You’ve probably already heard of the rise in artificial intelligence (AI) and machine learning (ML) across many industries and applications. But, what about the application of AI and ML to agile development? Of course, IT is already well aware of the benefits of Agile. Advantages like faster time to market, increased adaptability, massive productivity improvements and the ability to deliver a more customer-centric product have made Agile the de facto standard among development teams.
We striving to deliver better products faster to meet customer needs in the marketplace and stay ahead of the competition. Our company has utilized the principles within the Agile Manifesto to deliver faster time-to-market than traditional, or linear development models.The practical application of artificial intelligence and machine learning will become a standard way of life across engineering, testing, and broader portfolio management in the near future. Imagine how much faster your time to market could be if you didn’t have to rely on people or traditional software systems to identify dependencies within your code or between your teams? What if you could accurately predict product or software delivery schedules?
We must create a way to dynamically visualize, plan and track work across their entire portfolio. Delivering products to market with the speed and precision customers demand means everyone across the organization needs access to the right data, at the right time, in a format to make insights accessible and actionable. By connecting teams—from top to bottom—around a clear strategy and shared understanding of the work, organizations can transform their businesses into engines of innovation and speed.
Having disparate teams working with independent team-level tools, without roll-up capabilities doesn’t enable business to run any faster or harder. It actually introduces a new problem or problems into the mix of delivering rapid customer value. It forces team members and leaders alike, to spend quality time trying to understand what they are building, how the strategy is connecting to the execution of the work and understanding why their plans are not yielding the anticipated results. Without clear visibility, organizations are essentially flying blind when it comes to how investments are tracking and if any dependencies or risks could jeopardize a product or software release. The (immediate) future of agile planning and delivery as well as portfolio and project management, lies in clear, clean and customized data reporting and manipulation. If organizations can get their data in a centralized system of record, and get all of their teams (agile, or not) to standardize on their program, project and work hierarchies the resulting data schema will reveal and enable better business insights. A well-structured, and centralized data repository is not just important for more streamlined reporting today, it’s also essential for any business looking to implement more advanced capabilities like self-service business intelligence (BI), or machine-learning based predictive analytics, AI and automation. As leaders, that is where we need to go to deliver the “now” that our customers are demanding.
Predictive analytics to power unconventional insights, guiding business-critical decisions and planning.
Accurately create forecast estimates of future behavior as accessibly as historical data.
Personalized user experience maps that can help predict and drive needs, behaviors, and future actions.
360-degree view of the business to lead teams from insights to improve bottom-line results.
Automated identification of tools, reports and capabilities that you're not utilizing, but should be.
Provide competitive analysis via summaries, as reads documents for you and summarizes the contents.