Einstein Analytics

CRM, Einstein Analytics, Sales Cloud

Enhancing your Salesforce CRM performance with Einstein AI

We all agree Artificial Intelligence (AI) is a disruptive technology in today’s data-driven business world. There are vast amounts of data generating from multiple sources, and it is nearly impossible to collect, store, use, maintain, and access all the data.

Data is the new oil and it is extremely essential for businesses to unlock data secrets in order to achieve better business results. Salesforce as the #1 CRM provider in the world has been transforming businesses of various sizes & types by optimizing critical business processes. And data is playing a significant role in this. Data that is not being used properly is of no use. Even storing & maintaining the data comes with a huge cost. 

Here analytics plays a key role in helping enterprises leverage the power of their CRM data in order to give customer insights so that every customer interaction can be personalized with higher engagement. Salesforce is no different. With the help of next-gen analytics, enterprises can extend the power of the platform and accelerate their journey to success. 

  • An efficient method of data management
  • Optimized way of sales strategy
  • A more accurate way of sales forecasting
  • Increased customer satisfaction
  • Reduces the cost
  • From purchase history, it can determine the buying trends
  • Better sentiment and intent analysis recommends products and up-selling
  • Increases productivity

Einstein Analytics which is the only business analytics solution native to Salesforce, allows users to accelerate sales, enhance customer service, optimize business processes, and maximize ROI from their marketing campaigns. 

Now the main topic arises, How Einstein AI enhances CRM performance?

  • Einstein AI mainly works on Sales, Marketing, and Services.
  • The AI spends time with customers, knows the customer needs, and then predicts the best next step. It understands the points where business lags, and it indicates to expand your business better.
  • Einstein AI keeps a check on the social media platform and decides what people like the most. By this, it predicts the best customers at every campaign, reaches them at the right time to deliver the right services and products.
  • Knowing the customer’s needs can cross-sell and upsell the product at the right time, and it can predict the product break before using that product.
  • Einstein AI has shown significant change and development patterns in the business, shifting the domain from business-oriented to customer-oriented.
  • Einstein AI takes care of the past reviews for guiding light to the future strategies. If that service or product is highly appreciated, it works to make it better, and if the service or product is criticized, it works to reflect better results.

You will be astonished to know that,

  • Einstein AI can work very smoothly without hiring a data scientist.
  • It can automatically simplify and predict the routine tasks. 
  • It can manage the customer responses and creates more enthusiasm within the customers to buy the products.

To summarize,

  • Einstein AI works very smoothly; it manages every customer’s responses and deals with every customer properly to enhance the business and increases productivity.
  • It checks every customer’s interest from their social media and deals with that type of product.
  • The Einstein AI checks the past responses and makes the service or product the better way for the future, and it also checks the customers’ criticism, and it reflects to give the best results. 
  • Einstein AI works without any data scientist, and it manages customer responses to create satisfaction within the customers.

CEPTES, as a Certified Salesforce Silver consulting partner with over a decade of technical expertise, provides the service starting from the initial build to test and deploy with an accelerated development cycle. 

To give your employees and partners a consistent view of data and access to new insights using Einstein Analytics, get in touch with our team.

Einstein Analytics

Salesforce Brings Voice to Every Customer Experience – Einstein Voice Capabilities

Dreamforce 2019 is in full swing & Salesforce has already introduced some groundbreaking features. The day one of the Dreamforce witnessed a major push for Einstein AI. Einstein has been Salesforce’s go-to product since its launch in 2016. The majority of Salesforce customers are using Einstein analytics to get business insights. With the introduction of Einstein voice capabilities, Salesforce is bringing a voice to every customer experience spanning across the Salesforce Customer 360 Platform. 

Einstein Voice Assistant will guide at every action, insight, and prediction which will make Salesforce users more productive on the go. Einstein Voice capabilities will help developers and admins develop custom voice-powered applications with a few clicks. With this, new solutions for service and sales teams will apply natural language processing to voice conversations and deliver insights that drive intelligent & personalized customer engagement. 

Voice has become the most adopted way of communication in day to day life. A big majority of the people are already using a voice-activated device to perform multiple tasks without tapping a keyboard. Salesforce is helping companies bring voice’s potential to CRM to transform the way we work. 

