Tag Archives: Adobe Sensei

Adobe introduces AI assistant to help Analytics users find deeper insights

Posted on by

Adobe Analytics is a sophisticated product, so much so that users might focus on a set of known metrics at the cost of missing key insights. Adobe introduced an AI-fueled virtual assistant called Intelligent Alerts today to help users find deeper insights they might have otherwise missed.

John Bates, director of product management for Adobe Analytics says that in the past, the company has used artificial intelligence and machine learning under the hood of Analytics to help their users understand their customer’s behavior better. This marks the first time, Adobe will be using this technology to understand how the user works with Analytics to offer new data they might not have considered.

“Historically we’ve analyzed the data that we collect on behalf of our customers, on behalf of brands and help provide insights. Now we’re analyzing our users’ behavior within Adobe Analytics, and then mashing them up with those insights that are most relevant and personalized for that individual, based on the signals that we see and how they use our tool,” Bates explained.

Adobe Intelligent Alerts. Screenshot: Adobe

Bates says that this isn’t unlike Netflix recommendations, which recommends content based on other shows and movies you’ve watched before, but applying it to the enterprise user, especially someone who really knows their way around Adobe Analytics. That’s because these power users provide the artificial intelligence engine with the strongest signals.

The way it works is the analyst receives some alerts they can dig into to give them additional insights. If they don’t like what they’re seeing, they can tune the system and it should learn over time what the analyst needs in terms of data.

Intelligent Alert Settings. Screenshot: Adobe

They can configure how often they see the alerts and how many they want to see. This all falls within the realm of Adobe’s artificial intelligence platform they call Sensei. Adobe built Sensei with the idea of injecting intelligence across the Adobe product line.

“It’s really a vision and strategy around how do we take things that data scientists do, and how we inject that into our technology such that an everyday user of Adobe Analytics can leverage the power of these these advanced algorithms to help them better understand their customers and better perform in their jobs,” he said.


By Ron Miller

Adobe CTO leads company’s broad AI bet

Posted on by

There isn’t a software company out there worth its salt that doesn’t have some kind of artificial intelligence initiative in progress right now. These organizations understand that AI is going to be a game-changer, even if they might not have a full understanding of how that’s going to work just yet.

In March at the Adobe Summit, I sat down with Adobe executive vice president and CTO Abhay Parasnis, and talked about a range of subjects with him including the company’s goal to build a cloud platform for the next decade — and how AI is a big part of that.

Parasnis told me that he has a broad set of responsibilities starting with the typical CTO role of setting the tone for the company’s technology strategy, but it doesn’t stop there by any means. He also is in charge of operational execution for the core cloud platform and all the engineering building out the platform — including AI and Sensei. That includes managing a multi-thousand person engineering team. Finally, he’s in charge of all the digital infrastructure and the IT organization — just a bit on his plate.

Ten years down the road

The company’s transition from selling boxed software to a subscription-based cloud company began in 2013, long before Parasnis came on board. It has been a highly successful one, but Adobe knew it would take more than simply shedding boxed software to survive long-term. When Parasnis arrived, the next step was to rearchitect the base platform in a way that was flexible enough to last for at least a decade — yes, a decade.

“When we first started thinking about the next generation platform, we had to think about what do we want to build for. It’s a massive lift and we have to architect to last a decade,” he said. There’s a huge challenge because so much can change over time, especially right now when technology is shifting so rapidly.

That meant that they had to build in flexibility to allow for these kinds of changes over time, maybe even ones they can’t anticipate just yet. The company certainly sees immersive technology like AR and VR, as well as voice as something they need to start thinking about as a future bet — and their base platform had to be adaptable enough to support that.

Making Sensei of it all

But Adobe also needed to get its ducks in a row around AI. That’s why around 18 months ago, the company made another strategic decision to develop AI as a core part of the new  platform. They saw a lot of companies looking at a more general AI for developers, but they had a different vision, one tightly focussed on Adobe’s core functionality. Parasnis sees this as the key part of the company’s cloud platform strategy. “AI will be the single most transformational force in technology,” he said, adding that Sensei is by far the thing he is spending the most time on.”

