Home Big Data What’s Coming in AI/BI Dashboards – Fall ’24?

What’s Coming in AI/BI Dashboards – Fall ’24?

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What’s Coming in AI/BI Dashboards – Fall ’24?

Introduction

Since introducing Databricks Dashboards to common availability, significant progress has been made. Built upon cutting-edge technology, our AI-powered Business Intelligence (BI) Dashboards empower effortless data storytelling within Databricks, utilizing highly interactive visualizations, intuitive dashboards, and compelling narratives that uncover hidden insights from your enterprise data. Through a single, integrated platform, AI-powered business intelligence enables seamless consolidation of knowledge and analytics, empowering the entire organization to make informed, data-driven decisions with ease.

Adoption of the product has been exceptionally strong, boasting more than 3,000 prospects and 30,000 customers leveraging AI-driven Business Intelligence dashboards every week. The product is included, and as a result, you won’t need to secure any additional licenses to start using it immediately. By embracing an AI-driven business intelligence solution, organizations can gain a competitive edge by streamlining their analytics infrastructure, eliminating the need to duplicate efforts across various data sources, customer segments, and security protocols, thus ensuring seamless access to insights from a single, unified platform. Moreover, AI/BI dashboards seamlessly integrate with advanced analytics tools, allowing developers to quickly build analytical datasets, craft complex queries, and create intuitive data visualizations using natural language processing capabilities. With every Dashboard, users gain access to a conversational interface, powered by GenAI, allowing non-technical individuals to pose follow-up queries and derive valuable insights from their data.

Today, we’re thrilled to unveil a cutting-edge portfolio of innovative solutions that propel AI/BI Dashboards forward by several notches. Let’s dive in!

What’s New?

Multi-Web page Reviews

The integration of marks a significant milestone in enhancing narrative-driven insights within AI-powered business intelligence dashboards. Customers can now perform in-depth analyses across multiple pages, crafting a seamless narrative that unfolds naturally from one view to the next. This design enables users to efficiently explore large datasets without being overwhelmed by condensing complex information onto a single interface.

Multi-Page Reports

Past groups of multi-page stories effectively streamline their functionality by only updating the dynamic content presented on the current webpage. This targeted processing significantly minimizes loading instances, thereby delivering an exceptionally responsive experience as customers quickly access their dashboards.

Multi-Page Reports Dashboards

To craft a fresh web page within your dashboard, initiate the process by clicking the plus sign in draft mode, then integrate the desired visualizations, label the new page, and finally share the results for others to view.

Built-in Dashboard Genie

While exploring a dashboard, customers often encounter additional inquiries that arise in real-time, such as seeking information on gross sales by region for a specific product line or calculating the revenue margin based on sales and pricing data. Viewers can now ask follow-up questions instantaneously from the AI-driven BI dashboard. The Genie function simplifies data exploration by eliminating the need for additional SQL queries or custom visualizations – simply filter the results you’re seeking and Genie will respond with relevant insights from the available dashboard data.

Integrated Dashboard Genie

To enable this feature, authors merely need to switch on the Genie toggle upon publishing their dashboard. Viewers with access to the underlying dashboard tables can subsequently pose additional inquiries.

Integrated Dashboard Genie Dashboard

You can also open the linked companion Genie area to see previous chats and monitor utilization?

Curious about how Genie unlocks access to knowledge and AI for everyone in your network? Explore Genie’s features.

Level Map Visualization

Our latest innovation brings a groundbreaking visual sorting feature to AI/BI dashboards, revolutionizing the way users extract valuable insights from geospatial data. With the aid of latitude and longitude attributes, this visualisation empowers customers to chart data points on a dynamic map, making it particularly well-suited for companies tracking properties, events, or entities across diverse locations? Markets will be additionally segmented along a further dimension by incorporating colors to differentiate between classes.

Point Map Visualization

The map displayed is undoubtedly generated using the right-hand configuration panel. Drag the newly visible layer onto the canvas and adjust its size as needed. Subsequently, extract the latitude and longitude attributes from your dataset, and opt for an effective means to categorize purpose markers by color scheme.

Point Map Visualization Dashboard

Once your customised map has been crafted to suit your specific needs, effortlessly publish and share your tailored Dashboard with others for their convenience.

