Wealth Management’s use of AI: humans and machines happy together?
AI in wealth management is gearing up, and the first leg of the AI journey is data.
By Denise Valentine
September 11, 2018
At the core of the investing and wealth world is the financial advisor who builds a close working relationship with the client. This middleman works hand in hand with technology, and new tools must evolve in conjunction with this human and purposeful guide. Can artificial intelligence increase speed to market and firm profitability, and improve the service offering, advisor-client relationships, and ultimately client outcomes?
Based on Aite Group interviews conducted in July and August 2018 with executives at U.S. and Japanese broker-dealers and wirehouses, and at large U.S. RIA firms, this report overviews the status of AI in wealth management and includes a detailed case study of Morgan Stanley’s Next Best Action.
This 35-page Impact Note contains two figures and four tables. Clients of Aite Group’s Wealth Management service can download this report, the corresponding charts, and the Executive Impact Deck.
This report mentions Avaloq, Adobe Analytics, Blue Prism, Celonis, DataRobot, Digital Reasoning, Envestnet Yodlee, Fidelity Labs, Giant Oak, Google Cloud, Grapevine6, IBM, Indico Data Solutions, Infosys, Kore.ai Bots, Kryon Systems, Legal Robot, Loop AI Labs, Lucid, Lucidworks, Morgan Stanley, Morningstar, Narrative Science, NexJ Systems, OpenText, Pegasystems, Personetics Technologies, Salesforce, Sapient Consulting, SAS Software, SEI, SenseTime, Simplify.ai, Socure, Thomson Reuters Corporation, UiPath, Veritone, VoiceSense, and x.ai.
(The above is the introduction to this analyst report. The full report is available to the subscribers of Aite Group’s analyst service.)
For more information on this analyst report, please click here.