Einstein Voice Assistant was introduced for the first time during Dreamforce 2018. It was meant to help sales reps to talk to Salesforce in order to perform regular CRM tasks. This helped sales reps focus more time on their core work. This Dreamforece, Salesforce announced that it is going to expand the Einstein Voice Assitant capabilities powered by Einstein Voice Skills that will help admins & developers to create custom voice apps across the Customer 360 Platform in just a few clicks. 

With Einstein Voice, manual data entry and navigation can be eliminated and developers/admins will be able to build custom skills for CRM action like updating a field, creating a task or reading out a prediction. Apart from this, powered by Einstein, new voice intelligence uses natural language processing to call transactions helping sales reps and service agents with insights and trends that will drive personalized & intelligent engagement.  

Service Cloud Voice

The new Service Cloud Voice enables integration between telephony inside Service Cloud that includes integrating phone, digital channels, and CRM data in real-time in one centralized console. Service Cloud Voice can also integrate with transcription services that convert voice to text in real-time. One of the other advantages of this new Service Cloud feature is, it can enable Einstein to show relevant AI-powered recommended responses, knowledge articles and the next best actions for service agents on voice calls. 

New Einstein Call Coaching for Sales Cloud

With this new feature of Sales Cloud, sales managers can see insights and trends within conversational data. NLP identifies keywords in sales call transcripts, sending alerts of trends like a spike in competitor mentions. These insights can be used to provide sales reps with personalized inputs to improve the customer buying experience. 

Voice Interoperability: Einstein Voice for Any Device 

As part of Salesforce’s voice interoperability initiative, Einstein Voice Skills will be compatible with a wide range of devices from smart speakers to smart devices.

*source: salesforce 

Einstein, Einstein Analytics, Marketing Cloud

Salesforce has Introduced New Einstein Email Capabilities for its Marketing Cloud

Salesforce has recently introduced new email features in its Marketing Cloud in order to make email capabilities more efficient. The new Einstein Email capabilities will help new-age marketers enhance their productivity, send more personalized emails and drive more customer engagement. 

Salesforce’s intelligence platform Einstein Analytics is currently helping marketers get valuable insights in order to run more efficient campaigns as well as drive high-level personalization. Salesforce has now introduced enhancements on its email content selection, copying and messaging front. Einstein Content Selection, a powerful feature automatically recommends assets to use throughout messages that are customized to customer’s specific interests. 

Einstein Copy Insights uses natural language processing (NLP) to identify most engaging words and phrases for email subject lines, text messages and social media copy to improve engagement. With the new Einstein Messaging Insights, marketers will be now notified which email journeys or messages are underperforming or overperforming. This will help them to take future actions. 

Apart from these, Salesforce’s acquired Rebel (Interactive email provider) team will now enable creating interactive emails that will allow recipients to take action directly within an email. This is similar to AMP for Gmail where users browse image carousels, fill forms, register events, etc. directly from their inbox. Salesforce is planning to launch this pilot early in 2020 with its Email Studio & Journey Builder. 

Salesforce has also introduced two features to boost email marketing journey template creation. Journey Templates supports the sharing of templates across organizations. Einstein helps it to be more effective by recommending better performing content, text, or journey paths. These new features will automatically identify errors prior to springing a campaign and also identify items that require improvements. 

Email marketing has been one of the top drivers for marketers. A majority of the SMBs rely on email marketing for customer acquisition. Personalization is the key when it comes to improving email marketing for engagement and sales. These new Einstein capabilities in the email powered by AI & interactive email components will surely help marketers improve customer engagement. 

To get the best of your Salesforce Marketing Cloud investments and to make your email marketing more efficient, please get in touch with our Certified Marketing Cloud experts. 

Also Read: Decoding Einstein Analytics & how it is integrating data to accelerate business success

 

Einstein Analytics

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

In today’s connected world, data is at the center of every business decision. Research shows that every day 2.5 exabytes of new data is being generated. Isn’t that huge? As a business grows, it adds new users and generates even more data. Data volume is growing at a radical pace and we just can’t stop it. However, data is the greatest source for businesses to understand their customers and themselves. According to McKinsey & Co, businesses that embrace data-driven strategies witness 5% higher productivity and 6% higher profits than their competitors. 

