IBM and Salesforce have launched an Artificial Intelligence partnership, bringing their own respective AI systems together to create a cognitive computing breakthrough for the ages.
If you are a big fan of the Terminator movies and you believe computers would one day take over the world, then this deal should be blowing your mind right now!
However, if you live in the real world and you’ve been racking your brain trying to deliver a better service to your clients, then you should be praising whatever deity you called on because your wishes are about to come true.
To recap: IBM and Salesforce have launched an Artificial Intelligence partnership, bringing their own respective AI systems together to create a cognitive computing breakthrough for the ages. IBM Watson focuses on industry-wide data, while Salesforce’s Einstein is the next step in CRM greatness.
In other words, Watson will give company information on everything it needs to know about its industry in a self-improving manner, while Einstein will help them apply that knowledge to individual clients.
The implications are astounding, especially for those interested in offering highly personalized solutions. No more bulk mails – every recipient will get service updates, sales information, or whatever it is you do, that only pertains to their current and future interests.
In other words, every client is about to become the most critical person in their service-provider — no more squabbling over not getting enough face-time from your bank.
From an employee’s perspective, IBM and Salesforce are trying to accomplish the impossible: make work fun. Once your metrics are plugged in, go make yourself a cup of coffee, while Watson and Einstein go to work for you and you take all the credit.
Sounds great, but can it really be that good, or will I just end up cleaning after my computer’s mess?
If you’re smart, (you must be, that’s why you are reading this), then you know you shouldn’t believe everything you read. You have to do your own research and find out how it really works. Don’t believe the hype. So, let’s break this down:
Watson’s ability to interpret unstructured data from within an organization or industry-wide, will merge with Einstein’s understanding of the individual’s needs, wants, habits and trends, to enable faster, more intelligent and more useful results in fields ranging from sales and marketing to retail, finance, insurance, education, and healthcare.
IBM’s The Weather Company will provide information on weather-related to business or consumer behavior, while Einstein will be able to see how this information will help clients schedule meetings, use a different car or route to work, etc. Insurance companies can use this data to send personalized emails to clients, to protect their homes or vehicles from weather damage.
Salesforce users will gain access to industry-wide data via seamless integration with IBM’s business solutions, and combine on-premise data with cloud data.
Bluewolf is an IBM company that has deployed Salesforce services for the past fifteen years and is ready to take on this new role of implementing this new AI combination.
The first advantage of this killer partnership is an improvement in customer service. Companies can now take advantage not only of Einstein’s in-depth understanding of clients but Watson’s knowledge of the market.
Wealth advisors, for example, will now be better able to recommend investment plans which satisfy every risk level. Retailers will stop recommending outfits you would never buy, and your insurance company will provide solutions that will save you time and money.
The improvement in results from companies using these systems is expected to be phenomenal. Not only will they receive more clients, but other companies would want to adopt them too.
This will bring about a marked increase in the number of Salesforce customers. As a result of this, more people will be served much quicker than ever before, and more accurately too.
On a subconscious level, people already expect companies to behave like machines – to know everything. This has been imprinted via predictive texting, personalized online ads, and Netflix recommendations. We expect businesses to read our minds.
The demand for a service that already knows what you want before you walk through the door is already there; we just don’t think of it as AI.
Now, Watson and Einstein will not only predict what you want before you walk through the door, but they’ll also tell you which door to walk through and when.
The cost-saving implications of a system that cuts through the chaos can be quite exponential. Clients will be provided with solutions that are more accurate, thus preventing the need for a second opinion or disappointments from a misdiagnosis.
As mentioned already, insurance companies will now give better advice to clients. Retailers will offer discounts at the right time. Patients will know when and where to get treatment at the cost they can afford.
The Salesforce and IBM partnership has the potential to level the playing field for job seekers. Now, you can be a sales rep at a fixed location and still deliver top-tier results. Physically-impaired job seekers can now take advantage of this system, thanks to cloud-based operations.
The one downside of this partnership is that no one using this system has any excuse for poor service delivery. They have made doing business a lot simpler, and with a system that learns and adapts quickly to changes than we can.
The major headache for companies is to figure out which metrics the system should analyze and how to apply it to their clients.
But that is where Bluewolf comes in. Bluewolf consulting service has the task of helping companies get set up with the system and use it to maximum effectiveness. After all, having a cognitive system doesn’t imply you will use all its functionalities.
The worst-case scenario is the partnership doesn’t deliver as promised. But if they don’t, someone else will. There is a long line of companies developing their own AI platforms, and some are secretly hoping the partnership crashes.
If you’re tired of long, frustrating days at the office with subpar results, then let’s hope they are wrong and we get all we were promised. If you agree, share this post.