DUBLIN--(BUSINESS WIRE)--The "Blueprint Report Enterprise Artificial Intelligence (AI) Services 2018" report has been added to ResearchAndMarkets.com's offering.
The pace of change driven by the onset of AI is nothing short of
astounding. Startups continuously change perceptions of what
best-of-breed might mean. At the same time, we see PoCs progressing to
projects literally within a few months. Consequently, many boards are
paranoid about the emerging notions of cognitive and AI, but all too
often fail to turn those fears into actionable items.
Against this background this report takes stock where the enterprise
market for AI really is at. How is AI enabling organizations journey
toward the OneOffice? A crucial element of this report is to play back
the lessons learned from the early deployments.
Key Market Dynamics
- AI in not one market, but AI should be seen as a set of technologies and building blocks. AI not only intersects with Automation and Analytics as the Triple A Trifecta framework suggests, but AI should be seen as a set of technologies and building blocks that span a continuum and should be discussed within the context of business operational impact, service delivery capability, and specific use cases.
- Enterprise AI is still at the periphery of the enterprise or applied as a bolt-on. Reflecting the early development phase, organizations pursuing AI solutions with a "bolt-on" approach, applying AI at the edge of the enterprise. As the market matures, AI has the potential to disrupt and replace enterprise architectures and enterprise software.
- The Enterprise AI market has a duplexity of approaches: Industrialization and project-centric. We have to be cognizant of the disparate starting points and context for projects. Not least in order to get a better sense of the capabilities of service providers, we need more differentiation in the discussions around AI. RPA and chatbots are low level; compare those with the expansion of data science projects, autonomics, or even virtual agents, which have a high complexity and require significant investments.
- The Holy Grail of AI is at the intersection of iterative data inputs and minimal training of algorithms. The are many misguided expectations that one has only to throw Machine Learning at data and that would be sufficient to integrate those data sets in production. Rather organizations have to move to a data-centric mindset where data is the centrepiece of digital strategies.
Companies Featured
- Accenture
- Atos
- Capgemini
- Cognizant
- Deloitte
- DXC Technology
- EY
- Genpact
- HCL
- IBM
- Infosys
- KPMG
- LTI
- PwC
- Syntel
- TCS
- TechMahindra
- Wipro
Topics Covered
- Introduction and Key Definitions
- Executive Summary
- The State of the Enterprise Artificial Intelligence Market
- Research Methodology
- Service Provider Grid
- Service Provider Profiles
- Market Predictions and Recommendations
For more information about this report visit https://www.researchandmarkets.com/research/tvwzzv/blueprint_report?w=4
