Atlassian Unveils Atlassian Intelligence: The Future of Collaborative Work Powered by OpenAI

Highlights

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• Atlassian introduces Atlassian Intelligence, an AI-powered virtual teammate
• Atlassian Intelligence automates repetitive tasks and workflows to help teams work smarter and faster
• Atlassian Intelligence provides smart suggestions and nudges to accelerate work and improve team performance and health
• Atlassian Intelligence enhances collaboration and communication by generating project reports, summarizing meeting notes, and facilitating feedback and recognition
• Atlassian Intelligence is customizable and adaptable to different team needs and preferences
• Atlassian Intelligence is currently in beta testing and will be gradually rolled out to customers in the coming months

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Atlassian, the maker of popular workplace collaboration tools such as Jira, Bitbucket, Trello, and Confluence, has announced a new deal with OpenAI, the artificial intelligence research company behind the ChatGPT chatbot. The deal will enable Atlassian to use OpenAI's generative AI models to power new features for its products, such as summarizing meetings, drafting tweets, responding to internal service requests and writing Jira code. These features will be part of a new offering called Atlassian Intelligence, which will be available at no extra cost to Atlassian customers.

OpenAI is a research organization that develops and provides access to state-of-the-art machine learning models for natural language processing (NLP) tasks such as language translation, text summarization, text completion, and question answering. OpenAI's most advanced system is GPT-4, which can generate coherent and relevant texts from complex prompts.

Atlassian Intelligence is a new virtual teammate that deeply understands how teams collaborate and provides insights and recommendations to accelerate work. Atlassian Intelligence leverages AI through internal models and its collaboration with OpenAI, a research organization that creates and publishes open source AI systems. Atlassian Intelligence is built into the Atlassian platform, the common technology foundation across all of its cloud products .

Some of the benefits of Atlassian Intelligence include:

• Automating repetitive tasks and workflows, such as creating tickets, assigning tasks, updating statuses, and more.
• Providing smart suggestions and nudges, such as recommending the best person to review a pull request, reminding team members of deadlines, and highlighting potential risks or blockers.
• Enhancing collaboration and communication, such as summarizing meeting notes, generating project reports, and facilitating feedback and recognition.
• Improving team performance and health, such as measuring team velocity, identifying bottlenecks, and providing tips and best practices for agile and DevOps.

Atlassian Intelligence is designed to work seamlessly with existing Atlassian tools and integrations, as well as third-party applications and services. Atlassian Intelligence is also customizable and adaptable to different team needs and preferences. Users can choose which features to enable or disable, adjust the frequency and tone of notifications, and provide feedback to improve the accuracy and relevance of the AI.

Atlassian Intelligence is currently in beta testing and will be gradually rolled out to customers in the coming months. Atlassian invites interested users to sign up for early access and provide feedback on their experience. 

What is generative AI and why is it important?

Generative AI is a type of artificial intelligence that can create text, images, audio or video based on prompts from a user. For example, a user can ask a generative AI model to write a blog post about a certain topic, or to generate a logo for a new brand. Generative AI models are trained on large amounts of data, such as text from the internet or images from social media, and learn to mimic the style and content of the data. Generative AI models can also generate novel and creative content that is not directly copied from the data.

Generative AI has many potential applications and benefits for various industries and domains, such as entertainment, education, health care, marketing and more. For example, generative AI can help create personalized content for users, such as music playlists, movie recommendations or news articles. Generative AI can also help automate tasks that require human creativity or expertise, such as designing logos, writing captions, composing music or generating code.

How will Atlassian use generative AI for its products?

Atlassian plans to use generative AI models from OpenAI to enhance its workplace collaboration tools with new capabilities that can help teams work more efficiently and effectively. Some of the features that Atlassian Intelligence will offer are:

1. Meeting summaries: Confluence users will be able to ask Atlassian Intelligence to generate a summary of a meeting based on the audio recording or transcript. The summary will highlight the main points, action items and decisions made during the meeting.
2. Tweet drafts: Jira users will be able to ask Atlassian Intelligence to draft a tweet about a project update or milestone. The tweet will be optimized for engagement and relevance based on the project details and audience.
3. Service requests: Jira Service Management users will be able to ask Atlassian Intelligence to respond to common service requests from employees or customers. The response will be tailored to the request type and context and provide helpful information or solutions.
4. Jira code: Jira Software users will be able to ask Atlassian Intelligence to write Jira code based on natural language descriptions. The code will be syntactically correct and follow best practices for Jira development.

What are the benefits and challenges of using generative AI?

According to Atlassian co-CEO Mike Cannon-Brookes, using generative AI models from OpenAI will enable Atlassian to build better products for its customers that they couldn't before. He said that generative AI is like a new set of art materials that gives Atlassian more possibilities and flexibility to create useful and innovative features.

However, using generative AI also comes with some challenges and risks that need to be addressed. One of the challenges is ensuring the quality and accuracy of the generated content. Generative AI models can sometimes produce content that is irrelevant, inaccurate or inappropriate for the context or purpose. For example, a generative AI model might generate a tweet that contains factual errors, grammatical mistakes or offensive language. Therefore, it is important to have mechanisms to monitor and validate the generated content before publishing or using it.

Another challenge is ensuring the privacy and security of the data used by generative AI models. Generative AI models require access to large amounts of data to generate content, which might include sensitive or personal information from users or customers. For example, a generative AI model might use data from Confluence pages or Jira tickets to generate summaries or responses. Therefore, it is important to have policies and agreements that regulate how the data is collected, stored and processed by generative AI models.

Atlassian said that it has taken steps to address these challenges and ensure that its use of generative AI is ethical and responsible. For example, it has signed an agreement with OpenAI that prohibits OpenAI from keeping or using any Atlassian customer data for training its models. It has also implemented quality checks and feedback mechanisms for its generative AI features to ensure that they meet user expectations and standards.

What are some other examples of companies using generative AI?

Atlassian is not the only company using generative AI, Microsoft, Google, and Amazon are some of the other big tech companies that have been exploring the potential of generative AI. The use of generative AI is becoming increasingly widespread across many industries, and is expected to continue to grow in importance as AI technology advances further.

Atlassian Intelligence is an exciting innovation that promises to transform the way teams work together. By harnessing the power of AI, Atlassian Intelligence aims to empower teams to achieve more with less effort, deliver faster with higher quality, and enjoy a better work life balance.