Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

Mobilunity

MARCH 19, 2025

Developers gather and preprocess data to build and train algorithms with libraries like Keras, TensorFlow, and PyTorch. Data engineering. Experts in the Python programming language will help you design, create, and manage data pipelines with Pandas, SQLAlchemy, and Apache Spark libraries. Strategic collaboration.

Trends 40

Trends Technical Review Development Software Review 40

ParkMyCloud

MAY 29, 2019

BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist. Cloud computing growth continues to accelerate at unprecedented rates as businesses continue to invest in cloud services like SaaS, PaaS, and IaaS. Master of Edge Computing. Cyber City Analyst.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Apiumhub

APRIL 5, 2022

M2- Data Engineering Stage: Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. Presentations by some of the leading experts, researchers and practitioners in the area.

Innovation 52

Innovation Data Case Study Artificial Inteligence 52

AWS Machine Learning - AI

JANUARY 26, 2024

Organizational interactions: Implement enterprise governance guardrails for generative AI Identify risks associated with the use of generative AI for your businesses. Work backward from production use of generative AI by developing a threat model for each application using traditional security risks as well as generative AI-specific risks.

Generative AI 137

Generative AI Artificial Inteligence Security Applications 137

BPM

JANUARY 18, 2019

As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. And once they know what business problem they are trying to solve they will have to invest in getting their analytic or AI solution over the line. 2019, oh my!

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Perficient

JANUARY 31, 2025

Also,I recommend a multi-cloud strategy for most of our client organizations for Disaster Recovery and Business Continuity purposes. However, I have been asked about the differences between AWS and Azure enough that I felt I wanted to get all of my thoughts down in one place.

Azure 64

Azure AWS Technical Advisors Disaster Recovery 64