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You don’t lose sleep over dashboards. You lose sleep over decisions. You’re standing on the factory floor, surrounded by the hum of million-dollar assets, and you know something is off. An alert flashes on a screen: “Anomaly Detected.” But what now? In that split second, the gap between a minor […] The post Your factory […]
Your factory floor is asking for better decisions. Are you listening? Read More »
There’s a new reality. Managing, organizing and analyzing data alone is no longer enough. What really matters is how decisions are made, governed and executed. To be successful, enterprises need a unified approach that allows decisions to sit at the center, bringing people, systems and data together. While there are […] The post Why decision
Why decision intelligence? It’s the unifying infrastructure for the enterprise Read More »
에이전틱 AI는 자동화와 의사결정을 위한 차세대 키워드로 주목받으며 큰 기대를 모으고 있습니다. 하지만 이러한 열기 이면에는 다소 조심스러운 전망이 자리 잡고 있습니다. 가트너(Gartner)는 비용 급증, 불분명한 비즈니스 가치, 부적절한 리스크 관리 등의 이유로 에이전틱 AI 프로젝트의 40% 이상이 2027년 말까지 중단될 것이라고 경고합니다. *이 글은 SAS 글로벌 공공 부문 전략 […] The post AI 에이전트와
Most organizations encounter various complexities and bottlenecks. Whether it is due to continued economic uncertainty or shifting customer expectations. Much of this is also driven by data and AI, which are reshaping decision-making, including how societies approach labor. Ultimately, what will differentiate organizations is how they use their data and […] The post 3 keys
3 keys to making the right decisions amid rising complexity Read More »
Most conversations between decision makers and data professionals begin back-to-front If you’re a decision maker who wants to make the best use of data and other information resources, such as artificial intelligence (AI), to support your decisions, chances are that conversations between you and your data analysts is happening back-to-front. Data analysts should encourage us
Guest Post: The Backwards Conversation (part 1 of a series) Read More »
As data storage and management becomes less expensive, many organizations are tasked with being “data-driven”. What does this mean in practice? For many, using data to inform important organizational decisions is an important goal. This is the role of Decision Intelligence (DI): a practice that bridges decisions to data. However, it’s not always clear how
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: Decision TypeNameQuestion answeredPrimary information SourceTypical success criterionTypical methodAML classification“Decisions That”: “What is this picture?” “What disease does this person have?” “Is this a cat?”DataTrue positive, true negativeSupervised learningBML regression“Decision
Understanding what we mean by “Decision” in ML/AI/DI Read More »
The introduction of the cotton gin wasn’t accompanied by an entire genre of Hollywood movies dedicated to the gin “singularity”. Nor did we usher in Golden Age of telecommunications with blockbuster killer “phone web” stories. Artificial Intelligence is different. Like other disruptive technologies, it is having far-ranging effects, good and bad. But uniquely, quality AI
Are you thinking: “I’ve heard that AI can provide some value to my organization?” but wondering where to start? You might be a CIO or other technical leader, looking to avoid being left in the dust behind this important technology. Based on our experience delivering dozens of AI projects (thousands of models) over 30 years,
I caught COVID19 in March, a few weeks after breaking my arm badly enough to need surgery. I made it through, but along the way, and with the perspective afforded by a lot of time on the couch and away from the day-to-day business of Quantellia, I became galvanized to do something about other COVID
