In Depth

In Depth

Artificial intelligence, automation and robotics

• Is it too soon for AI in the education landscape?

  This year saw education secretary Damian Hinds call for more tech in schools to help reduce teacher workload, but are schools ready, and how do we fix the pressing issues faced by UK education?  Continue Reading

• Can work allocation algorithms play fair?

  Allocating work by algorithm might have advantages for workers as well as employers. Can it be done fairly and with respect for “human capital”?  Continue Reading

• Inside the AI developer’s toolbox

  With so much artificial intelligence, machine learning and deep learning in development, we look at the kit programmers might find useful in their AI toolbox  Continue Reading

• West Midlands Police turns to predictive analytics

  Force is developing a system to identify potential perpetrators of violent crime and aims to target resources – but how viable is the system and what are the challenges?  Continue Reading

• The nightmare driving test: How to make sure self-driving cars are safe

  Simulating realistic environments using deep learning to enable self-driving cars to learn the rules of the road will prove more useful than any amount of real-world practice. We find out why, and meet the people doing something about it  Continue Reading

• Compute strategies for AI applications

  Devising compute strategies for AI applications can be challenging. Find out about the hardware, network and software frameworks available  Continue Reading

• Tableau CEO Adam Selipsky talks strategy

  Tableau’s CEO, Adam Selipsky, talks strategy and business intelligence trends with Computer Weekly. He asserts enterprise relevance for Tableau, predicts BI tools consolidation and a ubiquitous user base for analytics  Continue Reading

• Where next for AI? Understanding business use cases

  IT leaders share their views on artificial intelligence and how to take advantage of the technology to benefit their businesses  Continue Reading

• Interview: Andy Berks, digital product director, Asos

  Asos’s digital product director Andy Berks talks about how the online retailer has used AI and machine learning technologies – and why the needs of the customer have to come first  Continue Reading

• Time for a truce in IT’s battle with RPA

  Lack of governance and limited resources have put IT departments at loggerheads with business-led robotic process automation. But RPA and IT teams can help each other out – if they play nice  Continue Reading

• Managing digital change: The CIO challenge for 2019

  As technology changes have an increasing impact on organisations, 2019 is the year when CIOs must adapt their teams to better manage digital disruption and business innovation  Continue Reading

• Amazon AI debacle won’t stop adoption for recruitment

  The sexist artificial intelligence recruitment debacle at Amazon should prove a blip as the technology gains ground in and for human resources departments  Continue Reading

• Automation key to unravelling mysteries of the universe at CERN

  How CERN is using enterprise asset management from Infor and ramping up the automation of its IT services to plumb the depths of the universe  Continue Reading

• Antisocial media and AI in play at Oxford Science and Ideas Festival

  Facebook and other forms of social media were discussed at two linked events at the Oxford Science and Ideas Festival, alongside artificial intelligence and how it might augment humanity  Continue Reading

• IBM pushes boundaries of AI, but insists companies take an ethical approach

  Researchers at IBM are pushing the boundaries of what artificial intelligence and machine learning can do, but remain wary of the ethical implications that accompany the proliferation of this technology  Continue Reading