Unravel Data announced the appointment of Steven Wastie as its CMO.
With more than 20 years of global marketing, product management and business development experience, Wastie assumes responsibility for building and scaling the marketing organization to support the strategic growth of the company.
Wastie previously served as CMO at AppDynamics during its hyper-growth phase and most recently as CMO at Origami Logic, a big data analytics company. He brings a strong background in building brand awareness and the keen ability to leverage marketing technology and data analytics to drive sustainable revenue results, build dynamic teams and lead organizations as they scale.
“Steven has a proven track record of implementing and scaling effective marketing strategies that combine his technical, analytical and creative skills to build results-driven marketing engines,” said Kunal Agarwal, CEO of Unravel. “His knowledge of the market is rooted in his deep enterprise experience and understanding of the highly specialized needs of organizations as they unlock the true potential of big data. Steven comes with the highest of recommendations from his peers, and we’re thrilled about the leadership, intense passion and the pivotal role he will play as we propel our efforts in delivering the most complete APM solution for big data applications.”
“The continued transformation of modern application architectures continues to present significant opportunities to innovate and disrupt. Unravel has come to market with the industry’s leading solution to not only provide visibility into how these applications are performing but to also provide granular insights and recommendations to auto-tune and auto-remediate issues proactively or as they occur. As a new generation of applications that depend on the big data stack are going into production, such as the Internet of Things (IoT), customer analytics, machine learning and fraud prevention, they require a different approach to deal with much higher data volumes, a much more distributed run-time and continuous deployment methodology,” stated Wastie. “Unravel has already experienced unprecedented customer validation very early on from leaders in the technology, healthcare and finance industries. I am humbled to join such a talented team and excited to help them drive continued growth and market leadership.”
The Latest
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...