Comprehensive Software Reviews to make better IT decisions
Blueprint at BA World – How to Defrag Your Business!
Over 1,000 IT leaders and professions gathered for a diverse slate of technology and professional practice sessions this week at BA World Toronto, May 27-30, 2019. Blueprint’s Chris Castle explored how defining your technology value stream helps ensure you deliver the right solution.
Traditionally, technology companies delivered products and enterprises delivered projects. From Blueprint’s perspective, enterprises have begun to embrace product-centric methods to reduce risk and time to value in technology delivery. The key lies in value stream mapping, a practice supported by Blueprint’s flagship product, Storyteller. Storyteller helps users visualize the process to help ensure you optimize the whole process, not just part of it. As an integrated tool in the delivery process for a value stream, it will help users automate and understand the effectiveness of their delivery teams.
Blueprint has a good grasp of how product delivery practices need to include visualization of how technology enables the business value stream. After all, there is no such thing as a process that isn’t enabled by technology. Storyteller provides features that enable you to visualize how technology supports your processes. However, the funding, business functionality, and technology is only the foundation for a value stream. Product leaders need to understand how the services required to operate the product ensure it delivers the expected benefits as well. We see our members embracing delivery models that integrate technology in the value stream with the services required to operate and ensure they realize the business and human benefits they expected.
If you’re interested in Storyteller you can find out more by clicking on the image from SoftwareReviews below.
Want to Know More?
Info-Tech’s Transition to Product Delivery blueprint has the information and exercises to help you define the practices you need to complement a product or requirements management tool implementation.
Last month Amazon released SageMaker Studio, an IDE for machine learning (ML). The objective for this new-ish offering was to address “immature tooling” in ML and make it easier for data scientists to create and deploy ML models.
So, you know about AI biases but want to see a demonstration of what’s involved in identifying and removing them from a machine learning/AI application? A recent webinar by DataRobot does just that: it walks you through a small ML project and explains step by step what to do and how.
Doctors at the Moorfields Eye Hospital in London have built a data set that links patient retinal scans with nationally held data about people with Alzheimer’s. They plan to use it to see if they can detect the early stages of Alzheimer’s disease from retinal changes using machine learning.
DataRobot, a vendor of enterprise AI, recently released a report revealing that nearly half (42%) of AI professionals in the US and the UK are “very” or “extremely” concerned about AI bias.
Wrike’s Approach to Avoiding Employee Burnout Requires a Collaborative, Top-Down Approach to Portfolio Planning
Wrike’s Laura Quiambao recently blogged about the dangers of employee burnout and highlighted how Wrike Resource can help. It’s tough to argue with her four proposed solutions, but a fifth component is absent from her analysis: engaged, responsible portfolio ownership.
A newly announced collaboration between CipherCloud and Thales promises to enable zero trust access control for data in the cloud. This may be a compelling value proposition for companies looking for a CASB with integrated zero trust identity management.
Aha! has improved its integration with Azure DevOps to improve release and sprint visibility for both developers and stakeholders.
IoT manufacturers aren’t just waiting for 5G connectivity to deliver significant smart city solutions. From a smart city conference in Dublin, we showcase three examples of how IoT is improving urban environments today.
The AI system developed by Google Health more accurately identifies breast cancer than human experts, reports The Guardian (and others). The system has been tested in the UK and the US, and the results are published in Nature, one of the most prestigious scientific journals in the world.