Tag: Salesforce Einstein

Einstein

Salesforce Introduced Einstein Search to Personalize CRM Search Results with AI

Today’s world is more digitally connected than ever. People use online search engines to get information. Search engines often try to provide accurate results in order to make search results more consistent. Users also expect a fast, reliable and relevant search experience, However, at times it becomes a little complex for them to get accurate results. This becomes even more complex while search happens using a CRM. It takes multiple clicks, interfaces, and hassles to get correct results. That’s a big worry, isn’t it? The search should be seamless and must give you highly relevant results quickly. To improve CRM search experience & productivity with AI, Salesforce introduced ‘Einstein Search‘ which is an intelligent search that is highly efficient, personal, accurate & insightful.

Enterprise search is completely different from consumer search. There are multiple challenges involved in enterprise searches. One of the biggest challenges is a diverse user base with a different set of goals. A sales rep will try to search for recent leads while a service agent will search closed customer cases. Another challenge is the different nature of data. When an enterprise uses a CRM, the functionalities and search results depend on their data and data will differ from company to company. So it becomes challenging for a standard CRM to give accurate search results. 

Introducing Einstein Search

In order to help enterprises overcome these complex search challenges, Salesforce has introduced Einstein Search which will improve & personalize CRM searches leveraging AI and fundamentally accelerate customer success. 

Personalized Results

As we have already mentioned above that a diverse user base has a different set of goals, they use CRM searches for various purposes. Einstein Search drives highly personalized results for every user. Each search result is highly tailored to offer the results that matter to you. Einstein Search utilizes innovative data mining & machine learning techniques to personalize search results. 

Relevant Results

Enterprise users expect highly seamless search experience using while using a CRM. Einstein Search offers highly relevant search results with the help of AI. For example, if a sales rep searches open opportunities in London, Einstein Search interprets that query and show open opportunities in London. The result retrieval process is extremely fast and accurate. 

Actionable Search Bar

Einstein Search not only offers fast & accurate search results within the CRM, but it also helps a user save 50% clicks and page loading time of most frequently used tasks. For example, instead of searching for a contact, clicking into their record, and then manually attaching the contact to an opportunity, you can take these same actions just by using the enhanced Einstein Search bar. 

When can you use Einstein Search? 

Einstein Search is currently in pilot and is already providing value for some of the top brands like iHeartMedia and MightyHive. It will be generally available next year for orgs with an Unlimited, Enterprise, or Performance Edition with 150+ active licenses for Sales or Service Cloud.

To know more, please get in touch with our Salesforce experts. 

ALSO READ: Decoding Einstein Analytics & how it is integrating data to accelerate business success

 

**source: salesforce.com

Salesforce

Summer’19 Release Notes: Our Top 6 Picks

Salesforce Summer’19 preview is here and we can’t be more excited about it. As expected, Summer’19 has some interesting details which will definitely help Salesforce customers increase their productivity and deliver more personalized customer journeys with the latest Customer Success Platform innovations.

Here are our top 6 picks of Summer’19 release:

Salesforce Essentials

Salesforce Essentials, which is their small business plan for its CRM (Sales Cloud) and customer support (Service Cloud) solutions, has got a lot of add-ons in Summer’19 release. Now small business can have more options to add functionality to Essentials through new add-ons like Dialer, Chat, and Messaging. They can now unify their team’s phones with Dialer and offer their customers instant conversation with Chat and Messaging. Salesforce also now offers more storage space for files and data to their Essentials customers in order to create more records and share more files.

Read More: https://sforce.co/2XF8ZsM

Salesforce Einstein

Salesforce customers using Einstein can now set up and test bots faster and with fewer queries. They can improve forecasting with support for Sales Cloud quarterly forecasts and data segments. Einstein analytics now can be used across more core Salesforce applications in order to increase productivity. Enterprises can use Data Checker to set up their predictions for success. Salesforce introduced plenty of new add-ons and enhancements in their Sales, Service, Analytics, Customization, and Development offerings.

