FM Logistic Reduce Network Costs with Riverbed

Zycko | December 14, 2016

Riverbed Technology, the application performance company, has announced that FM Logistic, an international leader in warehousing, transport and packaging, is using Riverbed SteelHead to reduce global network costs while improving application performance and business agility. In the year since it was deployed, Riverbed SteelHead with its industry-leading WAN-Optimisation and application-defined SDN-WAN (software-defined WAN) capabilities, delivered dramatic improvements in employee productivity by increasing network resiliency, accelerating application performance and reducing network costs worldwide, leading to payback period of 12 months. Based in France, FM Logistic is a French Logistics business, founded in 1967. The company operates in 13 countries, with a staff of over 12,800 and more than 700 applications running on its network. In 2015, revenues grew to $1.2 billion and corporate customers include L’Oréal Bosch, Nestlé and Unilever.


Choosing the right path for mobile app development is a very important decision, and it can involve multiple approaches based on the app and your target audience. To help get a better understandingof the options and benefits of different mobile app dev strategies, we’ve created this helpful infographic that you’re free to view and share.

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Snow Software Again Named a Leader in Gartner’s 2020 Magic Quadrant for Software Asset Management Tools

Snow Software | July 23, 2020

Snow Software, the global leader in technology intelligence, today announced that it was recognized as a Leader in Gartner’s 2020 Magic Quadrant for Software Asset Management Tools1. This is the third year in a row that Snow has been named a Leader. Gartner’s latest report positions Snow highest for ability to execute and furthest to the right for completeness of vision. “We are delighted to be recognized once again as a Leader by Gartner,” said Vishal Rao, President and CEO at Snow. “Tectonic shifts in the global economy have elevated the need for organizations to minimize expenses, optimize costs and better understand the value of their technology. At the same time, complex hybrid environments are presenting new challenges when it comes to managing technology. That is why Snow has brought together software asset management, SaaS management and cloud management into a single platform, empowering our customers with the perspective they need to make strategic decisions and deliver unparalleled value.”

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Codecademy and Black and Brilliant Launch Africa-Based AI Accelerator

Codecademy | March 04, 2022

Codecademy, the leading online learning platform for technical skills, is partnering with The Black and Brilliant Advocacy Network to launch an Applied Artificial Intelligence accelerator and mentorship program in Africa. After launching their first accelerator together in 2021, the organizations are teaming up again to bring the program to Africa and empower a new generation of tech talent in the region. Combining upskilling and mentorship, the Codecademy and Black and Brilliant program will focus on both the hard and soft skills needed to build successful careers in AI. Over the course of 10 weeks, participants will master the fundamentals of data science, data engineering and programming using Codecademy's self-guided, hands-on learning platform. Participants will also work with a group of coaches and mentors from companies like Shopify, Google and Etsy to explore topics like user experience, ethics and bias, and the business of AI. As AI becomes more powerful, it's imperative that people of all backgrounds, nationalities, races, and genders have the opportunity to leverage that power – so that they can make an impact on their communities and the world at large, Through education and mentorship, our goal is to empower a new generation of global leaders in AI, equipping them with the skills they need to solve problems and incite change through technology." Zach Sims, co-founder and CEO of Codecademy. Founded by husband-and wife-team Tony Effik and Perky Noah-Effik, Black and Brilliant is an advocacy group focused on initiatives to diversify workforces and streamline talent pipelines for BIPOC communities. After meeting Codecademy's CEO Zach Sims at an event with the United Nations last year, the two founders immediately saw an opportunity to work together given their organizations' shared mission to democratize career opportunities in technology. Growing up in the UK and Nigeria, and even now, I continue to meet brilliant Africans with the potential to play a role in the global digital economy, We decided with Codecademy to coalesce around the idea of helping a foundational group leapfrog to the most current technology. Our hope is that this group helps the next cohort, and so on. We are grateful for Codecademy and how its platform democratizes learning and makes this all possible." Tony Effik, Co-Founder of Black and Brilliant and Managing Director at Google. As artificial intelligence becomes a more powerful and influential technology, it has the potential to be a transformative force in Africa — helping to reduce inequality, alleviate poverty and improve access to public services like health and education. Limited access to AI education, however, remains a barrier to ensuring the impact of AI is felt throughout African societies. Codecademy and Black and Brilliant's accelerator program aims to equip local technologists with the skills they need to lead careers in AI and continue driving innovation in the region. About Codecademy Codecademy is a leading online learning platform for technical skills, empowering millions of people worldwide to lead inspiring careers in technology. Codecademy's innovative, scalable approach to online coding education makes it possible for anyone to master the skills needed to succeed in our tech-enabled workforce. Since 2011, over 50 million learners from 190 countries have accessed Codecademy's extensive course offerings on web development, data science, cybersecurity, and more, as well as in-demand programming languages like Python, CSS, and JavaScript. In addition to helping individuals unlock the full power of technology, Codecademy for Business supports companies like General Motors and Kayak as they train and upskill their teams for the future. Codecademy is headquartered in New York City. About Black and Brilliant Black and Brilliant is an advocacy group - for people of all backgrounds - united in creating a more diverse workforce. Founded in 2020 with the aim of challenging and eliminating the ideas that far too many corporate leaders hold about the lack of black talent in business. At Black and Brilliant, we are fascinated by the possibilities that digital transformation can bring, ranging from disciplines and technologies like Artificial Intelligence, to Crypto to Cyber Security.

