Data breaches occur when sensitive information, such as financial data, personal identities, or confidential business information, is accessed and potentially disclosed to unauthorized parties. This can happen due to various reasons such as hacking, malware, human error, or weak security measures. The consequences of a data breach can be significant and far-reaching, including: Common Types […]
Is Data the Achilles Heel of AI?
As Benjamin Franklin once said, “Nothing is certain except death and taxes.” Add this 21st-century irrefutable fact: The world can’t live without data. With its numbers, characters, facts, and statistics – the operations performed, stored, and analyzed – data has become an irreplaceable facet of daily life. We use data to identify strengths and weaknesses. It helps […]
How Intelligent Enterprise Software Is Transforming Business Processes
Between OpenAI’s research release of its language model ChatGPT and Microsoft’s inclusion of an embedded (and still improving) artificial intelligence (AI) chatbot in its Bing search engine, it’s impossible to escape news about the rise of AI. Of course, these new AI tools are simply the most recent customer-facing applications after decades of development across various computing […]
Data Observability vs. Monitoring vs. Testing
Companies are spending a lot of money on data and analytics capabilities, creating more and more data products for people inside and outside the company. These products rely on a tangle of data pipelines, each a choreography of software executions transporting data from one place to another. As these pipelines become more complex, it’s important […]
The Competition Between On-Prem and Cloud Is Over – Hybrid Wins
Many organizations, when faced with the question of how to manage their workloads, ask themselves: on-premises or cloud, pitting the two against each other. But the reality is that most enterprises are operating in the world of “and,” meaning they have workloads on-prem and in the cloud – and that little three-letter word makes a world of difference. According to the State […]
Zero-Copy Integration: How Small Data Practices Will Replace Big Data
The future of data is small. As organizations grapple with ever-increasing amounts of data, the limits of the big data movement are becoming clear. Over the last two decades, big data has provided benefits in the form of cutting-edge software that made the generation, collection, and amalgamation of data widely available to organizations. These positive impacts are […]
A Powerful Pair: Modern Data Warehouses and Machine Learning
Artificial intelligence (AI) technologies like machine learning (ML) have changed how we handle and process data. However, AI adoption isn’t simple. Most companies utilize AI only for the tiniest fraction of their data because scaling AI is challenging. Typically, enterprises cannot harness the power of predictive analytics because they don’t have a fully mature data strategy. To […]
Why Embedded BI Is the Best Option for Analytics
When a business considers the implementation of an analytics solution, it may be focused on choosing the easiest, most flexible solution to encourage its users to make analytics part of the process and to incorporate it into everyday tasks to achieve better results. When a business offers embedded BI tools with integration APIs, it provides the […]
Cloud Architecture Mistakes: Losing Visibility and Control Over Data Processing
This is a five-part series of articles examining five critical mistakes organizations face when building a cloud architecture, and how those mistakes can lead to soaring costs and inefficient – even risky – data management. In making their digital transformations, organizations too often lose visibility and control of their data right from the beginning. They can […]
Companies Must Develop New Data Muscles to Pivot to Profitable Growth
As the economic environment becomes more somber, companies are focusing on achieving profitable growth and not just growth. Data-driven decisions can accelerate this goal, but organizations must develop new data muscles to get them there. The last few months have been a whirlwind for the business world: slowing growth, bleaker capital markets, layoffs, the possibility […]