Artificial Intelligence in motion


Posted on: November 20, 2018 by Ronald van Loon

Artificial Intelligence (AI) is rapidly growing as an up and coming technology, and considering all that it has to offer, there are certainly no doubts regarding its benefits.

The developments in recent years into the field of AI are largely unprecedented and have opened the doors towards a lot of new pathways – so much in fact that the technology is now at the stage of consistent development.

Within this changing eco system, three core ingredients have led this change, all of which have seen key developments in their own area at around the same time, enabling AI to develop at an increasing pace.

  • Data: This is the essential fuel of all AI. Without the unprecedented wave of data, we wouldn’t be able to implement so many machine learning techniques, get predictive analysis, and implement changes. Data is the raw material that AI needed to develop.
  • Knowledge: Algorithms play an important part in AI as well. While data is extremely important in itself, it is the knowledge that we use to extract sense from it that dictates the way into the future. Going into the future requires the implementation of unprecedented changes and learning methods. Machine Learning and other methods have given data the platform it needed to become a source of AI.
  • Computing power: This is at the heart of today’s revolution. Neural networks have existed since the 90s, but it is the power of computers in the world today that has led to a bigger change in AI. The fast pace of quantum computing can be accredited with the change here, as it has made the smooth running of heavy machine learning systems possible.

A mix of solutions

With these developments, the array of tools and capabilities that make up AI provide endless potential to provide a perfect mix of solutions across all industries and sectors. Indeed by using these, the world is growing hybrid, combining traditional IT, private, managed and public clouds. There are many ways in which this is being done, but Atos have captured the essence by creating a unique, hybrid experience including an amalgamation of on-site computing, private cloud, and edge computing (to ensure the security of data in the cloud, it is necessary that you incorporate the data with other solutions, to create a hybrid setting).

So how are these intelligent technology solutions being implemented in organisations, providing real-time solutions?

Connected Cooler

Objective: Coca-Cola Hellenic Bottling Company wanted to enhance customers’ experience of over 300,000 vending machines in nearly 30 countries around the world.

Outcome:

  • Unprecedented efficiency by enhanced methods of predictive maintenance and placement.
  • Better inventory, product placement, and stock optimization using interactive AI methods.
  • Increased sales by linking up targeted promotions with the connected consumers.

Prescriptive Maintenance

Objective: The State Department of Virginia was looking for a way to protect its technology infrastructure using the next generation of AI-powered cyber security solutions to identify and limit future attacks.

Outcome:

  • The prescriptive Security Operation Centre recognises hard to detect, isolated intrusions and uses the information for further detection.
  • Detects all the signals left by attacks and alerts security managers about possible risk areas, even before the attack happens.
  • Provides insight into how cyber attacks are most often carried out, and stops them from hindering services using threat detection to access point security and vulnerability management.

Digital Twin

Objective: Through an Atos and Siemens collaboration, the objective was to create a cloud-based operating system that allowed manufacturers the freedom to connect their physical infrastructure and legacy systems, to the digital world.

Outcome:

  • Using Digital Twin technology (MindSphere platform), manufacturers can create a real-time digital replica of all physical assets for comparing and analysing them in the future.
  • Creates the ability to find new ways for improving production processes.
  • Allows engineers to create a prototype of a large or small product inside the digital world and undertake online testing, prior to physical testing.

Digital Vision for AI

This article is part of the Atos Digital Vision for AI opinion paper. We explore the realities of AI and what’s ahead for organisations and society, as artificial intelligence advances fast as an enterprise solution.

Share this blog article


About Ronald van Loon

Director, Adversitement
Ronald van Loon, Director at Adversitement, a data & analytics consultancy firm, and Advisory Board Member & course advisor for leading professional certification training company Simplilearn, is a frequent influencer & public speaker for significant AI, Big Data, IoT, and Data Science events. A globally acknowledged thought leader and top industry professional across several sectors, he’s also recognized as a Top 10 Global Influencer in Artificial Intelligence, Machine Learning, Digital, Digital Transformation, Business Intelligence, and Predictive Analytics, and helps companies implement successful data and analytics strategies to meet and surpass their goals in this digital age.

Follow or contact Ronald