article thumbnail

Replacing Legacy. Part 5: Cloud, SaaS Legacy, and AI

Analysts Corner

Here, we reflect on the reasoning behind the past, current, and future trends: Cloud deployments, SaaS (Software-as-a-Service), and AI (Artificial Intelligence). For simplicity, let’s call them XaaS (X-as-a-Service). We focus on one thesis: Cloud infrastructure works better with services built around Microservice Architecture (MSA).

article thumbnail

5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

It helps developers create and maintain highly effective machine learning applications that operate in the cloud. Among other benefits, this helps make sure global computing resources are used as efficiently as possible and allows data science companies to take advantage of these resources at a reduced cost. IBM Watson Studio.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. Infrastructure as a Service (IaaS). IaaS is delivered by all the major players including AWS, Azure, Cisco, IBM, Oracle and Google.

article thumbnail

Machine Learning Helps Improve Tronc Management Considerably

Smart Data Collective

One of the ways companies like IBM are using machine learning in employee compensation models is by using ongoing feedback rather than making pay decisions based on periodic reviews. A tronc benefit is a unique, well-organized remuneration structure for employees that distributes tips, gratuities, and service fees.

IBM cost 293
article thumbnail

International Women’s Day Mega Event 2024

GAVS Technology

Growing up amidst humble beginnings in Northeastern China, she moved to New York for her graduate studies, where she worked three part-time jobs to support herself. Usha Srikanth VP, Sectors - CIC, IBM India Usha runs the Global Delivery for Application Services Business of IBM in India.

article thumbnail

International Women’s Day Mega Event 2023

GAVS Technology

Growing up amidst humble beginnings in Northeastern China, she moved to New York for her graduate studies, where she worked three part-time jobs to support herself. Usha Srikanth VP, Sectors - CIC, IBM India Usha runs the Global Delivery for Application Services Business of IBM in India.

article thumbnail

International Women’s Day Mega Event

GAVS Technology

Growing up amidst humble beginnings in Northeastern China, she moved to New York for her graduate studies, where she worked three part-time jobs to support herself. Usha Srikanth VP, Sectors - CIC, IBM India Usha runs the Global Delivery for Application Services Business of IBM in India.