Can you beat this pricing algorithm?
This post was written in collaboration with Facundo Parodi, Research & Machine Learning Engineer at Tryolabs. Deciding on the best price for a product or service you’re providing, in order to maximize business profit, is not a trivial problem, not at all. Actually, it’s always ongoing, since you can never tell if the price you chose is better than others you didn’t. Even if you try other prices, market conditions may change, as they frequently do.
My talk at the Tom Tom Festival 2019
In January, I got the great news that I had been invited to give a talk at the sold out Applied Machine Learning Conference (AMLC), which would take place at the Tom Tom Summit & Festival in Charlottesville (Virginia) in April. I had heard great things about the 2018 edition and was eager to know Charlottesville, so I immediately accepted the invitation. 🤗 That's me, talking about ConvNets at the Tom Tom Festival 2019 About Tom Tom Summit & Festival The Tom Tom Summit & Festival is an annual event with the following mission:
5 actionable steps to get your data ready for price optimization with ML
There’s some great theory around about pricing with machine learning (ML) and, in particular, the importance of the “right” data to build a successful ML model. In practice, though, we’ve seen that there’s a lot of confusion around the data types and formats that retailers can use to automate pricing or to implement price optimization systems using ML. That’s why we came up with 5 steps every company can take to prepare its data for price optimization.
11 questions to ask before starting a successful Machine Learning project
Machine Learning (ML) algorithms are changing nearly every industry. They’re increasing productivity, boosting sales and helping us make more informed decisions. Many organizations are either already leveraging the power of ML, or have it laid out in their roadmap as an opportunity worth pursuing. Trouble is, ML is complex and you might ask yourself what you need to consider when starting a ML project. Asking that question is absolutely right!
The major advancements in Deep Learning in 2018
Deep learning has changed the entire landscape over the past few years. Every day, there are more applications that rely on deep learning techniques in fields as diverse as healthcare, finance, human resources, retail, earthquake detection, and self-driving cars. As for existing applications, the results have been steadily improving. At the academic level, the field of machine learning has become so important that a new scientific article is born every 20 minutes.
How we built a stand-in robot for remote workers using IoT and computer vision
With clients and partners located around the globe, we’ve always had a culture of remote collaboration here at Tryolabs. We are used to joining meetings no matter where we are, using tools such as Slack, Google Hangouts, and Zoom. A sweet consequence of this is a generous work from home policy, allowing us to work from home whenever we want. Trouble is, working remotely leads to us missing out on all the fun that takes place outside of meetings when we’re not connected.
How Machine Learning is reshaping Price Optimization
The challenge of setting the right price Setting the right price for a good or service is an old problem in economic theory. There are a vast amount of pricing strategies that depend on the objective sought. One company may seek to maximize profitability on each unit sold or on the overall market share, while another company needs to access a new market or to protect an existing one. Moreover, different scenarios can coexist in the same company for different goods or customer segments.
My PyCon APAC 2018 experience in Singapore
Earlier this year, I was invited to give a keynote talk at PyCon APAC, to be held in Singapore on May 31 – June 2, 2018. It is always an honor to be asked to be a keynote speaker, and this particular conference was taking place in Asia-Pacific – a region which I did not know too much about, since nearly all our clients are based in the US. Eager to explore something different and learn about a new community, I said yes!
Software consulting meets hardware consulting: learnings and opportunities
As a software consulting shop specialized in Machine Learning, the hardware world seems distant. However, at the end of the day, it’s crucial for many activities we do. We’re living in a highly connected world where IoT and other portable devices are gathering more and more data to later be analyzed by algorithms. That said, the hardware and software world will need to come evermore together and we feel that a deeper collaboration between these two sides of the same coin will be necessary.
Introduction to Recommender Systems in 2019
Many e-commerce and retail companies are leveraging the power of data and boosting sales by implementing recommender systems on their websites. In short, these systems aim to predict users’ interests and recommend items that quite likely are interesting for them. Data required for recommender systems stems from explicit user ratings after watching a movie or listening to a song, from implicit search engine queries and purchase histories, or from other knowledge about the users/items themselves.