"Decision intelligence platforms will redefine the way we think, work and build products. The way many companies do business tends to be tedious and unpredictable. I believe there is a way to have better support in decision making, which eventually will lead to predictive outcomes."

"satellite data alone are not sufficient, and the
use of data to drive insight and action remains
inadequate. Gaps in modelling, mitigation and
coordination are still struggling points.

In the United States, for example, no single
organization can provide the US president with
reliable insight into the complete system of emissions
and mitigation, and reliably model where to shift
the system to drive better outcomes."

“Decision intelligence can enable decision makers across the company to measure, quantify, and predict risk with this data to create a consistent methodology steeped in data-driven insights. The technology can place advanced insights into the hands of analysts and business users—helping accelerate formative decision making across the entire organization and eliminating silos between data and sales departments.

For example, a top 10 financial services firm used decision intelligence to improve credit risk analysis. The enhanced analytics capabilities streamlined to a single tool--versus the several solutions the company previously deployed--made it easier for their business and data teams to better collaborate, generate and test hypotheses, and put those into action. The result was thousands of hours of productivity gains, as well as $700,000 saved per month in mitigated losses in just one credit department.”

"Create a decision intelligence excellence team, with key stakeholders from every department by agreeing on a consensus for the current state and advocating for a new operating model revolving around data and AI.

Bring clarity on how you are going to measure the success of your decisions by focusing on clear outcomes with meaningful impact. Build an implementation roadmap by highlighting the highest impact decisions followed up with a phased implementation plan.

Top management is an important driver that has to ensure various business cases align with day-to-day activities..."

"Beyond decision making, the Decision Intelligence Platforms allow to work in what-if mode. The idea is to change the parameters generating the scenarios, to change the set of constraints to be respected as well as the objectives to be optimized.

By controlling this scenario generation at a very high level, it becomes possible to analyze potential futures, and to draw the most profitable one for a company."

Excerpt translated by www.DeepL.com/Translator (free version)

“Effective decision making is more important than ever. 65% of executives have to make more complex decisions today than they did two years ago, according to a Gartner study, and 50% of them experience greater pressure to justify the decisions they make.…

To put some context, the term ‘decision intelligence’ was popularized in Lorien Pratt’s 2019 book, Link: how Decision Intelligence Connects Data, Actions, and Outcomes for a Better World...

According to McKinsey’s findings, 72% of executives say that bad decisions are as frequent as good ones, and the average S&P 500 company wastes an average of $250 million a year due to ineffective decision making.”

"The DI SSTM is tasked with turning data into better actions at scale for decision advantages across all naval missions from the battlespace to the board room and applied data and artificial intelligence (AI) efforts ensuring U.S. competitive advantage with data and AI teams and technologies. The DI SSTM is leading the effort to revolutionize Naval decision-making through the rapid delivery of disruptive analytics-driven, data-informed, and technology-empowered capabilities centered on the cognitive overmatch capabilities of a human-machine team. Recognizing the importance of data/AI in the future naval force, through the innovative work being done NIWC Atlantic has earned recognition as the Navy leader in building the right data/AI capabilities for the Department of Defense (DoD) and Department of Navy (DoN)."

“Decision intelligence is becoming key to the ability of companies to deal with an unprecedented volume of data that’s necessary to making supply chain decisions today, says Fred Laluyaux, president and chief executive officer of Aera Technology.

…Decision intelligence augments current processes, but it also enables analyses that weren’t possible to conduct before, given the complexity of modern-day global supply chains and limitations on human capability.

…The technology doesn’t cut humans out of the decision-making loop altogether. “We advocate going from a world of people making decisions to having machines make the decisions, guided by the people,” Laluyaux says. Humans are still essential to the process, but they’re augmented by processing power that previously was beyond their reach.”

“At QuantumBlack, we unlock the power of artificial intelligence (AI) to help organizations reinvent themselves from the ground up—and accelerate sustainable and inclusive growth.

