The Data Governance lead is responsible for the systems and rules used to ensure data is legal, well-organized, safe, accessible, and valuable. They are responsible for developing and communicating Data Governance policies. Because Data Governance covers a wide range of responsibilities, a variety of people are involved, and the Data Governance lead manages how they […]
2022: The Dawn of Next-Gen Conversational AI?
The 2021 tech world was as busy as it has ever been, thanks to the continued challenges presented by the COVID-19 pandemic. And this is particularly true for conversational AI. From insurance to retail, businesses are doubling down on their technology investments and broader digital transformation efforts as they try to adapt to the expectations […]
The Blame Game Undermines the Benefits of Cloud Adoption
It’s human nature to want to point the finger at someone else when something goes wrong, but even if responsibility rightfully lies elsewhere, that’s an ineffective way to solve a problem. Sure, root cause analysis requires identifying the source of an issue, but all too often, we stop short at the person or group exhibiting […]
AI Ethics: Risk and Opportunity
Risks often dominate our discussions about the ethics of artificial intelligence (AI), but we also have an ethical obligation to look at the opportunities. In my second article about AI ethics, I argue there is a way to link the two. “Our future is a race between the growing power of technology and the wisdom with […]
Stardog Demo: Unlock the Power of Your Data Lake with an Enterprise Knowledge Graph
Download slides here>> Companies have struggled to gain value from data lakes. They require extensive preparation and coding to make data accessible and queryable, making them prohibitively expensive and slow for analytics. As a result, data and analytics teams spend the bulk of their time wrestling data problems vs. delivering analytic insights, costing organizations billions […]
Datablau Demo: Modern Data Modeling Platform – From Data Modeling to Data Catalog
Download slides here>> Taking the right architectural approach to data governance can build a strong foundation for trusted data throughout the enterprise. An agile Data modeling management is proactive standardize increment schema designs, preventing data governance costly. Integrate data modeling and development, landing business glossary to data model, review data model in each iteration and […]
Sisense Demo: The Dashboard Paradox – Breaking the Adoption Barrier with Infused Insights
Download slides here>> It’s time to think differently about data and analytics strategies. While many organizations have progressed from relying on static reports generated by IT teams to using some version of a self-service model, most still struggle to reap the world-changing benefits long-promised by experts. Unfortunately, each evolution has delivered only incremental improvements over […]
Innovative Systems Demo: Achieving High-Quality Enterprise Data in a Fraction of the Time and Effort
Download slides here>> An organization’s data typically grows at a rate of 40% to 60% per year, with myriad data-oriented initiatives to go with it. Proper data quality is the bedrock of any successful data-oriented business initiative, from data governance and analytics to digital transformations and migrations. It can be a daunting challenge to understand […]
Ataccama Demo: Preparing for Enterprise Data Fabric – Metadata Driven Approach to Data Quality
Download slides here>> With the emergence of Enterprise Data Fabrics and Data Meshes, Data quality is becoming more important than ever before. This opens new unique challenges and opportunities. Ataccama has perfected massively scalable Data Quality implementations for the last decade and developed metadata-driven methodologies to address the challenges emerging from ever-changing and growing data […]
Data Architecture Trends in 2022
The primary purpose of implementing a Data Architecture is to standardize the methods and protocols, as well as the systems for acquiring, storing, managing, and sharing data across the enterprise for improved decision-making. In modern businesses, most decisions are made in real time, and to facilitate an efficient and real-time friendly Data Management infrastructure, data […]