The consumer privacy landscape is constantly evolving. Potential regulations like the American Data Privacy and Protection Act (ADPPA), which resemble current laws set forth by the General Data Protection Regulation (GDPR), are keeping marketers on their toes. Meanwhile, other major trends dictating how and when marketers interface with consumer data are on the horizon (such […]
How to Ask Great Questions with a Data Science Lens
When it comes to solving business problems, data scientists understand how crucial it is to formulate the right business question. While it’s easy to get sidetracked by intriguing data trails, the most effective questions are those that align closely with organizational priorities, provide actionable insights, and guide strategic decisions. Here are the key principles for crafting high-impact […]
Cloud Computing and Business Strategy: How to Align for Maximum Impact
Today’s modern business landscape is fiercely competitive, and companies are wielding cloud computing as a strategic weapon to gain an edge. Cloud computing has revolutionized how businesses operate, offering on-demand access to a vast pool of IT resources – storage, servers, databases, networking, and software – all securely delivered over the internet. Imagine ditching expensive […]
Taking the Chill Out of Selecting the Appropriate Iceberg Data Catalog
Over the past few years, the industry has increasingly recognized the need to adopt a data lakehouse architecture because of the inherent benefits. This approach improves data infrastructure costs and reduces time-to-insight by consolidating more data workloads into a single source of truth on the organization’s data lake. This is made possible by data lakehouse table […]
From Complexity to Clarity: GenAI Decodes Clinical Trial Data
As AI matures and becomes more integrated into clinical trial operations, generative AI (GenAI) technology is ushering in a new era for clinical research and drug development, redefining the clinical trial landscape and offering a quantum leap in efficiency and precision. This innovative technology streamlines every phase, transforming traditionally time-consuming processes into swift, automated workflows. […]
Generative AI and Data: Using Knowledge Graphs and RAG Together
Generative AI has huge potential, but it also faces problems. If generative AI creates information that is not factually accurate in response to a user request – resulting in so-called hallucinations – it can have a big impact on users. Relying on large language model (LLM) training data on its own is not enough to prevent […]
The Rise of Cybersecurity Data Lakes: Shielding the Future of Data
The increase in the prevalence and complexity of data breaches points to one conclusion – traditional cybersecurity measures are no longer enough to keep our valuable data safe. According to a recent report, data breaches exposed a staggering 35 billion records in the first four months of 2024. To deal with this escalating crisis, a new solution […]
Data Concierge: Driving Business Intelligence Collaboration
Discerning businesses are ensuring each area of their organizations has access to performance metrics. Armed with data, their teams can accelerate decision-making, respond to client and marketplace demands, and mitigate risks. The issue is many organizations have segregated data environments. Each department often has its own data management platform that may not integrate with other […]
How AI Will Fuel the Future of Observability
We’re seeing a lot of convergence in the market between observability vendors and companies positioned as artificial intelligence (AI) companies. It’s a natural marriage, since AI has the potential to significantly improve what observability does. The question is how to make the best use of AI to support observability in discovering an organization’s unknowns, providing […]
Output Monitoring to Overcome LLM Vulnerabilities
The vulnerabilities in large language models (LLMs), such as their ability to create hallucinations, their inherent biases, and their susceptibility to corruption, have led to hesitation among businesses in deploying AI applications for business advantage. This concern is compounded further by the lag in legislative regulations to address these risks. Despite these challenges, businesses are […]