Dashboards integration with DABs

As part of our continued evolution, we are introducing support for effortless management of AI/BI dashboards through seamless integration with Databricks Asset Bundles (DABs). Databricks (DABs) empowers users to seamlessly package diverse data sources such as jobs, pipelines, Jupyter Notebooks, and AI/BI Dashboards, thereby enabling modeling, testing, deployment, and collaborative workflows within a single cohesive unit. Databricks empowers you to adhere to industry-leading software development best practices across your data, business intelligence, and artificial intelligence projects on the Databricks Platform. Additionally, they enable seamless supply chain management, efficient code evaluation, thorough testing, and streamlined continuous integration and delivery (CI/CD) for all of your intellectual property stored in code.

On the inaugural deployment of Dashboards and DABs integration, users can seamlessly convert existing Dashboards into bundled configurations and .lvdash.json Update records data, deploy, apply visual changes, and pull the revised files back into your local setup. Models are managed and integrated continuously into production pipelines using established CI/CD workflows, adhering to standardized DevOps best practices.

What are the latest trends in AI-driven BI dashboards? How do data analytics bridges (DABs) empower seamless integrations between disparate systems? Take a look at the resources and examples for guidance. We’ve further developed a utilization of the NYC taxi ride assessment dashboard to explore at your leisure.

New opportunities emerge when you explore different paths.

The enhancements to AI/BI dashboards build upon a solid foundation of continuous refinement in the product. Recently, our team has introduced numerous innovative features that significantly enhance the interactivity of our dashboards, streamline data sharing, and expand collaboration opportunities through enhanced integration capabilities. Let’s recap:

  • Customers can now engage in real-time conversations with dashboard components, transforming insights into dynamic experiences through highly responsive and interactive visualizations, featuring drill-down capabilities, hover-over effects, and alerts that keep issues at the forefront. What are the company’s plans to integrate emerging technologies into their operations?
  • Sharing dashboards with customers outside of the Databricks workspace has never been easier, providing seamless access to insights across your organization. Discover the ease of sharing AI and BI dashboards with your entire team.
  • Recently, we’ve expanded our capabilities to enable seamless integration with your daily routines, bringing AI/BI insights directly into your workflow where it matters most.

By combining these features, organizations can develop a more diverse and cooperative analytics capability, thereby simplifying the process of accessing and acting upon insights at any time and from anywhere.

What’s Subsequent for AI/BI Dashboards?

As the future unfolds, AI-powered Business Intelligence (BI) dashboards will feature a comprehensive roadmap packed with innovative solutions aimed at enhancing usability, streamlining administration, fostering seamless collaboration, and amplifying the depth of actionable insights. Several intentional improvements include:

  • Databricks users on Azure can now seamlessly collaborate with Entra ID clients, effortlessly sharing AI/BI dashboards without requiring prior setup or manual editing of complex SCIM configurations, enabling rapid and secure information sharing.
  • For enhancing visualizations with additional details. On maps, customers will have the ability to append supplementary metadata to coordinates, such as location identifiers or additional value sets.
  • To generate novel user-defined metrics and dynamic attributes by leveraging existing knowledge elements within your supply chain’s repository of knowledge.
  • To enable advanced model governance within AI/BI dashboards, facilitating superior traceability, lifecycle management, and collaborative development among developers.

By incorporating all the innovative features presented on this blog, these enhancements aim to further accelerate time-to-insight and boost productivity with knowledge and AI for every member of your team.

Are you eager to join the AI/BI revolution? Here’s a straightforward path to learn more:

* Start by familiarizing yourself with the basics of programming using Python, R, or SQL. Online courses like Coursera, edX, and Udemy offer comprehensive tutorials.
* Next, dive into data visualization tools like Tableau, Power BI, or D3.js. These platforms will help you communicate complex insights effectively.
* Explore popular AI/BI libraries like TensorFlow, PyTorch, or scikit-learn for machine learning tasks.
* Engage with online communities and forums like Kaggle, Reddit’s r/MachineLearning and r/ApacheSpark, to stay updated on industry trends.
* Collaborate with peers through hackathons or project-based learning initiatives to gain hands-on experience.
* Attend conferences, meetups, or webinars focused on AI/BI to network and learn from experts.

Thank you for joining our community and embarking on this journey to empower your data teams with AI-driven insights! What’s next for you in the realm of data-driven storytelling and business intelligence? We’re excited to share new developments with you! Visit our website and stay updated as we continue to unveil even more powerful features for Databricks AI/BI, making it an increasingly valuable tool for your work.

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