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Getting Machine Learning Projects from Idea to Execution

Harvard Business Review

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing?

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Key Challenges Data Scientists Face in Machine Learning projects

Acuvate

10 Key Challenges Data Scientists Face in Machine Learning projects AI-driven, powered by AI, transforming with AI/ML, etc., Everyone is chasing after the promised land of machine learning but so few fully understand it. are some taglines we have heard far too often from the products we are being sold every day.

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The Opportunities at the Intersection of AI, Sustainability, and Project Management

Harvard Business Review

There are unprecedented opportunities at the intersection of AI, project management, and sustainability. Unfortunately, without proper execution, projects to implement AI come with complexities, costs and a carbon footprint that undermine sustainability goals.

Project 130
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You can't burn data

Jeffrey Phillips

As the concept of digital transformation takes root, you may frequently hear comparisons between data and oil. This comparison was strong enough to lead Wired magazine to define data as the new oil in a magazine article some years ago. Both data and oil are commodities, and exist to some degree in large volumes.

Data 157
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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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“As long as my failing project keeps going, I won’t be a failure”

Idea to Value

It was about her new book “ Quit: The Power of Knowing When to Walk Away “ , and there was one topic they spoke about which really stuck with me when thinking about innovation projects. She spoke about why people often find it so hard to walk away from or stop projects which are obviously failing.

Project 246
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4 Factors That Will Help Project Managers Fulfill AI’s Potential

Harvard Business Review

According to Gartner, 80% of project management tasks will be run by AI by 2030. Indeed, AI is transforming every aspect of work, including our management of people and projects. To truly realize AI’s full project management potential, humans will ultimately be the key.

Project 130
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late.

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The Definitive Guide to Dashboard Design

Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand. Download the Definitive Guide to learn why dashboard design matters, and how to do it well.

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The Definitive Guide to Embedded Analytics

Inside you will learn: How embedded analytics has become essential to business applications When to buy an embedded analytics solution and when to build one How to go-to-market, from pricing and packaging to external promotion How to build a business case and sell the project internally The future of embedded analytics …plus so much more.

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Turning Metrics into Dollars: How to Turn Your Analytics Data into a Real Financial Model for your Startup

Speaker: Tristan Kromer, Lean Agile Coach, Kromatic

You'll learn: How to turn basic dashboard metrics into a financial model. Learn how margin of error impacts financial projections. At the very least, they need to be able to see the impact of a change in retention rates to their user growth. When to increase the complexity of your model and when to keep it simple.

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AR/VR Simulations for Sustainable, Regenerative, Circular Cities

Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor

This conversation considers how today's AI-enabled simulation media, such as AR/VR, can be effectively applied to accelerate learning, understanding, training, and solutions-modeling to sustainability planning and design. This is a panel discussion you won't want to miss! May 5, 2021 at 9:30 am PDT, 12:30 pm EDT, 5:30 pm GMT.

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Best Practices for Creating Long-Lasting and Continuous Discovery Habits

Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org

As a result, many of us are still stuck in a project-world rut: research, usability testing, engineering, and a/b testing, ad nauseam. Data shows that the best product teams are shifting from this mindset to a continuous one. These methods are better than nothing, but how can we improve on this model?