With the mantra, “A New Day for Data,” the theme of Salesforce’s Tableau conference in Las Vegas this week, the Salesforce Tableau data analysis and visualization platform powers the power of generative AI, and Tableau Pulse to make finding data less challenging Launches.
Image: Timon / Adobe Stock
Tableau, the two-decade-old data platform that Salesforce acquired for $15.7 billion in 2019, will get enhancements that allow for data automation, predictive analytics based on user preferences, adding generative artificial intelligence to large language models Thank You for. New features include:
- Tableau GPT Provides access to AI-powered analytics to make data digestible for a wide range of users, regardless of technology or data analysis savvy.
- Tableau PulseAn instance of Tableau GPT will provide automated insights and a personalized analysis experience to business users and data consumers.
What is Tableau GPT?
Tableau GPT, which was built on the original LLM that Salesforce built for its CRM AI platform Einstein, lets users query Tableau with natural language requests for a wide range of data visualization and analysis. It can be integrated with other Salesforce platforms such as Slack (Figure A,
Figure A
Image: Salesforce. Tableau GPT integrated into Slack.
When Tableau was a startup out of Stanford two decades ago, data visualization consisted of tabular reports, said Francois Ajenstat, Tableau’s chief product officer.
“These were static and boring. The world of data has changed in the last 20 years and is being used in completely new ways.” It became interactive. We have an opportunity to transform data again and empower more people to access it.”
More Must Read AI Coverage
He added that less than 30% of people in organizations have access to data. Salesforce’s own research states that 41% of business leaders lack an understanding of data because it is complex or not accessible enough and 67% of business leaders use data to adjust pricing to economic conditions, such as inflation. are not doing.
“There are challenges in bringing data analytics to the whole organization,” Ajenstat said. Reaching a wider set of consumers requires not just dashboards but the ability to deliver data in a variety of ways, he said. “It has to be easy and familiar.”
What is Tableau Pulse?
Salesforce said Tableau Pulse uses AI to personalize work experiences, employing Tableau GPT to deliver analytics on user-customized metrics, insights in natural language and visual formats.
This will include a new suite of tools that infuse AI throughout the platform, making inquiry data “feel more like a conversation,” said Pedro Arellano, SVP and GM at Tableau. Tableau GPT combines Salesforce’s proprietary model, which is surrounded by security and governance, he said.
Arellano said Pulse is a reimagining of the Analytics experience that expands how people engage with Tableau.
“It’s not just exploring data anymore. It’s also communicating and consuming it. Not just expressing through visuals, it’s language.” Arellano calls it “a personal guide to your data.” that knows the goals you are trying to achieve and helps you reach those goals.”
GPT and Pulse are designed to scale, Arellano explained. “With a lot of elasticity and flexibility and a lot of breadth and reach, and that Salesforce is infusing a larger ChatGPT-type language model across the company’s services and platforms,” he said (Figure B,
Figure B
Image: Salesforce. Example of Tableau Pulse Report.
“You’ll see it in Slack and Pulse,” he said. “Because we are where we are today, taking analytics out of a strict analytics tool to reach those seeking insights.”
Carolyn Sherman, VP of Product Management at Tableau, said the goal of the new technological innovations is to give people a new way to connect with CRM and collaborate with data. “Tableau GPT with Slack and Pulse is a trifecta for people who haven’t been able to optimize data for everyday work,” she said.
Generation AI? yes but with caveats
Salesforce survey finds 57% of senior IT leaders are excited about generative AI, 80% see it as a boon for data understanding; 75% said they planned to implement generative AI in the next 18 months.
But 71% said they believe generative AI will introduce new security risks to their data and 66% said their employees do not have the skills to successfully leverage generative AI. Seventy-five percent of those surveyed said they believe that companies need accurate, complete and integrated data for generative AI to work.
Source