Appian vs. IBM Watson Discovery

Appian is well suited for the areas which involve a workflow. For Example: Consider there is a task and 3 teams are required to work on the task, with Appian we can create tasks for each team and monitor the comments and completion. Together with the integration capabilities, this tool can function in many areas. In our firm, we are using it to automate the workflows for our business teams and help them in capturing the OLA's and SLA's.

Incentivized

Whether using it as a standalone search tool, integrating with other IBM Watson products, or using the API to integrate with proprietary or third-party systems and applications, Watson Discovery addresses these and many other scenarios where document search is required -- understand- if here documents can be pdf, doc, txt files, websites, among other formats --, don't confuse Watson Discovery with EDRMS (Electronic document and records management system) software, Discovery goes further, allowing text search to be done within a context using natural language (NLU) and returning not only the search term but also insights and related issues. File indexing works very well, and training Discovery so that documents and technical terms are learned a bit of work, but it can be reduced by using some of the learning models already trained and available for use.

Incentivized

• Allows at a glance workflow documentation which assists in the need we have for information readiation.
• Drag and drop interface for workflow development greatly speeds our apps time to market.
• Using the advanced features of Appian, we are able to create working sites in a fraction of the time it would take to do so using "traditional" development.

Incentivized

• Help us analyse and extract useful data points and insights.
• Powerful API which is both fast and accurate.
• Can analyse almost every type of file including word, pdf, excel, txt etc.
• No need to hire anyone or a freelancer to extract the data.

Incentivized

• Search issues when type ahead and database search are used in the same field.
• Buttons implementation where user is require[d] to click on the button description - if clicks on the button outside that text - button will not work.
• Problems with using certain off-the-shelf performance tools like WebLoad or Neoload. That is because of different dynamic variables being used internally in Appian - which these tools are unable to correlate. We are still investigating using other tools like Jmeter to overcome dynamic correlation problem for performance testing.

Incentivized

• I believe AI should be more flexible about providing data. However, it's understandable that you need to provide the details you need in a more specific and detailed way.
• The interface could use more tweaking. Being new to the program, it was kind of hard to navigate.
• Luckily, there was a customized feature of the dashboard that I could set up, and having something that you know where you are placed always feels familiar and comfortable.

Incentivized

We recently renewed our license with Appian. We are convinced that its flexibility, relative ease of use, the support they provide, there mobile advancements and their general willingness and desire to see us succeed all contributed to our reason to renew our agreement with Appian

There are many differences between using Appian and using other programming languages. Additionally, there are many trade offs that have to be made and that have to be accepted for using Appian. In some cases, you give up control of one small area, but in others, it may open settings that are unavailable to a developer when using other program languages.

Incentivized

IBM Watson Discovery has the best user capabilities and easily transform business decision-making portfolio. The automation system saves time used in data analysis as opposed to manual research that consumes a lot of time. The visualization across the dashboard enables my team to interpret complex data and use it to make reliable marketing decisions.

Incentivized

Appian is one of the leading low code business automation platforms that support RPA, decision rules, case management, workflow automation, and machine learning all in a single bundle. But it is also harder to implement and replace the traditional business process.

Incentivized

Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.

Incentivized

As analyst I participated in a developer boot camp. At times it was hard to keep up but most of the time it made sense. Trainer took the time to explain and slowed pace down to answer questions etc.

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Very boring; hard to get through quickly, but rather effective in demonstrating the use of the platform.

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It was really seamless. SaaS in the true definition of the word. We logged on and started using the product. Very easy.

Incentivized

Appian compares favorably with other vendors in the space. It is strongest with business workflow automation and to create custom business applications. The tool base for coding is extremely straightforward and allows for faster coding and deployment. Handles very complex process flows and has the ability to discover new opportunities for automation.

Incentivized

To be entirely honest, in my review, I have used Elasticsearch in the past, but not in a way similar to that I am using Discovery, and I cannot honestly say that I can compare the two because I used Elasticsearch in infrastructure management and monitoring setup while using the ELK stack (Elasticsearch - Logstash and Kibana).

Incentivized

• Our IT automated procurement process has sped up time to get paid by a few days on every transaction
• Our approvals are more organized as a result of being put in digitally
• Managing our own tenant requires more than we have available, given the quarterly updates
• Since we have business-critical functions running in the platform, we have to thoroughly review every note of every update. Because of this we skip half of the updates since we don't have enough time to review these changes four times a year.

Incentivized

• IBM Watson Discovery has had only positive impacts on our overall business objective of providing quality customer service and timely resolutions for our clients.
• The use of this integration has made life easier for our customer service team, who can now resolve cases for customers quicker and easier.
• Our company prides itself on the service and expertise we're able to provide for our customers and IBM Watson Discovery has only made that task easier for our employees to perform.

Incentivized