In Depth

In Depth

Artificial intelligence, automation and robotics

• Norway’s autonomous ships point to new horizons

  Norway is a pioneer in the autonomisation of shipping, which conveys environmental benefits as well as efficiency gains – but human mariners are likely to stay on board for a while yet  Continue Reading

• APAC buyer’s guide to NVMe storage

  NVMe storage is becoming popular among Asia-Pacific enterprises that want to reduce latency and speed up application performance  Continue Reading

• How DataOps helps organisations make better decisions

  DataOps is helping organisations to accelerate the time it takes to derive value from the data they collect  Continue Reading

• Silicon Valley startups look to plug gaps in data value chain

  A group of California-based startups and early-stage data management companies are promising CIOs ways to plug gaps in the data-to-insight value chain  Continue Reading

• How modern business intelligence shapes up to big data

  Business intelligence and analytics strategies have evolved in recent years in the face of big data. Here, we get a supplier CEO perspective, some analyst counsel, and testimony from Nationwide, Schroders and King  Continue Reading

• How to find a much sought-after data scientist

  Every organisation seems to be hunting for a data scientist, but securing the right people with the right skills is a challenge  Continue Reading

• Futuristic logistics: retailers focused on rapid delivery

  From Asos Instant to Ocado Zoom, and a host of new services in between, rapid delivery is gaining traction in UK retail in an attempt to meet customer demand  Continue Reading

• 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