data-science-operationalization-keys-for-execution 
Dataiku
MAY 29, 2023
Logistically speaking, data science and AI operationalization is often more difficult for enterprises to execute on (especially compared to self-service analytics) because it requires coordination, collaboration, and change not just at the organizational level, but often at the system architecture and deployment/IT levels as well.
CIO
JULY 19, 2023
As software and data move to the center of a company’s products and services, the background and skills of the executive leadership team must evolve. Uniting key technology groups Lexmark CEO Allen Waugerman realized strategy alone won’t transform the company.
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Perficient
JANUARY 2, 2024
Our Envision Framework is an approach that helps businesses seamlessly and successfully transition from strategy to execution. Coach Finch watches many hours of film and utilizes data and analytics to make well-informed decisions on how to leverage his team’s strengths to gain advantages.
Altexsoft
JULY 23, 2020
When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. MLOps lies at the confluence of ML, data engineering, and DevOps. This article. More time for development of new models.
Openxcell
AUGUST 7, 2023
One of the key benefits of applying AI in banking and finance lies in optimizing the customer-centric experience and upgrading technological stability. Artificial Intelligence is a branch of computer science that is dedicated to creating intelligent software or computer machines that are capable of emulating human intelligence.
CTOvision
JANUARY 23, 2014
The speakers are a world-class-best mix of data and analysis practitioners, and from what I can tell the attendees will be the real action-oriented professionals from government really making things happen in Big Data analysis. Tom Reilly – Chief Executive Officer, Cloudera. 8:15 AM Morning Keynote: Big Data Mission Needs.
TechCrunch
SEPTEMBER 28, 2021
Sisu Data , which aims to help businesses make better decisions, announced today it has raised $62 million in a Series C round of funding led by Green Bay Ventures. The company’s mission is simple, even if the technology powering it is not: to operationalize the world’s data so that businesses can “make the best possible decisions.”.
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