We do this by harnessing the foresight and precision of data and technology with the creativity and understanding of people. The result? Hybrid intelligence, a source of competitive advantage that transforms how companies think, operate, and disrupt.

…When technology and people work together, we can see further—and deliver lasting impact that shapes our future.”

“We are reimagining how technology, society and the environment are connected, and how we can empower people to lead change towards a safe, responsible and sustainable world for humans, non-humans and the environment, and map the transformations required at individual, organisational and community levels…

…Our program is about comfort in complexity. We won’t be teaching you to manage, reduce or simplify complexity—we will show you how to lead well in a space where you cannot know the whole system or have all the information.”

"Read enough analyst reports, and listen to enough conference speakers, and one can be forgiven for assuming that all important decisions these days should be data-driven. However, business leaders and professionals should be selective as to which decisions should be tied to data analytics, and which should remain based on human experience.

…To help make decisions about making decisions, Gartner recently published an informative ebook, The Future of Decisions, that outlines the process of dissecting and reengineering decisions to both separate human input from machine involvement, as well as enable the two to work in unison."

“Recent developments in AI are about lowering the cost of prediction. Better predictions matter when you make decisions in the face of uncertainty, as every business does, constantly. But how do you think through what it would take to incorporate a prediction machine into your decision-making process? In teaching this subject to MBA graduates at the University of Toronto’s Rotman School of Management, the authors have introduced a simple decision-making tool: the AI Canvas. Each space on the canvas contains one of the requirements for machine-assisted decision making, beginning with a prediction. To explain how the AI Canvas works, the authors use an example crafted during one of their AI strategy workshops: home security.”

“Our hyperconnected world has become so complex that existing decision-making processes within organizations are no longer sufficient. In a study, about 65% of executives from Fortune 500 companies said that, as a result, decision-making in their organization has also fundamentally changed. The perception that high-quality company decisions are made is reported by just 57% of respondents.

…Time for companies to rethink decision-making. The tool to make proven groundbreaking decisions for your business is Decision Intelligence (DI). It enables organizations to make future-proof decisions faster and more efficiently using advanced technologies such as AI, machine learning, or process automation.

…The term “decision intelligence” was first introduced in Lorien Pratt’s book “Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World” before being adopted by market researcher Gartner, who has named DI one of the most important technology trends in 2022 and further developed as a strategic business tool.”

"Government decisions tend to have complex, interconnected effects, all of which have impacts on government outcomes, often outside the purview of any given agency. Improving both trust and customer experience requires decisions to be made accurately in context. This requires the decision process to be clearly understood and be about delivering outcomes, not just adherence to process.…

Gartner estimates that by 2023, more than 33% of large organizations will have analysts practicing decision intelligence, and by 2024, 60% of government AI and data analytics investments will directly impact real-time operational decisions and outcomes."

"In this research study, the prime factors that are impelling the growth of the Global Decision Intelligence market report have been studied thoroughly in a bid to estimate the overall value and the size of this market by the end of the forecast period.

...The Decision Intelligence market study is being classified by Application (BFSI, Healthcare, Energy, Media and Entertainment, Oil and Gas, Retail, Transportation, Others), Deployment (Cloud, On-premises), Services (Demand Forecasting, Discovering Cause, Logistics Optimization), Technology (Analytics, Machine Learning), Modules (Human-based, Hybrid-based, Machine-based) Players and Region - Global Market Outlook to 2027

...The report concludes with in-depth details on the business operations and financial structure of leading vendors in the Global Decision Intelligence market report..."

"In this moment of planetary emergency, we are witnessing a powerful emergence.

Applied AI is becoming a key tool for tackling the crucial challenges of our time, while also enabling exciting new possibilities for future exploration in space.

We invite you to join us to review the outcomes of this year’s FDL research cycle conducted in partnership with the DOE’s AI Technology Office (AITO), NASA, USGS, the Luxembourg Space Agency and leaders in commercial AI such as Google Cloud, Nvidia and Intel and research partners such as Pasteur Labs and Planet.

