Why human risk management is key to data protection
Personal data is constantly being processed and transferred in numerous ways -- whether in healthcare applications, store loyalty programs, during purchases or while browsing online. With such a vast amount of personal data in circulation, the likelihood of errors occurring is heightened.
It feels like almost every day we hear a story of another company being breached -- with data being stolen by cybercriminals looking to steal an individual’s identity, access accounts or commit fraud. Things are also getting easier for cybercriminals, thanks to technology advancements like generative AI assisting with more convincing phishing emails and deepfake content.
Supplier data is foundational -- and so is a supplier data foundation
Supplier data enables procurement leaders to understand their organization's performance more deeply, predict market opportunities and negotiate advantageous supplier contracts. When market conditions are favorable, these benefits provide a keen competitive advantage; during economic turbulence, they're a must-have for business continuity -- all in all, data is the bedrock of procurement decisions.
But the necessity of good supplier data isn’t breaking news. Rather, the advent of innovative technologies, including generative AI and large-language models (LLMs), has emphasized the importance of data hygiene across the enterprise. Case in point: In 2024, 43 percent of data leaders say their organization has adopted a “data and analytics culture” -- up from just 21 percent last year.
Why culture could be the missing link in private equity's data challenges
Available data for alternative assets is expanding at top speed, handing managers a goldmine of information and arming them to make savvy investment moves and fine-tune operational efficiencies. Ensuring transparency, quality, and data accessibility has never been more important for general partners (GPs).
Yet the tidal wave of data that organizations are handling poses a significant challenge for private equity firms. Many find themselves struggling to consolidate large volumes of data from disparate, siloed sources.
CMS challenges prevent organizations unlocking their data
New research finds that 84 percent of organizations believe their existing content management system (CMS) is preventing them from unlocking full value from their data and content.
The study, from headless CMS company Hygraph, surveyed 400 professionals in product and engineering roles across the US, UK, and Germany, and finds 92 percent of organizations say their content and data sources are currently siloed, with 38 percent describing it as 'very siloed'. This means the work required to integrate all these sources is both time-consuming and expensive.
How to reduce generative AI's risks to data [Q&A]
Generative AI models like ChatGPT are creating a lot of enthusiasm for what they can do for businesses, but they are generating just as much fear over what can go wrong with the data they handle. There is a lack of trust between large companies that have the data and the AI startups that want to use them.
What can we expect to see in the near future? We spoke with Katy Salamati, senior manager of the advanced analytics lifecycle at SAS, to find out.
How to build a successful data lakehouse strategy [Q&A]
The data lakehouse has captured the imagination of modern enterprises looking to streamline their architectures, reduce cost and assist in the governance of self-service analytics.
From data mesh support to providing a unified access layer for analytics and data modernisation for the hybrid cloud, it offers plenty of business cases, but many organizations are unsure where to start building one.
Looking to 2024: Data, AI and security will be top priorities for businesses
The technology landscape has evolved significantly over the last year with the introduction of technologies such as ChatGPT and other generative AI tools taking the market by storm, while raising concerns about data security and more.
As we move forward into 2024, we anticipate that the impact these new technologies have made this year means they will continue to pave the way forward, with AI remaining a hot topic in the industry, while data security concerns rise around it.
Three methods to improve organizational data quality today
Our modern business landscape transforms constantly, yet the value of data endures. However, thriving companies don’t merely amass data -- they cultivate meaningful data.
Leaders must have trustworthy data to unlock organizational insights, but inaccurate data is still rampant in most organizations. This data costs leaders far more than missed opportunities. According to industry research, bad data costs U.S. enterprises $3.1 trillion annually. Still need convincing about the benefits of data quality? Let’s discuss the benefits of high-quality data and explain how leaders can adopt a leading data management strategy today.
Undertaking a data diet this Black Friday
Like every year, Black Friday marks the start of the end-of-year shopping season, and with it a significant increase in online sales. Although it's very much an American event, Black Friday in the UK has grown in popularity in recent years. In 2022, UK consumers spent a record £9.42 billion over the Black Friday weekend. Of this, 61 percent was spent online.
For e-retailers in the UK, the cyber weekend represents a significant increase in activity and traffic, leading to an accumulation of data generated and collected by e-commerce sites, requiring large storage capacities with a high environmental impact.
Out of control data puts compliance at risk
According to a new report, 66 percent of IT decision makers (ITDMs) are worried that data is spiraling out of control in their organization and that this is putting compliance at risk.
The study of 850 ITDMs carried out for Cloudera shows that 63 percent of organizations believe siloed data makes it harder for them to comply with data compliance regulations.
Governance and security are top priorities for data teams
With ever more organizations rushing to adopt AI solutions, a new report suggests that implementing stronger data governance and security controls will be a higher priority for data teams as we head into 2024.
The report from data security company Immuta finds that only half of respondents say their organization's data security strategy is keeping up with AI's rate of evolution.
Unmasking data security monsters this Halloween
It is very nearly Halloween and we are preparing ourselves to encounter a host of terrifying creatures and monsters, all who are patiently waiting to make their appearances this year. However, while those beings are terrifying in their own right, it's the monsters lurking in the shadows of the digital world that seem to strike more fear.
Malicious actors and menacing threats feel ever present in the news. As the adoption of cloud and on-demand computing services increases, malicious actors are waiting to make their move when enterprises lose control of their data security. Enterprises and their leaders are kept awake wondering where their data is, who has access to it, how it is being used and whether it’s safe. This piece will explore how to mitigate some of the most scary monsters that are haunting organizations the holiday season and beyond.
Over half of enterprises struggle to get insights from their data
Research released this week from Hitachi Vantara shows 55 percent of enterprises are struggling to derive meaningful insights from their data.
The survey of over 200 IT leaders across North America and Europe, carried out by Forrester Consulting, reveals ongoing challenges related to security, inflexible systems, isolated data, a skilled labor shortage, and the need for infrastructure agility.
Providing the legal sector with the deep visibility, security, and data monitoring they need to thrive
Cybercriminals frequently target the legal sector due to its extensive holdings of highly confidential, commercially sensitive, and often personal information. As a sector built on trust and reputation, this growing threat continues to disrupt and create havoc in business operations, underscoring the necessity for a deeper understanding of cyber threats and stronger cyber security measures within the legal industry.
A recent report from the National Cyber Security Centre (NCSC), published in early 2023, revealed that the UK has over 32,900 legal enterprises, encompassing barristers, solicitors, and other legal service providers. With an estimated total revenue of £43.9 billion and more than 320,000 people employed in the legal sector, it represents a large and lucrative target for cybercriminals.
How much does 1GB of mobile data cost around the world?
How much do you pay for a gigabyte of mobile data? Analysis of over 5,000 mobile data plans in 237 countries by comparison site Cable.co.uk compares the cost of 1GB of mobile data across the globe.
Israel is the cheapest with 1GB of data on the move costing a mere two cents. Italy is second-cheapest, with 1GB costing $0.085 on average. The US, however, ranks only 219th in the world, with an average 1GB cost of $6.00. The UK is 58th with 1GB costing on average $0.62.
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