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.
Almost half of businesses are struggling with cloud costs
A new report published today by business monitoring firm Anodot reveals 49 percent of businesses find it difficult to get cloud costs under control, and 54 percent believe their primary source of cloud waste is a lack of visibility into cloud usage.
The report, based on a survey of over 130 US-based IT directors and executives, shows 91 percent of respondents report they currently have IT infrastructure in the cloud, while 60 percent say that migrating more workloads to the cloud is their top cloud initiative in the coming year.
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.
AI-based security solution protects email and messaging
With more people working remotely, messaging and email have become even more essential tools, but the sharing of sensitive data via these routes also presents risks.
Concentric AI is using this week's Black Hat USA to launch an AI-based solution that protects sensitive data shared as text or attachments across today’s most popular business messaging platforms, including email, Slack, and Microsoft Teams.
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.
The three AI technologies powering checkout-free retail
Checkout-free shopping is revolutionizing the retail space, cutting down on time wasted in line and improving customer experience while shopping. Though the idea of checkout-free technology powering your shopping trips may seem like a far-off technology, it actually utilizes three established technological components that work together to provide a smooth and frictionless shopping experience.
Each of these technologies, deep learning, sensor fusion, and computer vision, work synergistically to make futuristic-seeming technology part of our everyday lives.
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.
IBM's latest acquisition helps enterprises spot 'bad data' at source
As the volume of data continues to grow at an unprecedented rate, organizations often struggle to manage the health and quality of their data sets.
To deal with this IBM has announced that it's acquiring Israel-based Databand.ai, a provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality before it impacts their bottom-line.
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).
How web scraping has gone from niche to mainstream [Q&A]
Web scraping -- collecting data from websites -- has been around almost as long as the internet has existed. But recently it's gone from a little-known niche to a serious activity, using automation to collect large amounts of information.
We spoke to Julius Černiauskas, CEO of data acquisition company Oxylabs to find out more about web scraping and how it has evolved.
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".
Why do development projects fail?
Why do development projects fail? And perhaps more importantly what do senior management need to understand about why they fail? Those are the questions that a new study from AI platform vFunction sets out to answer.
Based on a survey by Wakefield Research of 250 US software developers and architects, at a senior level within enterprises of 5,000 or more staff, it looks at the differences in goals, challenges and reasons for failure between business leaders and architects.
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