Re-inventing IT: The Playbook for Hybrid Cloud Transformation in Partnership... Computer Economics: Impact of the Coronavirus Pandemic on IT Budgets in 202...
“Platform-centric AI approach backed by DRYiCE automation-focused offerings. Marquee client base, diverse partnerships, and massive IBM deal.”
- HCL’s Applied AI focuses on 3 key areas: persona-based and human-centric approach, design thinking-led solutioning, and rapid experimentation.
- Its IPs and platform are complemented by several solution accelerators. It has embedded its IP – DRYiCE into solutions, several platforms (such as Advantage IllumInfo and AI Accelerator) and solution accelerators across the value chain (such as Gatekeeper for automated data testing and iAutomate for intelligent runbook automation).
- It has also developed a Data Marketplace (DMP) for on-demand data and insight delivery. In the future, it expects DMP to evolve into an organized catalog of all data and analytics services and assets.
- HCL’s partnerships with technology providers span the areas of joint exploration of opportunities (AWS, Pivotal, and Adobe), lab activities (Microsoft), and product and solution development (IBM and Appian).
- It has partnerships with several start-ups to boost niche and domain-focused capabilities. For instance, it collaborates with Arterys for cloud-based medical imaging platform, Citrine for AI-based data platform for material science, and Hyperscience for automating office work through AI.
Investments and Innovation
- HCL has taken a CoE-centric approach towards developing new offerings, collaboration with partners, and developing thought leadership. It has set up CoEs across geographies for Data Science, Applied AI, Big Data, Visual Analytics, and Data Management.
- It also has several innovation centers and collaborative labs. For instance, in the US, it has set up an innovation center with Tableau and MS Azure. In Sweden, it has a collaborative lab with Microsoft. In India, it has set up a Digital Process Operations CoE with Google.
DISCLAIMER: This graphic was published by Avasant LLC as part of a larger research document and should be evaluated in the context of the entire document. The document is available upon request from Avasant website. Avasant does not endorse any provider, product or service depicted in its research publications, including RadarViewTM, and does not advise users to select only those providers recognized in these publications. Avasant’s research publications are based on information from best available sources and Avasant’s opinion at the time of publication, and their contents should not be construed as statements of fact. Avasant disclaims all warranties, expressed or implied, with respect to this research, including and warranties of merchantability or fitness for a particular purpose.