It is used to enhance user experience in an e-commerce setting. By leveraging data on user clicks, browsing behavior, and past interactions with the platform, we can create models that enable personalized product recommendations. These models can identify products that align with the customer's interests and preferences, thereby improving the chances of suggesting items that are highly relevant to the individual's needs.
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Exploring the pros and Cons of IBM watson : A complete overview
What do you like best about the product?
IBM watson's advaneced anaytics tools are really good which allow us to unravelintricate patterns and take impriotant decisions for business.
Anaother good thing about this is its seamless data integration.
This also provides collaborative environment which help in increasing efficiency in team. Overall its a very rich tool.
Anaother good thing about this is its seamless data integration.
This also provides collaborative environment which help in increasing efficiency in team. Overall its a very rich tool.
What do you dislike about the product?
Initially I found this really difficult to learn and this is something which can be worked upon like its not thatb easy to learn.
There were some cases and situations when we faced a lot of difficulty integration couple of data sources. And last but not the least is that this can be used for some specific situations but can not fit directly into complex business problems.
There were some cases and situations when we faced a lot of difficulty integration couple of data sources. And last but not the least is that this can be used for some specific situations but can not fit directly into complex business problems.
What problems is the product solving and how is that benefiting you?
Its NLP services are too good and we used this in lot of projects but this was really helpful in our project of customer calls data for loaylty team.
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IBM Watson : A simplified AI solution
What do you like best about the product?
IBM watson offers extensive suite for Cognitive computing, NLP, ML-AI, data analytics, Assistant service and Languge models and translations.
Its easy to use and is perfectly suitable for business needs which doesn't need for a seperare development team to use.
This product is build with lot's for expertise from IBM which started from 2007.
It offers powerful capabities which suits modern data needs and it offers wide support for API & SDK which make interactions easy.
Its easy to use and is perfectly suitable for business needs which doesn't need for a seperare development team to use.
This product is build with lot's for expertise from IBM which started from 2007.
It offers powerful capabities which suits modern data needs and it offers wide support for API & SDK which make interactions easy.
What do you dislike about the product?
There are quite some customisation and integration challenges which is not so easy. Also, it needs continuous trainings for the the staff to utilise the platform potentially.
What problems is the product solving and how is that benefiting you?
NLP for building end users service automation services, Watson can be delegated assistant in medical and other industries.
Data Lake house
What do you like best about the product?
Great solution if you want to access all company data in one place (hub)
Ability to access structured, semi-structured and unstructured data
Ability to access structured, semi-structured and unstructured data
What do you dislike about the product?
At the moment I can't say anything negative. So far it is meeting my expectations.
Maybe IBM should make more efforts to access more clients.
Maybe IBM should make more efforts to access more clients.
What problems is the product solving and how is that benefiting you?
The main problem that the tool solves is being able to access data easily (both data from a data warehouse and file type data).
On the other hand, it has several execution engines (spark and presto), they promise more engines in the future
On the other hand, it has several execution engines (spark and presto), they promise more engines in the future
A highly robust and well-documented platform that simplifies the complex world of AI
What is our primary use case?
How has it helped my organization?
The primary advantage lies in the ability of AI to create value across the entire spectrum of a company's operations. The ultimate goal of employing AI is to generate value, support business growth, and identify opportunities for product enhancements and increased sales. It creates fresh sales opportunities and contributes to revenue growth. The benefits extend to discovering uncharted customer interests and needs, often hidden from plain view, which can lead to the introduction of new products and expand market reach.
What is most valuable?
It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements. The usability of Watson Studio, including the creation of notebooks and seamless data integration, is remarkably user-friendly and straightforward. It essentially provides an all-in-one enterprise tool that offers a comprehensive perspective on data modeling, tracking, and processing.
What needs improvement?
The main challenge lies in visibility and ease of use. Providing training sessions can be immensely helpful in helping users navigate and understand the tool's potential. This approach would empower users to explore and make the most of the tools and technologies at their disposal. Another area where IBM could enhance its offering is by providing more visibility to end users regarding the vast potential that Watson offers.
For how long have I used the solution?
I have been working with it for four years.
What do I think about the stability of the solution?
It is exceptionally stable, and my experience with it has been highly positive. It's a robust product that performs very well.
What do I think about the scalability of the solution?
It offers a wide array of products that can scale both horizontally and vertically, making scalability a robust aspect of its offerings.
How are customer service and support?
The support is exceptional and stands out as a significant advantage. Their communication is highly effective, whether it's about updates, patches, or changes in terms and conditions. It keeps clients well-informed about the services they're working on, and their communication is so comprehensive that they even share information about topics that may not directly pertain to my work but are relevant to me as a client.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
The Watson ecosystem is undeniably potent, and it's fascinating to observe its evolution in the realm of artificial intelligence. When contemplating the latest trends in AI, such as the significant advancements in models like GPT, it's intriguing to find that Watson had already ventured into these areas, and the capabilities are undeniably robust.
How was the initial setup?
The initial setup is relatively simple and easy to get started with. It can be challenging for newcomers to fully grasp the tool's complete potential, resulting in missed opportunities for both personal and business growth. While the setup is straightforward, there's room for improvement in terms of guidance on how to progress from basic setup to more advanced usage. It would be beneficial to have a clearer path for users to transition from simple configurations to utilizing more complex features.
