2023-11-19
random thoughts and articles from the past week
(tags: "weekly recap" )
2023-11-12
2023-11-05
2023-10-29
2023-10-26
Let's remember the human element in AI-driven content moderation
(tags: "AI" )
2023-10-24
Understanding table stakes for an AI modeling effort
(tags: "data literacy" , "metrics" )
2023-10-22
2023-10-17
Wider AI truths, as surfaced by LLM failures
(tags: "AI" , "data literacy" , "generative AI" , "ChatGPT" )
2023-10-15
2023-10-08
2023-10-01
2023-09-27
What the stock photo company's new service tells us about safe-to-use datasets
(tags: "generative AI" , "AI" )
2023-09-24
2023-09-19
What's the next step in AI?
(tags: "Radar" , "AI" )
2023-09-18
Seven questions to help you improve your training data.
(tags: "data literacy" , "risk" )
2023-09-17
2023-09-13
A recent Mozilla report about modern cars highlights privacy concerns
(tags: "adtech" , "data ethics" )
2023-09-10
2023-09-04
description
(tags: "data ethics" , "adtech" , "marketplaces" )
2023-09-03
2023-08-27
2023-08-20
2023-08-13
2023-08-11
It sounds like something more than a simple cash-grab
(tags: "marketplaces" )
2023-08-10
Lessons from an AI chatbot's terrible recipe ideas.
(tags: "risk" , "data literacy" , "generative AI" , "ChatGPT" )
2023-08-06
2023-08-01
Reflections on operational risk, in light of the anniversary of the Knight Capital meltdown
(tags: "risk" , "algo trading" )
2023-07-30
2023-07-23
2023-07-22
The risks and rewards of using vendor APIs for generative AI models
2023-07-16
2023-07-10
Success in AI requires that you learn some things and unlearn others.
(tags: "data literacy" )
2023-07-09
2023-07-06
We have off-the-shelf models and turnkey data tools. Why do you need to hire data scientists, then?
(tags: "employment" , "data literacy" )
2023-07-03
(tags: "data literacy" , "generative AI" , "ChatGPT" )
2023-07-02
2023-06-25
2023-06-18
2023-06-11
2023-06-04
2023-05-30
A reminder that risk and reward are a package deal
(tags: "risk" )
2023-05-28
2023-05-23
A handful of all-too-common pitfalls in hiring.
(tags: "AI" , "employment" )
2023-05-22
Releasing an AI chatbot exposes your company to new risks. Here are some ideas on how to handle them.
(tags: "AI" , "risk" , "generative AI" , "AI safety" )
2023-05-21
2023-05-16
Making the case for an experienced generalist with software skills.
(tags: "employment" )
2023-05-14
2023-05-07
2023-04-30
2023-04-25
Having trouble filling those data roles?
2023-04-23
2023-04-17
(tags: "communication" )
2023-04-16
2023-04-09
2023-04-02
2023-03-30
If you want the most out of AI, you need to be strategic about how you employ it.
(tags: "AI" , "data literacy" )
2023-03-26
2023-03-23
A reminder of generative AI's chaotic potential
(tags: "AI" , "generative AI" , "AI safety" , "risk" )
2023-03-21
Using automation to double down on an ineffective metric.
(tags: "metrics" )
2023-03-19
2023-03-15
The artist currently and formerly known as "AI" gets another turn on the stage.
(tags: "AI" , "crypto" )
2023-03-13
A stakeholder's view of how data scientists build and deploy ML models.
2023-03-12
2023-03-05
2023-02-26
2023-02-24
What custom software can tell us about bringing AI into a company.
(tags: "AI" , "strategy" )
2023-02-22
Operating on bad metrics is worse than having no metrics at all.
2023-02-21
My search for the major use case for web3
(tags: "Radar" , "web3" )
2023-02-19
2023-02-17
Asking "why?" more often.
2023-02-16
Some metrics are good, some are bad. But even the good ones can be bad if you're not careful.
2023-02-13
My take on tools such as Dall-E, Stable Diffusion, and ChatGPT
(tags: "AI" , "generative AI" , "ChatGPT" )
2023-02-12
2023-01-19
Risk mitigation for your ML/AI projects
(tags: "data literacy" , "AI" , "risk" )
2023-01-17
Automated machine learning (autoML) and its impact on the ML/AI space
2023-01-11
A short list of ways an ML/AI modeling project can go off the rails
2023-01-09
Is it time to update your ML models?
(tags: "data literacy" , "AI" )
A quick on the FTC's recent proposal, and a link to something I wrote almost a decade ago
2022-12-07
Why this question deserves a deeper conversation.
(tags: "data literacy" , "strategy" , "AI" )
2022-11-14
The video IS the advert
2022-11-09
In light of the recent layoffs in the big-named tech firms
2022-10-24
Using spreadsheets to explain core ML/AI concepts to executives.
2022-10-17
Measure what matters
2022-08-16
Disney+ has announced an ad-supported tier. Here's my idea on how they might run it.
