Summary: Advanced analytics and AI are the fourth great lever available to create organic improvement in corporations. We’ll describe why this one is different from the first three and why the CEO needs the direct help of data scientists to make this happen.Continue
Added by William Vorhies on October 15, 2018 at 2:33pm — No Comments
Summary: We are entering a new phase in the practice of data science, the ‘Code-Free’ era. Like all major changes this one has not sprung fully grown but the movement is now large enough that its momentum is clear. Here’s what you need to know.
Summary: There are several approaches to reducing the cost of training data for AI, one of which is to get it for free. Here are some excellent sources.
Added by William Vorhies on October 2, 2018 at 7:23am — No Comments
Summary: If you’re still writing code to clean and prep your data you're missing big opportunities for efficiency and consistency with modern data prep platforms.
Summary: Purpose Built Analytic Modules (PBAMs) such as those for Fraud Detection represent a fourth way to practice data science, a new model for the good use of Citizen Data Scientists, and a new market for AI-first companies.
Added by William Vorhies on September 18, 2018 at 9:07am — No Comments
Summary: The role of Analytics Translator was recently identified by McKinsey as the most important new role in analytics, and a key factor in the failure of analytic programs when the role is absent.
The role of Analytics Translator was recently…Continue
Summary: How about we develop a ML platform that any domain expert can use to build a deep learning model without help from specialist data scientists, in a fraction of the time and cost. The good news is the folks at the Stanford DAWN project are hard at work on just such a platform and the initial results are extraordinary.
Added by William Vorhies on September 4, 2018 at 8:02am — No Comments
Summary: Remember when we used to say data is the new oil. Not anymore. Now Training Data is the new oil. Training data is proving to be the single greatest impediment to the wide adoption and creation of deep learning models. We’ll discuss current best practice but more importantly new breakthroughs into fully automated image labeling that are proving to be superior even to hand labeling.
Added by William Vorhies on August 28, 2018 at 7:27am — No Comments
Summary: IBM’s Watson QAM (Question Answering Machine), famous for its 2011 Jeopardy win was supposed to bring huge payoffs in healthcare. Instead both IBM and its Watson Healthcare customers are rapidly paring back these projects that have largely failed to pay off. Watson was the first big out-of-the-box commercial application in ML/AI. Has it become obsolete?
Added by William Vorhies on August 21, 2018 at 10:51am — No Comments
Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this. However, the latest trends in CNNs may make this obsolete.
Summary: Our recent series of articles on AI strategies shows the options available for the strategic direction of your AI-first company. Here are some thoughts on moving from strategy to implementation, including some useful tools to help in planning.
Added by William Vorhies on August 7, 2018 at 7:25am — No Comments
Summary: Now that we’ve detailed the four main AI-first strategies: Data Dominance, Vertical, Horizontal, and Systems of Intelligence, it’s time to pick. Here we provide side-by-side comparison and our opinion on the winner(s) for your own AI-first startup.
Added by William Vorhies on July 31, 2018 at 8:20am — No Comments
Summary: The fourth and final AI strategy we’ll review is Systems of Intelligence (SOI). This is getting nearly as much attention as the Vertical strategy we previously reviewed. It’s appealing because it seems to offer the financial advantages of a Horizontal strategy but its ability to create a defensible moat requires some fine tuning.
Added by William Vorhies on July 24, 2018 at 9:00am — No Comments
Summary: Getting an AI startup to scale for an IPO is currently elusive. Several different strategies are being discussed around the industry and here we talk about the horizontal strategy and the increasingly favored vertical strategy.
Added by William Vorhies on July 17, 2018 at 7:00am — No Comments
Summary: A defensible data strategy increasingly defines those AI businesses that will be successful. VCs know this and are steering the funding to this strategy. Read here about what a defensible data strategy is and how to identify your next AI opportunity using this technique.
Added by William Vorhies on July 10, 2018 at 7:00am — No Comments
Summary: As advanced analytics and data science have matured into must-have skills, data science groups within large companies have themselves become much larger. This has led to some unique problems and solutions that you’ll want to consider as your own DS group grows larger.
Summary: Computational Synthetic Biology (CSB) is likely to be both the next big thing and perhaps most important field to exploit data science. As the name implies, this lies at the intersection of data science and biological research. Big advancements and big investments are already starting to occur here. Data scientists with deep learning skills will want to check this out.
Added by William Vorhies on June 19, 2018 at 7:55am — No Comments
Summary: Data Science is the secret sauce that turns the dumb internet into the smart internet driving changes in society as fast as we drive changes in the internet. The best place to find data on this is Mary Meeker’s Internet Trend Report 2018. Here we use that data to look back at the last year and forward a bit in time to see what impact data science is having.
Added by William Vorhies on June 12, 2018 at 8:30am — No Comments
Not quite ready for world domination! 'Suicidal' security robot drowns itself in a fountain
A security robot created by the company Knightscope was patrolling an…Continue
Summary: There is a great hue and cry about the danger of bias in our predictive models when applied to high significance events like who gets a loan, insurance, a good school assignment, or bail. It’s not as simple as it seems and here we try to take a more nuanced look. The result is not as threatening as many headlines make it seem.
Added by William Vorhies on June 5, 2018 at 8:00am — No Comments