Matt Cloke, Chief Technology Officer at Endava, has joined the APM Blog on APMdigest.
Cloke leads the technology organization in Endava with responsibility for the Catalyst Consulting & Advisory team, Close to Client Delivery, Internal Technology, Innovation and Endava’s suite of capabilities utilized to deliver to clients. Cloke has worked with Endava since 2014 and has over 30 years of experience as a technologist across a broad set of industry sectors. Matt is passionate about the positive impact that technology can have on people’s lives.
Endava is a software development company that provides digital transformation consulting, agile software development services and various automation solutions. Endava helps companies accelerate their ability to take advantage of new business models and market opportunities through the use of new technology. By ideating and delivering dynamic platforms and intelligent digital experiences, we help our clients fuel the rapid, ongoing transformation of their business.
The Latest
Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place ...
In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...
In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...
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 ...
In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...
Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...
App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...
Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...
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 ...
