DataOps
We surveyed IT professionals on their attitudes and practices regarding using Generative AI with databases. We asked how they are layering the technology in with their systems, where it's working the best for them, and what their concerns are ...
A silo is, by definition, an isolated component of an organization that doesn't interact with those around it in any meaningful way. This is the antithesis of collaboration, but its effects are even more insidious than the shutting down of effective conversation ...
As organizations strive to capitalize on their ever-growing data trove to scale their operations and improve business outcomes, only 17% of data ingested or landed consists of emergent data types, and only 9% of that data is processed or analyzed, according to a new report from BMC, Putting the "Ops" in DataOps: Success factors for operationalizing data ...
More enterprises are implementing hybrid cloud management platforms as they diversify their IT environments to overcome the limits of relying solely on public clouds, according to a new research report published by ISG ...
In today's digital age, telemetry data (i.e., logs, metrics, events, and traces) helps provide insights into system performance, user behavior, potential security threats, and bottlenecks ... To maximize telemetry data utilization, organizations need to focus on establishing trust in their telemetry pipelines. Here are seven ways telemetry pipelines can help build confidence in data ...
While nearly all data leaders surveyed are building generative AI applications, most don't believe their data estate is actually prepared to support them, according to the State of Reliable AI report from Monte Carlo Data ...
Companies prefer a mix of on-prem and cloud environments, according to the 2024 Global State of IT Automation Report from Stonebranch. In only one year, hybrid IT usage has doubled from 34% to 68% ...
Despite a near-unanimous desire to adopt AI technology, very few respondents have confidence in their organization's readiness to integrate AI, pointing to limitations in data and infrastructure and security concerns, according to the 2024 IT Trends Report, AI: Friend or Foe? ...
As organizations continue to navigate their digital transformation journeys, the need for efficient, secure, and scalable data movement strategies has never been more critical ... In an era when enterprise IT landscapes are continually evolving, the strategic movement of data has become a cornerstone of maintaining agility, competitive edge, and operational efficiency ...
Nearly half (44%) of IT leaders surveyed believe their organizations are fully set up to realize the benefits of AI, according to Architect an AI Advantage, a report commissioned by Hewlett Packard Enterprise (HPE). The report reveals critical gaps in their strategies ...
Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...
As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...
The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...
A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner survey ...
The power of AI, and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate ... Gartner identified the top data and analytics (D&A) trends for 2024 that are driving the emergence of a wide range of challenges, including organizational and human issues ...
IT and the business are disconnected. Ask the business what IT does and you might hear "they implement infrastructure, write software, and migrate things to cloud," and for some that might be the extent of their knowledge of IT. Similarly, IT might know that the business "markets and sells and develops product," but they may not know what those functions entail beyond the unit they serve the most ...
If there's one thing we should tame in today's data-driven marketing landscape, this would be data debt, a silent menace threatening to undermine all the trust you've put in the data-driven decisions that guide your strategies. This blog aims to explore the true costs of data debt in marketing operations, offering four actionable strategies to mitigate them through enhanced marketing observability ...
Data mesh, an increasingly important decentralized approach to data architecture and organizational design, focuses on treating data as a product, emphasizing domain-oriented data ownership, self-service tools and federated governance. The 2024 State of the Data Lakehouse report from Dremio presents evidence of the growing adoption of data mesh architectures in enterprises ... The report highlights that the drive towards data mesh is increasingly becoming a business strategy to enhance agility and speed in problem-solving and innovation ...
We increasingly see companies using their observability data to support security use cases. It's not entirely surprising given the challenges that organizations have with legacy SIEMs. We wanted to dig into this evolving intersection of security and observability, so we surveyed 500 security professionals — 40% of whom were either CISOs or CSOs — for our inaugural State of Security Observability report ...
As data insights continue to be the key factor in driving business innovation and growth, organizations are constantly refining their data strategies, exploring frameworks like data mesh to give more users self-service access in producing and consuming data ... Whilst the distribution and delegation of responsibilities promoted through data mesh has many benefits, achieving an implementation that fulfills data security standards is not without its challenges. Many organizations run into issues around data access, governance, and privacy. Let's explore these issues further and some steps organizations can take to help overcome them ...
Industry experts offer predictions on how DataOps will evolve and impact IT and business in 2024: Analytics will be all encompassing in 2024 as we become reliant on data for everything from everyday business research such as inventory and purchasing to predictive analytics that allow businesses to see into the future ...
Industry experts offer predictions on how DataOps will evolve and impact IT and business in 2024: Data observability will become mandatory as organizations seek to drive smarter automation and faster decision-making in 2024. As the volume of data has continued to double every two years, organizations are urgently seeking to ingest and analyze it faster and at a greater scale. However, the cost and risk of poor-quality data is greater than ever ...
No one ever said Site Reliability Engineers (SREs) have it easy. SREs have to deal with ever-increasing amounts of data that is increasingly complex to discover and analyze. Heaps of metrics, logs, traces, and profiling data are also siloed, leading to a fragmented and opaque monitoring toolset to navigate operational efficiency and problem resolution ...
Part 3 covers even more on Observability: Observability will move up the organization to support the sustainability and FinOps drive. The combined pressure of needing to adopt more sustainable practices and tackle rising cloud costs will catapult observability from an IT priority to a business requirement in 2024 ...