(tags: "Radar" , "adtech" , "marketplaces" )
2022-07-25
An update on my web3 newsletter
(tags: "announcements" )
2022-05-30
The second article in a short series on N-sided marketplaces
(tags: "Radar" , "marketplaces" )
2022-05-23
I've launched a newsletter covering web3: cryptocurrencies, blockchain, and metaverse
(tags: "web3" , "announcements" )
2022-04-25
N-sided marketplaces are very common in the business world. What are they, and how do they work?
2022-04-11
Some datasets are problems in waiting.
(tags: "risk" , "AI" )
2022-04-04
Potential problems that can affect the entire field.
2022-03-21
Adopt a popular expression to improve your risk awareness and assessment.
2022-03-14
Sometimes, you have to tackle a challenge head-on.
2022-03-07
Keeping the bigger picture in mind.
2022-02-07
You'll see fewer posts here for a while, as I pursue some new projects
2022-01-17
The second part of my interview with product manager Chris Butler, this time on communal computing and AI.
(tags: "podcast" )
2021-12-20
My panel discussion with Linda Liu (Hyrecar) and Giacomo Vianello (Cape Analytics)
(tags: "podcast" , "AI" )
2021-12-06
Zillow recently closed down its home-buying program. Do I see this as a failure of ML/AI? In a word: No.
(tags: "AI" , "risk" )
2021-11-15
I've published an article on O'Reilly Radar: The key ingredient to a successful remote team? Leadership buy-in.
2021-11-08
I interviewed product manager Chris Butler about the role uncertainty plays in AI product management.
(tags: "podcast" , "risk" , "AI" )
2021-11-01
Best practices to balance the risk and reward of building predictive models.
2021-10-18
Spotting opportunities to build AI systems that complement, not outright replace, people on the job.
2021-10-04
BI is periods. AI is question marks. Simulation is ellipses.
2021-09-27
When talking with your company's data scientists, does the conversation quickly bog down? Try these questions to keep things moving.
(tags: "data literacy" , "AI" , "communication" )
2021-09-20
Want to improve your risk assessment? Identify, then question, the constants in your world.
2021-09-13
Nervous about meeting with your company's execs, legal counsel, or product team? Just answer these four questions.
(tags: "AI" , "communication" )
2021-08-30
I've published an article on O'Reilly Radar: how many times will we rename the data field?
2021-08-23
Three steps can reduce churn in your company's data leadership role(s).
(tags: "AI" , "data literacy" , "employment" )
2021-08-09
Humans versus machines? To reduce your risk, the best answer is "yes."
2021-08-02
As we learn more about AI, what will change about how we develop and deploy it?
2021-07-26
Learning how to handle risk, from the fields that do it well.
2021-07-19
Every company needs someone to be their extra eyes.
2021-07-12
An introduction to risk.
2021-06-28
In search of ML/AI success? Know your hard and your soft numbers.
2021-06-14
Does the AI hype meet the technical term of a "bubble?"
2021-06-07
Putting AI to good use in a dangerous environment.
2021-05-31
Lemonade's recent media spotlight is a cautionary tale for any company using ML/AI.
2021-04-19
Discipline pays off.
2021-04-12
There's a lot more to this than just building models.
2021-04-05
A little planning will go a long way.
2021-03-29
Go off the beaten path to make the most of your data-related hiring.
(tags: "data literacy" , "AI" , "employment" )
2021-03-22
Is your company getting started with ML/AI? These uncommon tips will save you time and trouble.
2021-03-15
Following the herd can be costly. Improve your ML/AI shop by following these undervalued practices.
2021-03-08
It's not just train-test-deploy
2021-03-01
What nighttime warfighting can teach us about using AI in companies.
2021-02-22
Why it's important to be able to simulate your own data.
2021-02-15
Determine whether an ML/AI project is for automation or for innovation, so you can prioritize it accordingly.
2021-02-08
Punctuation matters when working with data: BI is periods. AI is question marks.
2020-12-21
Understand which aspects of your ML/AI shop can (and cannot) give you an edge over the competition.
2020-11-10
If your company has several ML/AI efforts on the roadmap, it can be difficult to decide how to prioritize them. You can look to the stock market for guidance.
2020-10-22
I've published an article on O'Reilly Radar, on what makes a good question and what are my favorite questions to ask.
(tags: "Radar" , "communication" )
2020-09-22
It's bad enough when the model is wrong; even worse, when it's wrong and you didn't have to build it in the first place.
(tags: "AI" , "risk" , "AI safety" )
2020-09-17
Explaining the realities of how an ML/AI project may go awry.
2020-09-08
Shedding light on the hidden costs of employing ML/AI models, which can upend the price/value ratio.
2020-08-25
I've published a new article on O'Reilly Radar, on how the Covid-19 pandemic influences how we think, spend, and manage our businesses.
(tags: "Radar" )
2020-07-27
When a group predicts students' performance in lieu of holding a exam, it leads to some lessons in the deployment and use of ML/AI models.