Photo: Ron Miller

The company began thinking about the new cloud platform with the larger artificial intelligence goal in mind, building AI-fueled algorithms to handle core platform functionality. Once they refined them for use in-house, the next step was to open up these algorithms to third-party developers to build their own applications using Adobe’s AI tools.

It’s actually a classic software platform play, whether the service involves AI or not. Every cloud company from Box to Salesforce has been exposing their services for years, letting developers take advantage of their expertise so they can concentrate on their core knowledge. They don’t have to worry about building something like storage or security from scratch because they can grab those features from a platform that has built-in expertise  and provides a way to easily incorporate it into applications.

The difference here is that it involves Adobe’s core functions, so it may be intelligent auto cropping and smart tagging in Adobe Experience Manager or AI-fueled visual stock search in Creative Cloud. These are features that are essential to the Adobe software experience, which the company is packaging as an API and delivering to developers to use in their own software.

Whether or not Sensei can be the technology that drives the Adobe cloud platform for the next 10 years, Parasnis and the company at large are very much committed to that vision. We should see more announcements from Adobe in the coming months and years as they build more AI-powered algorithms into the platform and expose them to developers for use in their own software.

Parasnis certainly recognizes this as an ongoing process. “We still have a lot of work to do, but we are off in an extremely good architectural direction, and AI will be a crucial part,” he said.


By Ron Miller

Adobe wants to be your customer experience record keeping system

Posted on by

For years, the goal of marketers was to understand the customer so well, they could respond to their every need, while creating content specifically geared to their wishes. Adobe Cloud Platform has long acted as a vehicle to collect and understand customer data inside the Adobe toolset, but today Adobe took that a step further.

The company hopes to transform Adobe Cloud Platform into a company’s experience record keeping system, a central place to collect all the data you may have about a customer from both the Adobe Cloud Platform and external data sources.

Suresh Vittal, vice president of platform and product at Adobe Experience Cloud says tools like CRM were intended to provide a record keeping system for the times, and they were fine in a period when entering and retrieving data was state of the art, but he thinks there needs to be something more.

“A lot of investments for past generations of software evolution have been around batch-based operational systems. While they were necessary back then, they are not sufficient where these brands are going today,” he told TechCrunch.

Adobe Systems world headquarters in San Jose, California USA Photo: Getty Images Lisa Werner / Contributor

Over time, as companies gather more and data, Adobe believes they need something that centers around the dynamic interactions brands are having with customers. “We believe every customer needs an experience system of record, a central [place to record] where the brand brings together experience data, content and a unified profile to power the next generation of experience,” he said.

To achieve this goal, the company is doing more than creating a new construct, it has built a new data model along with tools for data scientists to build custom data models.

Of course where there is data, there needs to be some machine learning and artificial intelligence to help process it, especially in a case where the goal is to pull disparate data into a central record. Adobe’s particular flavor of AI is called Sensei and the company is giving developers access to the some of the same AI algorithms it uses in-house to build its platform.

Any time you start pulling data together from a variety of sources to create a central record keeping system about a customer, there are huge privacy implications, and even more so with GDPR coming on line at the beginning of May in the EU. Vittal says the company has built in a governance and compliance layer into the toolset to help companies comply with various regulations around sharing data.

“You cannot turn all of this data into something useful without safeguards— semantics and control.” He says this involves creating a data catalogue, labeling data in the record and associating rules with each type. That way, data emanating from the EU will need to be handled a certain way, just as any personally identifiable information needs to be safeguarded.

This is where the machine learning comes in. “When you create data across the experience system of record, the data catalog recognizes [certain types of] data and recommends labels based on types of data using machine learning.”

All of this is very likely an attempt to compete with Salesforce, which provides sales, marketing and customer service stitched together with their own artificial intelligence layer, Einstein. The recent $6.5 billion MuleSoft purchase will also help in terms of pulling data of disparate enterprise systems and into the various Salesforce tools.

The tools and services announced today give Adobe a fully intelligent, machine learning-driven solution of their own. The whole notion of a customer experience record, while a bit of marketing speak, also serves to help differentiate Adobe from the pack.