The dependency on data for business growth is only going to increase as more and more digital data becomes available. But, to remain competitive, a business needs to do more than just collecting data. In order to achieve a higher competitive edge, business needs to be proficient of capturing, analyzing and deriving valuable insights from every piece of data available from all source, and most importantly in real-time. And believe it, Einstein Analytics is the solution your business need. 

How Einstein Analytics is connecting data?

If you are using any of the Salesforce Cloud solutions (Sales Cloud, Service Cloud, Marketing Cloud, Financial Cloud, etc.), you can use Einstein Analytics to discover insights, predict outcomes, find recommendations, and act smartly on a comprehensive AI-powered analytics platform. Einstein Analytics helps you make the right business decision every time using analytics that go beyond any other BI software. 

With Einstein Analytics in place, data can be brought in together from multiple sources by enabling the ‘Data Sync’ feature. When we say from multiple sources, it doesn’t only refer to your Salesforce system. You can connect objects from all your external sources including AWS, Google, SAP HANA, Heroku, NetSuite and also On-premise systems in order to visualize your entire business in one screen. 

External data ConnectOne of the best capability of Einstein Analytics is data manipulation. A high volume of data collected from multiple sources can be manipulated within Einstein Analytics to get prediction reports. Einstein Discovery enables users to identify relevant facts and themes using data in their Einstein Analytics datasets. Let’s talk a little more about Einstein Discovery.

dataflow for data manipulationOnce you are done analyzing Einstein Analytics dataset, Einstein Discovery quickly sifts through a huge volume of data to find important correlations and make accurate predictions. Einstein Discovery answers key business questions including what happened (outcome), why did it happen (factors), what are some possible actions that could improve the outcome (improvements), etc. 

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Einstein Analytics offers an intuitive dashboard that can be customized. You can create your own dashboard embedding multiple data. Different pie-charts, tables, images can be used in the dashboard for better user experience and understanding. Einstein Templated Apps make it easy for you to get started. These pre-built templates help you quickly create best-practice dashboards and KPIs that you can use to drive business success. You can get the exact information you need by tailoring analytics to your business, all in a real-time. Whereas the Faceting feature enables the fastest and easiest way to connect widgets on a dashboard. All faceted components on the dashboard can interact with each other. Einstein Analytics has a lot of customized filters that help users have a view of the information they want to see. 

templated apps

Businesses using a Salesforce system and dealing with a lot of data must leverage Einstein Analytics to get the best out of their data. Einstein Analytics is a thriving success enabling Sales Analytics, Service Analytics, Field Service Analytics, Marketing Analytics and much more all within the world’s #1 CRM platform. 

Top 5 Benefits

  • See trends by connecting data from any source, right into Salesforce.
  • Customize and extend your analytics to match your needs.
  • Make smarter decisions with AI-augmented data discovery and explanations.
  • Get predictions and recommended actions.
  • Deliver augmented analytics on the world’s most trusted cloud platform.

To give your employees and partners a consistent view of data and access to new insights using Einstein Analytics, get in touch with our team.

Einstein Analytics, Salesforce

Salesforce Einstein Analytics Spring ‘18 Release : All the Highlights

Since years, Salesforce users were using operational reports and dashboards to access their business data, analyze business performance and deliver results. It was a tough task for them to manually manage data, as over the year the amount of data has grown exponentially. As analytics became more vital for businesses than ever before, Salesforce has launched their own analytical platform called Einstein Analytics. The core intention was to allow Salesforce users identify critical business trends, understand every correlation and test every hypothesis by using advanced analytics powered by artificial intelligence (AI). Einstein Analytics became a huge success immediately as companies used it in order to facilitate their sales process, service agents, marketers and business analysts to make customer interaction smarter and data-oriented.

