Enterprise AI – IBM and Salesforce
Microsoft to Facebook could be what IBM is to Salesforce
Salesforce and IBM have announced a wide ranging partnership which will combine their two AI offerings but they will continue to sell the combined offering under two brands. At the same time IBM has announced that it will move its CRM business to Salesforce, depriving Microsoft of a landmark customer. IBM and Salesforce also stated that they already have about 5,000 clients common but virtually no overlap which means to me that the cross-selling opportunity is actually not that large.
Hence, we think that the main reason for the combination is that today AI requires both a lot of time and a lot of data and it is here where IBM and Salesforce can help each other out. IBM’s Watson has been around for many years which makes it one of the most experienced. Salesforce is a relative new comer to AI but I think that it is generating far more data than IBM is. Consequently, it is not hard to see how using Watson’s brains and Einstein’s data could result in more effective AIs being trained in a much shorter period of time.
Compared to consumer, enterprise AI is much trickier as each corporation wants different things from AI and the data sets are quite specific to each company. Hence, we can see more general algorithms being trained by the supplier which are then customised with the requirements and specific data set of specific customer companies. The net result is that we can see a lot of sense in this tie up as both companies will be able to do what they are currently doing better without treading on each other’s two.
In the same vein, there may be some sense in Microsoft doing a similar deal with Facebook in consumer. Facebook is sitting on the second largest data pool in the world but has no idea what do to with it while Microsoft has some history in AI, but its waning consumer ecosystem means that its data volumes in this area leave a lot to be desired. Furthermore, Facebook and Microsoft do not really compete against each other anymore and are already co-operating on building an undersea cable. Consequently, a co-operation on AI could have significant benefits to both companies and would go quite some way to fixing the serious problem that Facebook has with AI. We continue to prefer Microsoft, Baidu and Tencent over Facebook.
Disclaimer - Past performance is no guarantee of future results. Inherent in any investment is the potential for loss. This material is being provided for informational purposes only and nothing herein constitutes investment, legal, accounting or tax advice, or a recommendation to buy, sell or hold a security. This document may contain materials from third parties, which are supplied by companies that are not affiliated with Edison Investment Research. Edison Investment Research has not been involved in the preparation, adoption or editing of such third-party materials and does not explicitly or implicitly endorse or approve such content. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. It should not be assumed that any investments in securities, companies, sectors or markets identified and described were or will be profitable. All information is current as of the date of publication and is subject to change without notice. While based on sources believed reliable, we do not represent this material as accurate or complete. Any views or opinions expressed may not reflect those of the firm as a whole. Edison Investment Research does not engage in investment banking, market making or asset management activities of any securities. The material has not been prepared in accordance with the legal requirements designed to promote the independence or objectivity of investment research.