Digital transformation vs. digitization – creating customer-centric strategies with data
In a market awash with marketing messaging, the discussion of the difference between‘ digital transformation’ and ‘digitization’ is a common one. Whilst it is not uncommon for the terms to be used interchangeably, this is technically incorrect and the distinction is an important one, especially for businesses looking to make the most of the data they uncover as part of …
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A third of data breaches involve a company insider
Data breaches caused by internal employees have become a common occurrence, a new report from insider risk management firm Code42 suggests. In its latest report, Code42 says that a third (33 percent) of reported data breaches involve an insider. Most of the time, these insiders do not have malicious intent, but expose data accidentally. Sometimes employees send sensitive data to …
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UK financial services companies are embracing ‘alternative data’
Financial services companies in the UK are using an increasing number of alternative data sources when making key business decisions, a new report from Oxylabs suggests. The proxy provider polled 252 senior data decision-makers from the country’s finance sector and found that 63 percent of respondents use “non-traditional” data sources that have not previously been analyzed. These include web scraping …
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The pervasiveness of data and data-centric security strategy
Regardless of what business you are in, a data security breach is an increasingly likely scenario that all businesses must mitigate. With escalating cybercrime, the widespread growth in cloud computing, and the explosion in mobile devices and varying tech and app use amongst employees and partners; key aspects of enterprise security are now, and will forever be, beyond our control. …
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ITDMs fear current data architecture will not support AI projects
More and more companies are looking to leverage the power of artificial intelligence (AI) and machine learning (ML) to improve their customer experience, streamline production and boost agility. However, the decision-makers tasked with making the AI dream a reality are worried that current infrastructure won’t meet the necessary requirements, a new study from Redis Labs has shown. IT leaders understand …
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What if we could finally solve the complex data equation?
Nowadays, thanks to the growth of digital transformation and investment, every business is now in the data business. Even before the pandemic hit, many organizations had already started realising the value of data and recognising their dependence on not just data, but good quality and accurate data, for business success. A CEO at an American bank once revealed to me …
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Almost all businesses expect to increase data security spend
This year, many organizations will attempt to enhance their ability to use secure data for AI and advanced analytics initiatives. As a result, they will be looking to invest heavily in data security, with cloud data security (67 percent), employee training (54 percent) and data security for SaaS environments (50 percent) the main priorities. These are the conclusions of the …
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Many businesses fail to protect employee data effectively
Most business leaders want to keep their employee data secure, but many fail to do so. This is according to a new report from the workforce cyber intelligence company DTEX Systems. Together with the Ponemon Institute, the firm polled 1,249 IT and security professionals, and found that keeping employee data secure is very important for the majority (63 percent). They …
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Workers often unclear on the sensitive nature of business data
Businesses are not doing enough to instil the importance of proper data handling into employees, a new report from KnowBe4 suggests. The cybersecurity firm polled 408,929 workers worldwide and found that roughly a quarter (24 percent) are unsure whether the data they work with is classified or not. The construction, education, transport, and retail sectors are most at risk, with …
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Practicing what you preach: Data centricity and democratization
Artificial intelligence (AI) and human intelligence have always been inherently intertwined. AI was born from studies into the inner workings of the human brain. Although it previously sought to explain how the brain works, it is now tasked with augmenting and enhancing human capabilities. Tasks that require repetitive, mundane input, or those that pull from almost incomprehensively vast data sets, …
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