Tying Artificial intelligence and web scraping together [Q&A]
Artificial intelligence (AI) and machine learning (ML) seem to have piqued the interest of automated data collection providers. While web scraping has been around for some time, AI/ML implementations have appeared in the line of sight of providers only recently.
Aleksandras Šulženko, Product Owner at Oxylabs.io, who has been working with these solutions for several years, shares his insights on the importance of artificial intelligence, machine learning, and web scraping.
Managing AI risk: What are you waiting for?
Recent headlines have brought much-needed attention to questions surrounding algorithmic fairness. Regulators are taking notice. To date, EU officials put forth proposed language for aggressive new AI oversight. The Federal Trade Commission has published governance principles on the responsible use of AI, holding that existing law already empowers U.S. regulators to take corrective action. Additionally, a panel of AI experts testified before Congress about the potential inequities of algorithmic decision systems.
Many argue that increased regulation could stifle innovation, putting some nations at a disadvantage in the global arms race for AI dominance. But if the alternative is to do nothing, we could be creating even bigger risks, threatening our fundamental principles of fairness and equality.
Artificial intelligence and business: What will the future look like?
As per a study, 91.5 percent of the firms are reported to have an interest in investing in artificial intelligence technology. Growth in the use of automation, 5G, databases, cloud computing, and much more are driving the demand for artificial intelligence.
Various industries are incorporating AI in their processes to improve customer experience and business operations. Small and medium enterprises are utilizing this technology to optimize performance and functions at minimum costs.
AI is key, metaverse is not important -- CIO's top priorities for 2022
New data from PwC in its latest Pulse Survey finds that 43 percent of CIOs cite refining their IT strategy and operating models to be more agile as being a top priority in 2022.
In order to achieve this about a third will prioritize leveraging infrastructure investments to move from traditional data centers to cloud-based, or leveraging enterprise-wide data and analytics to drive strategic decision-making
Reacting with confidence to a new Trojan horse cyber threat
It’s the sophisticated technology that enables the virtual assistant on your kitchen counter, the recommendation engines on your favorite streaming services, and so much more -- and there’s new evidence hackers can use it as a Trojan horse to deliver malware. Because this technology is increasingly embedded not just in your movie nights, but critical industries from healthcare to energy and banking, its newly understood vulnerability is grave news.
But do we tear it out by its roots? Isolate it? No. Artificial intelligence is too important for that -- particularly, ironically enough, in cybersecurity defense. We have no choice but to confront the Trojan horse gambit and block it.
Power in people: How human capital will determine tech success
According to the Economist, one of the most significant outcomes of the pandemic will be "the infusion of data-enabled services into ever more aspects of life." We were already expecting a transition to digital transformation thanks to technological advancement, dubbed the "fourth industrial revolution".
However, following on from the pandemic which forced countless businesses to switch to remote working virtually overnight, we expect digital transformation to continue to be adopted on a larger and more rapid scale -- becoming an even more prominent objective for organizations in the future.
How AI can offer businesses greater control over their payments [Q&A]
We none of us particularly like handing over money, and that applies equally to businesses and individuals.
Payments are essential to the commercial world, up to now though they've always been a quite labor intensive to process. But what if it could be automated? Would you feel comfortable handing over control of payments to AI?
Machine learning implemented by 68 percent of organizations
New research shows that 68 percent of chief technical officers (CTOs) have implemented machine learning at their company.
What's more the study, from software development company STX Next, reveals that 55 percent of businesses now employ at least one team member dedicated to AI/ML solutions, although only 15 percent have their own separate AI division.
Wearables, telehealth and AI -- healthcare tech predictions for 2022
Technology has had an impact on most areas of our lives. In the healthcare sector the pandemic has seen a rise in the use of remote consultations and more.
In the next year experts expect this to continue along with trends towards AI, wearables and more.
How AI-as-a-Service is perfectly poised to meet next-era production's ramp-up & capacity challenges
Manufacturing and the science of materials are evolving quickly, so the rate of new products and product variations industrials put into the world is increasing. This evolution also means process parameters, which circumscribe the making of things, are proliferating. Meanwhile, the quality metrics of products and components have become more refined than ever before.
As a by-product, industrial equipment sensors generate an abundance and complexity of data far beyond the reach of statistical process control -- let alone human capacity. Semiconductor engineers, for example, must contend with petabytes of data daily. And they do so from wafers with chip architectures fabricated to accommodate hundreds of millions of transistors per square millimeter.
Transparency, regulation and convergence with 5G -- AI predictions for 2022
Artificial intelligence is making its presence felt in more and more areas of our lives. But what impact is it going to have on digital transformation projects, legislation and more?
Industry experts gave us their views.
'Computer Vision' teams struggle with training data putting projects at risk
The field of Computer Vision -- which looks at how computers can understand digital images or videos -- is a relatively new one, but like any branch of AI it relies on data to train systems effectively.
Synthetic data specialist Datagen has released a new report looking at training data in CV projects and finds that it has become a significant stumbling block.
Open banking, real-time payments and more AI -- fintech predictions for 2022
It's that time of year again, when tech experts like to swirl their tea leaves, polish up their crystal balls and try to predict what lies ahead for the coming year.
To get our annual series of predictions round-ups underway we're taking a look at the world of banking and fintech.
Cybereason and Google Cloud launch AI-powered protection
Anything that's connected to the internet can be a possible attack route for hackers, but organizations are often forced to use multiple solutions for protection, adding complexity and risk.
Cybereason and Google Cloud are launching an AI-powered XDR (Extended Detection and Response) solution to enhance and simplify the ability to predict, detect, and respond to cyberattacks.
6 techy ways to entice new talent during The Great Resignation
If you've been paying attention to the news lately, you know that many people are choosing to leave their jobs for various reasons. This period is being coined as "The Great Resignation."
Employers across all sectors are looking for new ways to gain the attention of potential employees -- but it'll take more than just posting a couple of positions on online job boards. Some recruiters are even turning to artificial intelligence (AI) to improve their recruiting processes and make them more efficient.
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