Decision Intelligence News

"While 70% of business leaders say they understand how AI will change how their organization generates business value, only 10% report significant financial benefits in 2020.

So while 59% of organizations have a strategy for AI, many of the promised benefits remain elusive."

Many of us were made aware of an alleged near-miss between two satellites in low earth orbit, one operated by SpaceX and the other by OneWeb....we seek to understand, use and manage information in such a way that leads to desired outcomes. This ability is known as Decision Intelligence, and it’s the reason for developing situational or domain awareness."

"...quality AI information is clouded by the AI apocalypse narrative. If you google the field, you’ll be challenged to separate medical imaging wheat from AGI chaff. (Don’t tell anyone, friends, there’s no magic here, it’s just math.) AI alone is no more likely to take over the world than is your calculator. Well, unless it’s used as a deniability smokescreen: “It’s not my fault the killer robot smashed your house, it was the AI that did it”.

"Lack of causal understanding makes it very hard to make predictions and deal with novel situations. This is why you see self-driving cars make weird and dangerous mistakes even after having trained for millions of miles.
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Generalizing well outside the i.i.d. setting requires learning not mere statistical associations between variables, but an underlying causal model,” the AI researchers write.

Even though the concept of decision intelligence is still relatively new on local shores, the potential to disrupt the AI market is significant. Companies must be cognisant of this framework and gain an understanding of how to leverage it for optimal data analysis.

How can we leverage our understanding of human physiology, neuroscience, and technology to guide and improve the decision making process for organizations and teams?

In my situation, I believe that DI could have assisted me with the best action to take to achieve my ultimate goal, which is to drive engineering pride across SAP. …

While we may be facing the biggest threat of our lifetime, the good news is that Decision Intelligence (DI) can leverage AI as well as epidemiological, social, and other knowledge sources to help. Including beautiful visualizations, DI can be used by policymakers, media, business leaders and individuals, to make and communicate the impact of their decisions in a complex world.

The human-computer partnership is the future. Decision Intelligence (DI) gives us a formal way to integrate AI into existing decision making. Just having a structured way of thinking through complex decisions can really move the needle, and especially on big problems, even five percent can save lives or save money.

Since 1976, the Association of American Publishers’ awards for Professional and Scholarly Excellence (PROSE Awards) have recognized publishers who produce books, journals, and digital products of extraordinary merit that make a significant contribution to a field of study in the humanities, biological and physical sciences, reference and social sciences.

"Building decision intelligence applications and delivering prescriptive analytics wherever and whenever needed is challenging in the best of times. Establishing a future-proof platform with analytic and AI powered insights, state-of-the-art optimization, and decision rules solutions can help businesses transform into customer-centric, automated and intelligent enterprises."

Orphaned Analytics are one-off Machine Learning (ML) models written to address a specific business or operational problem, but never engineered for sharing, re-use and continuous-learning and adapting.

In artificial intelligence, machine learning, decision intelligence, statistics, and science, we use the word “decision” to mean a lot of things. Let’s tease out some distinctions:

Are you thinking: “I’ve heard that AI can provide some value to my organization?” but wondering where to start?

Our mission is to improve lives by empowering students with essential skills and dispositions for making better decisions

To be able to spot business sense in data and find a true answer to the initially asked questions at the required time and adapted to the audience, result visualization is crucial. Humans only have a limited capacity to process information. This is why insight-driven organization’s intelligent tools that serve people by producing target-group specific dashboards ease the decision-making process. In the event of missing or simply not identifiable capabilities in your workforce, the most efficient solution is to get a professional data analyst aboard. In order to create C-level insights and derive first implications a special skill mix between science and art is required. 

It is expected that many organizations will have analysts practicing decision intelligence including decision modeling in the future.

The industrialization of AI platforms enables the reusability, scalability and safety of AI, which accelerates its adoption and growth. This industrialization aims at getting new adopters of AI on par with early adopters. 

According to a recent Gartner survey, the C-suite is steering AI projects, with nearly 30% of projects directed by CEOs. Having the C-suite in the driver’s seat accelerates AI adoption and investment in AI solutions.

For example, decision intelligence indicates that companies want to use AI to make better decisions faster, such as selecting best treatment options for patients or accelerating discovery and prevention of anomalies and vulnerabilities.

Brian Nosek, a University of Virginia psychology professor who has devoted his career to making scientific data more reliable and trustworthy, is frustrated. Like everyone else, he's trying to understand the pandemic, particularly in his own community of Charlottesville, and in California, where he has family.

So he wonders: Where is the virus spreading? Where is it suppressed? Where are people social distancing as they should, and where are they not? Where will he and his family be safe?

In this pandemic, we're swimming in statistics, trends, models, projections, infection rates, death tolls. Nosek has professional expertise in interpreting data, but even he is struggling to make sense of the numbers.

“What's crazy is, we're three months in, and we're still not able to calibrate our risk management. It's a mess,” said Nosek, who runs the Center for Open Science, which advocates for transparency in research. “Tell me what to do! Please!”