Looking ahead to the new year, we’ve identified seven trends in enterprise storage for 2024. In part one, we’ll define and explore the first four trends. The remaining three trends will be the focus of part two. This information will help equip you to prioritize and be successful in the new year. Trend: Freeing up […]
Supercharging Value from Data in 2024
Without a doubt, initiatives such as generative AI (GenAI) and cloud migration have garnered the bulk of attention among influencers and data leaders this year, as organizations tried to determine how, and if, they made sense for their business. This trend looks like it will continue in 2024, as nearly all of Gartner’s top strategic […]
Choosing Tools for Data Pipeline Test Automation (Part 2)
In part one of this blog post, we described why there are many challenges for developers of data pipeline testing tools (complexities of technologies, large variety of data structures and formats, and the need to support diverse CI/CD pipelines). More than 15 distinct categories of test tools that pipeline developers need were described. Part two delves […]
Data Catalog, Semantic Layer, and Data Warehouse: The Three Key Pillars of Enterprise Analytics
Analytics at the core is using data to derive insights for measuring and improving business performance [1]. To enable effective management, governance, and utilization of data and analytics, an increasing number of enterprises today are looking at deploying the data catalog, semantic layer, and data warehouse. But what exactly are these data and analytics tools […]
Benefitting from Generative AI: What to Expect in 2024
According to a recent McKinsey study, the impact of generative AI (GenAI) impact on productivity could add trillions of dollars in value to the global economy which they estimate will add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases analyzed. About 75% of the value that GenAI’s use cases could […]
Data Management Predictions for 2024: Five Emerging Trends
As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies. One thing is clear; if data-centric organizations want to succeed in 2024, they will need to prepare for an environment in which data is increasingly […]
Responsible-First AI Governance: Addressing Ethical Concerns for Scalable Adoption
The world of artificial intelligence (AI) is evolving rapidly, bringing both immense potential and ethical challenges to the forefront. In this context, it is essential to remember that intelligence, when misused, can be graver than not having it at all. As AI technologies scale and become increasingly influential in various sectors, responsible governance becomes paramount […]
2024 Data Trends: From Collaborative Data Sharing to AI-Driven Operations
In the fast-evolving data landscape, understanding emerging trends and embracing technological advancements are key to staying ahead. As we approach 2024, this article explores the data trends that will define the strategic landscape for the coming year. Trend: A Focus on Data Sharing and Data Collaboration Improving data sharing and secure data collaboration between parties is becoming a key area. Companies like Snowflake […]
Fast-Tracking SEC Compliance with AI for GRC and Cybersecurity Disclosure
This year, the U.S. Securities and Exchange Commission (SEC) implemented rules on Cybersecurity Risk Management, Strategy, Governance, and Incident Disclosure for Public Companies. These rules require listed companies to disclose material cybersecurity incidents within four business days and provide ongoing disclosures related to cybersecurity risk management, strategy, and governance. As the December 15 compliance deadline […]
Supercharging Data Management in the Climate-Risk Sector
The insurance industry and the broader risk management sector have long contended with Data Management issues. Updating and integrating legacy systems while ensuring quality across the board has proved difficult for most people in these fields. For those working in the climate solutions space, Data Management constitutes a challenge because of the diverse and dynamic […]