Modernized supply chains, resilience and accessibility -- AI predictions for 2023
It's the time of year when people start to look ahead to the next one and offer predictions for what might lie ahead. For the past couple of years this has rather been hijacked by events including COVID, the Ukraine conflict and consequent economic disruption.
This hasn't stopped people in the tech world making predictions though, in fact we've received more this year than ever. So in the first of a series of roundups let's take a look at what might lie ahead for AI in 2023.
We wanted to know what features Windows 12 might have to offer, so we asked an AI
Windows 12 will offer a number of improvements that will make it better than its predecessor, Windows 11. One of the biggest advantages of Windows 12 is that it will offer improved security. Microsoft is introducing multiple new features to better protect user data, such as a new secure kernel, a secure boot process, and a new sandbox security model.
In addition, Windows 12 will offer improved performance, with better memory management and faster start-up times. The new version of Windows will also provide better support for multi-core processors, and it will introduce new graphics APIs such as DirectX 12 and Vulkan, which will provide improved performance in gaming and multimedia applications.
How AI can help access collective memory within the enterprise [Q&A]
Many industries rely on the accumulated knowledge and experience of both middle and upper management. However, this can lead to jobs being done in a certain way simply because, 'they always have been', which in turn can lead to repeated mistakes.
Relying on this collective memory can also make it hard to access information, particularly in the new era of hybrid work.
AI and metaverse technologies boost training and streamline onboarding for employees
We live in a world where businesses constantly reinvent themselves to remain competitive. Automation and digitization goals feature in well over half of all today’s businesses’ long-term corporate strategies, according to PwC's most recent annual Global CEO Survey. Which is why artificial intelligence (AI) and virtual worlds or 'metaverse' related technologies and tools have risen to prominence, particularly in relation to improving on-the-job training and upskilling new talent.
In 2022, many businesses are now starting to benefit from the application of AI and metaverse technologies in providing streamlined training and onboarding for employees. Combining AI and metaverse technologies affords companies an incredible new opportunity to train and equip people with the necessary skills to navigate the future of work.
The rising value of flexibility in life, work and AI
Innovation calls upon us to challenge existing paradigms. Women in technology understand this all too well. Many of us have stepped into roles that were traditionally dominated by men. We’ve had to swim upstream to establish our bona fides.
Personally, I’m proud to have achieved a host of "firsts" in my career, and today I’m surrounded by creative thinkers who are applying new technology to approach old problems differently. In my world, challenging existing paradigms is par for the course.
How does security posture management guard cloud environments?
Cloud technology has been gaining momentum in the last couple of years.
It threw a lifeline to companies by making remote work at the start of the crisis possible, enabled scaling for a reduced cost, and made information that much more accessible. However, all of these benefits also come with security risks for organizations that haven’t adequately protected their new infrastructure.
The ultimate AI use case -- engaged, productive and happy employees
Business adoption of AI is on the rise in the UK. According to a Government report, roughly 15` percent of all UK businesses have adopted at least one AI technology, with a further 10` percent planning to do so. Adoption is really taking off in larger firms, with more than two-thirds (68` percent) of them having used AI.
But what practical benefits can AI bring? Use cases seem to be emerging daily from many different business departments, but arguably, its HR teams that should be sitting up and taking notice more than others.
How to build AI that fosters unbiased customer interactions
As AI is used more often for several purposes, issues of bias -- often injected unintentionally -- have become more apparent. On a broad level, bias tends to stereotype people. Customers should have useful and positive experiences with AI, but sometimes, these unexpected biases can sour that interaction, leaving customers feeling frustrated or marginalized. As customer service drives customer loyalty, and loyalty drives revenue, this can negatively impact the business as a whole.
Bias in AI can manifest itself in many ways. A sizable percentage of executives polled by Speechmatics found that voice-recognition software struggled to understand some voices.
Your personal data has become an AI training manual and you're not getting it back
Art imitates life, that we all know. But what if art imitates your personal life, your personal likeness and does it so well that the line between what is real and surreal blurs?
Unbeknownst to us, we are becoming models for state-of-the-art AI technology that trains on terabytes of poorly filtered data scraped from all over the web. This data can include our personal photos, medical images, and even copyrighted content -- basically, anything ever posted online.
Harnessing the power of AI to combat fake reviews [Q&A]
There's a lot of talk about how artificial intelligence (AI) is changing the world. And it's true -- AI has already started transforming the healthcare, finance, and manufacturing industries. But there's one area where AI is causing some severe problems: fake reviews.
We spoke with Truely CEO JP Bisson about AI technology and how companies can use it to protect their interests.
Hit the snooze button farmers: The huge potential of applying AI to agriculture
A custom smart farming system can help gather valuable data, provide actionable outcomes, and save farmers significant time, money, and resources.
In recent years, a significant number of agriculture businesses have considered moving from human-reliant farming to autonomous farm management systems. The growing trust between agribusinesses and technology companies, as well as a rich arsenal of technologies that can accommodate the needs of farms, are the two major factors that enable this transformation.
How AI and data analytics are driving instant commerce [Q&A]
The internet has changed the way that most people shop and increasingly we want to get the things we've ordered fast.
This has given rise to on-demand commerce, with deliveries supported by armies of gig workers. But it's also driven rapid technological innovation in the logistics sector. We spoke to Kashyap Deorah, founder and CEO of logistics app specialist HyperTrack, to learn more about the new the phenomenon of 'instant commerce' and what it means for both enterprises and consumers.
Consumers want businesses to be more transparent about handling data
Consumers want to see more transparency from businesses around how their data is handled, according to the Cisco 2022 Consumer Privacy Survey.
The survey also shows that while consumers are supportive of artificial intelligence -- 54 percent are willing to share their anonymized data to improve AI products -- they are concerned about how businesses use AI, with 65 percent having lost trust in organizations due to their AI use.
UK sees boost in AI adoption
Use of AI technology in the UK has stepped up since 2016, with 41 percent of companies adopting AI between 2016 and 2019, compared to just a fifth over six years ago.
A new study from Peak shows this puts the UK above the global average of 39 percent for this period, though it's since dropped back closer to the average, and represents an almost fourfold rise in the last ten years, compared to just 2.5 times in the US and three times in India.
AI is nothing without skilled human oversight
Artificial Intelligence (AI) remains hard to define. When it comes to a definition of "intelligence", context is vital and it starts with what we want the AI system to do. It is specific to the application. For example, intelligence for a search engine shouldn’t be the same as intelligence for an autonomous vehicle.
Now, with AI systems already in widespread production for more than a quarter of enterprises, businesses must ensure that employees are upskilled to effectively define and implement AI systems, and understand how to manage these systems safely in the workplace. But what does that look like in practice?
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