Leading global technology distributor and solutions provider Avnet Asia will host the “Avnet AI Cloud Exhibition”, showcasing innovative technology, applications and solutions in Artificial Intelligence (AI) and machine learning together with its suppliers and partners. With the ability to quickly design, develop and deploy solutions, Avnet can meet the needs of a variety of application scenarios to accelerate the industrialization of artificial intelligence.

During this period, Avnet will also hold the “Avnet 2021 Artificial Intelligence Cloud Conference” on June 29, 2021. Joined by developers, engineers, and decision makers in the AI field, the summit will feature cutting-edge technology trends in artificial intelligence and machine learning, and in-depth discussions on the development, future prospects and blueprints for AI to encourage and accelerate innovation.

KS Lim, senior director of supplier management at Avnet Asia said, “MarketsandMarkets forecasts the global artificial intelligence (AI) market size to grow to over USD 300 billion by 2026, and the market in Asia Pacific is anticipated to grow at the highest CAGR during the forecast period. As the world’s leading technology distributor and solution provider, Avnet has a comprehensive ecosystem that provides customers with end-to-end artificial intelligence and machine learning solutions, reducing the cost and complexity of product development to enable application scenarios. We will continue to work hand in hand with our suppliers and partners to further contribute to the development and maturity of the entire AI ecosystem.”

The virtual exhibition is divided into three sections: AI smart solution demonstration area, Avnet design service demonstration area, and a partner solution demonstration area. In the AI smart solution demonstration area, participants can learn about Avnet’s various innovative technologies and industrial applications, including:

• AI camera: A smart AI camera utilizing a neural network implemented in the FPGA fabric. It integrates an independent high-performance ISP camera module based on the Xilinx Zynq7020 to achieve a variety of functions, including noise reduction, wide dynamic range, light source detection, motion detection and edge enhancement function.
• BlueBox AI platform: The embedded edge artificial intelligence box can perform multi-channel convolutional neural network operations. It facilitates real-time multi-channel AI functions such as face detection, passenger and traffic statistics, and license plate recognition. All functions operate independently and can work simultaneously to provide edge artificial intelligence analytic solutions. The box integrates all the above functions through the underlying Xilinx Zynq UltraScale+ MPSoC to perform AI computing on demand.
• ROS on Ultra96: The open source Robot Operating System (ROS) runs on the Avnet Ultra96 development board, which features the Xilinx Zynq UltraScale+ MPSoC. The programmable logic part of the Zynq UltraScale+ MPSoC provides deep learning acceleration capabilities, while consolidating a range of ROS functions such as control, SLAM, and navigation. The small form-factor Ultra96 single board computer running ROS makes an ideal platform for developing autonomous robots, service robots, and general-purpose ROS experimentation.

In the partner demonstration area, Avnet’s suppliers and partners will also showcase their innovations:

• ON Semiconductor: A variety of advanced imaging technologies such as high speed, short exposure, global shutter and platform solutions will be displayed to address the application of different scenarios such as factory automation and the challenges faced in industrial AI applications, to accelerate innovation.
• Samtec: Fast-growing technologies like Artificial Intelligence are driving new system architectures that demand increased bandwidths, frequencies and densities. To meet these challenges, Samtec offers innovative high-performance interconnects that exceed AI industry standards.
• STMicroelectronics: Introduce embedded AI solutions based on deep learning models running on high performance 32-bit microcontroller and also machine learning based MEMS sensor.
• Western Digital: IX SN530 NVMeTM industrial-grade SSD will be displayed, which supports a new generation of data-rich industrial design and autonomous vehicle design
• Xilinx: Will showcase its real-time multi-task autonomous driving AI perception processing solution, which uses the industry-leading lightweight optimization algorithm to achieve vehicle detection, lane line detection, lane detection in ADAS and autonomous driving scenarios through a single model. It can perform multiple tasks such as driving area detection and depth estimation. In addition, Xilinx will also demonstrate the application of Versal-based DPU in low-latency automatic driving and pose detection.
• YAGEO Group: Will showcase the flagship products from its main brands YAGEO, KEMET and PULSE, including YAGEO resistors, KEMET polymer capacitors, and PULSE network devices, to provide high reliability polymer and ceramic capacitor solutions for AI chips and DC power supplies for autopilot computers

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Using FICO Xpress Insight, Python Developers Can Help Business Leaders Make More Informed, Data-Driven Decisions

Highlights:

• The addition of native Python support to FICO® Xpress Insight enables Python’s 8.2 million users to empower business professionals with easy-to-use applications that can execute sophisticated analytic models.
• With FICO® Xpress Insight business users and analysts can work with any advanced analytic model in business terms to perform simulations, compare scenarios and visualize outcomes to make better informed decisions.
• Python developers can now build and operationalize Python based models all within a single framework, reducing time to deployment by orders of magnitude.

FICO, a global analytics leader, today announced it has added native Python support to FICO® Xpress Insight. Xpress Insight enables data scientists to quickly build and deploy any advanced analytic or optimization model as a powerful business application. 

Across industries, data scientists create powerful models to solve complex business problems. Yet, according to most industry analysts, more than half of data science projects are never fully deployed. FICO Xpress Insight helps translate between the data scientist and the line of business user by taking highly complex analytic or optimization models and turning them into simple point and click applications that help them make real business decisions.

“It’s a huge waste of time and resources when the models don’t reach the intended business users,” said Bill Waid, vice president and general manager of FICO® Decision Management Suite. “The real value of highly complex analytic models comes when they’re in the hands of the business users and become an integral part of their decision making process.”

The newest update to Xpress Insight enables the 8.2 million developers that use the popular coding language Python to rapidly build business applications that can execute sophisticated analytic models. Getting analytic applications into the hands of business users allows business leaders to make more informed decisions, perform simulations, compare scenarios and visualize outcomes.

“Python is one of the most productive tools for our digital and data science initiatives. Having Python supported in Xpress Insight helps us smoothly build end-to-end applications from data preparation, to modeling, to visualization,” said Sitao Zhang, data scientist, Supply Chain Digital and Data Science, Johnson and Johnson. “This new feature has not only made our applications more coherent during programming and development, but it also helps us deliver a more user-friendly experience to the business professionals using the applications to drive results.”

FICO® Xpress Insight is part of the FICO® Platform, a decisioning foundation critical for enterprises’ digital transformation. The platform is designed to eliminate data siloes and enable interoperability between enterprise applications. By connecting data-derived insights from disparate business units, enterprises can respond quickly to customers’ immediate needs and anticipate their future demands, resulting in deeper, more engaging customer experiences.

The post FICO Xpress Insight Empowers 8+ Million Python Developers to Foster Collaboration Between Data Scientists and Business Users, Drastically Accelerating Project Deployment appeared first on Artificial Intelligence.