Articles about Data

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.

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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.

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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.

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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.

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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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A new survey of 500 data and IT leaders who manage data workloads of 150 terabytes or more shows that growing volumes of data are increasingly driving business priorities.

The study, from hyperscale data analytics platform Ocient, finds 90 percent of IT and data leaders are planning to remove or replace existing big data and analytics technologies in the next six to 12 months.

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Data is increasingly the lifeblood of businesses, but according to Gartner, poor data management costs organizations an average of $12.9 million a year.

With the launch of a new AI-powered SaaS platform that simplifies organizing and leveraging data without an engineer, Pliable aims to open up data access to businesses.

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IT and business leaders are largely allowing employee use of generative AI but the majority (66 percent) are concerned about the data governance risks from AI, including privacy, security and the lack of data source transparency in vendor solutions.

The latest 2023 State of Unstructured Data Management survey from Komprise is based on responses from 300 global enterprise storage IT and business decision makers at companies with more than 1,000 employees in the US and UK, and finds 90 percent of organizations allow employee use of generative AI.

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In today’s digital era, operational visibility is a prerequisite for businesses across sectors such as manufacturing, transportation and retail. However, managing this massive influx of rapid, real-time data can be challenging -- especially for organizations that don’t have the infrastructure in place.

This data generally takes the form of events such as clicks, telemetry, logs and metrics, often collected as time series or machine data. In contrast to transactional data collected via batch ingestion, this data is collected via real-time streaming.

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New analysis of more than 13 billion files stored in public cloud environments reveals that more than 30 percent of cloud data assets contain sensitive information.

The study by Dig Security shows personal identifiable information (PII) is the most common sensitive data type that organizations save. In a sample data set of a billion records, more than 10 million social security numbers were found -- the sixth most common type of sensitive information -- followed by almost three million credit card numbers, the seventh most common type.

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Data is one of the biggest drivers of innovation in healthcare today. Almost everything in healthcare relies on having access to the right data from developing new drugs and medical equipment to allocating resources.

Making use of this data often requires sharing with other organizations and that presents challenges when it comes to keeping it secure. We spoke to Riddhiman Das, co-founder and CEO at TripleBlind, to learn how healthcare organizations are securing their data while still making it accessible.

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The amount of data held by enterprises is growing at an alarming rate, yet it's often still being stored on 20-year-old technology.

Add to this a proliferation of different types of systems -- or even different storage platforms for specific use cases -- and you have greater complexity at a time when it’s hard to find new IT personnel.

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Over the past decade data modeling -- setting up data structures aligned to business requirements -- has tended to take something of a back seat as businesses have rushed to bring products to market.

But we're producing more data than ever and need ways to process it effectively. That's why Satish Jayanthi, CTO and co-founder at Coalesce, believes it's time for data modeling to make a comeback in enterprise strategy. We spoke to him to find out more.

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The concept of 'shifting left' is often used in the cybersecurity industry to refer to addressing security earlier in the development process.

But it's something that can be applied to data management too. Shifting left in this sense means performing data reliability checks sooner. The ability to execute data reliability tests earlier in the data pipelines helps keep bad data out of production systems.

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An organization's identity data today is its linchpin. This invaluable asset binds an enterprise together, orchestrating access rights, establishing a unified and accurate view of users across various channels, and empowering informed security decisions.

However, the identity infrastructure is continuously becoming more complex as businesses expand their digital landscape, bringing more users, devices, and applications within their IT environment. With this increasing complexity, poor data management can engender substantial financial losses and jeopardize sensitive user and customer data.

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