
Business First! – how diwo aspires to flatten the knowledge pyramid
Posted: 2017-09-18
We can all agree on the fact that we are sitting on an unprecedented volume of data, and it is continuing to accumulate exponentially. We can also agree that business is changing fast; at current rates, 75% of SP500’s will be replaced within the decade*. Organizations that learn how to make wiser and quicker decisions will seize $430B in market share from their less analytically oriented peers in the next couple years**. Even with the latest in tools and technologies, the decision-making process is still broken—that’s why we believe in a business-first approach to any Big Data analytics solution.
You’ve probably heard of the “Knowledge Pyramid,” with Data on the bottom being processed into understandable Information, which can be further refined into Knowledge. In the end, this knowledge, regardless of how advanced it is (even the results of predictive analytics), still requires decisions to be made. This happens in the realm of Wisdom (or so we hope), the peak of the pyramid. If we keep things simple and define wisdom as “the optimal application of knowledge,” this decision-making space is where business is led. Over the years, we’ve seen firsthand how even the “deepest of insights” lack the business context needed for a timely decision—and we don’t use “insights” lightly, unlike many cringe-worthy applications of that word.
By playing in the Cognitive Decision Making playground, diwo’s approach is so unique, it has the potential to turn business on its head with what we call the “Opportunity-Driven Enterprise” paradigm. By working inside the user’s business context, “What does this mean for ME?” is finally answered.
Imagine for a moment:
-A system that is always working in the background to sense, explore, synthesize, and quantify future business situations that it articulates for you, essentially presenting packaged decisions that should be made. We call these “Opportunities.” They do not depend on user initiative, differentiating diwo from other cognitive platforms that only provide disparate, raw material for user decisions, and only as requested by the user.
-A conversational interface that provides business context-specific insights along your unique decision-making process, even providing the capability to explore alternative strategies by tweaking certain decision levers to see impact in real time.
-A scalable solution that adds value on day one, by addressing single “Opportunity Types.” The user gains deep knowledge of not only the opportunity at hand, but also how it is affected by real-time context and how it fits into their specific business process. Success in one area of the organization can be built upon to ensure adoption elsewhere.
-An end-to-end solution that allows you to leverage existing data and analytics assets, eliminating the pain of assembling hard-to-find talent, while combining 10+ technologies for a seamless analytics solution.
Our limited abilities have led us to seek a closer relationship with machines, and diwo endeavors to reach the pinnacle of analytics by optimizing that man-machine symbiosis. By seeing these Opportunities before they occur and acting on them before they’ve passed, fighting fires and after-the-fact “insights” won’t characterize the business process any longer. Business is reimagined as a cognitive system whose purpose is to optimally respond to predefined opportunity types, as quickly as they arise.
diwo essentially flattens the pyramid by building deep knowledge on both the subject matter (Opportunity type) and the user’s current business context, combining them to provide deep insights along the decision-making process. Even the User Experience is defined by this contextual process, as the interface provides users insight only as required, depending on the user’s location in the decision-making journey. The latest in self-service BI tools, and even Artificial Intelligence or Cognitive technologies are still plagued by multiple adoption issues that define many transformational initiatives. We believe technology should be harnessed to free the user from worry, not add to it, and that’s why “Business First” is our rallying cry.
Read this article on diwo Linkedin
*Innosight
**IDC
Loven Systems

How banks can leverage AI to better manage pandemic relief programs
The recent massive economic shifts due to COVID-19 have driven up risk for the vast majority of financial services institutions. Customer sentiment, spending and behavior... + 2020-07-28


Financial Services: Preparing for the Looming Credit Crisis
The COVID-19 pandemic has significantly affected financial institutions – slowing the growth of loan originations, increasing credit costs, contracting economic activity, and causing record levels... + 2020-05-15


Can retailers find strategies that balance short-term recovery with long-term sustainability to lead them out of the COVID-19 crisis?
Retail and fashion business leaders are currently focusing on business continuity (“keep the lights on”) and crisis management (“sell the right stuff”), but soon they... + 2020-05-05


