Rocket-Powered Data Science

JULY 6, 2021

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. 2) MLOps became the expected norm in machine learning and data science projects.

Machine Learning

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. 2) Why should your organization be doing it and why should your people commit to it? (2) 2) Why should your organization be doing it and why should your people commit to it? (3)

Strategy

Dataiku

JANUARY 12, 2021

Machine learning (ML) models deployed in production are usually paired with systems to monitor possible dataset drift.

Machine Learning

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented.

Strategy

Occam's Razor

SEPTEMBER 29, 2009

My absolute favorite branding campaign of all time: Think Different. If supported by "data" then it tends to be of the most fragile kind (usually the the fact that the CEO saw it during the Super Bowl and felt happy suffices as actionable data). " Admit it, you've heard it. I love campaigns that Visa runs.

Measurement

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. Data takes a long journey.

Metrics

CIO Business Intelligence

FEBRUARY 2, 2023

Throughout my career at Textron, I have had many roles, spanning supply chain, manufacturing, integrated product teams, and working on helicopter programs. That then led to an increasing involvement of trying to move data across the enterprise to compare manufacturing operations around the world.

Manufacturing

Occam's Razor

JANUARY 4, 2021

Like you, I consume a whole lot of reports every day – company data, public data. A report usually has a hard time explaining why something is going awry or going really well. That is why you have job security as an Analyst!). Your challenge is that senior leaders will always only ask for data.

Reporting

CIO Business Intelligence

JUNE 28, 2022

Some call data the new oil. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management

DataRobot

JUNE 29, 2021

Why do I think this? Machine learning models trained on 2019 data didn’t know what to do. With Continuous AI, you can create multiple MLOps retraining strategies to refresh your production models based on the schedule of your choosing—like when accuracy drops below a predetermined threshold or data drift occurs.

Machine Learning

IBM Big Data Hub

SEPTEMBER 6, 2023

This is, by far, my favorite time of year. My Miami Hurricanes are off to another strong start. Between games, I’m checking the waiver wire on the ESPN Fantasy app, looking for available players who can strengthen my lineup. But this is my job, and it’s actually serious business. The kids are back at school.

Business Objectives

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. It’s your first leadership meeting, and she gives you this look – where are my numbers?

Metrics

Occam's Razor

DECEMBER 21, 2009

You know what is the one thing stopping you from finding truly actionable insights from your web data? Web analytics gems lie deep in the data and we spend our lives looking at the top ten rows of data. We look at the top ten rows of data because: 1. Too much data from our web analytics tools. Affiliates.

Metrics

Alation

AUGUST 18, 2022

How do you approach data lineage? We all know that data lineage is a complex and challenging topic. There are several reasons why I am compelled to address it: I continue to meet people who don’t understand how to frame and put the lineage challenge in context. What Is Data Lineage Creation & Maintenance?

Metadata

Occam's Razor

SEPTEMBER 30, 2008

"Dear Avinash" is an occasional series where I share some of my answers that might benefit the greater ecosystem. One that focuses on presenting data, the second an approaching to analyzing trends. " "Why don't the peaks line up?" I get a lot of emails with questions, atleast 10 to 15 each day.

KPI

CIO Business Intelligence

JANUARY 3, 2024

There’s also the ever-present threat of copyright lawsuits related to AI-generated text and images, accuracy of AI-generated content, and the risk of having sensitive information become training data for the next generation of the AI model — and getting exposed to the world. There’s no clear leader in the market yet.”

Risk

DataRobot

JUNE 30, 2021

My customers have asked me what they should do to address this. Underspecification refers to machine learning models that do not contain enough information to perform well on new unseen data. Underspecified models give us the illusion of good predictive accuracy when we evaluate them on their training data. Explainability.

Machine Learning

DataRobot

MAY 14, 2021

Now, on to a few of my takeaways from the event: Introducing Augmented Intelligence. Machines bring unparalleled power, speed, and efficiency to processing large data sets and routine tasks based on a set of rules. In 2021, we are embracing the code-first data scientist. I was happy to share our vision or Augmented Intelligence.

Data-driven

bridgei2i

JANUARY 25, 2022

In this episode of the AI to Impact Podcast, host Shivalika interacts with Kishore Kumar, Technical Lead & Senior AI Solutions architect at BRIDGEi2i, to know all about how MLOps is transforming the landscape for data scientists and engineers alike. And lucky for me, he’s not just my manager, but also my mentor. Transcript.

Machine Learning

IBM Big Data Hub

AUGUST 16, 2023

Before your first sip, Ruchir says, “I’ve changed my mind, I need to leave and would like my apple back.” Why not use ChatGPT directly in the enterprise? which underscores the importance of data privacy and ownership in the enterprise. Similarly, Meta recently released its impressive LLaMA2 model.

Risk

erwin

MAY 18, 2022

Last week, Quest released erwin Data Intelligence by Quest version 12.0, a pivotal release for erwin Data Intelligence customers. Industry analysts, data domain field experts and erwin Data Intelligence customer advisory board members have all shown positive early reactions to its new capabilities in several key areas.

Data Quality

DataRobot Blog

DECEMBER 1, 2022

Artificial intelligence (AI) can help improve the response rate on your coupon offers by letting you consider the unique characteristics and wide array of data collected online and offline of each customer and presenting them with the most attractive offers. How Can AI Target the Right Prospects with Sharper Personalization?

Machine Learning

O'Reilly on Data

JULY 25, 2023

These posts often recount someone trying ChatGPT or Copilot for the first time with a few simple prompts, seeing how it does for some small self-contained coding tasks, and then making sweeping claims like “WOW this exceeded all my highest hopes and wildest dreams, it’s going to replace all programmers in five years!”

Consulting

Occam's Razor

OCTOBER 19, 2010

I was reflecting on that recently and thought it was incredible that in all my years of writing this blog I have never written a blog post, not one single one (!!), My goal is to give you a list of tools that I use in my everyday life as a practitioner (you'll see many of them implemented on this blog). Of course tools.

Analytics

Occam's Razor

AUGUST 28, 2017

Why the implications are far deeper for humanity than we imagine. Why in my areas of expertise, marketing, sales, customer service and analytics, the impact will be deep and wide. Why is this not yet another programmatic moment. Today I want shed some light on these whys , and a bit more. So are we “doomed”?

Deep Learning

Occam's Razor

JULY 6, 2016

Analysts, honestly, make the world go round when it comes to any successful business – yes, data is that important. Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports! But, perhaps I'm at fault for creating the problem of you spending all your time with data.

Testing

Occam's Razor

JUNE 4, 2018

It is 2018—why are there still light gray below-the-fold add to cart buttons? It is 2018—why are there still light gray below-the-fold add to cart buttons? My heart bleeds digital. By every indicator available, ecommerce is continuing to grow at an insane speed. youarekillingme. There are numerous subtle issues as well.

Strategy

Rita Sallam

APRIL 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization

CIO Business Intelligence

JANUARY 24, 2024

On the other hand, adversaries can also leverage LLMs to make attacks more efficient, exploit additional vulnerabilities introduced by LLMs, and misuse of LLMs can create more cybersecurity issues such as unintentional data leakage due to the ubiquitous use of AI. I will share what we have learned in the past year and my predictions for 2024.

Modeling