Latest AI Opinions
Jose Murillo, Chief Analytics Officer at Grupo Financiero Banorte, on AI facts, myths and the importance of an experimental culture.
Andrew Duncan outlines five ways that companies are embedding data-driven decision making to enable business resilience.
There is a great deal of hype around AI within a marketing framework. Whilst the technology could be incredibly useful and adoption could drive efficiencies and competitive advantage on a global stage, there is currently a great delta between what it can do, and what it currently is being used for.
IT spending can be difficult to justify at times when finances are tight, and even harder to justify when there’s no sign of an upturn in the foreseeable future. Organisations that find themselves fighting for survival are more likely to instinctively want to redirect money to the frontline rather than the back office.
Anonymised location insights can help governments compare how population mobility, both by foot and by vehicle, has changed since lockdown measures were introduced.
Using susceptible-exposed-infected-recovered (SEIR) modelling methods, experts run simulations to calculate how the virus spreads. This uses mobility data to display virus movement geographically, allowing researchers to compare these patterns against the rate of transmission across stratified samples, such as age groups.
The importance of this data places companies like Vodafone Business as a key partner, especially with our pan-European presence and advanced big data capabilities.
A University College London study recently ranked Deepfakes as the most worrying application of artificial intelligence for crime or terrorism. We asked Joe Bloemendaal, head of strategy at digital verification company Mitek, to break down the report’s findings Why does UCL deem fake audio and video content so pernicious? And what is the significance of… Read More
“The old way of doing security – creating rules for what employees are allowed to do and trying to predict what might go wrong based on history is useless in the face of rapidly changing, unprecedented circumstances.”
In March, businesses across the UK were forced to rapidly change ‘Business As Usual’ and adopt a country-wide lockdown. Overnight, teams quickly adopted cloud solutions, from video conferencing to collaboration tools, in an attempt to maintain consistent communication and encourage productivity. While cloud computing saved the day during lockdown, it now has an even bigger part to play as businesses begin to return to the workplace.
Recently, the Committee on Climate Change published its annual Progress Report to Parliament providing new advice to the Government in reducing UK emissions. It assessed the government’s climate change mitigation activity and outlined measures to accelerate the transition to achieving Net Zero by 2050.
There have been ambitious policies introduced in an effort to reach the Net Zero target but have not been as forthcoming as we have hoped. In fact, in 2019 the UK had reduced its emissions by 3-4% but this rate of reduction is simply not high enough to meet our climate goals.
Reopening the economy while avoiding a second wave of Covid-19 is one of the biggest challenges of our time. Maintaining a low rate of transmission while opening up places of work and leisure is a delicate balance to strike, and localised outbreaks must be kept under control before they spread more widely. To do this requires a rapid, joined-up approach between regions, one which technology can enable.
With a raft of issues leading to the recent scrapping of the NHS’s contact tracing app, the pressure is on tech giants Apple and Google to provide a better solution. The apps currently provided are Bluetooth-based.
Throughout the crisis, organisations across the globe have been forced to operate with their hands tied behind their back. Contracts have been significantly scaled back or terminated, supply chains will have been disrupted and workforces have been trimmed. In light of this, having access to accurate data has never been more critical and for many it has acted as the differentiator between success and failure.
As lockdown measures begin to ease and some industries report the first green shoots of recovery, having access to that same accurate data will be equally critical. The public sector is no exception.
The UK social sector is vast. There are around 170,000 charities and nearly 500,000 social enterprises in the UK. These organisations support millions of individuals and countless communities – yet most of them aren’t making use of data science.
They are limited by a lack of resources, the high expected salaries of data experts, and fears about misusing data. However, some brave organisations are leading the way! Below, we highlight projects by organisations at the vanguard of social sector data use.