If you are interested in how to make material progress grand challenges, or just intrigued in how cutting edge AI application will shape the future, please join us for a FDL’s LIVE SHOWCASE on Friday 12 August 2022 at 8:00 - 11:30 | 11:00 - 14:30 ET / 16:00 - 19:30 BST."

"In today’s economy, it’s vital for businesses to adapt to a digital workforce, improve resilience and operational excellence, increase scalability, and uncover new opportunities and insights. That’s why Gartner considers hyperautomation one of the top strategic technology trends for 2022—and why we’ve gathered some of the brightest minds in the industry to explore the opportunities of hyperautomation.

Join us to discover how the next generation of applied AI, hyperautomation, will enable better decisions faster and closer to the ground. You’ll see how AI improves today’s business intelligence tools, how real-time data streaming and augmented analytics can change decision making, and how your organization can benefit from decision intelligence.

It’s free to attend, but reservations are required. Save your spot now.'

"Organizations may contain another kind of silo as well, in the form of employees who alone hold unique information and expertise in their heads. Artificial intelligence can quantify individual knowledge and experience and convert it into data-driven insights, ready to be leveraged on demand across the organization. ...

In the important practice of decision intelligence, AI gives people tools to capture and share their own knowledge instantly and learn from one another’s experiences, helping businesses expand their institutional knowledge simply, organically and successfully."

"The Latest Released Decision Intelligence market study has evaluated the future growth potential of Decision Intelligence market and provides information and useful stats on market structure and size... The study includes market share analysis and profiles of players such as IBM (United States), Aeye (United States), Busigence Technologies (United States), Aera Technolog (United States), Peak.in (United Kingdom), Tellius, Inc. (United States), PYRAMID ANALYTICS (Netherlands), Pegasystems Inc. (United States), Quantellia LLC. (United States) and Diwo (United States).

Decision intelligence is a practical domain that encompasses a broad range of decision-making techniques, bringing together multiple traditional and advanced disciplines to design, model, align, execute, monitor, and tune decision models and processes... It is outcome-oriented and must meet commercial objectives... It enables data to be collected and machine learning models to be used to predict accurate outcomes for optimal commercial decision-making."

"But the challenge of making good decisions gets even worse when we are stressed. A very informative study on this topic was carried out in India. In that study, researchers looked at farmers, who harvest sugar cane. Sugar cane is a seasonal crop, and these farmers generally have low and unsteady incomes. They make their money during harvest season, when they can sell the sugar cane. But, six weeks before the harvest, they are invariably broke. In this particular study, the researchers administered an IQ test to a sample of farmers six weeks before their harvest, and then again just after the harvest... the findings of that study suggest that the farmers had about one-third lower IQ scores when they were under financial distress before the harvest, compared to after the harvest.

The term for this phenomenon is called 'scarcity mindset'."

"Decision intelligence is a trending field that contains a range of decision-making methods to design, model, align, execute, and track decision models and processes. The implementation offers a structure for organizational decision-making and processes with the integration of machine learning algorithms."

"Making decisions about risk and uncertainty is hard. For instance, trying to think through the probability of catching a potentially deadly virus while going to an indoor movie theater is difficult. So people tend to think in terms of binaries — 'this is safe' or 'this is unsafe' — because it’s easier.

The problem is that answering easier questions instead of trickier ones leaves you vulnerable to cognitive biases, or errors in thought that affect your decision-making.

One of the most prevalent of these biases is the availability heuristic. That’s what psychologists call the tendency to judge the likelihood of an event based on how easily it comes to mind. How much a certain event is covered in the media, or whether you’ve seen instances of it recently in your life, can sway your estimate."

"The unpredictability of the outcomes in today’s decision models often arises from the inability to capture the uncertainty factors linked to these models’ 'behavior' in a business context. By introducing machine learning algorithms to decision-making processes, a new field called 'decision intelligence' is emerging to create strong decision models in a wide range of processes."