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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The degrees will include MBA, MCA, and BBA with specialization in AI, Data Science, Full Stack Development, Business Analytics, Digital Marketing and E-commerce, and Cloud Computing.

Great Learning, an EdTech company for professional and higher education, announced collaboration with JAIN (Deemed-to-be University), Bengaluru, to offer contemporary online degree programs in high-demand domains seeking a skilled workforce. This collaboration offers MBA, MCA, and BBA programs with specialties in Digital Marketing, Data Science, Full Stack Development, Cloud Computing, and Artificial Intelligence.

These UGC recognized degree programs have been designed by academia and industry to help students master core concepts in various specializations. In addition to the degree from the University, the students will also receive an Advanced Professional Certificate from Great Learning.

These programs, which will be delivered online, working professionals too can continue to work and simultaneously get their degree in future-focused, high-growth domains. The MBA program in Digital Marketing and Data Science includes new-age skills like Artificial Intelligence, Data Analytics, Python, Predictive Analytics, and Web and Social Media Analytics, along with the traditional curriculum. The MCA programs cover some of the most sought-after skills by the industry including Python, SQL & NoSQL, Microsoft Azure, AWS, Data Visualization, Software Engineering, Business Analysis, and Data Communication.

the programs include practical projects that would help learners develop acumen in solving real-world business problems and gaining hands-on experience in the application of these skills. Upon the completion of the programs, learners will receive a master’s or bachelor’s degree from JAIN (Deemed-to-be University).

Great Learning will also provide placement assistance to the learners and connect them to the right job opportunities through its placement assistance program, GL Excelerate. The platform has partnered with 400+ leading organizations including JP Morgan, Barclays, Tata Consultancy Services, Accenture, HSBC, Bank of America, Capgemini, and Cognizant.

The launch of these programs comes after the recent announcement by the government under the New Education Policy that enables universities to offer online degrees.

Mohan Lakhamraju, Founder and CEO, Great Learning said, “With digital skills like Data Science, Analytics, AI, Machine Learning, Cloud Computing, Digital Marketing becoming critical building blocks for most roles across industries, it is essential to include them as a part of the curriculum.”

Raj Singh, Vice Chancellor, JAIN (Deemed-to-be University) said, “In the era when the Universities as we have known them, are beginning to change and the future is certainly going to belong to micro-credentials offered by the best faculty from across the world, two categories of the audience will be the beneficiaries; the ones who need to upskill for emerging job profiles without leaving their current jobs in ‘anything, anywhere and anytime’ mode and those who haven’t had access to quality education yet. By serving these two categories of learners through the UGC-approved online degrees, JAIN (Deemed-to-be University) will not only help the Government to achieve a higher Gross Enrolment Ratio (GER) but also make a sustainable impact on the society, as enshrined in its vision and mission. The specialized certifications by Great Learning in Industry 4.0 technologies will place the students a notch above their contemporaries.”

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BOSTON–(BUSINESS WIRE)–AtScale, the leading provider of intelligent data virtualization, today announced a partnership with DataRobot, the leading enterprise AI platform, to deliver a turnkey approach to predictive and descriptive data analysis. The partnership builds a bridge between data science and business intelligence to incorporate and share the same KPIs used for predictive and prescriptive business decisions.

“We are thrilled to partner with DataRobot to accelerate our go-to-market within the data science community. DataRobot’s vision for maximizing business value via AI is unparalleled, and the combination of our capabilities is another step toward democratization of predictive and prescriptive analytics,” said Christopher Lynch, executive chairman and CEO, AtScale.

Organizations globally are moving AI predictions into day-to-day business operations. The combination of DataRobot and AtScale provides a consumable enterprise metrics hub with consistent, governed KPIs and a simplified interface for automated feature creation utilizing DataRobot’s Feature Importance and Impact functionality. AtScale uniquely makes DataRobot predictions consumable to business intelligence and reporting workstreams, providing both technical and non-technical stakeholders access to predictions using the tool of their choice.

“Our global market presence and diverse customer base continue to highlight the need for greater unity between the data science and business intelligence communities,” said Jeremy Achin, co-founder and CEO, DataRobot. “AtScale’s intelligent data virtualization adds a new business constituency in the enterprise who can incorporate AI predictions for operational decision making.”

About AtScale
AtScale powers the analysis used by the Global 2000 to make million dollar business decisions. The company’s Intelligent Data Virtualization platform provides organizations the opportunity to enhance or create a self service data culture by leveraging its business-friendly semantic layer, intelligent data engineering, easy-to-use web-based design interface, multi-cloud support, and strong data source and client integration.

Learn more about why AtScale is a leader for enterprises to deliver fast, accurate data-driven business intelligence and machine learning analysis at scale in GigaOm’s Data Virtualization Radar Report. For more information, visit www.atscale.com, and connect with us on Twitter, and LinkedIn.

About DataRobot
DataRobot is the leader in enterprise AI, delivering trusted AI technology and enablement services to global enterprises competing in today’s Intelligence Revolution. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting-edge software and world-class AI implementation, training, and support services, empowers any organization – regardless of size, industry, or resources – to drive better business outcomes with AI.

DataRobot has offices across the globe and funding from some of the world’s best investing firms including Alliance Bernstein, Altimeter, B Capital Group, Cisco, Citi Ventures, ClearBridge, DFJ Growth, Geodesic Capital, Glynn Capital, Intel Capital, Meritech, NEA, Salesforce Ventures, Sands Capital, Sapphire Ventures, Silver Lake Waterman, Snowflake Ventures, Tiger Global, T. Rowe Price, and World Innovation Lab. DataRobot was named to the Forbes 2020 Cloud 100 list and the Forbes 2019 and 2020 Most Promising AI Companies lists, and was named a Leader in the IDC MarketScape: Worldwide Advanced Machine Learning Software Platforms Vendor Assessment. For more information visit www.datarobot.com, and join the conversation on the DataRobot Community, More Intelligent Tomorrow podcast, Twitter, and LinkedIn.

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