Advances in parallel and distributed computing technologies and a reduction in the cost of computational hardware have opened up many opportunities for quants who rely on intensive computations for their research. Gone are the days when quants had to migrate applications written in high-level languages like MATLAB to low-level languages like C or C++ in pursuit of performance gains. In this talk, we discuss the seven technological innovations every quant should know. We demonstrate the opportunities and challenges and discuss how MATLAB applications can be scaled with parallel computing technologies, graphical processing units (GPUs), web technologies, and the Amazon EC2 cloud. We highlight the kinds of applications suited for these computing methodologies. We also make a case for how quants can leverage these new technologies and obtain performance gains without having to significantly alter their research process.