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 […]
Key Steps for Managing Scope 3 Data Efficiently
As the effects of climate change become increasingly clear, businesses today are facing unprecedented pressure to rein in their carbon footprints and to properly account for and disclose their environmental impact. The era of vague, voluntary corporate mission statements on climate-related goals to satisfy internal and external stakeholders’ demands is over. In their place have […]
Streaming Data Dilemma: 5 Reasons Some Companies Aren’t Streaming Data Yet
In the era of big data and bigger AI, businesses are relying more on the importance of real-time data processing and analytics. Streaming data is a powerful paradigm for handling continuous, unbounded streams of data in real time. However, despite benefits like reduced latency, improved responsiveness, and the ability to make data-driven decisions on the […]
Data Synchronization: Definition, Tips, Myths, and Best Practices
Businesses rely on accurate, synchronized information to make informed decisions. Because discordant data leads to operational inefficiencies, missed opportunities, and costly mistakes. Hence, a unified, reliable source of truth is key, which is possible through data synchronization. It helps maintain consistency across disparate systems, enhancing data reliability and improving decision-making. So, to get started with […]
Enterprise Data World 2024 Takeaways: Trending Topics in Data Architecture and Modeling
I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event. Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. Part […]
Integrate Data Architecture with Business Operations to Boost Success Now
In the contemporary data-driven business landscape, the seamless integration of data architecture with business operations has become critical for success. There is a symbiosis between sophisticated data architectures and operational agility that demonstrates how this integration facilitates real-time decision-making, predictive analytics, and personalized customer experiences. As IT professionals amalgamate data architecture and business operations, they analyze […]
RAG (Retrieval Augmented Generation) Architecture for Data Quality Assessment
A large language model (LLM) is a type of artificial intelligence (AI) solution that can recognize and generate new content or text from existing content. It is estimated that by 2025, 50% of digital work will be automated through these LLM models. At their core, LLMs are trained on large amounts of content and data, and the architecture […]