Financial services leaders struggle to keep up with AI developments
Research released today shows that 78 percent of financial services enterprise leaders are finding it a challenge to keep up with the speed of AI model and data growth.
The UK research, based on survey of 125 financial services leaders, from SambaNova Systems reveals that the top challenges to deploying enterprise AI include finding or customizing the models/algorithms for their needs (67 percent), setting up infrastructure (33 percent) and preparing data (38 percent).
GPT-3? No, it's not a new Star Wars character but an evolving foundational AI model with huge potential
At the mention of GPT-3, you’d be forgiven for thinking that Disney had invented a new droid character in the latest offering of the Star Wars franchise.
But instead of playing a leading role in Obi-Wan Kenobi, which of course is streaming now on Disney+, GPT-3 is instead set to make its mark on the world in its own way.
Instagram to use video selfies as one method of age verification
Like most social media platforms, Instagram has a minimum age for users -- in this instance, it is 13 years old. But verifying ages online -- particularly for non-adults -- has long proved difficult. Now Instagram thinks it has come up with a solution.
As part of measure to enforce age limits more strongly, Instagram is preparing to use a variety of techniques to confirm that younger users are the age they claim to be. One of the options that will be available to such users is uploading a video selfie which will be shared with age-checking agencies.
Microsoft to retire some facial recognition technology as it takes a more responsible approach to AI
Microsoft has publicly shared its Responsible AI Standard which includes its guidelines for building AI systems. The company says it is publishing the standard in order to "to share what we have learned, invite feedback from others, and contribute to the discussion about building better norms and practices around AI".
In addition to publishing the Responsible AI Standard, Microsoft has also announced that it is closing down some of the capabilities of its Azure Face facial recognition service. Features that are being retied include those that can be used to "infer emotional states and identity attributes such as gender, age, smile, facial hair, hair, and makeup".
Chatbots -- are they more artificial than intelligent? [Q&A]
When you contact a large organization it's increasingly likely that, in the first instance at least, you'll find yourself dealing with a chatbot rather than a real person.
Most of these are based on some form of AI, but are they really all that clever? Deon Nicholas, CEO and co-founder of Forethought, doesn't think so. We spoke to him to find out more and discuss whether there might be a better solution.
The importance of responsible AI
Artificial intelligence (AI) is growing and shows no signs of stopping -- almost. In 2020, IDC estimated global spending on the technology would more than double by 2024 to hit $110 billion. Investors feel the same enthusiasm. CB Insights reported venture capital for AI startups in Q3 2021 reached a record $17.9 billion. Yet, even in the bright light of such success, a shadow is being cast. Even as AI is exploding, trust has leveled out, and that could eventually stall its progress and acceptance if we are not careful.
Given how widely AI is being deployed, many organizations are content to look the other way; so long as there’s value, no need to ask questions. But what about transparency and responsibility? If a company can’t trust its own algorithm, why will consumers? Case in point is the Apple Card launch in 2019 in which a noticeable difference in credit lines offered to men vs. women was revealed. Turns out, a faulty AI design failed to have gender input. Further, Apple hadn’t been following the algorithm closely for bias. That’s how launches and reputations are undermined.
UK IT leaders struggling to keep up with AI due to talent shortage
The ongoing skills shortage is causing problems for IT leaders when it comes to implementing AI. New research from SambaNova Systems finds that for 80 percent of UK IT leaders, it's a challenge to keep up with the speed of model and data growth.
The top challenges when deploying enterprise AI include, finding or customising models and algorithms at 67 percent, setting up infrastructure (43 percent) and preparing data (38 percent).
Enterprises keen to ensure digital resilience
Achieving digital resilience is a prominent concern for enterprise organizations, as they face increasingly sophisticated cyberthreats and adjust to a hybrid working environment.
A new report from A10 Networks, based on a survey of almost 2,500 network infrastructure, security, and cloud migration decision makers in larger businesses worldwide, shows nine out of 10 respondents have some level of concern around digital resilience.
Pindrop delivers improved audio intelligence to combat voice fraud
Although we tend to focus on frauds as a result of online account takeovers, more traditional social engineering methods are still a major problem, as are newer threats like deepfakes.
Voice technology company Pindrop is using this week's RSA Conference to launch new features that boost the level of intelligence that can be gained from voice analysis.
APIs or custom AI? Everything businesses need to know before taking the leap
The call to implement Artificial Intelligence (AI) is becoming difficult for businesses to ignore. Offering the promise of increased organizational productivity, speed and accuracy, some applications can be greatly beneficial to firms across a wide variety of industries and sectors.
That said, companies will naturally have some difficulty deciding on how best to implement AI, and where to achieve the best return on investment in innovative technology. Given the inherent difficulties involved in building an AI solution, finding a solution that is the perfect fit can be a mammoth task, involving great resource and even greater costs. For some, the drawbacks might even outweigh the benefits; perhaps this is why less than 15 percent of firms have implemented AI in their operations.
How artificial intelligence and machine learning are changing the development landscape [Q&A]
It's an increasingly rare application these days that doesn’t claim to incorporate some form of artificial intelligence or machine learning capability.
But while this may be great from a marketing standpoint it does pose a challenge for developers. We spoke to Luis Ceze, CEO and co-founder of OctoML, to find out more.
Microsoft announces Project Volterra to breathe life into Windows on Arm
In addition to revealing that Windows 11 users can look forward to installing third-party widgets later this year, Microsoft also used Build 2022 to announce Project Volterra.
Project Volterra is a developer-focused device powered by a Snapdragon processor, which looks remarkably similar to a Mac Mini. Featuring an integrated neural processing unit, the developer device will provide, Microsoft devs, opportunities to explore various AI scenarios.
The challenge of shifting left: Why AIOps is essential
Development teams are being forced to 'shift left'-- under pressure from the business to move more and more work closer to the design and development phase, earlier in the process.
The idea is to catch bugs earlier, before they turn into costly production outages, and should improve efficiency while minimizing risk within the software development cycle. Yet this demand puts even more pressure and responsibility on developers.
How can AI transform the way we collaborate and connect?
The global artificial intelligence (AI) market is predicted to reach $267 billion by 2027. But concerns have been raised about whether these advancements could replace humans in jobs as technology is being used to simulate human intelligence processes. In fact, approximately 68.5 percent of college graduates think that the development of AI could either take their job away or make them irrelevant in the next few years.
But AI can offer many benefits for human connections and collaborations. Here, we delve into the outcomes of AI and how it can benefit businesses.
Security professionals say attackers are better at using AI than defenders
Over 30 percent of cybersecurity professionals think that malicious actors are more adept at using AI to attack their organization than they are at leveraging AI in-house for defense.
A new survey carried out by Wakefield Research for Devo Technology also shows how organizations are struggling to effectively implement AI to aid and augment cybersecurity efforts, with more than 50 percent having to undertake major changes, or reset and start again.
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