“The widespread organizational adoption of business intelligence and analytics systems has not resolved a persistent structural problem: the gap between the availability of analytical information and its effective use in decision-making.” Drawing on evidence that includes public health dashboard failures during the COVID-19 pandemic, the author argues that information overload, insufficient narrative context, and poor communication design can prevent decision-makers from translating data into effective action."

"Though it’s the stock response, 'insights' is precisely the wrong way to think about how an advance in AI will create value. In fact, we feel that 'insights' often is code for 'We don’t know what to do with our AI’s predictions.'

A much better answer would be to describe the decisions that the predictions will improve, because AI has value only if it leads to better decision-making."

"Decision intelligence (DI) is at the Innovation Trigger of the Hype Cycle. DI is a practical discipline used to improve decision making by explicitly understanding and engineering how decisions are made, and how outcomes are evaluated, managed and improved via feedback....

There is a need to transparently represent how decisions are being made.

From a pure business perspective, it makes sense to curtail unstructured ad-hoc decisions that are siloed and disjointed, and properly harmonize collective decision outcomes across an entire organization. Software tools are now emerging that will enable organizations to practically implement DI projects and strategies."

"According to Gartner’s AI Hype Cycle report which urges companies to, 'pay early attention to innovations expected to hit mainstream adoption in two to five years, including composite AI, decision intelligence and edge AI.'

Despite the shift to a data-centric approach, AI models still need attention to ensure the outputs continue to help us to take better actions... 

Decision intelligence and edge AI are both expected to reach mainstream adoption in two to five years and have transformational business benefits, according to Gartner. Innovations here include AI engineering, decision intelligence, operational AI systems, ModelOps, AI cloud services, smart robots, natural language processing (NLP), autonomous vehicles, intelligent applications and computer vision."

"In March 2020, the NHS needed to make life-or-death decisions on the back of understanding whether curves were trending up or down. For the first time ever, they connected data flows from across the entire system.

That is a potentially overwhelming amount of data – but, crucially, they weren’t paralysed by this sudden torrent... Why was that?

Well, working alongside the NHS, we applied approaches from a nascent field called decision intelligence. We used this data to build the understanding the NHS needed to make confident decisions about which hospital wards to open or close, and which resources to send where.

Rather than just showing data on current levels of patient demand, we could also show demand for tomorrow or next month, the reasons why demand was changing, how that affected resources such as beds or ventilators, and what actions they could take.

Rather than making decisions on data alone, the NHS made them on an understanding of how and why events were unfolding. The collective results have been widely credited with saving thousands of lives."

"So here’s a question for you: does the software system you’re building help people to 'do', or to think, or both? 

And if it helps them to think, then do you understand how they think today? Do you know what’s natural to them? Are you asking them to learn to think in an entirely different way, just to use your system? Or have you learned – like the great 'doing' software designers of the last century – that it’s your job to start with the user, to meet them where they’re at?"

Artificial intelligence-powered 'decision intelligence' platform provider Tellius Inc. is in expansion mode after closing on a $16 million round of funding today...

Whereas BI tends to focus on answering 'what happened-style questions,' decision intelligence goes beyond that to provide more expansive answers, explaining why something happened and how to proceed, Khanna said. 'Answering the toughest business questions is rarely a linear process or doable via a single form of analytics, such as descriptive, diagnostic, predictive or prescriptive analytics,' the CEO added. 'Tellius blends all analytical modes together, making analytics an agile and seamless experience to drive solid business decisions'...

The offering has won over a number of Fortune 500 companies, with Tellius claiming to have customers in verticals ranging from eCommerce, pharmaceutical, banking, financial services and insurance."

"As the demand for robots increases in various industries, the need for collaborative robots (cobots) is also seemingly rising — basic robots might not be able to effectively complete various tasks for companies that demand collaborative elements without complicated programming to do so.

AvaWatz Inc. is a decision intelligence tech firm that supplies for the growing demand for cobots...

Powerful machine-learning methods combine the capabilities of individual mobile robots into a unified system for collaborative detection, decisioning and action. ARYA is scalable to support a range of indoor and outdoor scenarios.

Cobots can be used in a variety of fields to perform tasks that are too difficult, dangerous or tedious for humans alone. Cobot teams are adaptable and might help solve challenging problems for public- and private-sector customers in industries such as the military, aviation, search and rescue, construction, infrastructure and transportation."

"As every company strives to become data-driven, decision intelligence has emerged as one of the most strategic technology imperatives today. And for good reason. Today there’s more data than ever before, and decision-making is becoming more challenging. Decision intelligence democratizes AI-enabled analytics and enables anyone within an organization to make better decisions faster and more consistently...

The underlying problem with traditional analytics is that it is inaccessible to the users responsible for making business decisions. Traditionally, the skills and knowledge needed to build, manipulate, and report the relevant data often have been more aligned with tech and development personnel—not business leaders and strategists. Decision intelligence changes that, in Gartner’s words, by facilitating 'a wide range of decision making' through advanced AI and 'adapted system applications.'"

"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."

"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)

"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.”

"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."