IBM Client Engineering
Rapidly innovate and co-create with IBM experts to solve your most complex business challenges
Rapidly innovate and co-create with IBM experts to solve your most complex business challenges
IBM Client Engineering delivers meaningful and scalable business outcomes across all industries. With our deeply skilled multi-disciplinary squad and human-centered approach, we provide value-based experiences and solutions catered to your organization’s needs.
Whether a custom demo in your environment or an MVP to prove value, we meet you where you are and work with your organization at any stage of its digital transformation journey. Client Engineering is an investment in you to co-create and innovate leveraging IBM technology and methodologies.
Develop user-centric solutions to your most pressing pain points with measurable business outcomes.
Together, we define the proposed solution and deliver value, in days to weeks.
We co-create iteratively to grow alongside your organization, delivering enterprise scalability, securely deployed on your platforms of choice.
Leverage deep industry expertise with our agile teams of business technology leaders, technology engineers, solution architects, designers, and data scientists.
Build rapidly with IBM hybrid cloud and AI technologies to stay ahead of an ever-changing market.
Advance digital transformation with IBM's proven technology, accelerators, and methodologies.
This has been a wonderful experience… IBM has provided us with multiple insights of our business, identifying key elements of our business processes, the importance of data, and how to approach an AI project.
Jesús Salvador Rueda
Innovation and Architecture Leader
ADIF
Within... days, we had the proof of concept, the results of which had demonstrated that we could improve our coverage by 500% and lower our costs by 80%.
Joni Rolenaitis
Chief Data Officer, Business Information Services
Experian
Led by our data science experts these focused briefings will help evaluate your current approach towards AI Governance, ML Ops, or Trustworthy AI.