What does the future of warfare look like? What boundaries need to be implemented as AI is introduced to combat environments? Explore how machine learning is helping the US military adapt to the modern battlefield.
Still recovering from record-setting snowfall in the winter of 2015 that crippled public transit in greater Boston, the Massachusetts Bay Transportation Authority (MBTA) faced a projected $335 million operating budget deficit and a $7 billion maintenance backlog. Searching for innovative solutions to these challenges, the MBTA decided to tap into the ideas of the constituents it serves, comprising some of the most innovative businesses and academic institutions in the country.
The power of machine learning is leveraged today by P&G to improve advertising targeting and ROI, especially in search and programmatic. In the near future, ad fraud is an area that might also benefit from this new trend.
Adidas Sets Out to Bring 3D-Printed Running Shoes to the Masses
Between 1999-2003 The LEGO Group was on a burning platform [1]. Children were abandoning traditional toys at earlier ages, turning to more sophisticated alternatives such as video games. Retailers were becoming more complex, as the phenomenon of big-box stores made […]
What is Olay? Olay is a 66-year-old global skin care products brand within Procter and Gamble’s (P&G) $65 billion-dollar product portfolio. Olay products were sold in 80+ countries, used by 60+ million consumers as of 2012, [3] and generated estimated […]
NYC311 has made great strides in evidencing the power of data analysis and innovation within the government, through opening up its data. Now it needs to build capacity in-house and answer tough questions to solidify the long-term impacts of open innovation.
Lemonade, a company offering home insurance policies, is a pioneer in the InsurTech world where its use of machine learning (ML) goes beyond satisfying customers and driving efficiencies to underwriting risks and managing claims
Despite its exponential growth, Lemonade’s scalability is questioned considering increasing customer demand and limitations around availability and precision of data.
Can AI even substitute an advertising copywriter – a “creative” profession?
In an era of decreased attention span, heightened competition and high content creation costs, Netflix is countering churn with innovative machine-learning algorithms which aim to provide subscribers with the most personalized entertainment experience but would this be enough to maintain a sustainable competitive position in the long run?
