Here we’ll discuss the pricing and features of IBM Watson Analytics.
IBM Watson Analytics is a multi-cloud AI platform that assists businesses in predicting future outcomes, maximizing staff productivity, and automating complicated procedures. It’s a collection of business-ready tools, apps, and solutions aimed at lowering the costs and barriers to AI adoption while improving outcomes and ensuring ethical AI use.
IBM Watson is designed to make it easier to use data from a variety of sources and to obtain greater value from AI in a shorter amount of time. Science, human-centered design, and diversity are all pillars of the platform. Machine learning and deep learning models may be created, trained, and deployed using data from organizations. Businesses may create intelligent business apps with more confidence by utilizing an automated and collaborative approach.
IBM Watson analytics allows users to automate their AI lifecycle and create advanced models. It provides reporting and integration tools to assist you to collect additional data. IBM Watson helps enterprises incorporate artificial intelligence into their applications and manage cloud data. Natural language processing (NLP) is a technology that analyzes speech for meaning and syntax before converting the data into useful replies.
Cloudera Impala, Microsoft Azure, MySQL, Oracle, PostgreSQL, PostgreSQL on Compose, Structured Query Language (SQL) Server, Sybase, Sybase IQ, and Teradata are among the databases that IBM Watson Analytics can query natively. More than a chatbot, Watson Assistant is a personal assistant. It understands when to look up an answer in a knowledge base, when to ask for clarification, and when to refer users to a human agent for extra help. Smarter AI is also available wherever the customer wants it because it can be implemented in any cloud or on-premises environment.
IBM Watson Analytics offers insights that may benefit companies in a variety of areas, including retail and health care. Detecting underlying patterns and connections in organized and unstructured data is undeniably beneficial. Companies can examine the variables that lead to business events and utilize the information to make better decisions in the future. Overall, IBM Watson Analytics is elegantly built to provide a simple user experience and a highly intuitive UI (UX). The suggestions are truly sophisticated, guiding even novices on the right path.
This will go a long way in firms striving for companywide data democratization, in which practically everyone in the organization uses data analytics in their job. It also moves people to deeper insights with ease, even if their data science abilities are minimal. High-level data scientists, on the other hand, may bypass the prompts and move directly to complicated querying and decision trees, avoiding the majority of the frustrations associated with “user-friendly” software.
That isn’t to suggest that IBM Watson Analytics is ideal or appropriate for every scenario. Its inability to handle real-time streaming data and analytics will be a huge disadvantage for some (but a non-issue to many others). If near-real-time is sufficient for your use cases and you have a mix of skill levels among your staff, you’ll find this tool to be more than capable.
There is a free trial as well as a free version with limited functionality. Those who are testing the system are immediately sent to the trial edition, which has a storage capacity of 1 megabyte (MB). At the end of the trial period, users can choose to pay or switch to the more limited free edition. The Plus model, which I evaluated, costs $30 per month per user and is effectively a free trial version with 2 gigabytes (GB) of storage and the ability to import bigger data sets.
The Professional edition is geared for corporate use, with more users, extensive collaborations, and data interfaces than the other models. The Professional edition costs $80 per month or $960 per year with 100GB of storage for each user.
1. Natural Language Dialogue
For productive conversational partners, IBM Watson Analytics provides a wide range of language processing algorithms. Users may type questions in plain English, and the system will respond with a natural language conversation to help them find what they’re looking for more quickly. The device is capable of converting both spoken and written text to audio.
2. Simplified Analysis
The platform employs automated analytical techniques to make the tasks of analysts in the data analytics process easier to understand. With the very minimum of needs, businesses may construct complex prediction models.
IBM Watson Analytics provides an automated predictive analytic solution that displays the driving results automatically. The software quickly recognizes what data it wishes to send via automation.
3. Automated Comparison
To discover possible areas for reconciliation, compare clinical reports to the EMR issue list and documented diagnosis.
4. User Alerts
The user is notified of any potential differences in the problem list, including primary and incidental findings, allowing the physician to review and decide on the appropriate next step.
5. Watson Discovery
Watson Discovery is a sophisticated AI capability that allows users to visually categorize content in documents and add structured knowledge.
6. Dashboards And Visualization
Users may engage with data in real-time and collaborate on visualizations with IBM Watson’s customizable dashboards.
With single-click exploration, data discovery and analysis via visualization are possible.