Read More: https://sforce.co/2Dwsa03

Sales Cloud

Summer’19 release announced new features in Sales Cloud including, High-Velocity Sales Enhancements, Einstein Activity Metrics, Customizable Product Schedules, and New Einstein Features for CPQ and Pardot. Sales reps can now link sales cadences to address complex sales processes. Activity Metrics will help Einstein Activity Capture users a comprehensive view of their activity data. Complex sales processes related to incoming revenue and outgoing orders is now simplified with Customizable product schedules. Sale Cloud customers can now help their sales teams with more intelligent pricing with CPQ Einstein Pricing Guidance.

Read More: https://sforce.co/2Dt6PVy

Service Cloud

Service Cloud now has Smarter Bot Routing and Dialog Review, Improved Field Service Dispatching, and Easy Setup for Skills-Based Routing. Einstein Bot dialogs can be reviewed with ease in a visual map and new smart routing features can be used to escalate bot conversations to the right service agents. Field Service Lightning dispatcher console will help work faster with a pop-out map, long-term Gantt view, and new drag-and-drop scheduling options. Salesforce also added few productivity-boosting features for service agents including the ability to reach out to the customers with critical service updates, create more intelligent macros with conditional expressions, and merge duplicate cases.

Read More: https://sforce.co/2GtCmY6

Analytics

To boost its Analytics, Salesforce has added a number of features including Row-Level Formulas (Beta), Report Notifications, Templates with Predictive Analytics, Einstein Predictions Service. Salesforce customers can now analyze data with reports and dashboards. Row-level formulas (currently in beta) will bring the evaluative power of formulas to every record in a report. This will help in seamless search of specific data in a record and make it stand out with conditional formatting. Einstein Discovery predictions can be embedded anywhere to increase app IQ.

Read More: https://sforce.co/2PrCJqf

Communities

Summer’19 is a big boon for developers. Developers can now work more efficiently on communities using a host of new API enhancements. Salesforce Mobile Publisher now has enhanced features and Community Cloud users can also take advantage of new list view improvements such as pinned list views, custom mass actions, and custom list views on tasks. Community users can now use mass actions in communities, saving them time and minimizing the challenges associated with opening records one by one. Developers now have the option of customizing community user settings with the new Customizable User Settings component. And users can now filter contextual Einstein Analytics Dashboards on record pages.

Read More: https://sforce.co/2XIXUqH

Apart from these, Summer’19 also introduced myTrailhead, using which companies can offer their employees the same skill-based, gamified learning experience as Salesforce Trailhead with content that you create for your company.

Read the complete Summer’19 Release Note here.

 

*Source: www.salesforce.com

AI, Salesforce

How Salesforce is using AI across its platform

In an interview during Salesforce World Tour in London this month, the head of the Salesforce Einstein product team discussed how they are using top-notch data science techniques and enable their customers to get best experiences in Salesforce’s SaaS platform.

Since Salesforce has acquired MetaMind and appointed its Founder Richard Socher as the Chief Scientist of the company, the primary objective is to implement intelligent features more into Salesforce’s CRM software. This will provide more access and insights to Salesforce’s customers in the sales, marketing, and customer service domain.

This was the idea behind the Einstein brand which was announced during Dreamforce 2016. Since then, each year Salesforce is introducing innovative groundbreaking features in it’s AI platform. Salesforce’s AI and Machine learning in-charge Marco Casalaine and his team work with all the product teams on each cloud platform within Salesforce – be it Marketing, Sales, Service, Analytics or Commerce, to discover areas where AI could be used to make it better. Salesforce has embraced AI in various platforms as well as in MyEinstein platform, which presents the underlying technology to customers looking for customized deployments.

Customized AI with MyEinstein
MyEinstein represents Salesforce Einstein, which is AI for it’s CRM platform. The objective is to allow customers to develop custom AI models on their Salesforce data to help them predict business outcome and take productive business decisions.

Enterprises can develop smarter, more predictive applications which can leverage their Salesforce data and solve their specific business challenges with MyEinstein. So, without the need for a data scientist, an organization can have AI that is customizable for their business.

Einstein Vision
Now you can harness the power of image recognition to resolve a broad range of specialized use cases by leveraging pre-trained classifiers.

Einstein Object Detection
Train models to identify objects within the images and detect types and numbers of the objects at scale.

Einstein Sentiment
You can now leverage the power of natural language processing to analyze the sentiment of text and classify it as positive, negative, or neutral.

