IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How MLOps will be used within the organization.

Data science 56

Data science Artificial Intelligence Paper Compliance 56

IBM Big Data Hub

SEPTEMBER 20, 2022

Automated, integrated data science tools help build, deploy, and monitor AI models. With AI governance solutions, a data scientist using standard, open Python libraries and frameworks can have facts about the model building and training automatically collected. Processes that provide AI governance.

Data science 57

Data science Metadata Government Access 57

CILIP

OCTOBER 8, 2019

AI will be a key tool in ensuring that content remains accessible and discoverable ? ConTech MD Clive Snell says that is why library and information mangers should be looking at the possibilities now. s technologies have the power to be just as transformative. Content delivery pioneers. Relating change to users.

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

eSecurity Planet

DECEMBER 19, 2023

We each need to consider how these trends may affect our organizations and allocate our budgets and resources accordingly: AI will turbo-charge cybersecurity and cyberthreats: Artificial intelligence (AI) will boost both attackers and defenders while causing governance issues and learning pains.

Cybersecurity 140

Cybersecurity Cloud Ransomware Risk 140

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.

Data science 77

Data science Manufacturing Artificial Intelligence Retail 77

ARMA International

SEPTEMBER 13, 2021

This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. More likely, the organization will resist DT – its new tools and processes to support new business models. This is a best-case scenario. Cloud-First.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Collibra

NOVEMBER 18, 2021

Yes, the ancient pyramids relied not only on labor and raw materials, but on data collection and analysis. . Data collection is what we do. Today, we think of Big Data as a modern concept. Cloud storage, text mining and social network analytics are vital 21 st century tools. Around 300 B.C.E.,

IT 52

IT Data collection Analytics Military 52