CIO Business Intelligence

MARCH 7, 2023

The message to CIOs is to do more with less, and the implication is that CIOs must look at digital transformation initiatives differently than in years past. Force-multiplying digital transformation initiatives aim to accomplish multiple strategic objectives through a single vision and investment.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

IBM Big Data Hub

NOVEMBER 3, 2023

In the age of constant digital transformation, organizations should strategize ways to increase their pace of business to keep up with — and ideally surpass — their competition. As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making.

Cost-Benefit 77

Cost-Benefit Experimentation Testing Digital Transformation 77

Business Over Broadway

MAY 22, 2019

Roadblocks for executives that prevent them from moving forward on their digital transformation initiatives: Roadblocks include poor culture, lack of skills, lack of funding, and, maybe, most importantly, no clear problem statement for why they are wanting/needing digital transformation. So, become data literate.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

bridgei2i

APRIL 28, 2020

So, in our AI to Impact podcast, we’ll now be focusing on conversations with business leaders, digital transformation advisors, as well as AI and analytics thought leaders to discuss the impact of COVID-19 on enterprises, and how enterprises can recalibrate their focus for continuity and resilience. Aruna: Got it. Aruna: Got it.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Strategy 142

Cloudera

APRIL 13, 2021

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. Unfortunately, most organizations run into trouble when it comes to bridging the gap that exists between experimentation and full-scale ML production. Still, at its core, ML is about science.

Machine Learning 97

Machine Learning Enterprise Experimentation Modeling 97

IBM Big Data Hub

JANUARY 17, 2023

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms. Data science and MLOps.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

CIO Business Intelligence

AUGUST 1, 2023

Digital transformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. IT must lead by example on where and how to experiment and when not to use a tool or proprietary data set.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

DataRobot

APRIL 29, 2021

This year’s theme of The Hunt for Transformational Growth is designed to help organizations unleash the power of enterprise AI to improve forecasts, generate actionable insights, and unlock exponential growth for businesses worldwide. This list includes: Rachik Laouar is Head of Data Science for the Adecco Group.

Machine Learning 59

Machine Learning Experimentation Data-driven Data Science 59

Domino Data Lab

OCTOBER 14, 2020

To enable a digital transformation in agriculture we must experiment and learn quickly across the entire model lifecycle. Experimentation and collaboration are built into the core of the platform. This ability enhances the efficiency of operational management and optimizes the cost of experimentation. Why Petastorm?

Experimentation 99

Experimentation Modeling Deep Learning Testing 99