CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 289

Artificial Inteligence Data Artificial Intelligence Analytics 289

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Understanding Business Strategy , August 14. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25.

Course 65

Course Training Artificial Inteligence Software Review 65

CTOvision

FEBRUARY 4, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Chief Information Officer, Defense Information Systems Agency.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Chief Information Officer, Defense Information Systems Agency.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Understanding Business Strategy , August 14. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25.

Course 50

Course Training Artificial Inteligence Software Review 50

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

JUNE 26, 2019

business analysts as an end-user specialist. So that the development team is able to fix the most of usability, bugs, and unexpected issues concerning functionality, system design, business requirements, etc. users of a previous version of a product. stakeholders involved in the development.

Quality Assurance 85

Quality Assurance Testing Weak Development Team Software Review 85