Data Data science Government Retail 
erwin
JUNE 11, 2020
What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Healthcare.
Reltio
JULY 2, 2019
Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
IBM Big Data Hub
OCTOBER 20, 2023
AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.
Collibra
MARCH 4, 2020
The data is in, and we all get it: It’s a strategic asset. We’re almost at the point where data can be officially listed, even quantified, on the balance sheet as a competitive advantage. . Companies use data to achieve digital transformation. Their initial role had a lot to with ensuring compliance and securing all data assets.
The Last Watchdog
JANUARY 7, 2019
When CyberTown, USA is fully built out, it’s backers envision it emerging as the world’s premier technology hub for cybersecurity and data science. It’s mission has been to seek out and assist government cyber specialists in a position to enter the private sector and build commercial cyber and data science companies.
Reltio
DECEMBER 10, 2021
Your data fuels your business and your digital transformation. Your ability to run a digital business and make insightful decisions depends heavily on how well you manage your core data. Yet, these days with the proliferation of apps and data stores across cloud and on-premises environments, managing your data is not a trivial task.
IBM Big Data Hub
SEPTEMBER 20, 2023
With the increasing importance of processing data where work is being performed, serving AI models at the enterprise edge enables near-real-time predictions, while abiding by data sovereignty and privacy requirements. First, enterprises produce a vast amount of unlabeled data, only a fraction of which is labeled for AI model training.
Expert insights. Personalized for you.
103 
Let's personalize your content