31 West
APRIL 16, 2024
By selecting strategic functions for outsourcing, you can attain more than just cost savings – you can achieve enhanced flexibility and sharpened focus on core competencies. Utilize Cloud Services Migrating to cloud services translates into direct cost-efficiency for companies.
IBM Services
MARCH 14, 2024
While these challenges are not new, they emphasize the need for a flexible, cloud-native infrastructure. Such infrastructure should not only address these issues but also scale according to the demands of AI workloads, thereby enhancing business outcomes.
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Offshore India Data Entry
JANUARY 22, 2024
This is especially true with offshore BPO services located in regions with lower labor and infrastructure costs. According to Deloitte’s 2016 Global Outsourcing Survey, 70% of respondents reported cost reduction as a key outsourcing objective. Take finance and accounting as an example.
Groove Technology
JUNE 29, 2023
This flexibility not only saves time and effort but also allows businesses to leverage their existing investments while modernizing their software landscape. Custom.NET development allows for the integration of these legacy systems with modern technology, ensuring seamless data exchange, process automation, and improved efficiency.
IBM Services
DECEMBER 1, 2023
By creating an agile, flexible and scalable computing environment, hybrid cloud offers valuable use cases for businesses to accelerate growth and gain a competitive advantage. A container orchestration platform—usually Kubernetes —then automates that deployment across hybrid cloud and multicloud environments.
IBM Services
FEBRUARY 1, 2024
System consolidation You want to reduce the solution footprint and by doing so, reduce infrastructure cost and help shift toward a single source of truth across different components. In addition, you want an automated resource management and industry specific functions such as sales and customer support at the core of operations.
IBM Services
SEPTEMBER 27, 2023
Transparency and flexibility Enterprises that don’t have in-house machine learning talent can use open source LLMs, which provide transparency and flexibility, within their own infrastructure, whether in the cloud or on premises. Added features and community contributions Pre-trained, open source LLMs allow fine-tuning.
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