Historically, gaining competitive advantage has been achieved via patents and hardware but this evolved to a more sophisticated and dynamic model involving trade secrets and software. Today, driven by a digital revolution, we are at the beginning of a new model for entrepreneurs where they create change and defensible barriers to entry for later entrants through a new dimension, that of data. In this session, Professor Aulet will demonstrate how data can drive change and competitive advantage given this new paradigm in an engaging interactive exercise. This helps to explain why so many entrepreneurs are talking about the networking effects that are created with data and why some new ventures that drive change with data soar, while others fail.
The hype is now real - AI is fundamentally changing the way we work and the way jobs will be shaped in the future. But as an enterprise leader, how do you find the signal in the noise of all of the change that AI can bring? Join this session to hear how organizations use AI to make an impact in business, successes with AI, and, most importantly, how AI can be used to create a more equitable future for all.
Even as big data transformed the way we match consumers to desired services and products and are on track to revolutionize the very nature of work, the civil sector, with a few notable exceptions hasn't experienced a radical transformation in the way they work. During this session, Mari Kuraishi will explore the challenges of leveraging data within the nonprofit and philanthropic world, ethical issues around data, and how data is being used to transform the work of the social sector in areas as diverse as fraud detection, data consolidation, and monitoring
Recent rapid advances in Artificial Intelligence (AI) have raised concerns about machines competing with human workers, or becoming antisocial actors that spread fake news, make unethical decisions, or otherwise get out of human control. This talk explores various projects deployed at MIT to build a more cooperative relationship between humans and intelligent machines. Projects include: human-machine collaborative creative writing; mapping human skills to understand how to best complement imminently automatable tasks; audit and governance mechanisms for algorithms and the datasets used to train them; and experiments showing that we can cooperate even with selfish machines. Participants will walk away with a new way of thinking about data and intelligent machines, one that is founded in science and democratic values.
In this era of increasing self-service BI, users find themselves lacking the skills to fully understand how deal with data, apply appropriate analytical and visual elements and interpret and understand resulting analyses. For organizations to truly achieve an “information democracy”, all users must have a basic proficiency or fluency in working with data. We at Aldo Group see this as critical to our long term success and are developing a new data literacy initiative to imbue these skills. In this session, David Dadoun will share the scope of their data literacy program, and its design center and goals, enabling others to build on Aldo Group’s experience.
Product managers increasingly amplify the value of their products by adding data-based features and experiences. This phenomenon, called data wrapping, represents one of three key approaches to data monetization. In 2018, MIT CISR collected information from 511 product managers to better understand how to execute lucrative data wrapping efforts. This talk will describe three key activities that distinguish top data wrapping performers – and explore the implications of data wrapping for the business intelligence field.
Girl Scouts are changing the world from every corner of the country. With 2.6 million active members, 50 million Girl Scout alumni, and a legacy that extends more than a century, Girl Scouts is continually innovating to ensure them a modern Girl Scout experience and with so many other choices and demands on girls and families time and energy, that is a big charge. But that's exactly what they’re doing through digital transformation, powered by data analytics. Girl Scouts of the USA CEO Sylvia Acevedo will speak about how Girl Scouts is creating a 360-degree view of its customer. Modern data visualization tools combined with insights from the Girl Scout Research Institute are helping Girl Scouts reach more girls, increase our impact, and support all 112 Girl Scout councils across the country.
Data is important. It helps us better understand the world around us. But have we placed an unfair burden on data - asking it to do what it was never intended to do in the first place? In a fast-paced and every-changing world, how can we more intelligently use data to help us make more accurate predictions about the future? In this talk, Efosa will introduce a familiar tool which everyone already uses - theory. So, while we don't have data about the future, we do have theories which can help us better predict what causes what - and why.
As healthcare spend spiraled out of control in the US, Sanford Health responded by establishing the leading class analytics team, focused on developing the fundamentals (data governance, unified team, cohesive data warehouse) in creating the one source of truth. Dr. Hsu will explore the fundamentals which formed the key to the successful transition from Big Data into Artificial Intelligence for Sanford Health. He will also explore the concept of population health (as the first step towards value) - identifying the importance of Sanford Healths data and analytics journey on our population healths success.
Many organizations struggle with improving performance, applying intuition, rather than hard data, when making decisions. As a remedy, Gary will explore the importance and value of strategy maps and balanced scorecards, why measures of channel and customer profitability and customer value are superseding profit and how activity-based cost management accurately traces calculated costs and cost transparency.
The technology talent gap is widening as companies increasingly adopt digital business initiatives. There is intense competition to find and retain talent, and companies need to develop new and creative solutions to recruit, train, and maintain their tech workforce.
Interapt successfully built a model to solve this problem and identified the “line of upward mobility.” Their unique approach sources talent from diverse backgrounds and teaches them the skill of “learning how to learn” in an immersive training program. This mindset combined with foundational technical skills prepares trainees for successful future careers in the rapidly evolving tech industry. In this session, Ankur Gopal will discuss the motivation behind this model and its transformative power for communities and businesses across the world.