Wednesday July 17, 2019
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Adobe Announces Global Availability of AI-powered ‘Experience Platform’

With over 5,500 employees, India is the second largest establishment for Adobe and over a third of the company's overall R&D happens out of the India labs

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Software major Adobe on Tuesday announced the global availability of “Adobe Experience Platform” for customer experience management (CXM).

Stitching together data from across the enterprise, the platform enables real-time customer profiles leveraging Adobe Sensei, the company’s artificial intelligence (AI) and machine learning (ML) technology.

To help enterprises deliver personalised experiences in real-time, the Adobe Experience Platform activates content based on these customer profiles, the San Jose, California-headquartered company said at its annual summit here.

“Solving today’s data challenges require a cloud-based, hyper-scale architecture with a rich data pipeline and real-time customer profile powered by AI and ML,” said Abhay Parasnis, Executive Vice-President and Chief Technology Officer, Adobe.

“Adobe Experience Platform is purpose-built for capturing, processing and actioning data in real-time, enabling enterprises to deliver rich and relevant experiences to their customers,” Parasnis said.

Every enterprise today is struggling to handle the explosion of data, which is being driven by rich customer experiences, multiple devices and IoT.

These companies are spending massive amounts of time and resources trying to build their own infrastructure to manage and sort the data.

Adobe Acrobat Reader. Pixabay

Adobe said it is offering Adobe Experience Platform to bring together all data sources from across the enterprise and rationalise the data for real-time actionability.

Some of the world’s largest brands, including 3M, Best Buy, Home Depot, Kohl’s, Marriott, Sony PlayStation and Verizon Wireless, are already using Adobe Experience Platform in beta.

At the Adobe Summit 2019, the company announced its partnership with US-based cloud computing firm ServiceNow to accelerate customer experience management across enterprises.

Adobe on Tuesday also announced an extension of its partnership with Microsoft and a new integration with LinkedIn Marketing Solutions that will accelerate account-based experiences (ABX) through new marketing solution integrations.

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“Orchestrating the engagement of multiple individuals in a complex marketing and sales journey is at the heart of account-based experiences and what B2B (business-to-business) marketers do day in and out,” said Steve Lucas, Senior Vice-President, Digital Experience Business at Adobe.

“With these new account- based capabilities, marketing and sales teams will have increased alignment around the people and accounts they are engaging, and new ways to measure that business impact,” Lucas said.

With over 5,500 employees, India is the second largest establishment for Adobe and over a third of the company’s overall R&D happens out of the India labs. (IANS)

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Researchers Develop AI Algorithm That can Solve Rubik’s Cube in Less Than a Second

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems

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Researchers have developed an AI algorithm that can solve a Rubiks Cube in a fraction of a second, faster than most humans. The work is a step toward making AI systems that can think, reason, plan and make decisions.

The study, published in the journal Nature Machine Intelligence, shows DeepCubeA — a deep reinforcement learning algorithm programmed by University of California computer scientists and mathematicians — can solve the Rubik’s Cube in a fraction of a second, without any specific domain knowledge or in-game coaching from humans.

This is no simple task considering that the cube has completion paths numbering in the billions but only one goal state – each of six sides displaying a solid colour – which apparently can not be found through random moves.

“Artificial Intelligence can defeat the world’s best human chess and Go players, but some of the more difficult puzzles, such as the Rubik’s Cube, had not been solved by computers, so we thought they were open for AI approaches,” said study author Pierre Baldi, Professor at the University of California.

“The solution to the Rubik’s Cube involves more symbolic, mathematical and abstract thinking, so a deep learning machine that can crack such a puzzle is getting closer to becoming a system that can think, reason, plan and make decisions,” Baldi said.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

For the study, the researchers demonstrated that DeepCubeA solved 100 percent of all test configurations, finding the shortest path to the goal state about 60 per cent of the time.

The algorithm also works on other combinatorial games such as the sliding tile puzzle, Lights Out and Sokoban.

The researchers were interested in understanding how and why the Artificial Intelligence (AI) made its moves and how long it took to perfect its method.

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“It learned on its own, our AI takes about 20 moves, most of the time solving it in the minimum number of steps,” Baldi said.

“Right there, you can see the strategy is different, so my best guess is that the AI’s form of reasoning is completely different from a human’s,” he added.

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems. (IANS)