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Artificial intelligence to amplify digital transformation: Vishal Sikka

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San Francisco: The digital transformation can best be achieved by adopting automation and artificial intelligence (AI) and the growing symbiosis between Infosys and Oracle is going to help achieve this goal faster than ever, said Infosys CEO Vishal Sikka.

Addressing a gathering of top innovators at Oracle’s OpenWorld 2015 conference here on October 27, Sikka emphasised on how AI can be a great amplifier to simplify and enable existing landscapes as well as build intelligent systems that help us solve our most complex emerging problems.

“The world is looking at providing services in a better way. I observe three major shifts – focus on experience among consumers, emergence of AI and the ultimate cloud phenomenon,” he added.

Sikka also announced that the Infosys Finacle’s core banking solution – running on new and secure Oracle SuperCluster M7 microprocessor – has set a new record for the number of banking transactions processed.

“The solution supported more than two billion bank accounts with near linear scalability. The results showcase Finacle’s capabilities to manage extraordinarily large transaction volumes to help banks cater to their growing business demands at reduced costs,” he said.

The tests were conducted across a mix of delivery channel transactions that could originate from branches, ATMs, online and mobile channels.

According to Ganesh Ramamurthy, senior vice president (product development) at Oracle, the SuperCluster M7 microprocessor and SPARC T7 and M7 systems offer breakthrough technology for memory intrusion protection and encryption.

“Infosys’ latest Finacle results on SuperCluster M7 demonstrate the superior performance, efficiency and security capabilities of SPARC M7 with Oracle Database 12c and WebLogic Server 12c for critical banking functions,” he explained.

According to Sikka, their future strategy will not be completed without the help from Oracle and its diverse portfolio.

“We together are creating a sort of symbiosis. Infosys is emerging as a great change agent and we are collaborating with Oracle in innovations in java,” he said.

He also spoke about AiKiDo – a new offering that comprise three enhanced service offerings in knowledge-based IT (KBIT), platforms and design thinking.

Infosys has deployed a number of systems that replicate human decision-making in areas such as financial service regulation and ticketing of IT issues, thus enabling productivity improvements by up to 40 percent and saving customers millions of dollars annually.

In addition to this, Infosys is working with global clients to use artificial intelligence to address business challenges.

Infosys is utilising artificial intelligence techniques to solve complex engineering problems in design, testing, and certification of complex engineering products.

“I am optimistic that artificial intelligence techniques will help us solve next-generation problems, and that humans will play the most important part in this process,” Dr Sikka added.

Infosys has delivered nearly 30 projects for clients using artificial intelligence. Many of these first projects have been in manufacturing and financial services.

Infosys is currently developing solutions based on artificial intelligence to solve complex problems in the engineering space.

(Nishant Arora,IANS)

 

 

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Google Claims Eye Doctors Can Turn More Effective Using AI

Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm. 

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The research team at Google AI believes that some of these pitfalls may be avoided if the computer can "explain" its predictions. Pixabay

As Artificial Intelligence (AI) continues to evolve, diagnosing diseases has become faster with greater accuracy. A new study from the Google AI research group shows that physicians and algorithms working together are more effective than either one alone.

In the study, to be published in the journal Ophthalmology, the researchers created a system which not only improved the ophthalmologists’ diagnostic accuracy but also improved the algorithm’s accuracy.

The study expands on previous work from Google AI showing that its algorithm works roughly as well as human experts in screening patients for a common diabetic eye disease called diabetic retinopathy.

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To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance. Pixabay

“What we found is that AI can do more than simply automate eye screening, it can assist physicians in more accurately diagnosing diabetic retinopathy. AI and physicians working together can be more accurate than either one alone,” said lead researcher Rory Sayres.

Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said.

According to the team, previous attempts to use computer-assisted diagnosis shows that some screeners rely on the machine too much, which leads to repeating the machine’s errors, or under-rely on it and ignore accurate predictions.

The research team at Google AI believes that some of these pitfalls may be avoided if the computer can “explain” its predictions.

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Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said. Pixabay

To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance.

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Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm.

With assistance, general ophthalmologists match but do not exceed the model’s accuracy, while retina specialists start to exceed the model’s performance. (IANS)