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There have been tons and tons of implementations around the world of my wonderfully profitable See-Think-Do-Care business framework. This is immensely gratifying. Over the last year, I've also worked with many companies to drive new and rapid innovation in their digital strategies using the framework. In the process, I've learned a whole lot more, evolved my thinking and refined the nuances.
I recently participated in an online web conference called Cloudcon 2015: Integration and Web APIs where I reviewed 5 signs you need better cloud integration: You’re Struggling with the Integrator’s Dilemma. You Have Unintegrated Integration: You Thought Cloud = API Utopia. You Still Have Swivel Chair Integration. You’re Considering Going Back to On-Prem Due to Diminishing SaaS Returns.
Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. We worked in partnership with a couple of AT&T groups and made rapid strides. The AT&T groups that applied our methods made order-of-magnitude improvements and, in so doing, saved tens of millions of dollars per year.
Over the past year, I’ve been using Parse‘s free backend-as-a-service and web hosting to serve BCRecommender (music recommendation service) and Price Dingo (now-closed shopping comparison engine). The main lesson: You get what you pay for. Despite some improvements, Parse remains very unreliable, and any time saved by using their APIs and SDKs tends to be offset by having to work around the restrictions of their sandboxed environment.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Recently the Alberta government hosted Apps for Alberta - a competition using the province’s open data. Being an Alberta-based data visualization firm, we felt encouraged, perhaps even duty-bound, to enter. So we did. We managed to pull together a couple submissions, the first of which is a look at high school grades in the province. In an ideal world , you start by asking: What question am I helping to answer?
It’s 4:45 pm on a Friday before a long weekend, your manager stops by your cubicle and has a last minute task for the team that needs to be done before everyone leaves for the day.
In the past month, I’ve spent some time on my album cover classification project. The goal of this project is for me to learn about deep learning by working on an actual problem. This post covers my progress so far, highlighting lessons that would be useful to others who are getting started with deep learning. Initial steps summary The following points were discussed in detail in the previous post on this project.
In the past month, I’ve spent some time on my album cover classification project. The goal of this project is for me to learn about deep learning by working on an actual problem. This post covers my progress so far, highlighting lessons that would be useful to others who are getting started with deep learning. Initial steps summary The following points were discussed in detail in the previous post on this project.
Awakened by the force of the promotion of the film franchise’s new movie coming out in a time not too long from now in a theater not too far away, Star Wars has been on my mind a lot lately. In particular, the iconic scene from The Empire Strikes Back when Luke Skywalker’s Jedi training is disrupted by his premonition of his friends in pain in a city in the clouds keeps floating back to me.
This page summarises the deep learning resources I’ve consulted in my album cover classification project. Tutorials and blog posts Convolutional Neural Networks for Visual Recognition Stanford course notes: an excellent resource, very up-to-date and useful, despite still being a work in progress DeepLearning.net’s Theano-based tutorials: not as up-to-date as the Stanford course notes, but still a good introduction to some of the theory and general Theano usage Lasagne’s documen
It’s 4:45 pm on a Friday before a long weekend, your manager stops by your cubicle and has a last minute task for the team that needs to be done before everyone leaves for the day.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Brevity, according to Shakespeare, is the soul of wit. When it comes to the language used to describe the current and future state of information technology (IT), brevity seems to be the soul of it as well. Consider, for example, how much of IT is encapsulated into a single word— Cloud. To cloud or not to cloud is no longer the question. The question is how to cloud, and its multiple choice answers are also single words: Public, Private, Hybrid.
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