CUSTOMER



I, retail robot – how AI is changing the face of the market - Fourth Source

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With the Artificial Intelligence (AI) market predicted to grow at a CAGR of 53.65% from 2015 to 2020, momentum for AI is undoubtedly surging. AI, which is essentially the capability of a machine to imitate intelligent human behaviour (such as visual perception, speech recognition, etc.) and carry out multiple tasks, is proven to drive greater efficiency, and is on course to play a key role in propelling the growth of the retail sector. As consumers continue to demand greater speed and easier access to product and service information, fuelled by our connected world and the internet of things, AI will dramatically enhance the customer experience through improving responsiveness, personalisation and productivity. The potential of AI and its anticipated impact on the future of retail is massive, and by embracing it early on, brands and retailers have the opportunity to gain a major competitive edge.



Big data, analytics comes before artificial intelligence: panel

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Insurers are keen to adapt artificial intelligence in the enterprise, but first they must build up a layer of data and analytics excellence.


Infosys launches integrated AI platform to boost digital tech services

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Infosys has introduced a next-generation artificial intelligence (AI) platform, Nia, to strengthen its digital technology-based services.


Infosys launches integrated artificial intelligence platform 'Nia' - ETtech

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IT services provider Infosys on Thursday announced the launch of Infosys Nia, the next-generation Artificial Intelligence (AI) platform building on the success of the Company's first-generation AI platform, Infosys Mana, and its Robotic Process Automation (RPA) solution, AssistEdge.


Interpretable Machine Learning

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While understanding and trusting models and their results is a hallmark of good (data) science, model interpretability is a serious legal mandate in the regulated verticals of banking, insurance, and other industries. This talk presents several approaches beyond the error measures and assessment plots typically used to interpret deep learning and machine learning models and results.


Metamorphosis of marketing

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Machine learning and AI are forcing a marketing paradigm shift, driving personalised messaging, in real time to the right customer at a lower cost. Where there is a fusion of offline into online, where capability is exceptional including tech, analytics, strategy and business acumen. Machine learning and AI are forcing a marketing paradigm shift, driving personalised messaging, in real time to the right customer at a lower cost. Machine learning and AI are forcing a marketing paradigm shift, driving personalised messaging, in real time to the right customer at a lower cost.


Mintigo Delivers Artificial Intelligence for SAP C4C

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Amazon is 'doubling down' on the Echo ecosystem

Engadget

Amazon is off to a profitable start in 2017. The company's first-quarter sales jumped 23 percent to $35.7 billion, beating analyst expectations, and top executives pinned part of that spike on the Alexa ecosystem.