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Distributed SQL database capabilities come to MariaDB X5

MariaDB Corporation | July 16, 2020

Database vendor MariaDB updated its flagship platform with a new release out Thursday that brings a series of enhancements, including distributed SQL capabilities. The new MariaDB Platform X5 is the second major release from the open source database vendor in 2020, following the MariaDB X4 release on Jan. 14. Based in Redwood City, Calif., the company has also been busy in 2020 launching its SkySQL cloud database as a service on March 31 and announcing a $25 million round of funding on July 9. Matt Aslett, research director at S&P Global Market Intelligence, said the vendor's move to enable distributed SQL capabilities, which enable a database to scale out, as being of interest to a portion of MariaDB's customers."Its [MariaDB's] combination of multi-version concurrency control and consensus to support strong consistency will certainly be of interest to customers that require support for globally distributed transactions," Aslett said.

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Silicon Labs Brings AI and Machine Learning to the Edge with Matter-Ready Platform

Silicon Labs | January 24, 2022

Silicon Labs, a leader in secure, intelligent wireless technology for a more connected world, today announced the BG24 and MG24 families of 2.4 GHz wireless SoCs for Bluetooth and Multiple-protocol operations, respectively, and a new software toolkit. This new co-optimized hardware and software platform will help bring AI/ML applications and wireless high performance to battery-powered edge devices. Matter-ready, the ultra-low-power BG24 and MG24 families support multiple wireless protocols and incorporate PSA Level 3 Secure Vault™ protection, ideal for diverse smart home, medical and industrial applications. The SoC and software solution for the Internet of Things (IoT) announced today includes: Two new families of 2.4 GHz wireless SoCs, which feature the industry's first integrated AI/ML accelerators, support for Matter, Zigbee, OpenThread, Bluetooth Low Energy, Bluetooth mesh, proprietary and multi-protocol operation, the highest level of industry security certification, ultra-low power capabilities and the largest memory and flash capacity in the Silicon Labs portfolio. A new software toolkit designed to allow developers to quickly build and deploy AI and machine learning algorithms using some of the most popular tool suites like TensorFlow. The BG24 and MG24 wireless SoCs represent an awesome combination of industry capabilities including broad wireless multiprotocol support, battery life, machine learning, and security for IoT Edge applications." Matt Johnson, CEO of Silicon Labs. First Integrated AI/ML Acceleration Improves Performance and Energy Efficiency IoT product designers see the tremendous potential of AI and machine learning to bring even greater intelligence to edge applications like home security systems, wearable medical monitors, sensors monitoring commercial facilities and industrial equipment, and more. But today, those considering deploying AI or machine learning at the edge are faced with steep penalties in performance and energy use that may outweigh the benefits. The BG24 and MG24 alleviate those penalties as the first ultra-low powered devices with dedicated AI/ML accelerators built-in. This specialized hardware is designed to handle complex calculations quickly and efficiently, with internal testing showing up to a 4x improvement in performance along with up to a 6x improvement in energy efficiency. Because the ML calculations are happening on the local device rather than in the cloud, network latency is eliminated for faster decision-making and actions. The BG24 and MG24 families also have the largest Flash and random access memory (RAM) capacities in the Silicon Labs portfolio. This means that the device can evolve for multi-protocol support, Matter, and trained ML algorithms for large datasets. PSA Level 3-Certified Secure VaultTM, the highest level of security certification for IoT devices, provides the security needed in products like door locks, medical equipment, and other sensitive deployments where hardening