In the first phase of its release, Einstein Analytics delivered a huge portfolio of contextually relevant and powerful apps that empower every Salesforce users to explore data and unfold insights. Built on world’s #1 CRM platform and powered by AI, Einstein Analytics can automatically process and analyze billions of data to discover new opportunities for Salesforce users. Since it’s introduction, Salesforce used to add new features and upgrade Einstein Analytics for better business visibility and results. In their latest Spring’18 Release, Salesforce amazed the entire world of analytics with it’s latest Einstein Analytics features and the ability to work faster and smarter with Einstein intelligence and Lightning benefits.

Summary of Spring 18 Release Note: Einstein Analytics & Reports and Dashboards

Salesforce has launched the second beta version of their Lightning report builder with powerful features in their Spring ’18 release. With bucket columns, cross filters, and summary formulas, it has become more user-friendly. One can avail all the advantages of Lightning report builder once they upgrade to the Lightning platform. Salesforce has scored few integrated and fun learning features to their Einstein Analytics platform. Now you can quickly query and add visualize data in a guided, natural language conversation(beta). You can save views of dashboards with your preferred set of selections and filters. Users can now analyze their report data with Einstein Data Insights (pilot).

In this blog post, we are going to highlight all the important Einstein Analytics Spring’18 release notes. We can categorize all the new features into 5 segments and discuss each of them individually.


Analytics Onboarding
This came with expanded help menus, learning map and adventure app. To add more value to their customer service, Salesforce has included in-app Help, walkthroughs, resource maps, and samples of chats and app building. A user can find the best approach that works for him.

The Einstein Analytics Help menu has a new design. Now a user can access resources, from documentation to videos whenever required and wherever you are in the Einstein Analytics. Now you can preview help articles in the menu without signing out from the app. In the new Help menu, one can access the walkthrough option which will guide in the explorer by pointing out major features. The new Learning Map offers a set of key resources for each action in every stage of the Einstein Analytics journey. This map is highly engaging and helps users access smoothly inside the analytics platform. For the first time, Salesforce has introduced Einstein Analytics Learning Adventure app that educates on best practices for designing right visualizations and for developing robust and dynamic apps. This app was built and runs in Einstein Analytics.

Analytics App Building
This allowed conversational exploration, context-sensitive chart builder, and images in tables. App building creates charts more quickly by specifying which fields to use for chat features like axes, bubble size, and bubble color. Make tables visually pleasing by displaying photos, icons, and other related images. A user can create his/her own view of a dashboard by selecting preferred sections and filters. You can now see results over time with the new time bar and time combo charts and can even share information about each data point in a chat with customized tooltips and markers. The Analytics platform continues to develop with more REST APIs and personal view support in embedded dashboards. Even you can write your own queries by using the new SAQL documentation.

Analytics Data Integration
Salesforce added new connectors and improvements including Windows Azure and Snowflake to the Dataflow Editor and Dataset Recipes. With the new connectors, more data can be connected and it will spend less time in the data flow editor due to productivity tweaks. Each connection now counts toward the maximum of 50 objects (before it was 20) that you can replicate in Analytics. The dataflow editor now allows you rename nodes, override field attributes for Salesforce data, and produce field modifications to downstream nodes. You can run dataflow even without leaving dataflow editor. Export transformation generates the data file in a specified source node in the dataflow and once the dataflow runs, Einstein Discovery users can access these files in the Datasets tab. A user can now run and schedule recipes from the recipes list and quickly check what dataset the recipe is based on. Overall this will allow a user to take more control of data preparation with recipe enhancement and a better view of datasets.

Analytics Prebuilt Apps
The latest enrichment of Einstein Analytics witnessed some interesting add-on features in Analytics Prebuilt Apps. Now it is easier to get valuable customization features to dig deep into your business data to analyze your sales, marketing, or service related insights.

analytics prbulit

Prebuilt apps are now easier to customize, and can perform faster. You can now point and click to enhance Sales Analytics and Service Analytics dashboards as per your requirement without the help of any code. With global filters, dynamic time period selectors, and other additional enhancements both apps are faster and more robust than before. Two separate dashboards for service team and technical team help them understand the flow & deliver great customer service. Blended with the Service Analytics app, Field Service Analytics allows service managers and technical managers just-in-time analytics to optimize the result of field service appointments. You can get a clear idea of your data and service interactions with the help of intuitive visualization. Einstein Analytics is now coming with a new wizard which let you pick between creating a basic and custom version of the app. This makes app creation easy and predictable. Service Analytics helps you identify actionable insights to improve customer conversation.

