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?
How AI enables organizations to move from network monitoring to proactive observability
In today’s world, the volume of data and network bandwidth requirements are growing relentlessly. So much is happening in real-time as businesses adapt and advance to become more digital, which means the state of the network is constantly evolving. Meanwhile, users have high expectations around applications -- quick loading times, look and feel visually advanced, with feature-rich content, video streaming, and multimedia capabilities -- all of these devour network bandwidth.
With millions of users accessing applications and mobile apps from multiple devices, most companies today generate seemingly unmanageable volumes of data and traffic on their networks.
How AI and computer vision can help retailers to compete [Q&A]
The rise of online retail coupled with the pandemic have brought about some unprecedented changes to the retail landscape in recent years.
But as consumers now start to venture back into stores, how can retailers make use of technology to effectively compete with their online counterparts and with other brick-and-mortar businesses?
AIOps needs a new (customer-focused) approach
IT infrastructure has become incredibly complicated -- intensified by the investment in digital transformations encouraged by the pandemic. One of the unintended consequences? IT teams and incident responders are stressed, and stretched farther than ever. PagerDuty’s The State of Digital Operations lays out the increased burden on these teams, the results in terms of burnout, and the impact having a more mature digital operations can have on minimizing that stress.
AIOps is an essential component to any mature digital organization, and it’s clear a new approach is needed. The sheer volume of IT events, from changes, warnings and incidents, to tickets for more routine activity are increasing 70 percent year-on-year. At a moment when increases in budgets won’t keep pace with the explosion of incidents or the complexity of IT infrastructure (if the budgets aren’t being reduced outright), leveraging AIOps to serve teams and customers is critical.
Windows 12 wallpapers created by AI -- download them now
Windows 11 hasn’t been with us very long, but you’ve probably seen reports that Microsoft is already working on its successor, Windows 12.
While there aren’t any screenshots, or anything else, to view of Windows 12 just yet, we asked an AI text-to-image tool to give us its take on what the future operating system might look like.
Twice as nice? Who needs a digital twin?
The internet is always abuzz with new technology trends, and anyone who follows them will be familiar with the terms "digital twin" or "digital twin of an organization". Although digital twins have been around for several decades, the rapid rise of Internet of Things (IoT) technology has made the concept more widely considered a tool of the future. So, as digital twins increasingly model systems of interconnected things, what potential does the technology hold to orchestrate processes, people, and things in a sophisticated way that’s beneficial for everyone?
This article defines what a digital twin is, and suggests where the technology is headed in our increasingly interconnected world.
Five ways AI can influence and transform your business processes
Technology is constantly changing the way we work, and automation is something business owners will be keeping an eye on in the future. This is definitely the case with artificial intelligence, with the global market for AI predicted to reach $267 billion by 2027.
Film and media have warned us that if AI becomes too intelligent, it will take over, and these concerns have fed into real-life fears about technology replacing humans. One study found that around 68.5 percent of college graduates thought that technology would render them useless or lose their job to it in the near future. However, AI can aid human connections and collaborations and benefit the world of business.
Successful AI deployment needs to be enterprise wide
Businesses are keen to capitalize on AI, with 72 percent of business leaders in a new survey believing their competitors are using AI, and 63 percent concerned their competitors will use AI to gain an advantage over their own business.
But the study from SambaNova Systems, of over 2100 enterprise and IT leaders based in the US, UK, and Germany, shows just 18 percent of organizations with AI are rolling it out as a large-scale enterprise-class initiative. The majority -- 82 percent -- are rolling it out as multiple programs, creating disorganization and hindering successful deployment.
The artificial intelligence tug-of-war in the world of cybersecurity [Q&A]
It's a rare cybersecurity product these days that doesn't claim to have some form of AI capability. But exactly what benefits does AI deliver? And is there a risk of an arms race as threat actors also turn to the technology?
We spoke to Corey Nachreiner, CSO at WatchGuard Technologies, to find out more about the role of AI in cybersecurity.
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.
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