Articles about Data

Both AI agents and agentic AI are becoming increasingly powerful and prevalent. With AI agents, we can automate simple tasks and save time in our everyday lives. With agentic AI, businesses can automate complex enterprise processes. Widespread AI use is an inevitability, and the question going forward is not if we’ll use the technology but how well.

In a world where AI takes on more responsibility, we need to know how to measure its effectiveness. Metrics like the number of human hours saved or the costs reduced are, of course, important. But we also need to consider things like how ethically and securely our AI solutions operate. This is true when adopting third-party solutions and when training AI in house. 

Continue reading →

Data-driven organizations are increasingly struggling with the limitations of passive metadata practices. These traditional approaches quickly become outdated, leading to inaccurate insights and poor decision-making. Passive metadata often remains siloed, making it challenging to integrate and understand relationships between datasets. As a result, organizations face significant hurdles in achieving data agility -- the ability to adapt how information is interpreted and rapidly acted upon.

Active metadata management solves these challenges by providing a dynamic, intelligent layer that enables businesses to improve their decision-making processes and maintain a competitive edge in an increasingly data-centric environment.

Continue reading →

Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline.

The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice.

Continue reading →

You close out one year, looking for a fresh start on the next. But old content doesn’t just disappear when you hang up a new calendar. There’s always a chance of something in previous data reemerging to challenge the plans you have for the upcoming year. While nothing can completely counter that possibility, enterprise search can help keep tabs on all information, past and present, to mitigate such a risk.

Enterprise search enables instant concurrent searching across terabytes after first indexing the data. A single index can hold up to a terabyte, and there are no limits on the number of indexes enterprise search can create and end-users simultaneously query.

Continue reading →

According to the latest global estimates, up to 400 million terabytes of data are created every single day. However, unlike the past, where users were happy to delete data once they felt it was no longer required, today’s data rarely gets deleted anymore, which is creating a growing number of issues.

It has become a cliché to say, “data is the new oil”, but its value has never been higher. Companies across all industries now collect as much as they can from every customer and process, so it can be mined for valuable insights and/or sold to generate new revenue streams. But to extract greater value from data, you need to keep it. To keep it, you need space, security, and money. Consequently, organizations are increasingly looking for the best ways to store their data without breaking the bank (or damaging the environment, if they can help it).  The question is, what’s the best way to go about doing this?

Continue reading →

Data security has become a top concern for businesses across all industries. As organizations accumulate and leverage vast amounts of data to drive decision-making, the need to safeguard that information from both internal and external threats is more important than ever.

For companies managing sensitive customer information, intellectual property, or proprietary business insights, data security is no longer a negotiable priority -- it’s a critical component in strengthening your overall security strategy.

Continue reading →

With a rapidly developing threat landscape, an increase in high-profile data breaches, the introduction of new legislation, and customer tolerance for poor data handling at an all-time low, the stakes are high for companies to have robust cybersecurity in place. However, despite their best efforts, companies are often found to not be doing enough to protect their assets.

Often, this is due to a case of ‘too much, too fast’. As businesses invest in new technologies, their day-to-day operations are being supported by ever more complex and fragmented technology platforms. At the same time, the amount of customer data available to them is growing and constantly streaming in, and bad actors are consistently launching more sophisticated attacks. Meanwhile, leaders are not fully aware of or own responsibility for their cybersecurity plans. As the digital world evolves with new threats and regulations, business leaders must recognize the importance of data protection. If they do not, they cannot adequately protect their customer's data and are in danger of losing their trust and even their continued existence in business.

Continue reading →

Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place.

Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one.

Continue reading →

Data Science Handbook offers a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains.

Data Science is one of the leading research-driven areas in the modern era. It is having a critical role in healthcare, engineering, education, mechatronics, and medical robotics. Building models and working with data is not value-neutral. We choose the problems with which we work, make assumptions in these models, and decide on metrics and algorithms for the problems. The data scientist identifies the problem which can be solved with data and expert tools of modeling and coding.

Continue reading →

AI growth and adoption in the UK are surging, with the market valued at more than £16.8 billion and expected to reach £801.6 billion in the next decade. Approximately 15 percent of UK businesses are already using AI technologies such as data management and analysis, natural language processing, machine learning, and computer vision. And across the pond in the US, AI is expected to contribute a significant 21 percent net increase to US GDP by 2030, showcasing its substantial impact on the economy.

Growth in any new technology is never without its challenges. For AI, these include ensuring data privacy, addressing ethical concerns, and navigating the complexity of integrating with existing IT infrastructure. Data quality is central to resolving these challenges. To be useful, the data used for AI must be high-quality, well-structured, and from trusted sources. These properties are the foundation for all AI models and determine their effectiveness and reliability.

Continue reading →

Often described as the lifeblood of an organization, data drives business operations and decision-making. But while the raw data itself is valuable, it’s the intelligence and insights that can be gleaned from it that truly fuel innovation and growth. This vital intelligence is the foundation on which organizations build long-term strategies, optimise processes, and identify new opportunities.  

However, with IoT and AI creating volumes of data at an unprecedented rate, it has come to a point where many large enterprises have data lakes and warehouses overflowing with untapped potential. 

Continue reading →

Fresh out of college and with just a year of self-study behind him, Cory Althoff was offered a dream first job as a software engineer for a well-known tech company, but he quickly found himself overwhelmed by the amount of things he needed to know, but hadn’t learned yet. This experience combined with his personal journey learning to program inspired his widely praised guide, The Self-Taught Programmer.

Now Cory's back with another guide for the self-taught community of learners focusing on the foundations of computer science.

Continue reading →

AI will generate 10 percent of all new data in 2025, according to Gartner. This statistic has significant ramifications for business leaders in the digital age.

First, it hints at another substantial development: Overall data generation will skyrocket alongside advanced AI and machine learning (ML) tools. Statista predicts that humans will create, process and consume 180 zettabytes of data in 2025, up nearly 300 percent since 2020. This prediction foreshadows worsening data sprawl, a problem wherein organizations have more data than they can process or understand.

Continue reading →

Businesses are constantly seeking ways to enhance their profit margins, and smart promotional tactics can play a crucial role in achieving this goal. Promotions are not merely about attracting attention; they are strategic tools that, when executed effectively, can drive sales, increase customer loyalty, and strengthen brand presence.

By understanding key elements such as data utilization, compelling offers, and strategic timing, businesses can optimize their promotional efforts. This article explores essential considerations for leveraging data, crafting attractive incentives, and timing promotions to maximize impact. Through thoughtful planning and execution, businesses can turn promotional activities into powerful drivers of profit and growth.

Continue reading →

Although governments are issuing new guidelines for businesses to toughen up their cyber protection, cyberattacks remain a major risk, only growing in sophistication with advancements in AI.

With the continued integration of AI into systems, recognizing the threat that dataset poisoning presents is also an emerging concern. We spoke to Andy Swift, cyber security assurance technical director at Six Degrees to discuss the latest threats and how businesses can respond.

Continue reading →