Monday, October 2, 2023

The world is changing

The 10 Disruptive RPA Companies to Watch 2019


On the cover

Marios Stavropoulos

Co-founder CEO, Softomotive

Softomotive’s unique People1st Approach to RPA is a totally different way of deploying RPA that puts the power in the hands of the end user or “citizen developer” to automate, what they want, when they want.

Why RPA?

What we love about RPA is the fact it’s making us fix a lot of the systems we’re currently stuck with, using sensible, affordable technology.

inside track



Jon Gilman, Founder & CEO

Ram Mohan, President, CEO (IMSS), Happiest Minds Technologies

Denise Oliver, CEO

Amjad Hussain, Founder & CEO

Jaideep Mudholkar, Co-Founder & Managing Director

Sameer Dania, Global Head, Business Development, - RPA & CX Platformsat

Rajesh Agarwal, SVP & Head of Robotic Process Automation


The Rise of Finance Robo-Advisors

Research shows that 230,000 jobs in the sector could disappear by 2025, filled by “artificial intelligence agents”.

Stop working while travelling, it doesn’t help anyone

Technology itself does not explain why work is performed outside of regular hours. For that we need to look at organisational culture.

How young people really feel about digital technology?

GenTech have woken up to a reality where a life lived “plugged in” has significant consequences for their individual privacy.

Robots + Internet of Things. A new future?

There is a growing view that the next evolution of the Internet of Things will be to incorporate them into the network – opening up thrilling possibilities along the way.

Robots might be trained like children. Here's why?

Instead of trying to produce a programme to simulate the adult mind, why not rather try to produce one which simulates the child’s? If this were then subject....

The growing trade wars over digital data

Some developing country alliances are now looking to roll back other digital trade commitments in the WTO which they see as damaging.

The role of artificial intelligence and machine learning in the military.

It is better to always be skeptical, and approach machine learning with the discipline you apply to software engineering

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