Tableau Introduces Three Generative AI Assistants, Expands Platform Capabilities

Tableau, a Salesforce subsidiary and data analytics business with headquarters in Seattle, has released its first generative AI helper, with two more to come in the next several weeks.

Tableau, a Salesforce subsidiary and data analytics business with headquarters in Seattle, has released its first generative AI helper, with two more to come in the next several weeks. With this move, Tableau takes a significant step forward in its artificial intelligence strategy and establishes itself as a leader in AI-powered analytics products.

Tableau released its Einstein Copilot for Tableau: Prep to the public on July 10, 2024. With the help of this technology, users may explain computations in plain English, which the AI will subsequently analyse and provide the necessary formulae. Two further AI helpers, Einstein Copilot for Tableau: Catalogue and Einstein Copilot for Tableau: Web Authoring, will be made available by the business by the end of July and August, respectively.

Doug Henschen,VP & Principal Analyst at Constellation Research, commented on the timing and scope of Tableau’s AI offerings: “Tableau is going GA later than some of its competitors, but capabilities are pretty much in line with or more extensive than what you’re seeing from others.” Henschen noted that Tableau’s AI capabilities, which extend to data cataloging, may surpass those of other analytics specialists.

Once available, the Einstein Copilot for Tableau: Catalogue will let users create descriptions for tables, workbooks, and data sources with just one click. When the Web Authoring assistant launches in August, customers will be able to utilise Tableau Cloud Web Authoring to explore data using natural language.

Mike Leone, Practice Director at Enterprise Strategy Group, expressed optimism about the potential impact of these tools. “Whether for an expert or someone just getting started, the goal of Einstein Copilot is to boost efficiency and productivity,” Leone stated. He particularly praised Tableau’s approach of providing distinct AI assistants for different stages of the data and AI lifecycle.

Together with a number of other noteworthy additions, Tableau’s 2024.2 platform version also contains these AI helpers. The option to integrate Tableau Pulse into work apps is one such feature that enables users to receive AI-powered insights without ever leaving their core work settings. “The ability to embed Pulse insights within the day-to-day applications promises to open up new possibilities for making insights actionable for business users,” Henschen said, emphasising the value of this capability.

Multi-Fact Relationships is another significant development; according to Leone, it’s “a fascinating area where Tableau is really just getting started.” Users may associate datasets with common dimensions with this feature, which might enhance the context and accuracy of AI models. The cost of these additional AI features is yet unknown, though. Given the substantial processing power needed for generative AI features, they will only be offered as part of a premium package known as Tableau+.

Henschen noted, “Customers will want to understand the cost implications of adding these new capabilities. The reality is that GenAI is compute intensive. I have no doubt that customers will have to pay for these capabilities sooner or later in one way or another.”

With this release, Tableau joins other major players in the data management and analytics field, such as AWS, Domo, Microsoft, and MicroStrategy, who have already made similar AI-powered tools available. Other companies, including Qlik and Alteryx, have announced plans to develop AI assistants but have not yet moved them out of preview.

The arrival of these AI-driven solutions may be able to solve a persistent issue facing the analytics sector. Research has indicated that a mere 25% of workers routinely handle data, mostly since analytics systems are intricate. The goal of these AI assistants is to make data analysis easier to understand and more available to a wider group of users in businesses.

The data analytics market looks to be about to undergo a big shift as Tableau keeps releasing its AI assistants. Tableau and its clients will probably be concentrating a lot of attention on how these tools affect data literacy, decision-making procedures, and general business intelligence in the upcoming months.

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Picture of Anshika Mathews
Anshika Mathews
Anshika is the Senior Content Strategist for AIM Research. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
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