Einstein Intent
Use this fully customizable service to classify the underlying intent in a body of text to understand what customers need across all channels.

Future Roadmap
Customers are expecting a lot from Salesforce AI. AI implementations take longer to roll out than usual features. Currently, Salesforce is working on Einstein prediction builder, which is built on the MyEinstein platform and is aimed at putting predictions right where you are in Salesforce.

Salesforce-Einstein-Analytics
Einstein, Salesforce

Salesforce Einstein Analytics Helps Leverage Your Data Pay Back

So, if you have been using Salesforce for some time now and as well have tons of data that you plan to leverage!!
Then, you are ready to move ahead and grab the Salesforce Einstein Analytics, which is the Salesforce based cloud platform. It connects with multiple data sources, along with creating interactive views of the same providing insights and contexts to take all your business decisions and actions based on them.

In fact, the volume of data rising dramatically, the process of manual analysis has become a remote possibility. The platform is said to bring about some good advanced analytics capabilities powered with the artificial intelligence to the fingertips of the CRM users. Thanks to the Einstein Analytics with AI, they are currently well-equipped to take much more informed decisions, faster.

The Salesforce-Einstein-Analytics

How specifically does Einstein Analytics help Business grow?

Once configured effectively, all of customer data, including both the social and activity data (beginning from email, Chatter, calendar etc.) can be fed within the Einstein which will churn out the customized models for each customer using its AI engine.

The relevant insights and easily interpretable visual representations using all the Dashboards etc., business users now have the access to Descriptive analytics, Diagnostic analytics, Predictive analytics and Prescriptive analytics.

Based on these, some of the immediate benefits can be listed as below:

  1. Devise the customized marketing strategies for each customer
  2. Plan the finest next steps for any client
  3. Devise much more better customer service and as well engagement roadmaps
  4. With significant patterns available, based on the business users’ data, clients can be given better recommendations
  5. Personalized interactions with each vital account helps business growth avenues
  6. Assist with the Measuring, Optimizing and as well Modifying the Campaigns run by the organization
  7. The possibilities are immense if they are rightly implemented and configured in accordance with the business specific customization.

The Salesforce Einstein Analytics – Points to Remember

Einstein Data Discovery now called Einstein Discovery

In the current situation Salesforce offers the Einstein Analytics apps, three out-of-the-box modes:

It is said that the Salesforce Einstein Analytics Sales app has indeed pre-configured KPIs for roles. This allows for good collaboration between managers and executives. This can as well be used to manage forecasts, gain some pipeline visibility, track the entire team performance and at the same time close deals with opportunities from anywhere, at any time.

AI, Einstein, Einstein Analytics, Salesforce

Now enhance your customer relationships with Salesforce Einstein AI and Analytics

Salesforce’s Einstein AI platform: What you need to know? 

Many organization has found an answer to this question. In fact, it is true that most of the organizations these days knows the beneficial aspects of  Einstein AI platform, but very few people know about the recently introduced Field Service Lightning by Einstein AI and Analytics.

Salesforce, the global leader in CRM, has launched Einstein AI and Analytics for Field Service Lightning. This is done to empower companies to deliver better on-site customer experience. Field Service Lightning is designed in such a manner that it now brings together the insights and the mobile intelligence workers need. This would ultimately increase the productivity, boost the on-site efficiency and also drive revenue.

It is true that the Salesforce Service Cloud has indeed redefined the entire customer service across every major technological shift – this involves the cloud, social, mobile, messaging and more. Now with the introduction of Field Service Lightning, Salesforce has extended the power of Service Cloud to even create a full-service platform for all the managers, dispatchers and mobile workers. Hence, now you can enhance your customer relationships with Salesforce Einstein AI.

The Field Service Lightning Brings Insights and On-site:

With three novel innovations, Field Service Lightning has enabled every organization—managers, dispatchers and even the mobile workers—to move with speed and efficiency. These innovations include the following:

Einstein Vision for Field Service:

The Einstein Vision for Field Service is designed to harnesses the power of the artificial intelligence to bring the aspect of image recognition to field service. Companies indeed can leverage trained image classifiers – to handle a broad range of specific image-recognition use cases. For instance, with all the similar looking parts and even serial numbers, the dishwasher repairs often gets complex. Now a dishwasher repairer, who has to replace a water inlet valve can just take a picture of the valve, and the Einstein Vision for Field Service will instantly recognize the exact product type – hence, saving time for the customer and the company.

