Customer Experience – It is all in the Data. Really?
A while after my earlier discussion with Abinash Tripathy from Helpshift about the value for customer experience of bots in customer support he contacted me with some exciting news about what he and his team are doing now. Believe me, it is interesting – but read for yourself. Our conversation, of course, led on to another vivid discussion about things to come and things that in our opinions should come. The bottom line is that we live in a data driven, always on, real-time world, where prediction of events or the ability to suggest an action is becoming increasingly a differentiator … be it in a B2B- or a B2C world. Think of Rolls-Royce selling uptime of their engines, entire airplanes nearly continuously sending telemetry data “home”, or the massive amount of data that a Formula 1 car continually sends in order for the team to take proper real-time decisions. Any car already collects a lot of data – it just needs to get connected to allow for prediction of maintenance to prevent failures. Or think of entire power grids that are already instrumented in a way that allows the operator to predict a failure several days in advance, so that the affected element can get fixed before it fails. It is all in the data? The secret is in having the data. And in the algorithms, be they event- and rule based, or more sophisticated and using machine- or deep learning. Neither data nor algorithms alone are the goal. Because what is needed is actionable insight. Actionable insight emerges only if the right algorithms are applied to the...
Is a Twitter acquisition pending? A Snap Analysis
Back in June most of us got surprised by the news that Microsoft has acquired LinkedIn. Neither of us deemed this a bad move from a company point of view. There ae just too many potential synergies between MS Dynamics CRM, Office365, Azure on one side and LinkedIn, as the leading business network on the other. At that time many of us, including myself, were musing about when Twitter will be acquired, and by who. #MSFT acquired #LinkedIn – Twitter now the last source of global personal #data. Is it up for grabs? Who would buy? #AAPL? #Google? — Thomas Wieberneit (@twieberneit) June 16, 2016 thinking of it – @SAP might find Twitter a good match, looking at their recent offerings #bigdata #AI #analytics https://t.co/sgUpcLgRBK — Thomas Wieberneit (@twieberneit) June 16, 2016 My initial guesses have been Apple or Google, then suggesting SAP to have a look into it. Thinking of it I could have added Oracle, IBM and Salesforce or media companies including telcos into the mix. In brief, a lot of companies should be interested in the treasure pit of data, behavioral data, that Twitter holds. Why? There are multiple reasons. Twitter is the last remaining independent social media outside Facebook and the big Chinese ones that the big western companies will not get access to; Tencent, Alibaba, Momo, etc. are rather buying it themselves than being for sale (to a western company), Facebook doesn’t need to. Twitter has a profitability and growth challenge, but an interesting technology and, importantly, is a great source of real time information about a lot of topics, from business to consumer....
Putting the Cart in front of the Horse – Chatbots in Support
My recent rant on chatbots having the potential to kill user experience got some nice reactions. It brought me into some interesting discussions on support, mobile, the role, strengths and deficiencies of artificial intelligence (AI) and machine learning (ML) and so forth. Most of these discussions dealt with mobile support but also with the question where AI could benefit most. Particularly good one were with Abinash Tripathy, CEO of mobile support platform Helpshift and Srikrishnan Ganesan, founder of Konotor, now hotline.io after being acquired by Freshdesk at the end of 2015. Both companies have a focus on in-app support, a solution category that basically got introduced by Helpshift, after Abinash identified a lack of good options or delivering support directly to and via mobile phones. One of the premises is that a lot of the technically necessary and relevant information can get collected directly and sent to the service back end transparently. They have some big customers, including Microsoft and a raft of gaming companies, including Zynga and Supercell. He, of course, has an opinion on bots in support, which he recently also expressed on Venturebeat. Hotline.io has a customer base that is mainly made of transactional companies, which, too, leads to a high message load but also leads to different approaches, as the user context is often about past transactions. This means that regularly not that much information gets sent together with the support request. Sri, too, has a vision on how to incorporate AIs and bots into support. Hotline.io is offering a browsing style of offering help using a shallow tree with icon-supported categories on top of...