What about the implementation team?
The time required for implementing the solution can vary based on project requirements. It typically begins with understanding a client's request and translating it into a feasible solution. Once it is defined and approved, the actual implementation in the cloud is quite straightforward. Templates and resources are readily available, and you can work efficiently with them. Moving from the development phase to production can be time-consuming, mainly due to the need to meet various quality standards.
What was our ROI?
A quick time-to-market is a crucial aspect of any solution you introduce, considering both the initial cost and the return on investment. Increasing your sales or lead-to-cash conversion rates by even a small percentage, whether quarterly or annually, can substantially offset the costs associated with cloud investments. In general, the ROI tends to be positive when evaluated in this context.
What's my experience with pricing, setup cost, and licensing?
The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use. For more complex workloads, such as running deep learning AI models, the cost structure might not be as competitive when compared to other cloud service providers.
What other advice do I have?
I highly recommend it and I would strongly encourage is for users to explore its full potential across various use cases spanning industries like retail, finance, manufacturing, healthcare, telecommunications, and more. The versatility it offers is truly remarkable. For instance, in the financial sector, you can leverage Watson for tasks like feedback analysis and constructing a fraud detection pipeline. It facilitates interactions with real-time data to prevent credit card fraud and other illicit activities. It is incredibly powerful but comes with a steeper learning curve to unlock its full capabilities. I would rate it nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
IBM
A reasonably priced product that is reliable and scalable at the same time
What needs improvement?
The solution's interface is very slow at times. The interface of the product needs improvement.
I wouldn't like to see any improvements in the future since it is an already good product in the present.
For how long have I used the solution?
I have been using IBM Watson Studio for two years. I am an end user of the product.
What do I think about the stability of the solution?
It is a very stable and reliable solution.
What do I think about the scalability of the solution?
It is a scalable solution.
How are customer service and support?
The solution's technical support depends on the support plan one opts for, and our company currently has a basic support plan. I think that my company gets an answer within a day of contacting the product's support team, so it is not bad. If you want real-time support, then it does cost money. I rate the technical support an eight out of ten.
How would you rate customer service and support?
Positive
What's my experience with pricing, setup cost, and licensing?
IBM Watson Studio is a reasonably priced product.
What other advice do I have?
I am satisfied with the overall product.
I rate the overall product an eight out of ten.
A stable and scalable tool that helps to conduct analysis process
What is our primary use case?
I use IBM Watson Studio to analyze personal resumes. In general, we use the machine to analyze resumes.
What is most valuable?
With the solution, it is easy to create a machine-learning model. The solution's UI is helpful since we had to work on Microsoft Excel or a CSV file earlier.
What needs improvement?
From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment are separated, then it would be good. I would like them to be one and offer users a non-separated deployment phase.
From an improvement perspective, I want IBM's technical support team to provide more specific answers to queries.
For how long have I used the solution?
I have been using IBM Watson Studio for three years. I don't remember the version of the solution.
What do I think about the stability of the solution?
Stability-wise, it is a great tool.
Around ten people in my company use the solution.
What do I think about the scalability of the solution?
It is a scalable solution.
IBM Watson Studio is an extensively or regularly used solution in my company.
How are customer service and support?
I have contacted the technical support team of IBM.
How was the initial setup?
The initial setup of IBM Watson Studio is complex.
Once a person gets used to the deployment process of IBM Watson Studio, it doesn't take much time for them to deploy it in the future. When getting involved in the deployment process for the first time, there might be many things that one needs to know.
The solution can be deployed in three to six months.
Only one person can take care of the solution's deployment and maintenance processes.
What about the implementation team?
I can do the deployment process without help from those not part of my company.
What's my experience with pricing, setup cost, and licensing?
IBM Watson Studio is an expensive solution.
What other advice do I have?
I recommend the solution to those who plan to use it.
I rate the overall tool a nine to ten out of ten.
Though the tool provides exclusive features to run Python codes in a certain environment, it needs to improve support
What is our primary use case?
It was used for some basic purposes because all I did was use Jupyter notebooks to run codes on the Snowflake environment. This was done by me at my previous job. I had just started using Jupyter notebooks to run Python codes on Snowflake data warehouses.
How has it helped my organization?
I was really more on the engineering side of things. The data scientists built certain models around it. So that, I guess, was a very big improvement.
What is most valuable?
For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks. Also, I think the data scientists used it to train their models. I am not the biggest user of it.
What needs improvement?
I think maybe the support is an area where it lacks. From my talks with the administrator, I think the support could be improved. My usage of it was limited to Jupyter notebooks.
For how long have I used the solution?
I have experience with IBM Watson Studio for about a couple of months, like three months. Also, I don't remember the version of the solution I was using.
What do I think about the stability of the solution?
Stability-wise, I rate the solution a seven out of ten.
What do I think about the scalability of the solution?
Scalability-wise, I rate the solution a six out of ten. However, I am not the best person to judge the solution based on scalability.
How was the initial setup?
The solution is deployed on the cloud.
What was our ROI?
I would think that my organization had seen a return on investment. However, I am not the best person to speak on its ROI.
What other advice do I have?
To those evaluating the product, I would say it's a good product to use from what I know, and it's not bad. Right now, we're just really making comparisons. I rate the overall solution a seven out of ten.
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