11:59, a technology services company based in Sacramento, California, announced its Elite-level partnership with Digitate.
This collaboration marks a significant milestone in both companies' missions to modernize and transform business operations with AI, ML, and Automation.
Digitate, with its artificial intelligence and automation solution, ignio™, will accelerate 11:59's ability to deliver cutting-edge, integrated solutions that address the rapidly evolving needs of businesses looking to innovate and streamline their operations.
Noel Gie, Chief Growth Officer of 11:59, said: “This partnership reflects our shared commitment to modernize business operations using our people, processes, and best-of-breed AI, ML, and Automation technologies. By combining our strengths, we aim to drive transformative change, enabling businesses to achieve greater efficiency, agility, and competitiveness.”
Digitate's flagship product, ignio™, is an AIOps platform that accelerates the automation of IT lifecycle tasks from triage to resolution. By teaming with 11:59, Digitate will have access to new resources and technical expertise that will accelerate the development and deployment of innovative solutions on ignio’s SaaS-based platform.
“We see a tremendous synergy between Digitate and 11:59,” said Abhijit Deshpande, Head of Global Ecosystems at Digitate. “We believe that our combined strengths will help businesses optimize their operations, reduce costs, and unlock new opportunities for growth in areas not considered previously.”
The collaboration will focus in the following key areas:
- Advanced Automation: Leveraging Digitate ignio’s AI and automation capabilities, 11:59 will be able to offer its clients enhanced solutions for streamlined business operations and improved efficiency such as Procure to Pay.
- Digital Transformation: With a shared vision of innovation, 11:59 and Digitate aim to accelerate digital transformation efforts for their clients, ensuring they remain competitive in a rapidly evolving tech landscape.
- Accelerated Cloud Adoption: The partnership will produce accelerated outcomes for organizations seeking to harness the competitive benefits of cloud services tailored to the specific requirements of diverse industries, such as healthcare, finance, manufacturing, and more.
As 11:59 and Digitate join forces, clients can anticipate an array of new services and solutions that will drive growth, efficiency, and cost savings.
The Latest
For decades, traditional observability tools have forced IT professionals to sift through endless dashboards, turning a flood of alerts into actionable insight and driving widespread burnout. While enterprises adopted AI to eliminate this friction, most still deploy it reactively rather than proactively ... As systems become more complex and IT moves to the center of business strategy, a reactive posture is unsustainable ...
Ask an operations team what they monitor and you will hear a familiar list: latency, errors, throughput, uptime. Those signals still matter for AI, but they no longer answer the most important question. As Krishna Sai, CTO of SolarWinds, puts it: "Traditional observability tells you a system is running. AI observability tells you whether it's still reasoning soundly. Those are completely different questions" ...
AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...
Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...
Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...
When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...
In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...
Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...
AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...
Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...