Einstein Discovery
Salesforce has introduced Einstein data insights (pilot) to produce smarter reports. Einstein intelligence will analyze your report data to help you understand it better by revealing the insight bits that you can work on. Einstein summarizes key takeaways, comparisons, and trends with engaging charts and metrics. You can also easily access more data in less time. With the use of Einstein Analytics dataflow, Einstein Discovery dataset has been created based on data from Salesforce objects, replicated objects, or existing datasets. Einstein Discovery supports data that contains UTF-8 character encoding. A user can now upload and analyze data in any language which uses the UTF-8 encoding such as Arabic, Russian, or Hebrew. Salesforce is now piloting native support for importing Einstein Discovery recommendations into a Salesforce object.

Final Thoughts
There has been a lot of buzz about the much awaited Salesforce Spring ’18 Release and what is going to be next in Einstein? Though some of the features were predicted by many, Salesforce has introduced some highly exciting new features and stunned most of the Salesforce users. Now, few of the features will affect immediately, and few need an expert consultation before the users can leverage the new functionalities. But as spring often considered as the beginning, Einstein Analytics finally comes off age. New features and enhancements have intensified Einstein’s potential to help businesses close deals, increase customer relationships, and more. To learn more, how you can use the immense potential of Salesforce Einstein Analytics to optimize your business profitability, get in touch with our Salesforce experts today.

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.

einstein ai
AI, Einstein Analytics, Salesforce

Salesforce latest Einstein’s AI tool can detect feelings !!

It’s time to be alert!! Now even Robots can identify anger as well as fear, or any other sentiment, that you might share with a corporation over the Social Media.

At a TrailheaDx developer conference held in San Francisco, Salesforce announced the launch of it’s three new tools, to make it easier for developers to incorporate artificial intelligence into a custom application. To be precise, Salesforce is expanding its Einstein artificial intelligence service for marketers to measure brand sentiment and as well recognize the picture of the subject. It is hence, great news for companies looking to boost the efficiency of their inventory management and customer service.

An Insight
The vast number of 4 million developers being present in the developing community of Salesforce, creates apps that run on top of their primary customer relationship management product. These are in turn utilized by their users to customize the tools. Last year the Salesforce Einstein, which is known to provide artificial intelligence capabilities to developers have been adding different types of AI-related features. These included certain features like, Guidance that predicts the financial performance based on performance data, and even Discovery, which helps users to find the insightful needle in the haystack of data.

However, the new services that appeal to marketers more are the sort of tone of any given text. Yes!! It’s true that now a developer can consider a text as positive, negative or neutral. Let us have a look at the three new services:

Einstein Sentiment – This is the one that analyzes a text over the social media platform or even the reviews, to clarify the reaction over it. Now one will be able to judge whether one loves, hates, or is completely indifferent towards their product. An added feature to this is that it lets you reach out to the haters with support answers, without having to read the tweets.

Einstein Intent – This is said to be more focused on the inbound communication to a business through some support channels. It is again said to analyze texts in hopes of correctly routing and even responding accurately to a customer request.

Einstein Object Discovery – This is nothing but an image recognition model, which can diligently be trained to recognize your product even in the wild. Salesforce is said to think that product companies shall utilize this to identify inventory levels at retails stores. However, this has been designed to detect when someone is slamming your product over the social media platform with just a picture, without even mentioning the product name.

Hence, this is another example of a major cloud service provider, for organizations to maintain a more detailed customer management system!

CONTENT REFERENCE

  1. www.geekwire.com/2017/salesforces-new-einstein-ai-services-can-detect-social-media-hates-product/
  2. blogmag.in/salesforce-introduces-several-einstein-ai-tools-for-third-party-developers/
  3. www.businessinsider.in/Salesforces-newest-Einstein-AI-tools-can-tell-when-people-are-mad-in-texts-and-emails/articleshow/59365098.cms
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