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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

We're quite proud of our project with AnyCompany Networks, where we overhauled their security systems to bolster their data protection capabilities. We use a range of project management tools, including Product-1 and Product-2, which allows us to customize our approach to each client's needs.

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How to Build a High-Performance Team

Hacker Earth Developers Blog

Collaboration And Teamwork Use collaboration platforms such as project management software to secure team collaboration and streamline tasks. Case Studies And Examples When aiming to build a high-performance team, examining real-world examples provides critical insights.

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The best way to start an AI project? Don’t think about the models

TechCrunch

With so many projects failing, or worse, being inaccurate, chances are that many of these companies are making the same mistakes. Start off on the right foot The process of AI development suffers from poor planning, project management, and engineering problems. This step exposes the core of the AI process.

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The Importance of Assessing Interpersonal Skills in Recruitment

Hacker Earth Developers Blog

Case studies: Present a real-world problem requiring teamwork to resolve. Example: A candidate interviewing for a DevOps role might have a casual discussion with developers and project managers to gauge their ability to align different priorities.

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Article: Using Generative AI in Software Project Management to Bridge Domains and Accelerate Productivity

InfoQ Culture Methods

Gen AI Assistants play to the strengths of professionals with a breadth of experience, particularly software developers who can describe what they want the LLM to complete and critically evaluate the result. These tools enable us to swiftly cross divides of domain language and scale large repetitive tasks down to interesting ones on a human scale.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Common features of modern data science platforms include: support for notebooks and open source machine learning libraries, project management (collaboration and reproducibility), feature stores (for storing and sharing useful variables), and model visualization. Case studies. Data Integration and Data Pipelines".

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Productivity platform Loopin helps work teams wrangle meetings

TechCrunch

During meetings, team members use various note-taking apps to write down takeaways and next steps, then share those over email and Slack and create tasks in a project management apps. As examples of what Loopin can do, Varma gave a few case studies.

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