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Driving financial inclusion using Artificial Intelligence

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Artificial Intelligence tools are rapidly changing how financial institutions operate, manage data, and interact with customers. The revolution brought by the AI – a blend of three advanced technologies: machine learning, natural language processing and cognitive computing – has huge implications for the financial services industry in Nigeria. According to Microsoft Nigeria Country Manager, Mr Akin Banuso, with the use of modern tools like Microsoft's Azure Machine Learning platform, Financial Service Providers can crunch large volumes of data faster and more accurately, which considerably lessens time-to-market to deliver products and services. "The AI has the potential to advance nearly every field of human endeavour and address countless societal challenges. This is why we are investing in not only making the technology more accessible, but also building capacity in the use of machine learning concepts to address analytical gaps in financial inclusion and other areas," Banuso says.


Gartner Top 10 Strategic Technology Trends for 2019

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Although science fiction may depict AI robots as the bad guys, some tech giants now employ them for security. Companies like Microsoft and Uber use Knightscope K5 robots to patrol parking lots and large outdoor areas to predict and prevent crime. The robots can read license plates, report suspicious activity and collect data to report to their owners. These AI-driven robots are just one example of "autonomous things," one of the Gartner Top 10 strategic technologies for 2019 with the potential to drive significant disruption and deliver opportunity over the next five years. "The future will be characterized by smart devices delivering increasingly insightful digital services everywhere," said David Cearley, Gartner vice president and Fellow, at Gartner 2018 Symposium/ITxpo in Orlando, Florida.


Intelligent Manufacturing with Nutanix Xi IoT – Tech Check News

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Industry 4.0 is powered by IoT devices, sensors, and web-enabled applications that can process streams of manufacturing data right on the shop floor. IoT represents a computing paradigm shift from the centralized cloud model to the decentralized edge computing model. Join this webinar to learn: How long-standing applications like SCADA can co-exist with newer apps that use AI, containers, analytics, to minimize operational technology (OT) complexity How to address challenges at the IT-OT nexus, including planet-scale operations, security at the edge, security of data, onboarding developers, and cloud-native concepts Why a platform approach is better than a vertical applications mindset, and why your application vendors and developers are already thinking this way Register now!


30,000 Images/Second: Xilinx and AMD Claim AI Inferencing Record

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On the heels of its dual announcement at the Open Compute Project Summit in Amsterdam this week (see related story), Xilinx yesterday disclosed that AMD and Xilinx have teamed to set an AI inference processing record of 30,000 images per second. The joint work of the two companies, announced at the Xilinx Developer Forum in San Jose by Xilinx CEO Victor Peng and AMD CTO Mark Papermaster, connects AMD's EPYC CPUs and the new Xilinx Alveo FPGA accelerator card, announced yesterday at the OCP Summit. The record, running a batch size of 1 and Int8 precision, was accomplished on a system that leverages two AMD EPYC 7551 server CPUs with PCIe connectivity, along with eight Alveo U250 accelerator cards. In a blog post, Xilinx said the inference performance is powered by Xilinx ML Suite, which allows developers to optimize and deploy accelerated inference and supports various machine learning frameworks, such as TensorFlow. The benchmark was performed on the GoogLeNet convolutional neural network.


Microsoft announces Windows support for ROS robotics development Internet of Business

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Microsoft is demonstrating greater commitment to robotics by announcing Windows support for the Robot Operating System (ROS) and joining an industrial consortium. ROS is a flexible framework that enables developers to write software for advanced robotic behaviours. While the collection of tools, libraries, and conventions has historically only had official support on Linux, developers will now be able to utilise the tools in Windows 10. The move will see Microsoft work with Open Robotics and the ROS Industrial Consortium to bring the Robot Operating System to Windows. Microsoft has also joined the Consortium, which works to extend the advanced capabilities of ROS into manufacturing and improve the productivity and return on investment of industrial robots.


Robotics Heavyweights Embrace NVIDIA's Jetson AGX Xavier For AI Edge Intelligence

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NVIDIA Isaac platform with Jetson Xavier, a computer designed specifically for robotics.NVIDIA Robots are a well-established part of manufacturing but have the opportunity to unlock new efficiencies in industries such as retail, food service and healthcare. To date, robots have primarily been enclosed or segmented into specific areas to protect people from possible injuries. Today, companies want to integrate robotics into various types of workplaces, but this requires a new design paradigm for robotics. Allowing a robot to move freely in an unpredictable environment requires fast, reliable, intelligent computing within the robot. The ability to deliver this level of complex computing at within a small component, at a low price point has held the robotics industry back.


How AI Is Enhancing Advertising Innovation

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This article is part of our September 2018 series about the state of advertising. Artificial intelligence is being deployed far and wide in marketing and advertising. In fact, many of the tasks being handled by machine learning and other AI tools are making possible the kinds of user experiences that could not be possible even a couple of years ago. For example, AI is doing the heavy lifting to enable personalization and agile product development to meet the rising demands of consumers. "AI is doing way more than just housekeeping," said Keith Eadie, VP and GM of Adobe Advertising Cloud.


The Coming Revolution In Software Development

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We may not be close to getting artificial intelligence like that of C-3PO. But AI is setting the scene for a revolution in software development. For decades, software development has been done manually. From punching cards in FORTRAN to writing distributed systems in Go, the discipline has remained fundamentally the same: think deeply about a problem, come up with a clever approach (i.e., algorithm) and give the machine a set of instructions to execute. This method, which could be called "explicit programming," has been integral to everything from the mainframe to the smartphone, from the internet boom to the mobile revolution.


Microsoft's AI Capabilities Are Underappreciated

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Artificial Intelligence ("AI") is a megatrend that all technology companies are paying attention to. Gartner estimates the value businesses derive from AI will reach $1.2 trillion this year (Source: Gartner Says Global Artificial Intelligence Business Value to Reach $1.2 Trillion in 2018). When most investors think about ways to invest along this AI theme, common ideas are to invest in AI chipmaker Nvidia (NVDA), the intelligence search engine/everyday research assistant Google (GOOGL) (NASDAQ:GOOG), or the everything store that is gathering data on everyone's shopping behavior Amazon (AMZN). Microsoft (MSFT) doesn't often come up in this conversion, but it probably should. Since taking over as CEO of Microsoft, Satya Nadella has made AI a major focus.


Python rival? Programming language 'Julia' is winning over developers.

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A young programming language for machine learning is on the rise and could be soon gunning for Python. Python is now one of the most popular programming languages among developers and could soon overtake C . But a much younger language, Julia "a possible alternative to Python" is catching on quickly. While developers have been using Python for nearly 30 years and is being spurred on by machine learning and data scientists, Julia has only been available since 2012 but is now showing up in numerous language popularity rankings. Last week, analysts from the TIOBE programming language index noted that Julia for the first time made its top 50 list.