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LTIMindtree Collaborates with CAST AI

LTIMindtree announced a strategic collaboration with CAST AI to help companies save, on average, over 60 percent on cloud costs as they modernize legacy applications for cloud migration.

This collaboration brings together LTIMindtree’s Infinity platform, with CAST AI’s cloud cost optimization platform to provide enterprises with a complete view of their cloud portfolio. This combined offering will empower organizations to optimize Kubernetes management and costs in a single or multi-cloud environments, without any manual intervention. It will also help free up the customers’ time from routine tasks by automating 100% of their cloud-native infrastructure, resulting in increased stability and reduced costs.

Yuri Frayman, CEO and Co-founder, CAST AI, said, “Our speciality at CAST AI revolves around cloud cost optimization. Google Cloud Platform alone has some hundreds of virtual machines on offer. The manual effort of configuring resources, picking virtual machines, and setting auto-scaling policies is overwhelming. And frankly, it costs more than its optimization impact. We automate the entire process, reducing your cloud costs in real-time.”

“This partnership with CAST AI has enabled us to offer discrete services to our customers aligned with their business goals and objectives. Through this collaboration, we are assisting our customers in deriving value from their cloud investments through enhanced end-to-end observability & cost optimization, along with freeing up their budget for modernization,” said Nachiket Deshpande, Whole-Time Director, and Chief Operating Officer, LTIMindtree.

The collaboration will strengthen the value proposition and help the organizations align their cloud usage strategies and achieve continuous cost savings.

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LTIMindtree Collaborates with CAST AI

LTIMindtree announced a strategic collaboration with CAST AI to help companies save, on average, over 60 percent on cloud costs as they modernize legacy applications for cloud migration.

This collaboration brings together LTIMindtree’s Infinity platform, with CAST AI’s cloud cost optimization platform to provide enterprises with a complete view of their cloud portfolio. This combined offering will empower organizations to optimize Kubernetes management and costs in a single or multi-cloud environments, without any manual intervention. It will also help free up the customers’ time from routine tasks by automating 100% of their cloud-native infrastructure, resulting in increased stability and reduced costs.

Yuri Frayman, CEO and Co-founder, CAST AI, said, “Our speciality at CAST AI revolves around cloud cost optimization. Google Cloud Platform alone has some hundreds of virtual machines on offer. The manual effort of configuring resources, picking virtual machines, and setting auto-scaling policies is overwhelming. And frankly, it costs more than its optimization impact. We automate the entire process, reducing your cloud costs in real-time.”

“This partnership with CAST AI has enabled us to offer discrete services to our customers aligned with their business goals and objectives. Through this collaboration, we are assisting our customers in deriving value from their cloud investments through enhanced end-to-end observability & cost optimization, along with freeing up their budget for modernization,” said Nachiket Deshpande, Whole-Time Director, and Chief Operating Officer, LTIMindtree.

The collaboration will strengthen the value proposition and help the organizations align their cloud usage strategies and achieve continuous cost savings.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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