2020-07-14
What can the world of algorithmic (electronic) trading teach us about good ML/AI practices? (Part 9 in a series)
(tags: "AI" , "algo trading" , "metrics" )
2020-07-06
What can the world of algorithmic (electronic) trading teach us about good ML/AI practices? (Part 8 in a series)
(tags: "AI" , "algo trading" , "risk" )
2020-06-15
What can the world of algorithmic (electronic) trading teach us about good ML/AI practices? (Part 7 in a series)
2020-06-03
ML/AI models still require a lot of human involvement.
2020-05-28
What can the world of algorithmic (electronic) trading teach us about good ML/AI practices? (Part 6 in a series)
2020-05-25
What can the world of algorithmic (electronic) trading teach us about good ML/AI practices? (Part 5 in a series)
(tags: "AI" , "algo trading" )
2020-05-22
What can the world of algorithmic (electronic) trading teach us about good ML/AI practices? (Part 4 in a series)
2020-05-20
What can the world of algorithmic (electronic) trading teach us about good ML/AI practices? (Part 3 in a series)
2020-05-18
What can the world of algorithmic (electronic) trading teach us about good ML/AI practices? (Part 2 in a series.)
2020-05-07
What can the world of algorithmic (electronic) trading teach us about good ML/AI practices? (Part 1 in a series)
2020-04-28
Three questions to help you gauge your risk of being laid off.
(tags: "risk" , "AI" , "employment" )
2020-04-21
Business models involving ML/AI are sitting on unrecognized risk.
2020-04-14
COVID-19 may be what gets companies to take their ML/AI efforts seriously.
2020-04-07
The AI world is sitting on all kinds of risk ... but no one wants to talk about it.
2020-03-10
Should your company's data scientists hold a PhD? Probably not.
2020-02-27
Executives want to know how to employ ML/AI in their company. They need more than just quick tips.
(tags: "data literacy" , "AI" , "strategy" )
2019-12-23
Since "more data is better," what do I do if I don't have enough?
2019-12-16
How much data do you need to build good predictive models?
2019-12-11
Looking for a data science job? It involves far more than the technical know-how.
2019-06-10
Looking at data ethics through the lens of risk. (Part 5 in a series.)
(tags: "AI" , "data ethics" , "risk" , "data literacy" )
2019-06-03
Looking at data ethics through the lens of risk. (Part 4 in a series.)
2019-05-27
Looking at data ethics through the lens of risk. (Part 3 in a series.)
2019-05-20
Looking at data ethics through the lens of risk. (Part 2 in a series.)
2019-05-13
Looking at data ethics through the lens of risk. (Part 1 in a series.)
2018-02-19
How can business intelligence (BI) launch your data efforts, and pave the way for your first data science hire?
2018-01-30
Having trouble hiring data scientists? or, once you hire them, do they not stick around? You may be tripping over your own feet. Part 2 of 2.
2018-01-23
Having trouble hiring data scientists? or, once you hire them, do they not stick around? You may be tripping over your own feet. Part 1 of 2.
2016-11-28
Having trouble hiring data scientists? Borrow some ideas from your sales team.
2016-11-21
A successful data science shop requires more than just data scientists.
2016-02-17
The what, why, and how of a data strategy -- a road map for your company's data efforts
2015-10-14
Stack the deck in your favor when hiring people into your data team.
2015-09-28
Moving from a technical to a leadership role
2015-02-10
Data science is all the rage, but some companies focus on hiring just data scientists. Be careful.
2015-01-02
Let's walk through the decision of whether your company would benefit from building a Hadoop cluster.
2014-10-07
Tech noncompetes can raise thorny issues. We offer some ideas to smooth things out.
2014-06-09
2014-04-07
use your customer data to really engage your customers
2014-01-29
a look back at ORD Camp 2014
2013-11-20
2013-10-15
Similarities between music producers and consultants
2013-10-07
2013-10-03
Business Models for the Data Economy
(tags: "publication" )
2013-09-30
announcing a new service: R training
2013-07-01
2013-06-11
2013-05-29
2013-05-07
2013-04-25
2013-01-20
2013-01-08
2012-12-15
2012-07-31
2011-12-26
2011-07-05
2011-06-30
2011-05-31
2011-05-27
2011-05-26
2011-03-30
2011-01-30
2011-01-25
2011-01-22
2011-01-15
2011-01-01
2010-09-27
2010-01-12
2009-06-19
2008-12-29
2008-12-05
2008-10-04
2008-09-16
2008-08-24
2008-08-19
2008-06-29
2008-02-08
2007-09-03
2007-07-24
2007-06-19
2007-03-20
2006-11-25
2006-11-05
2006-05-21
2006-05-17
2006-05-09
2006-05-07
2006-05-04
2005-10-02
2005-07-18
2005-06-22
2005-06-19
2005-06-12
2005-05-24
2005-05-01
0001-01-01