CIO Business Intelligence

APRIL 4, 2022

The early days of the pandemic taught organizations like Avery Dennison the power of agility and experimentation. I started booking lots of meetings. Employee crowdsourcing can yield breakthrough ideas. The DICE team initiated 31 experiments, with 37% of those scaling to production on completion. .

Experimentation 133

Experimentation Interactive Business Objectives Manufacturing 133

CIO Business Intelligence

FEBRUARY 26, 2024

Here, in an extract from his book, AI for Business: A practical guide for business leaders to extract value from Artificial Intelligence , Peter Verster, founder of Northell Partners, a UK data and AI solutions consultancy, explains four of them. But some common characteristics are central to AI transformation success.

Experimentation 124

Experimentation Cost-Benefit Digital Transformation Risk 124

CIO Business Intelligence

SEPTEMBER 9, 2022

In his classic book Code Complete , Steve McConnell describes the WIMP (Why Isn’t Mark Programming) principle. It refers to the phenomenon of a coding leader (an Army colonel in the book’s example) wondering why the programmers don’t appear to be working. . Passion and space to innovate.

Software 131

Software Experimentation Measurement Marketing 131

CIO Business Intelligence

FEBRUARY 21, 2024

Phil Ventimiglia, chief innovation officer, GSU Georgia State University GSU also uses AI-driven tools for adaptive learning, where students attend a class, but then access the course content through digital books and other tools, which then learn about the students — and even customize teaching guides or practice tests to better prepare them.

Recreation/Entertainment 133

Recreation/Entertainment Experimentation Modeling Data-driven 133

DataRobot Blog

JANUARY 17, 2023

order books, flows, expectations, positioning). As discussed, we massively accelerate that process of experimentation. For price discovery (e.g., TRACE, Asian bond market reporting, ECNs’ trade history) as well as a clear set of more liquid assets which can be used as predictors (e.g., prices) isn’t enough.

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

CIO Business Intelligence

AUGUST 4, 2023

For instance, the IRCTC online booking portal came into India well before tech giants like Amazon and was responsible for many of the mainframes that started the planning and scheduling of trains. What are some unique data and cybersecurity challenges when helming such a vast locomotion technology company?

IoT 94

IoT Manufacturing Experimentation Digital Transformation 94

Perceptual Edge

APRIL 9, 2019

I spend a great deal of time reading books. The new book, How Attention Works: Finding Your Way in a World Full of Distraction , by Stefan van der Stigchel, definitely qualifies as extraordinary. Stigchel is a professor in the Department of Experimental Psychology at Utrecht University in the Netherlands.

Visualization 75

Visualization Experimentation Advertising Management 75

Occam's Razor

NOVEMBER 13, 2009

I am absolutely thrilled that my book Web Analytics 2.0 The waterfall of positive feeling stems from the fact that this book was very hard to write. I only had one job, at Intuit, when I wrote my first web analytics book. The Pitch: I invite you to consider buying my second web analytics book. Request for help.

Analytics 71

Analytics Metrics Measurement Testing 71

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Read the AI governance e-book The post Bring light to the black box appeared first on IBM Blog.

Metadata 73

Metadata Risk Experimentation Dashboards 73

Sisense

MARCH 6, 2019

This is why I liked that James Richardson, Sr Director Analyst at Gartner, chose to share a slide with the titles of the three books written by one of my favorite authors – Yuval Noah Harari. I was very happy to see that the first key message – “Data Driven” – was subtitled with “Adopt an Experimental Mindset”.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

Data Science 101

OCTOBER 15, 2023

That’s going to use the various existing computing technology in and around the experimentation of this new capability. The timescale of deep tech is always so I’d urge anyone curious about a career in quantum computing to read @drchrisferrie ’s perfectly titled (and hilarious) book. What can you say about the book you are writing?

Risk 107

Risk Marketing Consulting Technology 107

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Read out Free E-book: The DataOps Cookbook. Also, our Second Free E-book: Recipes for DataOps Success. What is DataOps. Low error rates. Collaboration across complex sets of people, technology and environments.

Testing 157

Testing Dashboards Measurement Experimentation 157

Data Science 101

JANUARY 15, 2020

We all are familiar with experiments , we read about them in books or newspapers. Some pitfalls of this type of experimentation include: Suppose an experiment is performed to observe the relationship between the snack habit of a person while watching TV. Bias can cause a huge error in experimentation results so we need to avoid them.

Experimentation 96

Experimentation Statistics Measurement Testing 96

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. I prefer to talk about changes in direction or strategies that don’t work,” instead of thinking an experiment or project has failed if it doesn’t work the way you thought it would, says Lorraine Marchand, author of the new book, The Innovation Mindset: Eight Essential Steps To Transform Any Industry.

Experimentation 132

Experimentation Consulting Technology Machine Learning 132

CIO Business Intelligence

JUNE 12, 2023

There are sales calls and workshops, and some book meetings right into the calendar. Of course, he says, it’s interesting to try something experimental, but investing requires greater commitment to the business case. In addition to many things being casually called AI, the sales pressure has also considerably increased.

Sales 52

Sales Machine Learning Experimentation Deep Learning 52

O'Reilly on Data

SEPTEMBER 11, 2018

Principles for ethical data handling (and human experimentation in general) always stress "informed consent"; Nissenbaum’s discussion about context suggests that informed consent is less about usage than about data flow. What might that responsibility mean? We now understand that's naive. Save everything” invites troublesome data flows.

