Airtable Inc., creator of a no-code platform for building applications and workflows, is expanding its investment in artificial intelligence with new tools that enable any organization to take advantage of AI.
New products announced today include App Library, a new tool for deploying custom-developed applications that integrate AI models, and workflows that help enterprises integrate large datasets from platforms like Databricks and Snowflake. Includes HyperDB, which paves the way for creating.
Airtable sells a cloud-based “digital operations platform” that allows teams to store, organize, and collaborate on structured data. It acts as a real-time database and is often referred to as a “spreadsheet on steroids.” Known for its user-friendly interface, anyone can launch a database in minutes to store, organize, and collaborate on everything from employee directories to product inventory to marketing campaigns. Even without knowledge of structured query languages. In fact, you don’t even need to know what SQL means.
The company launched its Airtable AI tool last year, and for the first time began exploring what generative AI can do. The company said at launch that the idea is to allow companies to easily integrate generative AI into no-code applications and business workflows created using the company’s platform, even without technical skills. said.
In an interview with VentureBeat, Airtable co-founder and CEO Howie Liu said that the new features announced today build on that release, which is the foundational large-scale language that powers generative AI. He said the model was designed to make it more accessible to everyday employees.
“There is too much emphasis on just the hard technology and too little emphasis on ergonomics and how to actually utilize LLMs today,” he said.
Airtable says it is trying to strike the right balance between application standardization and customization with its new tools. To that end, App Library provides a simple framework for building standardized business apps with built-in AI capabilities that can be customized by different business teams.
Liu compared the App Library to a “Lego kit” and said it’s all about making LLM technology more accessible to citizen developers.
As for HyperDB, it makes it easy for users to create customized AI apps and workflows that leverage Databricks and Snowflake data. “Managers maintain data governance at all times and ensure compliance with industry standards,” the company said in a blog post. “With HyperDB, you can bring over 100 million records into Airtable and operationalize that data across your organization. The result? More powerful decision-making driven by critical cross-functional information. ”
Additional features announced today include Org Branding, which allows users to customize Airtable with their own branding and logos, and App Sandbox, which allows users to create, test, and customize no-code applications in a secure environment before deployment. is included.
The company said one of its customers, which it describes as a “major streaming company,” is already using the company’s new tools to create an application that automatically categorizes content genres. According to Airtable, the company has saved its team approximately 280 hours per week.
With a focus on AI and application building, Airtable accelerates its transformation from its origins as a simple, collaborative spreadsheet tool. As the company’s products become more powerful, they compete with competing tools from large companies such as Microsoft Corp., Salesforce Inc., and ServiceNow Inc. that offer similar capabilities for creating applications and workflows that integrate with AI. competition is increasing.
To succeed, companies need to ensure that their innovations deliver the productivity improvements they claim they can, without causing headaches for employees. And it needs to do this in a more cost-effective way than its competitors.
Image: Air table
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