Machine Learning // Practical AI // Neosavvy and You
Frequently as consultants we are faced with defining the new wave we are planning to ride and lead our clients when they are faced with the same issue. We have to uniquely identify what the wave of the future will be for our clients so we can invest our time appropriately to become experts in the technology needs of our clients.
Right now it seems we have plenty of options as technologists. Deep Learning, Artificial Intelligence, Data Science, Virtual Reality, Internet of Things, and Blockchain seem to be all open debate topics. Neosavvy has obviously invested heavily in frontend technologies, but it seems that the direction for high quality frontend engineering efforts is more of a race to the bottom in terms of pricing vs high quality design and implementation. We have to take this as a hint that we should be focusing on the future rather than the current lay of the land. Given the shift we see to pull more client side developments in house, we are looking to the future to choose which technological direction we should study and gain expertise in.
We have analyzed two approaches into the long term investment in expertise and the short term investments. Obviously we could make a string of 6–12 months investments in new client side frameworks like Vue, Angular 22.x or Preact. This seems less interesting though as we consider where the direction of the world is headed. Artificial Intelligence stands the chance to drastically change the direction of the world in terms of Self Driving Cars, Treating Cancer Patients, Predicting Stock Trends for Investment Portfolios, and generally answering questions in real time based on training data. Additionally there are plenty of possibilities in terms of being a provider of data to research teams who are sponsored to answer those questions.
One approach to deciding what technology to invest in, is similar to stock investing; imagine a future you want to be a part of, then what stocks (or in this case technologies) enable that future? My bet is on Artificial Intelligence.
This gain in expertise will require a large investment in time to ensure we have the requisite background in Statistics, Linear Algebra, Calculus as they are all the foundations of the modern approach to Machine Learning and Artificial Intelligence. Everyone on Neosavvy’s team has a foundation in these subjects as a result of their undergraduate training in Computer Science, Computer Engineering or Math.
Additionally there are some bright minds creating libraries for use in Python and R to answer the questions being posed by Research Teams and additionally companies like MasterCard, Visa and American Express. In terms of Fraud Protection in real time Banks and Credit agencies have a current need to identify fraudulent behavior and act on it.
As we forge our path into the future, Neosavvy will be making long term bets to accumulate the skills necessary to build on our Computer Science and Engineering foundations to provide a path for our clients to incorporate the modern approach to Machine Learning into their software platforms. There are 60+ years of knowledge and research in Artificial Intelligence and what we now call Machine Learning available for integration into your platform. We aim to understand it, and identify the practical applications of AI and ML for real world problems.
