn't used in my job personally, but I do know that our sales and CS teams use Gong with SFDC opportunities to help with forecasting closed won opportunities based on intent captured within the call.

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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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