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Infosys launches artificial intelligence platform Mana ETtech

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Software services major Infosys has launched an artificial intelligence platform'Mana' that will help clients drive automation and innovation. The company said that the platform, that brings machine learning together with'deep knowledge of an organisation', will enable businesses to continuously reinvent their system landscapes and lower maintenance cost of assets. Coupled with Aikido service offerings, Mana will help clients capture knowledge while delivering new and delightful experiences to their end users, it said. "Over the last 35 years, Infosys has maintained, operated and managed systems with global clients across every industry. Building on this deep experience, Infosys has recognised the need to bring artificial intelligence to the enterprise in a meaningful and purposeful way," Infosys CEO and Managing Director Vishal Sikka said at Infosys Confluence 2016.


Nine Python Machine Learning Books

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Building Machine Learning Systems with Python (2013): Master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide. Machine Learning in Action (2012): Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. Programming Collective Intelligence: Building Smart Web 2.0 Applica... (2007): This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. Machine Learning: An Algorithmic Perspective (2011): The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work.


Infosys Launches Mana โ€“ a Knowledge-based Artificial Intelligence Platform - insideBIGDATA

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Infosys (NYSE: INFY), a global leader in consulting, technology, and next-generation services, announced the launch of Infosys Mana, a platform that brings machine learning together with the deep knowledge of an organization, to drive automation and innovation โ€“ enabling businesses to continuously reinvent their system landscapes. Mana, with the Infosys Aikido service offerings, dramatically lowers the cost of maintenance for both physical and digital assets; captures the knowledge and know-how of people and fragmented and complex systems; simplifies the continuous renovation of core business processes; and enables businesses to bring new and delightful user experiences leveraging state-of-the-art technology. Over the last 35 years, Infosys has maintained, operated and managed systems with global clients across every industry. Building on this deep experience, Infosys has recognized the need to bring artificial intelligence to the enterprise in a meaningful and purposeful way; in a way that leverages the power of automation for repetitive tasks and frees people to focus on the higher value work, and on breakthrough innovation. Today's AI technologies address part of this with learning and information; Infosys is now bringing this together in a fundamental way with knowledge and understanding of the business and the IT landscape โ€“ critical knowledge that is locked inside source code, application silos, maintenance logs, exception tickets and individual employees.


Cloud Academy & AWS: How we use AWS for Machine Learning and Data Collection

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Speak with Alex Casalboni, Roberto Turrin and Luca Baroffio, a dedicated team inside our Engineering group at Cloud Academy, and learn how they use AWS to manage daily challenges and build a Machine Learning system. You'll learn: - How to deploy Machine Learning models in the Cloud. Start our 7-day free trial and enjoy the content: https://cloudacademy.com/


The NIPS experiment ยซ Machine Learning (Theory)

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Corinna Cortes and Neil Lawrence ran the NIPS experiment where 1/10th of papers submitted to NIPS went through the NIPS review process twice, and then the accept/reject decision was compared. This was a great experiment, so kudos to NIPS for being willing to do it and to Corinna & Neil for doing it. The 26% disagreement rate presented at the conference understates the meaning in my opinion, given the 22% acceptance rate. The immediate implication is that between 1/2 and 2/3 of papers accepted at NIPS would have been rejected if reviewed a second time. For analysis details and discussion about that, see here.


Why image recognition is about to transform business

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At Facebook's recent annual developer conference, Marc Zuckerberg outlined the social network's artificial intelligence (AI) plans to "build systems that are better than people in perception." He then demonstrated an impressive image recognition technology for the blind that can "see" what's going on in a picture and explain it out loud. From programs that help the visually impaired and safety features in cars that detect large animals to auto-organizing untagged photo collections and extracting business insights from socially shared pictures, the benefits of image recognition, or computer vision, are only just beginning to make their way into the world -- but they're doing so with increasing frequency and depth. It's busy enough that the upcoming LDV Vision Summit, an annual conference dedicated to all things visual tech, from VR and cameras to medical imaging and content analysis, is already in its third year. "The advancements in computer vision these days are creating tremendous new opportunities in analyzing images that are exponentially impacting every business vertical, from automotive to advertising to augmented reality," says Evan Nisselson of LDV Capital, which organizes the summit.


Shutterstock Has Trained A Computer To Find You The Perfect Photos

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Computer vision technology will help you find the best stock images of whatever strikes your fancy. It's in a European city somewhere, with narrow cobblestone streets, and the fence is in front of an old-looking brick building. The bike is shiny and blue, with a basket, sort of old fashioned. You can't see the sky, but you can tell it's a somewhat sunny day. There's no way I could possibly find a picture of a scene like this one on the Internet. Sure, I can type in keywords like "blue bike next to fence in Europe" and it will show me some results that are tangentially related if I'm lucky.


VirtusaPolaris and WorkFusion to Deliver Robotic Automation and AI-powered Cognitive Automation to the Financial Services Sector

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WIRE)--VirtusaPolaris, the market-facing brand of Virtusa Corporation and Polaris Consulting & Services, Ltd. and a leading worldwide provider of information technology (IT) consulting and outsourcing services, and WorkFusion, the leading smart process automation (SPA) provider, today announced a partnership to deliver new smart automation solutions for the banking and financial services (BFS) market. The combination of VirtusaPolaris' deep BFS industry and process expertise and WorkFusion's cutting edge platform will help clients reduce operational costs, while improving quality, productivity and agility. "Most financial services organizations continue to struggle with inefficient legacy systems that have not kept pace with the change in business and regulations, introducing gaps in process automation that negatively impact efficiency of business operations. Many of these gaps are low complexity high volume routine process steps and most organizations have deployed large operational workforces, frequently offshore, to handle these processes," said Bob Graham, global solutions head, Banking and Financial Services at VirtusaPolaris. "WorkFusion's combination of robotic and cognitive automation supported by VirtusaPolaris' expert consulting and implementation services allow customers to improve quality through greater accuracy and the removal of human error, reduce costs through rapid automation of manual tasks, and accelerate time to market with our proven delivery approach."


It takes more than a machine to define normal (via Passle)

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Machine learning and the holy grail of anomaly detection are getting a lot of attention from investors and businesses at the moment. A subset of artificial intelligence, machine learning explores the study and construction of algorithms that can learn from, and make predictions on, data. To detect an anomaly, you first have to determine what is normal and this is easier said than done for the majority of businesses. Anomaly detection requires an organisation to define roles and responsibilities and to put in place robust identity and access controls โ€“ all of which pose the question: if this was defined and in place, would I need anomaly detection anyway? There is huge scope for machine learning to become effective, simply because of the way we can now collate, store and analyse data with new business dynamic SMAC (Social, Media, Analytics and Cloud). Machine learning is now being used for assigning hospital beds to root cause analysis for quality improvements and for advanced marketing activities to personalise the consumer shopping experience.


AI and cloud computing are future at Google: Sundar Pichai

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Taking a break from the tradition where Google founders Larry Page and Sergey Brin shared the company's progress and vision every year, this time it was Indian-origin CEO Sundar Pichai who updated the world with some of Google's achievements and key highlights. In a letter posted on official Google blog on Friday, Pichai reiterated "to organise the world's information and make it universally accessible and useful". Touching upon artificial intelligence (AI), powerful computing platforms and cloud, he stressed that mobile phone has become the remote control for daily lives and people are communicating, consuming, educating and entertaining themselves on smartphones "in ways unimaginable just a few years ago". "Search -- the very core of Google, comes from mobile and an increasing number of them via voice. The company made this easy and via Google Now, user can get information like the weather in your upcoming vacation spot," he posted.