Data analytics fintech firm Galytix has secured investment for its recruitment and product development plans. There were no financial details about this post angel equity investment. The London-based firm offers an artificial intelligence platform and says it uses machine learning to ingest, curate and synthesise unstructured and structured data. Galytix CEO Raj Abrol says the company has got new board members and investors. A number will hold non-executive or advisory roles.
As businesses, governments and consumers rely on digital systems to fulfil most of their daily operations, so do the risks of those systems being hacked increase. The more the technologies they adopt, the greater the hazards they have to face. In fact, new solutions to ease businesses daily operations such as Artificial Intelligence in Operative Systems and IT software huge databases, bring even more complexity to an already convoluted world. However, these new techs can also become their strongest allies! If properly developed and embraced, they can deliver new layers of security that build up a strong shield of protection against hackers.
Thanks to open banking, fintech early adopters likely already have accounts that round up transactions to boost savings or connect to third-party tools for loan applications, budget management and more. But the new wave of fintech startups are proving there's much more that can be done using open banking, the two-year-old mandate from UK regulators that required banks to easily allow their customers to share their data with third parties such as apps. "Open banking offers people the chance to get personalised, tailored support to help them manage their money by allowing regulated companies to securely analyse their bank data," says Lubaina Manji, senior programme manager at Nesta Challenges, one of the organisations behind the Open Up 2020 Challenge, alongside the Open Banking Implementation Entity (OBIE). "It's enabled the creation of new services and tools to help people with every aspect of money management – from budgeting to investing, and much, much more, all in a safe and secure way." And some of the innovations from finalists in the Open Up 2020 Challenge have surprised with their ingenuity and customer focus, she says, citing Sustainably's round-up tool for automated charity donations, and Kalgera's neuroscience-informed AI to help spot fraud targeting people with dementia – two projects that highlight the purpose-driven idea behind open banking and the aim to get financial support to show who need it the most.
Alethea AI, a synthetic media company, is piloting âprivacy-preserving face skins,â or digital masks that counter facial recognition algorithms and help users preserve privacy on pre-recorded videos.Â The move comes as companies such as IBM, Microsoft, and Amazon announced they would suspend the sale of their facial recognition technology to law enforcement agencies.Â âThis is a new technique we developed inhouse that wraps a face with our AI algorithms,â said Alethea AI CEO Arif Khan. âAvatars are fun to play with and develop, but these âmasks/skinsâ are a different, more potent, animal to preserve privacy.â Related: Why CoinDesk Respects Pseudonymity: A Stand Against Doxxing See also: Human Rights Foundation Funds Bitcoin Privacy Tools Despite âCoin Mixingâ Legal Stigma The Los Angeles based startup launched in 2019 with a focus on creating avatars for content creators that the creators could license out for revenue. The idea comes as deepfakes, or manipulated media that can make someone appear as if they are doing or saying anything, becomes more accessible and widespread. According to a 2019 report from Deep Trace, a company which detects and monitors deepfakes, there were over 14,000 deepfakes online in 2019 and over 850 people were targeted by them. Alethea AI wants to let creators use their own synthetic media avatars for marketing purposes, in a sense trying to let people leverage deepfakes of themselves for money.Â Khan compares the proliferation of facial recognition data now to the Napster-style explosion in music piracy in the early 2000s. Companies, like Clearview AI, have already harvested large amounts of data from people for facial recognition algorithms, then resold this dataÂ to security services without consent, and with all the bias inherent in facial recognition algorithms, which are generally less accurate on women and people of color.Â Related: The Zcash Privacy Tech Underlying Ethereumâs Transition to Eth 2.0 Clearview AI, has marketed itself to law enforcement and scraped billions of images from websites like Facebook, Youtube, and Venmo. The company is currently being sued for doing so.Â Â âWe will get to a point where there needs to be an iTunes sort of layer, where your face and voice data somehow gets protected,â said Khan.Â One part of that is creators licensing out their likeness for a fee. Crypto entrepreneur Alex Masmej was the first such avatar, and for $99 you can hire the avatar to say 200 words of whatever you want, provided the real Masmej approves the text.Â We will get to a point whereâ¦ where your face and voice data somehow gets protected Alethea AI has also partnered with software firm Oasis Labs, so that all content generated for Alethea AIâs synthetic media marketplace will be verified using Oasis Labâs secure blockchain, akin to Twitterâs âverifiedâ blue check mark.Â âThere are a lot of Black Mirror scenarios when we think of deepfakes but if my personal approval is needed for my deepfakes and itâs then time-stamped on a public blockchain for anyone to verify the videos that I actually want to release, that provides a protection that deepfakes are currently lacking,â said Masmej.