Equipment and Inventory Management:

The Equipment and Inventory Management is designed to leverage scheduling automation. This is done to ensure the right work crew, and the specific equipment is always in place. Managers and dispatchers are indeed able to send technicians into the field with confidence, with the knowledge that they are armed with the equipment and knowledge to complete the job during the first visit. For instance, a cable company dispatcher can utilize Equipment and Inventory Management to see which technician is closest to the customer and is equipped with the right cable wire to get the set up done successfully.

The Field Service Analytics:

Field Service Analytics provides actionable insights to all managers so that they can improve the overall productivity throughout their mobile workforce. These Service managers can now integrate all the data into one simple application for a complete view of the mobile workforce. And then, they can take the right mode of action from their dashboards. For instance, a service manager at a medical device company can immediately see that several of her technicians are in fact struggling to install an EKG machine. Hence, enabling her to identify the classes and set up times for them to shadow the senior professionals and get the job done perfectly.

Image Recognition with the New Einstein Vision
Einstein Analytics, Salesforce

Image Recognition with the New Einstein Vision

Einstein Vision, a whole new launch of APIs for the process of building the AI-powered applications. No sooner this vision has been initiated that Salesforce is making it easier for you to embed the process of image recognition directly into your apps. In fact, rather than taking hands into entirely building and managing the specialized infrastructure to host the deep learning models, it is always better to simply connect to Einstein Vision’s HTTP/REST API for custom image recognition.

Now, every individual can avail the advantage of pre-trained image classifiers, or rather to put it in simple words, train their custom classifiers, to solve a huge number of image recognition. This is indeed done using cases, empowering all the end users across sales, and even marketing to be smarter and predictive.

Why do we need Einstein Vision?

Einstein Vision is used to discover all your products across all the social media channels. This is done to analyze the observational data in healthcare and life science applications. Accordingly, it will enable visual search in e-Commerce apps.

  • Visual Search – A way to expand your ways, so that your targeted audience can discover your products and thereby increase sales.
  • Brand Detection – A process to monitor all your brands across the channels, to increase your marketing reach and conserve the brand integrity.
  • Product Identification – This is a way you can identify your products and at the same time streamline sales processes and customer service.

The Algorithms behind Einstein Vision

It is true that the Einstein Vision utilizes the advancements made in the genre of deep learning and even an underlying architecture of the neutral networks. It is the way to classify images with absolute accuracy. This as well helps in utilizing multiple hidden layers to extract all the hidden features and assign the apt weights and biases to the feature output. There is always an input layer, where mostly all the images are fed, and even there was a hidden layer, which extracts each feature of the image’s contours, the shapes, and even the corners to predict new images eventually.

How does this vision work?

It is true that the Einstein Vision is a part of a supervised learning technique in which a model is thoroughly trained on the prelabeled training data. This training dataset consists of labeled images and is as well loaded into the Einstein via an API call. Then, a REST API call is made to train the dataset, and hence the output is a trained model ID. Finally, an API call is made to predict the label of a new image that has never been seen before.

Hence, the actual strength of the Einstein Vision is its ability to train custom models to completely to recognize the aspects you care about completely. These are some of the advancements in image recognition that are developing in the new era of customer success and enabling companies to predict the market research in a better way.

CEPTES offers a full range of Salesforce services

CEPTES provides a full range of Salesforce services from consultation to migration to implementation, support, and maintenance. For immediate contact, feel free to email us at contact@ceptes.com. We look forward to hearing from you soon!

CONTENT REFERENCE

  1. metamind.io
  2. trailhead.salesforce.com/en/projects/predictive_vision_apex
  3. github.com/rajdeepd/einstein-go-apis
  4. developer.salesforce.com/blogs/developer-relations/2017/05/using-einstein-vision-within-golang.html
  5. developer.salesforce.com/blogs/developer-relations/2017/04/using-einstein-vision-on-Heroku-or-mobile.html