AI Summit Silicon Valley: John Deere wants to make agricultural equipment smart again

• Analysis
• 10/2/2020

Giving farmers a helping robot hand

AI Summit Silicon Valley: Ford embraces artificial intelligence

• Analysis
• 10/1/2020

And not just for self-driving cars

AI Summit Silicon Valley: How FedEx uses AI to improve its supply chain

• Analysis
• 10/1/2020

Say hello to Roxo

AI Summit Silicon Valley: AT&T turns to AI to meet growing network demand

• Analysis
• 10/1/2020

A tsunami of data can’t be handled by mere humans

AI Summit London: How Tesco used AI to help deal with lockdown demand

• Analysis
• 9/8/2020

Tesco’s CTO talks about the steps taken to confront the COVID crisis

AI Summit London: How McLaren Racing used its expertise to fight COVID-19

• Analysis
• 9/4/2020

CEO Zak Brown talks about the importance of speed when designing prototype cars – and medical ventilators

AI and analytics services: Capabilities and costs

• Analysis
• 8/27/2020

Which skills do you need in your team? What are the costs for running the service? How can you optimize them? These are three key questions when setting-up and running an AI and analytics service.

Shaping AI and analytics services

• Analysis
• 8/6/2020

AI and analytics teams must market themselves – and they have to have a clear service strategy

Perfect AI model, broken app: Integration patterns and testing needs

• Analysis
• 7/24/2020

It is a long way from having a working machine learning model on a local laptop to having a full-fledged fashion store with a mobile app incorporating this model

Before AI makes God, may we have a word from God?

• Analysis
• 7/24/2020

Artificial intelligence technologies are affecting all aspects of human life – including questions of faith

AI applied to morality

• Analysis
• 7/24/2020

An excerpt from 2084: Artificial Intelligence, The Future of Humanity and The God Question by Professor John C. Lennox

AI and the quest for a commercial fusion reactor

• Analysis
• 7/15/2020

An alternative approach to plasma containment could make compact nuclear fusion reactors a reality – and it would rely on artificial intelligence

AI and self-service business intelligence – competing or complementing concepts?

• Analysis
• 7/8/2020

One term – data analytics – having two meanings – AI and SSBI – this is the classic setup for misunderstandings, failing project pitches, and failed projects. But what exactly are the differences between AI and SSBI? And are they complementing or competing concepts?

It takes brains to build a sun: The role of AI in nuclear fusion

• Analysis
• 7/3/2020

AI tech is helping advance nuclear fusion – and is being pitched as the answer to the problems facing ITER, the world's largest magnetic confinement plasma physics experiment

Using AI to give classic Wimbledon matches a new lease of life in 2020

• Analysis
• 6/26/2020

Substituting for the live event, ‘The Greatest Championships’ will use AI create a modern experience for some of the most famous matches in Wimbledon history

Scoping machine learning projects: The six questions each analytics translator has to know

• Analysis
• 6/26/2020

Innovative ML projects can only succeed if they manage to transform a business problem into clear tasks data scientists can work on

How AI will enable a digital revolution in sport

• Analysis
• 6/16/2020

Looking at real examples of artificial intelligence in soccer, golf and rugby

The symbiotic relationship between 5G and AI

• Analysis
• 5/28/2020

What can AI systems do for 5G deployments? And how is 5G returning the favor?

Using AI to unlock the value of data in the utilities sector

• Analysis
• 5/28/2020

Whether optimizing back-office operations or improving customer experience, the opportunities to improve operations with AI-powered tools are endless

5G will be the catalyst for AIoT in the post-COVID world

• Analysis
• 5/27/2020

In a post-COVID world, two nascent technologies are set to become the driving forces behind the next technological revolution: 5G and AIoT

US security commission on AI considers the ethics of using citizen data to fight COVID-19

• Analysis
• 5/8/2020

Corporate-military partnership asks Congress and Trump to pass contract-tracing privacy legislation

DARPA Gamebreaker aims to train military AI systems on open world video games

• Analysis
• 5/6/2020

Working out how to balance and then destabilize real-time strategy titles

The disruptive influence of FinTech in data centers

• Analysis
• 5/5/2020

AI requires IT workloads unlike anything that financial organizations have seen before

Using AI to cope in the coronavirus era

• Analysis
• 5/4/2020

Here are seven business functions at risk and the AI solutions that could help

Artificial intelligence: The whole world is looking for talent

• Analysis
• 5/1/2020

In order for AI to continue making a phenomenal impact across industries, enterprises need to upskill and recruit the right talent

The age of the mercenary data science lab

• Analysis
• 4/28/2020

AI Business talks to Thomas Kracz about the newly-established PS AI Labs

Artificial intelligence at the edge will overshadow AI processing in the cloud over the next six to seven years

• Analysis
• 4/24/2020

To unlock the power and growth potential of AI at the edge in IoT devices, software providers must work across the AI ecosystem to promote the implementation of AI in silicon

The phenomenon of facial recognition technology in the time of social distancing

• Analysis
• 4/21/2020

“Mr. DeMille, I’m [NOT] ready for my close-up!”

So what’s all this talk about annotation?

• Analysis
• 4/20/2020

Annotation is the process of tagging all forms of data, including text, audio, and images

Informing machine learning with time series analysis

• Analysis
• 4/3/2020

When augmented with innovations in time series analysis, pattern recognition in fundamental enterprise use cases like fraud detection, security analytics, and churn reduction can be enhanced to deliver more detailed results

In defense of Europe’s approach to AI

• Analysis
• 3/27/2020

The AI White Paper has bold aims: to outline the EU’s approach to creating an ecosystem of trust and excellence for AI, signalling the start of a process that is anticipated to result in a regulatory regime

A closer look at building predictive models: The criticality of data access

• Analysis
• 3/24/2020

What is machine learning doing to your storage?

Ensuring business continuity with artificial intelligence

• Analysis
• 3/16/2020

By leveraging the rules-based side of AI to facilitate intelligent high availability, organizations can reduce the amount of data loss experienced

How the electronics industry is handling COVID-19

• Analysis
• 3/12/2020

Electronics manufacturers anticipate at least a five-week product shipment delay from suppliers due to the coronavirus epidemic

Intelligent Automation: The key to fighting financial crime?

• Analysis
• 3/4/2020

Interview with John Sabatini, who leads the Americas Anti-Money Laundering (AML) team at PwC

How AI is changing the video game industry: augmentation and synthetic media

• Analysis
• 2/26/2020

There are countless more examples of revolutionary changes in the gaming industry that have happened just over the past two decades. All of them point to the same conclusion: as technology grows and evolves, the gaming industry evolves with it

EU proposes new AI strategy: The legal commentary

• Analysis
• 2/24/2020

Experts from Baker McKenzie discuss potential changes to the EU law

TensorFlow or PyTorch? A guide to Python machine learning libraries

• Analysis
• 9/26/2019

Open-source frameworks have popped up to address all of the above applications, and now it can be confusing to decide on which library to use for which project

Image segmentation with Python

• Analysis
• 9/4/2019

A guide to analyzing visual data with machine learning