TikTok has decided not to allow paid political adverts on its platform, as the 2020 US election fast approaches.
The video-driven social media app has made the move amid increased scrutiny over political advertising on other social networks, particularly Facebook.
TikTok attracts millions of people across the world, mostly younger users, making it a potential target to reach first-time voters.
A “historic” agreement on sharing data will “dramatically speed up” investigations into criminals’ online activity, the Home Secretary has said.
Priti Patel and US attorney general William Barr signed the arrangement – the first of its kind – on Thursday evening when she visited Washington DC, the Home Office said.
Ms Patel said: “Terrorists and paedophiles continue to exploit the internet to spread their messages of hate, plan attacks on our citizens and target the most vulnerable.
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Mapping service Waze is to make data gathered from across the UK accessible to local authorities to help them plan transport upgrades in the future.
The tech firm’s maps use crowd-sourced data from users to update on traffic conditions and other live information about road congestion.
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Europe’s top court has told Google it does not have to make the “right to be forgotten” available worldwide.
The measure already allows citizens in EU countries to demand any results about them considered “inadequate, irrelevant or… excessive” to be removed, if the search is carried out in an EU country – even though the web page would still exist, delisting from a search engine makes it harder for people to find.
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Google has said it will reduce the amount of voice data it stores, following a scandal linked to AI assistants and how audio data from users was being listened to by human reviewers.
The technology giant said that while its own Voice and Audio Activity (VAA) programme has always been opt-in, it will now ask every user to re-affirm their choice before it recommences.
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The UK’s data and privacy watchdog is looking into how personal data on the Government’s main website is collected after it was reported the portal is being used to target users in preparation for Brexit.
A memo obtained by BuzzFeed allegedly tells departments to share data collected from its gov.uk, marked as “top priority” by the Prime Minister’s chief adviser Dominic Cummings.
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According to the 2019 Gartner fourth annual Chief Data Officer (CDO) Survey, the implementation of a data and analytics strategy was ranked the third most-critical success factor when it comes to a CDO’s organisation.
When it comes to data, we’re all aware of the four ‘Vs’ – variety, velocity, veracity and volume – yet for many organisations, their data warehousing infrastructure is no longer equipped to handle them. Additionally, value, the fifth ‘V’, is even more elusive. So, taking into account the scale of data that many modern companies have means that meeting these challenges requires a new approach – with automation being the foundation.
When did Weather Source first hear about Snowflake Data Exchange and decide to get involved?
Snowflake first popped into our mind when we read an article following the massive amount of funding it had secured. And after looking a little deeper, we found that Snowflake’s solution was ideal for our data requirements. In late 2018, our VP of business development contacted Snowflake to discover Snowflake’s proposition of an innovative data marketplace where data providers such as ourselves could showcase our data offerings.
The timing was perfect as Snowflake hired a new Director of Data Sharing, Bryan Naden, who explained the ambition of the Snowflake Data Exchange (SDE) and it instantly struck a chord with us. It was his priority to onboard data providers in advance of the SDE rollout, so we were at the very forefront of this exciting new data initiative.
The post CEO Q&A: How Weather Source uses Snowflake Data Exchange to share climate data faster appeared first on Techerati.
Despite a significant amount of investment into analytics programs, many of which are enjoying decent returns, older companies burdened by legacy processes are failing to unlock the true power of analytics.
The holy grail -- applying analytics to create harmonious and continuous improvement in operational efficiency across all business functions -- is frustratingly out of reach.
In an interview with Techerati, Jens Winterberg, Global Analytics & Innovation Manager at Nestlé, put forward his two cents about why older companies struggle to capitalise on data’s possibilities.
The post BDW Frankfurt 2019: Why traditional companies should put analytics at the centre appeared first on Techerati.
The market has long demanded quicker and more convenient payment methods, and the industry is now answering with ubiquitous payments. Yet at what cost? PSD2 and open banking are now established in the legislative framework, and many third-party providers are springing up with new offerings that democratise access to payments and offer complementary value-added services.
Banks and other financial organisations are already seeing a surge in the volume and value of electronic transactions through digitalisation. And new channels, like PSD2, are set to exacerbate the pressure on existing fraud defences. Faster payments, through SWIFT gpi and other means, virtually eliminate the window of investigation. And, therefore, necessitate automated real-time detection.
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Big Data World Asia: Machine learning in insurance, with Munich Re’s regional head of data analytics
While machine learning has transformed many industries over the past decade, one area that is still playing catch-up is insurance. It’s a sector used to finding itself trailing behind other industries’ tech adoption, where high running costs of legacy systems squeeze budgets to such an extent that it’s hard for firms to stump up the cash necessary for driving innovation. While online comparison services have proliferated in recent years, signing up to and managing the policy invariably involves the pens, paper, and printers that other digitally-transformed industries have long since left behind.
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