Enterprises are increasingly operating in a dynamically changing and fluid environment. They are constantly changing gears just to keep pace. CXOs are constantly looking for ways to overcome or create disruptions in a world becoming increasingly complex. Infosys Consulting Blog gathers a community of subject matter experts who are driving pragmatic conversations around that which is changing and that which needs to be rethought, redefined and redesigned for enterprises to achieve market-leading performance roadmaps.

« The Pharmaceutical and Healthcare Sectors: How social can they get? | Main | Dreamforce 2016: When Einstein came calling! »

Dreamforce 2016: There's a lot to Tweet about!

It's time once again for Salesforce's annual spectacular event Dreamforce with this year's event scheduled to start at SFO from Tuesday, Oct 4th. Salesforce has been in the news lately though not due to Dreamforce. The news is about Salesforce being one of the potential suitors for Twitter if that company is up for sale. With Disney and Google as probable competitors of Salesforce in this race, it makes for interesting news indeed. As a practicing consultant, I'd be interested to learn what the use cases would be for Salesforce to incorporate Twitter into their products and offerings, as Salesforce products already have good collaborative capability out of the box.


Coming back to the topic of Dreamforce, we need to get prepared for the deluge of information from Salesforce that will be available throughout the course of the event. Here are some areas that I would to like gather information on so that I can help my clients make better decisions about Salesforce products (whether they are existing users or are thinking about trying Salesforce products):


1.       Salesforce Lightning vs. Salesforce Classic:

Lightning is different user experience with a new user interface (UI) that moves away from the previous version, Salesforce Classic, which was characterized by tabs at the top the UI. As I mentioned in my blog post on Lightning in July (URL:, from an implementation perspective there are some limitations that call for a careful assessment of which option is more suitable for the unique needs of my clients. I'd like to see what changes are on the horizon for Lightning and how that can shape future decisions on this topic.


2.       Einstein for Artificial Intelligence (AI):

Salesforce recently announced the availability of Salesforce Einstein - meant to help enterprises to deliver customer experiences based on predictive analysis i.e. AI for CRM. This appears to involve all the major cloud offerings of Salesforce (Sales Cloud, Service Cloud, etc.) and I am eager to see the demos during Dreamforce to understand where this is with respect to practical implementation in my client's projects i.e. the likely use cases for immediate application of this offering.


3.       Wave Analytics:

This has been around since 2014. However, I've seen more interest amongst my clients in recent times than before, which is not surprising as Wave Analytics itself has been gaining traction slowly. Salesforce has been working on areas like making it more declarative (more clicks less coding) and improving the ability to use multiple external data sources. Given the popular and successful capabilities of the Sales Cloud and Service Cloud offerings, a stronger Wave Analytics offering will certainly be good news for Salesforce fans.


Are you planning to participate in Dreamforce too (either in person at SFO or over media channels)? Are there Dreamforce sessions or topics that interest you? I welcome your comments. My next blog post will be immediately after Dreamforce and will be a summary of the event (similar to my last year's post: 


Indeed. This event is an excellent place to get a glimpse of what’s coming in area of customer experience, and listen to some of the challenges clients are facing. With the Big Data innovation wave behind us, the attention of the industry is shifting towards solving problems using massive amount of data, which getting cheaper to procure day by day, versus riding on the wave. Einstein launch suggests that Salesforce’s push to become a platform which also offers artificial intelligence technique to create better customer experience by leveraging CRM data which exists on its platform. It would be interesting to see what exactly Salesforce has it in its mind!

Post a comment

(If you haven't left a comment here before, you may need to be approved by the site owner before your comment will appear. Until then, it won't appear on the entry. Thanks for waiting.)

Please key in the two words you see in the box to validate your identity as an authentic user and reduce spam.

Subscribe to this blog's feed

Recommend on Google

Follow us on

Infosys on Twitter