Â The privacy pilot takes this idea one step further, not only creating a deep fake license out, but preventing companies or anyone from grabbing your facial data from a recording.Â There are two parts to the privacy component. The first, currently being piloted, involves pre-recorded videos. Users upload a video, identify where and what face skin they would like superimposed on their own, and then Alethea AIâs algorithms map the key points on your own face, and wrap the mask around this key point map that is created. The video is then sent back to a client.Â See also: Fake News on Steroids: Deepfakes Are Coming â Are World Leaders Prepared? Alethea AI also wants to enable face masking during real time communications, such as over a Zoom call. But Khan says computing power doesnât quite allow that yet, though it should be possible in a year, he hopes.Â Alethea AI piloted one example of the tech with Crypto AI Profit, a blockchain and AI influencer, who used it during a Youtube video.Â Deepfakes, voice spoofing, and other tech enabled mimicry seem here to stay, but Khan is still optimistic that weâre not yet at the point of no return when it comes to protecting ourselves.Â âIâm hopeful that the individual is accorded some sort of framework in this entire emerging landscape,â said Khan. âItâs going to be a very interesting ride. I donât think the battle is fully decided, although existing systems are oriented towards preserving larger, more corporate input.â Related Stories JD.com Subsidiary Rolling Out Privacy Tech From Blockchain Firm ARPA From Australia to Norway, Contact Tracing Is Struggling to Meet Expectations
"Made in China" used to mean cheap and poor quality, and probably involving the theft of intellectual property somewhere along the line. That perception has been out of date for many years now. Counterfeiting by Chinese manufacturers is still a major problem in some industries, but the best Chinese companies are world leaders in quality and in innovation. European telecoms utilities are alarmed by Trump's demand that they exclude Huawei components from their 5G rollout programmes: if they comply, their 5G services will be late and expensive. China's two mobile payments giants, Alibaba's Alipay and Tencent's WeChat Pay, both have many more active users than PayPal and Apple Pay combined.
Artificial Intelligence (AI) has a market full of hype, with vendors, customers, and media speaking non stop about the abilities of AI on worldwide and their contributions individually. Blockchain is also generally hyped in the market, with technology providers and clients claiming all sorts of abilities that may or may not be possible. Combining AI and blockchain can obtain double the hype? On the other hand, AI is implemented real, the actual value in many endless ways we talk about every day. Likewise, blockchain is starting to show value across a variety of applications and businesses.
Supply chain management will be enhanced by AI and blockchain. According to an IBM report, we will see a "cognitive supply chain" emerge as the next wave of development in this highly interconnected and complex global trade. Earlier this year, TechHQ interviewed IBM's Steven Hurley, on the subject of a cognitive supply chain and the transformational journey of its development. In this type of supply chain, where the likelihood of unexpected challenges or setbacks are commonplace, illuminating the fragility of systems, the rise of cognitive computing presents opportunities to strengthen various aspects of management. Hurley, a Data Scientists and Solution Architect at IBM Supply Chain Engineering's Analytics Solutions Group, shared that, as we progress towards the "fifth Industrial Revolution," artificial intelligence (AI) will be a key component in supply chains and management.
As more businesses are leveraging modern technologies such as artificial intelligence, machine learning and blockchain, the sector is growing leaps and bounds, expected to triple in the next five years. If you think machines will take over the world, you might be right. In the last decade, the use of artificial intelligence in companies has skyrocketed with most of the tasks being unmanned and automated. From healthcare to food delivery, no sector is untouched by the power of robots. In fact, a new study released by Research and Markets said that the AI in fintech – which was valued at about $6.67 bn last year – is estimated to be worth $22.6bn by 2025.
When clouds get hacked, it's often the fault of user misconfigurations. Just ask Amazon Web Services (AWs) about that. Beginning a few years ago or so, the AWS cloud notoriously suffered a long spate of such attacks, most of which leveraged misconfigured S3 storage buckets as attack vectors. Recently, Microsoft's Azure cloud experienced a similar situation, this one concerning misconfigurations from lazy users of the Kubeflow machine learning platform used with Kubernetes, the wildly popular container orchestration system. Hackers managed to exploit these misconfigurations to launch cryptocurrency mining campaigns leveraging powerful machine learning Kubernetes nodes, Microsoft announced earlier this month.
Samsung has partnered with London-based fintech startup Curve to launch a digital payments card later this year. The Samsung Pay Card will allow users to link all of their bank and loyalty cards to a single digital card on their phone, the tech giant said. It will also allow people with Samsung smartphones to control their money and view all their spending from a single place. The company is also working with Mastercard to launch the new feature. The announcement continues a growing trend of technology firms such as Google and Apple offering a variety of digital payment solutions on their smartphones – last year Apple launched its own credit card for the first time through its Apple Wallet payments app.