Rebel’s Guide to PM
MARCH 11, 2021
Where is artificial intelligence taking project management? The impacts of artificial intelligence in project management. The impacts of artificial intelligence stretch across the breadth of what project managers do. The applications of artificial intelligence in project management.
Binfire
JANUARY 13, 2025
In particular, cloud services have revolutionized how teams collaborate, store data, and execute projects. However, with this increased reliance on technology comes heightened concerns about data security. As businesses adopt cloud-based project management platforms, understanding how these services safeguard data is crucial.
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ProjectManager.com
NOVEMBER 14, 2024
Data-Driven Decision Making While project managers have always applied data to their decision-making, the more accurate, real-time insights and tools that have become available are influencing them with increased objectivity, proactive risk identification and predictive analytics. Collaborative tools are fostering better communication.
ProjectManager.com
SEPTEMBER 27, 2023
The term smart manufacturing was first used in the mid-2000s as new technologies such as 3D printing or additive manufacturing and artificial intelligence became more prominent. ProjectManager is award-winning project management software that delivers real-time data that enhances control and facilitates smart manufacturing.
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.
Rebel’s Guide to PM
MARCH 14, 2024
That means removing the busywork of project management like data collection, status reporting and tracking – which I think is a good thing. There are more data and analytics projects being kicked off in 2024 than previous years, with 77.6% of organizations reporting that they are driving business innovation with data compared to 59.5%
Scrum.org
JULY 10, 2024
By leveraging Artificial Intelligence (AI), teams can get that time back and become more effective. The analysis can span data from various sources to provide broad insights. Through machine learning algorithms AI can process customer feedback and reviews to highlight common pain points and desired features.
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?
Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino
We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.
Advertiser: ZoomInfo
On top of ever-increasing advancements on the technology front (hello, artificial intelligence), try adding record-low unemployment and candidates’ virtual omnipresence and you’ve got yourself a pretty passive, well-informed, and crowded recruiting landscape. The good news?
Speaker: Scott Middleton, CEO of Terem Technologies, with Kristian Truelsen and Kuleen Mehta of Wrike
Imagine a world where your project team's capabilities aren't bogged down by data gaps, administrative gruntwork, or simple code errors. Join our panel of thought leaders to learn where AI is taking us and how to get there. In this webinar, our panel will discuss: How artificial intelligence will take prominence in a post-COVID world.
Speaker: Conrado Morlan
In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.
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