the device from external threats is paramount. AI/ML Software and Matter-Support Help Designers Create for New Innovative Applications In addition to natively supporting TensorFlow, Silicon Labs has partnered with some of the leading AI and ML tools providers, like SensiML and Edge Impulse, to ensure that developers have an end-to-end toolchain that simplifies the development of machine learning models optimized for embedded deployments of wireless applications. Using this new AI/ML toolchain with Silicon Labs's Simplicity Studio and the BG24 and MG24 families of SoCs, developers can create applications that draw information from various connected devices, all communicating with each other using Matter to then make intelligent machine learning-driven decisions. For example, in a commercial office building, many lights are controlled by motion detectors that monitor occupancy to determine if the lights should be on or off. However, when typing at a desk with motion limited to hands and fingers, workers may be left in the dark when motion sensors alone cannot recognize their presence. By connecting audio sensors with motion detectors through the Matter application layer, the additional audio data, such as the sound of typing, can be run through a machine-learning algorithm to allow the lighting system to make a more informed decision about whether the lights should be on or off. ML computing at the edge enables other intelligent industrial and home applications, including sensor-data processing for anomaly detection, predictive maintenance, audio pattern recognition for improved glass-break detection, simple-command word recognition, and vision use cases like presence detection or people counting with low-resolution cameras. Alpha Program Highlights Variety of Deployment Options More than 40 companies representing various industries and applications have already begun developing and testing this new platform solution in a closed Alpha program. These companies have been drawn to the BG24 and MG24 platforms by their ultra-low power, advanced features, including AI/ML capabilities and support for Matter. Global retailers are looking to improve the in-store shopping experience with more accurate asset tracking, real-time price updating, and other uses. Participants from the commercial building management sector are exploring how to make their building systems, including lighting and HVAC, more intelligent to lower owners' costs and reduce their environmental footprint. Finally, consumer and smart home solution providers are working to make it easier to connect various devices and expand the way they interact to bring innovative new features and services to consumers. Silicon Labs' Most Capable Family of SoCs The single-die BG24 and MG24 SoCs combine a 78 MHz ARM Cortex-M33 processor, high-performance 2.4 GHz radio, industry-leading 20-bit ADC, an optimized combination of Flash (up to 1536 kB) and RAM (up to 256 kB), and an AI/ML hardware accelerator for processing machine learning algorithms while offloading the ARM Cortex-M33, so applications have more cycles to do other work. Supporting a broad range of 2.4 GHz wireless IoT protocols, these SoCs incorporate the highest security with the best RF performance/energy-efficiency ratio in the market. About Silicon Labs Silicon Labs (NASDAQ: SLAB) is a leader in secure, intelligent wireless technology for a more connected world. Our integrated hardware and software platform, intuitive development tools, unmatched ecosystem, and robust support make us an ideal long-term partner in building advanced industrial, commercial, home, and life applications. We make it easy for developers to solve complex wireless challenges throughout the product lifecycle and get to market quickly with innovative solutions that transform industries, grow economies, and improve lives.

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Choosing the right path for mobile app development is a very important decision, and it can involve multiple approaches based on the app and your target audience. To help get a better understandingof the options and benefits of different mobile app dev strategies, we’ve created this helpful infographic that you’re free to view and share.