Albert Einstein spent the fall of 1915 overeating and sleeping in. He’d discovered a flaw in his theory of gravity, and competitors circled overhead. So Einstein relaxed a bit, went back to the blackboard and, months later, wrote the equation that rules the universe.
More than a century later, today’s Einsteins - the developers who’ve changed our everyday life with apps - also find themselves at an impasse. With the consumer experience evolving through artificial intelligence (AI) in ways big and small - from tastemaking playlists to facial recognition - the enterprise now faces a competitive imperative to integrate AI into the apps their products and services run on.
Salesforce’s mission is about empowering people and App Cloud is a key part of how we enable that. From day one, our focus has been on delivering innovative tools so developers can focus only on building the apps customers love.
Today, as we launch Salesforce Einstein, we’re democratizing the technology necessary for any business to build AI-first apps. Einstein combines all of our adventurous reaches into data science, data management and modern app development into one set of platform services enabling anyone to build the next generation of apps, powered by AI, that customers will love. New technologies we’re delivering today include:
Drag and Drop AI into Lightning and Force.com Apps
In the enterprise, speed is critical. Manual, repetitive tasks can sap the productivity of business users who don’t have the developer support to automate those tasks. App Cloud rewrote the playbook when we empowered businesses to build both point-and-click, as well as complete code apps. We’re doing it again by providing the ability for business users and admins to take AI-generated results from core Salesforce apps and embed them into Lightning apps. Einstein will also support predictive scoring and recommendations as part of low-code applications and custom objects - ensuring that AI is a seamless addition to your digital organization, not a business-stopping overhaul.
PredictionIO in Heroku Private Spaces
PredictionIO, now compatible with Salesforce’s Heroku Enterprise, allows developers to build custom intelligent applications using an industry leading, open source machine learning framework. You now have the freedom to build your own predictive features from scratch, or call on open source libraries to incorporate classification, recommendation, lead scoring or trend analysis - a realm previously exclusive to data scientists.
Predictive Vision Services and Predictive Sentiment Services
We’re also launching a new set of APIs that will bring deep learning to developers with Predictive Vision Services, which classify unstructured images against a library of pre-trained classifiers. Customers can also train custom classifiers to solve specialized image recommendation use cases - such as medical imaging, product recognition, brand logos, and more. We’ll also be launching Predictive Sentiment Services to support applications with built-in sentiment analysis, such as automated analysis of social media streams that can automatically trigger workflow for negative customer sentiment.
Predictive Modeling Services
With this newfound wealth of resources in machine learning, the enterprise is free to tackle data analysis at an awesome scale. Einstein includes a new set of big data services including:
These days, it’s almost cliche to say something can disrupt an industry or transform our understanding of how things work. But every century or so, it’s true. AI really is going to disrupt and transform every industry. The enterprise, not known for its ability to turn on a dime, now faces the imperative to quickly integrate AI into its products and services or risk falling behind competitors who are.
With Einstein, the enterprise is now free to focus on its customer by seamlessly building AI into the apps that define the modern consumer experience.
Rights of ALBERT EINSTEIN are used with permission of The Hebrew University of Jerusalem. Represented exclusively by Greenlight.