Data Collection Data Processing Data Quality Optimization 
O'Reilly on Data
MARCH 31, 2020
But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. At measurement-obsessed companies, every part of their product experience is quantified and adjusted to optimize user experience.
IBM Big Data Hub
MAY 15, 2024
Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Big Data
MARCH 26, 2024
A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. This is aligned to the five pillars we discuss in this post.
Andrew White
JANUARY 9, 2022
On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Much as the analytics world shifted to augmented analytics, the same is happening in data management. Are their best practices on how to pin point the data points and most effective data collecting practices?
datapine
FEBRUARY 22, 2022
In the article, he pointed to a pretty fascinating trend: “Experian has predicted that the CDO position will become a standard senior board-level role by 2020, bringing the conversation around data gathering, management, optimization, and security to the C-level.” We love that data is moving permanently into the C-Suite.
Expert insights. Personalized for you.
332 
Let's personalize your content