Advertising 169

Advertising Insurance Experimentation Strategy 169

CIO Business Intelligence

OCTOBER 9, 2023

Hyatt’s experimental mindset and listen-first approach are heavily applied to IT’s pursuit of innovation, he says. “My overarching priority is ensuring my team’s work is grounded in listening and finding ways for technology to create property-level flexibility and enable organizational growth through innovation,’’ Hewitt says.

Strategy 136

Strategy Technology Experimentation Testing 136

CIO Business Intelligence

OCTOBER 18, 2023

In his book The Coming Wave: Technology, Power, and the Twenty-First Century’s Greatest Dilemma , Mustafa Suleyman, co-founder of DeepMind (owned by Google) and now CEO of Inflection AI, warns about the combination of more advanced generative AI with synthetic biology.

Risk 139

Risk Manufacturing Enterprise Technology 139

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. Data Collection The AIgent leverages book synopses and book metadata.

Modeling 59

Modeling Metadata Publishing Sales 59

Sisense

JANUARY 21, 2020

As an example, I’ll present a case from The Book of Why by Judea Pearl. If you don’t have the time to read “The Book of Why,’” you can refer to Towards Data Science. Another study showed using experimental studies that the paradox might occur, and that people are often poor at recognizing it. See Kievit, Rogier, et al. ).

Testing 104

Testing Risk Data-driven Statistics 104

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Occam's Razor

APRIL 8, 2013

This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. They preserve almost all original intent, but if you read the book, or see the cycle elsewhere, please don''t be surprised to see a slightly different version. KPI: Property bookings.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Mark Raskino

AUGUST 30, 2017

Next time you have a truly breakthrough digital business idea in front of you, and you are wondering whether it’s yet safe to risk the money, brand capital and personal reputations on an experimental foray into an unknown future, take second look at your map of the world. Maybe that’s the best place to make it work.

Testing 53

Testing Experimentation Uncertainty Risk 53

Occam's Razor

AUGUST 22, 2011

Book Articles. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Book Articles. Book: In Stores Now!! Web Analytics Books! Web Analytics: An Hour A Day – Book Update. " ~ Compiled Knowledge: "Why does that happen? How can I make this work?

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

MARCH 23, 2021

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). There is so much packed in each box, I could write a 98-page book for each. :). A reflective assignment for you.

Analytics 131

Analytics Scorecard Strategy Testing 131

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. It has been such an amazing journey to write the book, and for it to come up almost exactly a year after I started this blog. Damini, Chirag and now the book! :). Part One: The book (my side of the story, details).

Analytics 60

Analytics Metrics Marketing Dashboards 60

Occam's Razor

JANUARY 9, 2012

If they did, I would go having to remember which app to use to search for a hotel to having an app that is central to my life (and TripIt provides such value that it is) that I use all the time and that I will of course use when I have to think about booking any travel. The 2015 Digital Marketing Rule Book. One more example.

Marketing 140

Marketing B2B Measurement Risk 140

O'Reilly on Data

OCTOBER 19, 2021

ML apps need to be developed through cycles of experimentation: due to the constant exposure to data, we don’t learn the behavior of ML apps through logical reasoning but through empirical observation. Adapted from the book Effective Data Science Infrastructure. This approach is not novel. Foundational Infrastructure Layers.

IT 351

IT Testing Experimentation Software 351

O'Reilly on Data

SEPTEMBER 15, 2020

My book, AI for People and Business , introduces a framework that highlights the fact that both people and businesses can benefit from AI in unique and different ways. In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time.

Cost-Benefit 299

Cost-Benefit Advertising ROI Machine Learning 299

Occam's Razor

JULY 6, 2016

If you have read either one of my books, or even bits of this blog, you would have learned of my extreme stress on experimentation in terms of fixing the user experience. Conduct your studies, wait for the result to roll in, reflect on how much there is to do (a good thing!) and get stuff fixed. Testing Kills/Delays Good Ideas.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

Occam's Razor

DECEMBER 9, 2009

This is a topic I cover in my new book, Web Analytics 2.0. I share in the book that the best model in the universe for an analytics team is a hybrid, something I call Centralized Decentralization. Chapter 14: HiPPOs, Ninjas, and the Masses: Creating a Data-Driven Culture. Pantene and Tide win but P&G as a whole still gets screwed.

Analytics 95

Analytics Data-driven Marketing Sales 95

Occam's Razor

FEBRUARY 26, 2008

1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Experimentation and Testing: A Primer. Build A Great Web Experimentation & Testing Program. # Senior Managers are biased towards themselves, but they bow to customer data and competitive opportunities.

Management 68

Management Experimentation Testing Strategy 68

Occam's Razor

JUNE 4, 2018

80 people in California have booked this destination in the last 30 days. Stretch your imagination and it is not hard to come up with some super-clever nudges that incorporate aggregate non-PII information that is public. People have shared this blouse 18 times in the last hour on Instagram. 1,846 Pins for this closet on Pinterest.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. That brings us up to circa Mother of All Demos.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

O'Reilly on Data

MARCH 23, 2023

It has helped to write a book. The world is full of uncreative boilerplate content that humans have to write: catalog entries, financial reports, back covers for books (I’ve written more than a few), and so on. And some of these things are mind blowing. Content creation Most of what’s written about ChatGPT focuses on content creation.

IT 269

IT Modeling Testing Risk 269