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There is no more compelling bespoke content than the guided conversation around data science that George Danner brings to the business world. His audience takeaways and ideas are compelling and shape industries. Every event is a personalized discussion about possibilities. George is animated and excited and his enthusiasm is contagious.
There is no question too complicated for data science. Challenge George with your best conundrum.
Problems that were thought unsolvable now have a visualized pallet of information, brought to us by data science and waiting to be consumed by humans.
TALK TOPICS
How companies can solve complex business problems using computer simulation models, and gain insight into possible solutions.
Transform a company by rethinking, reimagining how it could work with digitally connected enterprise (customers, partners, things, and systems) with intelligence from the data driving decision-making processes. Learn from professional sports about how analytics has transformed the way sports teams organize themselves, select players, establish strategies and win.
How to automate a company, improve its effectiveness and efficiency in the right way by identifying opportunities to automate, creating algorithms that replace human tasks with machines (and how to repurpose those humans for more valuable work). Eliminate costs where unnecessary. Using natural language technologies, enable business processes efficiencies. People can interact with systems and data with spoken language and make decisions with agility.
Networks are everywhere, even if they are not obvious. Modeling networks from supply chains to workflows to people connections helps us understand how to harness them for creating value.
Apply mathematical models of conflict and cooperation between intelligent rational business decisionmakers to achieve mutual win-win result and avoid zero-sum scenarios.
Distributed databases that maintain trusted, secure business transactions that can be accessed by authorized business partners to conduct business more efficiently. Just like bitcoin, this technology that radically changes how businesses engage is likely to be adopted industry-wide.
We encounter many companies that all tell us the same thing: how can our company produce the same kinds of analytical solutions to complex problems as Smartbridge does for its clients? Over the years we’ve learned a thing or two about what it takes to build analytical teams inside of organizations, as well as how to equip them for success. In this talk we will provide helpful guidance on how to grow an analytical function within the firm.
Many times, we use simulations to capture an important function inside a company, or perhaps to recreate the entire company in a computer model. Management Flight Simulators are a powerful learning experience for corporate teams wishing to institutionalize an “end to end” view of the company. In this talk we will present several case studies we’ve done to illustrate the power of the MFS experience.
Sensors and other small computing devices have been placed on people, machines, home appliances, vehicles—even inside of baseball bats! All of these devices are connected to form a ubiquitous network of sensor data, but how does a company begin to exploit such data?In this talk we will discuss how to “do” IoT correctl —getting the signal clearly from the noise by harnessing the valuable science of edge computing. We will describe a blueprint for an IoT strategy that is grounded in business problem solving.
Machine Learning is a popular and powerful technique for teaching a piece of software to develop an algorithm to predict the behavior of a system. These platforms have been used in applications ranging from predictive maintenance to political elections to sales forecasts. But Machine Learning is tricky to apply in the real world. In our talk we will bring Machine Learning to a practical level so that the audience can gain a clear understanding as to how it works, and the pitfalls along the way.
Our most popular request for business modeling is demand forecasting. It seems that companies everywhere are eager to avoid being blindsided by unexpected increases or decreases in product or service volume. Don’t be caught unaware— learn the straightforward science of building forecasting models that provide insight into the future direction of customer or industry behavior.
Most companies operate in fiercely competitive industries. Yet, we spend very little time analyzing our competitors scientifically. The fastest growing sector in business modeling these days involves the creation of simulation models specifically directed at those companies that compete against us. The exercise of doing this is valuable in and of itself. Learn how to use Game Theory and Scenario Planning together to create a comprehensive view on competitive behavior.
When was the last time your favorite restaurant ran out of that special meal that you really wanted? Why did stores sell out of that specific toy for your kids at Christmas? Ever notice cases and cases of overstocked items sold at 80% off? In this talk we will demystify the reasons why so many companies struggle to accurately match supply with demand, and offer lessons to mitigate the surges.
The human brain beats every computer ever devised on one thing alone: pattern recognition. This is why we need to design our systems and models to allow the human brain to do what it does best: spot the patterns in a complex business system as it unfolds in front of us. The science of visualization is steeped in information design principles. In this talk we will describe these principles and how to apply them so that companies can create compelling and accurate visual representations of real systems for the purpose of complex problem-solving.
If we could systematically and objectively measure the value of each and every IT asset, we would have a much clearer way to think about an optimal IT system, in the same way that factories are precisely sized and configured to optimize the production of goods. Excellent research at institutions like MIT in recent years have begun to shed light on how to measure the value of IT assets. In this talk we will delve into these methods to show companies how they can use these to calculate the value of their own IT.
We can define other topics or customize specific talks to meet your needs.