Transforming Business Decisioning in the Pandemic era is more crucial than ever.
Our human tendency toward incremental thinking limited us from foreseeing how “a few cases of the flu” would balloon into the impact we see today.... + 2020-05-01


Surviving COVID-19: How can Retailers free up working capital tied-up in inventory?
Among the many sectors affected by COVID-19, retail will be one of the hardest hit. The sudden decline is attributed to country-wide store shut-downs and... + 2020-04-23


Don’t let your shiny AI models lose their luster!
Businesses have made significant investments in building AI/ML models in recent times. While models are increasingly driving significant operational efficiencies and differentiation for businesses, they... + 2020-04-22


AI Modeling in the time of Covid-19
Companies of all sizes are facing unprecedented uncertainty and challenges due to the global impacts of COVID-19. It has created a major systemic shock to... + 2020-04-14


How to derive value from your AI investments with Decision Intelligence
Ultimately, a company’s value is measured by the sum of its decisions. In order to succeed, the organization must make and execute decisions—across all levels... + 2020-01-24


Why isn’t my enterprise getting value from AI at scale?
Why do most AI initiatives for business fizzle out? Why do so many teams’ best efforts to develop or deploy new algorithms or predictive models... + 2019-11-21


Here’s why you’re probably losing the AI race
As the AI arms race is becoming more heated, more organizations are looking to beef up their competitive advantage... + 2019-08-01


Data In Wisdom Out
I am often asked by the curious, what do we actually mean by “wisdom out”. Is it just a marketing ploy or is there something more to it?... + 2018-10-31


Is Data a source of value?
We have always been exposed to natural and man-made events and have wondered and been impacted by their outcomes... + 2018-10-16


The Future of Decision Making: Human-AI Symbiosis
When we have to make an important decision, we face numerous challenges: uncertainty, complex data that’s difficult to interpret, competing priorities... + 2018-09-20


Digital Transformation- a $900B failure this year alone
Digital transformation has become a major priority for most organizations in some form or another, but for many, it’s proving to be quite the challenge... + 2018-09-20


So What’s AI’s Dirty Little Secret?
One could read the massively hyped claims of the trillions in productivity gains and then how far AI still has to go for real-world application... + 2018-09-20


How AI can rescue your BI “situation”
Even with a few credible upstarts in the past couple years, Self-Service BI still seems to be dominated by some large players that also require some very large and "very ongoing" commitments... + 2018-03-20


Business First! – how diwo aspires to flatten the knowledge pyramid
We can all agree on the fact that we are sitting on an unprecedented volume of data, and it is continuing to accumulate exponentially... + 2017-09-18


The Growing Market Impact Of AI
The future is always uncharted territory, and in the hype that currently sorrounds AI, with its ambiguous... + 2017-09-18


AI: How It Will Redefine My Job?
In the past few years, there has been an explosion in innovation and interest around Artificial Intelligence... + 2017-09-18


Wait Less, Sense More, Act Fast!
“If I had more legs, I could walk faster. If I had more hands, I could handle more, and if I had extra senses, I could respond wiser” – did you ever wish that?... + 2017-09-11


Unlocking the holy grail of UX design: bias-free user feedback in real time!
The potential of measuring emotional feedback from users is an exciting proposition in many fields, not least because it offers the possibility of unlocking... + 2017-07-25


What’s the Deal With AI Connectors
Artificial Intelligence (AI) is changing our lives, and these days feels more omnipresent than ever before. From Siri to autonomous cars... + 2017-07-25


Business Analytics-Why Search is Not Enough
Due to the popularity of internet searches, many businesses have attempted to adapt the search paradigm to tame their own unruly document clutter... + 2016-09-15


Drowning in data? Still no excuse for inaction!
Wouldn’t it be fantastic if we had a total understanding of the laws governing the reality around us? Imagine for a... + 2016-09-15
